Macarron User Manual

Abstract

Macarron is a workflow to systematically annotate and prioritize potentially bioactive (and often unannotated) small molecules in microbial community metabolomic datasets. Macarron prioritizes metabolic features as potentially bioactive in a phenotype/condition of interest using a combination of (a) covariance with annotated metabolites, (b) ecological properties such as abundance with respect to covarying annotated compounds, and (c) differential abundance in the phenotype/condition of interest.

If you have questions, please direct it to: Macarron Forum

Installation

Macarron requires R version 4.2.0 or higher. Install Bioconductor and then install Macarron:

if(!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("Macarron")

Running Macarron

Macarron can be run from the command line or as an R function. Both methods require the same arguments, have the same options, and use the same default settings. The package includes the wrapper Macarron() as well as functions which perform different steps in the Macarron framework.

Input CSV files

Macarron requires 4 comma-separated, appropriately formatted input files. The files and their formatting constraints are described below.

  1. Metabolic features abundances
    • Must contain features in rows and samples in columns.
    • First column must identify features.
  2. Metabolic features annotations
    • Must contain features in rows and annotations in columns.
    • First column must identify features.
    • Second column must contain either HMDB ID or PubChem Compound Identifier (CID).
    • Third column must contain the name of the metabolite.
    • Fourth column must contain a continuous chemical property such as m/z or RT or shift/ppm.
    • Other annotations such as RT, m/z or other identifiers can be listed column 4 onward.
  3. Sample metadata
    • Must contain samples in rows and metadata in columns.
    • First column must identify samples.
    • Second column must contain categorical metadata relevant to prioritization such as phenotypes, exposures or environments.
  4. Chemical taxonomy
    • First column must contain the HMDB ID or PubChem CID. IDs must be consistent between annotation and taxonomy files.
    • Second and third columns must contain chemical subclass and class of the respective metabolite.

If you do not have the chemical taxonomy file, you can generate this file using the annotation dataframe and Macarron utility decorate_ID (see Advanced Topics).

Output Files

By default, all files will be stored in a folder named Macarron_output inside the current working directory. The main prioritization results are stored in prioritized_metabolites_all.csv. Another file, prioritized_metabolites_characterizable.csv is a subset of prioritized_metabolites_all.csv and only contains metabolic features which covary with at least one annotated metabolite. The columns in these output files are:

  • Feature_index: Lists the identifier of the metabolic feature found in column 1 of abundance and annotation files.
  • HMDB_ID (or PubChem ID): Public database identifier from column 2 of annotation file (column 1 of annotation dataframe).
  • Metabolite name: From column 2 of annotation dataframe.
  • mz: The continuous numerical chemical property from column 3 of the annotation dataframe.
  • Priority_score: 1 indicates most prioritized. It is the percentile from the meta-rank of AVA, q-value and effect size.
  • Status: Direction of perturbation (differential abundance) in the phenotype (or environment) of interest compared to reference phenotype.
  • Module: ID of the covariance module a metabolic feature is a member of. Module = 0 indicates a singleton i.e., a metabolic feature that is not assigned to any module.
  • Anchor (of a module): Metabolic feature that has the highest abundance in any phenotype.
  • Related_classes: Chemical taxonomy of the annotated features that covary with a metabolic feature.
  • Covaries_with_standard: 1 (yes) and 0 (no). Column specifies if the metabolic feature covaries with at least one annotated (standard) metabolite.
  • AVA: Abundance versus anchor which is a ratio of the highest abundance (in any phenotype) of a metabolic feature and highest abundance of the covarying anchor. Naturally, the AVA of an anchor metabolite is 1.
  • qvalue: Estimated from multivariate linear model using Maaslin2.
  • effect_size
  • Remaining columns from the annotation dataframe are appended.

Run a demo in R

Using CSV files as inputs

Example (demo) input files can be found under inst/extdata folder of the Macarron source. These files were generated from the PRISM study of stool metabolomes of individuals with inflammatory bowel disease (IBD) and healthy “Control” individuals. Control and IBD are the two phenotypes in this example. Macarron will be applied to prioritize metabolic features with respect to their bioactivity in IBD. Therefore, in this example, the phenotype of interest is “IBD” and the reference phenotype is “Control”. The four input files are demo_abundances.csv, demo_annotations.csv, demo_metadata.csv, and demo_taxonomy.csv.

library(Macarron)
## Loading required package: SummarizedExperiment
## Loading required package: MatrixGenerics
## Loading required package: matrixStats
## 
## Attaching package: 'MatrixGenerics'
## The following objects are masked from 'package:matrixStats':
## 
##     colAlls, colAnyNAs, colAnys, colAvgsPerRowSet, colCollapse,
##     colCounts, colCummaxs, colCummins, colCumprods, colCumsums,
##     colDiffs, colIQRDiffs, colIQRs, colLogSumExps, colMadDiffs,
##     colMads, colMaxs, colMeans2, colMedians, colMins, colOrderStats,
##     colProds, colQuantiles, colRanges, colRanks, colSdDiffs, colSds,
##     colSums2, colTabulates, colVarDiffs, colVars, colWeightedMads,
##     colWeightedMeans, colWeightedMedians, colWeightedSds,
##     colWeightedVars, rowAlls, rowAnyNAs, rowAnys, rowAvgsPerColSet,
##     rowCollapse, rowCounts, rowCummaxs, rowCummins, rowCumprods,
##     rowCumsums, rowDiffs, rowIQRDiffs, rowIQRs, rowLogSumExps,
##     rowMadDiffs, rowMads, rowMaxs, rowMeans2, rowMedians, rowMins,
##     rowOrderStats, rowProds, rowQuantiles, rowRanges, rowRanks,
##     rowSdDiffs, rowSds, rowSums2, rowTabulates, rowVarDiffs, rowVars,
##     rowWeightedMads, rowWeightedMeans, rowWeightedMedians,
##     rowWeightedSds, rowWeightedVars
## Loading required package: GenomicRanges
## Loading required package: stats4
## Loading required package: BiocGenerics
## 
## Attaching package: 'BiocGenerics'
## The following objects are masked from 'package:stats':
## 
##     IQR, mad, sd, var, xtabs
## The following objects are masked from 'package:base':
## 
##     Filter, Find, Map, Position, Reduce, anyDuplicated, aperm, append,
##     as.data.frame, basename, cbind, colnames, dirname, do.call,
##     duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
##     lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
##     pmin.int, rank, rbind, rownames, sapply, setdiff, table, tapply,
##     union, unique, unsplit, which.max, which.min
## Loading required package: S4Vectors
## 
## Attaching package: 'S4Vectors'
## The following object is masked from 'package:utils':
## 
##     findMatches
## The following objects are masked from 'package:base':
## 
##     I, expand.grid, unname
## Loading required package: IRanges
## Loading required package: GenomeInfoDb
## Loading required package: Biobase
## Welcome to Bioconductor
## 
##     Vignettes contain introductory material; view with
##     'browseVignettes()'. To cite Bioconductor, see
##     'citation("Biobase")', and for packages 'citation("pkgname")'.
## 
## Attaching package: 'Biobase'
## The following object is masked from 'package:MatrixGenerics':
## 
##     rowMedians
## The following objects are masked from 'package:matrixStats':
## 
##     anyMissing, rowMedians
prism_abundances <- system.file(
    'extdata','demo_abundances.csv', package="Macarron")
prism_annotations <-system.file(
    'extdata','demo_annotations.csv', package="Macarron")
prism_metadata <-system.file(
    'extdata','demo_metadata.csv', package="Macarron")
mets_taxonomy <-system.file(
    'extdata','demo_taxonomy.csv', package="Macarron")
prism_prioritized <- Macarron::Macarron(input_abundances = prism_abundances,
                                        input_annotations = prism_annotations,
                                        input_metadata = prism_metadata,
                                        input_taxonomy = mets_taxonomy)
## 2024-09-24 04:02:05.278733 INFO::Creating output folder.
## 2024-09-24 04:02:05.285959 INFO::Writing function arguments to log file
## Samples with both abundances and metadata: 102
## 2024-09-24 04:02:05.321238 INFO::Summarized Experiment created.
## 2024-09-24 04:02:05.322262 INFO::Metadata chosen for prevalence filtering: diagnosis
## 869 features pass chosen minimum prevalence threshold of 0.7.
## Calculating pairwise correlations in phenotype: IBD
## 
## Calculating pairwise correlations in phenotype: Control
## Distance matrix with 869 features created.
## 2024-09-24 04:02:08.353008 INFO::Distance matrix with 869 metabolic features created.
## Initiating module detection
## 2024-09-24 04:02:08.353963 INFO::Minimum module size used for this dataset: 10
## Tree constructed
## Evaluating measures of success
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
## 2024-09-24 04:02:09.784693 INFO::Total number of modules detected: 30
## Initiating AVA calculations
## Finding anchors
## Calculating AVA
## Initiating q-value calculations
## [1] "Creating output folder"
## [1] "Creating output feature tables folder"
## [1] "Creating output fits folder"
## [1] "Creating output figures folder"
## 2024-09-24 04:02:11.193165 INFO::Writing function arguments to log file
## 2024-09-24 04:02:11.197061 INFO::Verifying options selected are valid
## 2024-09-24 04:02:11.222142 INFO::Determining format of input files
## 2024-09-24 04:02:11.222902 INFO::Input format is data samples as columns and metadata samples as rows
## 2024-09-24 04:02:11.233694 INFO::Formula for fixed effects: expr ~  diagnosis + age + antibiotics
## 2024-09-24 04:02:11.234741 INFO::Filter data based on min abundance and min prevalence
## 2024-09-24 04:02:11.235196 INFO::Total samples in data: 102
## 2024-09-24 04:02:11.235638 INFO::Min samples required with min abundance for a feature not to be filtered: 0.000000
## 2024-09-24 04:02:11.244051 INFO::Total filtered features: 0
## 2024-09-24 04:02:11.24468 INFO::Filtered feature names from abundance and prevalence filtering:
## 2024-09-24 04:02:11.257276 INFO::Total filtered features with variance filtering: 0
## 2024-09-24 04:02:11.257979 INFO::Filtered feature names from variance filtering:
## 2024-09-24 04:02:11.25842 INFO::Running selected normalization method: NONE
## 2024-09-24 04:02:11.258891 INFO::Applying z-score to standardize continuous metadata
## 2024-09-24 04:02:11.272564 INFO::Running selected transform method: NONE
## 2024-09-24 04:02:11.273153 INFO::Running selected analysis method: LM
## 2024-09-24 04:02:11.276661 INFO::Fitting model to feature number 1, F1
## 2024-09-24 04:02:11.282716 INFO::Fitting model to feature number 2, F2
## 2024-09-24 04:02:11.285057 INFO::Fitting model to feature number 3, F3
## 2024-09-24 04:02:11.287332 INFO::Fitting model to feature number 4, F4
## 2024-09-24 04:02:11.289633 INFO::Fitting model to feature number 5, F5
## 2024-09-24 04:02:11.29188 INFO::Fitting model to feature number 6, F6
## 2024-09-24 04:02:11.294083 INFO::Fitting model to feature number 7, F7
## 2024-09-24 04:02:11.296296 INFO::Fitting model to feature number 8, F8
## 2024-09-24 04:02:11.298529 INFO::Fitting model to feature number 9, F9
## 2024-09-24 04:02:11.300752 INFO::Fitting model to feature number 10, F10
## 2024-09-24 04:02:11.302961 INFO::Fitting model to feature number 11, F11
## 2024-09-24 04:02:11.305172 INFO::Fitting model to feature number 12, F12
## 2024-09-24 04:02:11.307415 INFO::Fitting model to feature number 13, F13
## 2024-09-24 04:02:11.30968 INFO::Fitting model to feature number 14, F14
## 2024-09-24 04:02:11.311905 INFO::Fitting model to feature number 15, F15
## 2024-09-24 04:02:11.314181 INFO::Fitting model to feature number 16, F16
## 2024-09-24 04:02:11.31651 INFO::Fitting model to feature number 17, F17
## 2024-09-24 04:02:11.318784 INFO::Fitting model to feature number 18, F18
## 2024-09-24 04:02:11.321079 INFO::Fitting model to feature number 19, F19
## 2024-09-24 04:02:11.323329 INFO::Fitting model to feature number 20, F20
## 2024-09-24 04:02:11.325574 INFO::Fitting model to feature number 21, F21
## 2024-09-24 04:02:11.327791 INFO::Fitting model to feature number 22, F22
## 2024-09-24 04:02:11.330022 INFO::Fitting model to feature number 23, F23
## 2024-09-24 04:02:11.332282 INFO::Fitting model to feature number 24, F24
## 2024-09-24 04:02:11.334538 INFO::Fitting model to feature number 25, F25
## 2024-09-24 04:02:11.336779 INFO::Fitting model to feature number 26, F26
## 2024-09-24 04:02:11.33908 INFO::Fitting model to feature number 27, F27
## 2024-09-24 04:02:11.341345 INFO::Fitting model to feature number 28, F28
## 2024-09-24 04:02:11.343613 INFO::Fitting model to feature number 29, F29
## 2024-09-24 04:02:11.345856 INFO::Fitting model to feature number 30, F30
## 2024-09-24 04:02:11.348074 INFO::Fitting model to feature number 31, F31
## 2024-09-24 04:02:11.350302 INFO::Fitting model to feature number 32, F32
## 2024-09-24 04:02:11.352537 INFO::Fitting model to feature number 33, F33
## 2024-09-24 04:02:11.354799 INFO::Fitting model to feature number 34, F34
## 2024-09-24 04:02:11.357008 INFO::Fitting model to feature number 35, F35
## 2024-09-24 04:02:11.359226 INFO::Fitting model to feature number 36, F36
## 2024-09-24 04:02:11.361516 INFO::Fitting model to feature number 37, F37
## 2024-09-24 04:02:11.363759 INFO::Fitting model to feature number 38, F38
## 2024-09-24 04:02:11.366012 INFO::Fitting model to feature number 39, F39
## 2024-09-24 04:02:11.368244 INFO::Fitting model to feature number 40, F40
## 2024-09-24 04:02:11.370505 INFO::Fitting model to feature number 41, F41
## 2024-09-24 04:02:11.372759 INFO::Fitting model to feature number 42, F43
## 2024-09-24 04:02:11.375017 INFO::Fitting model to feature number 43, F44
## 2024-09-24 04:02:11.377271 INFO::Fitting model to feature number 44, F45
## 2024-09-24 04:02:11.37957 INFO::Fitting model to feature number 45, F46
## 2024-09-24 04:02:11.381822 INFO::Fitting model to feature number 46, F47
## 2024-09-24 04:02:11.384157 INFO::Fitting model to feature number 47, F48
## 2024-09-24 04:02:11.38649 INFO::Fitting model to feature number 48, F49
## 2024-09-24 04:02:11.388719 INFO::Fitting model to feature number 49, F50
## 2024-09-24 04:02:11.390943 INFO::Fitting model to feature number 50, F51
## 2024-09-24 04:02:11.393152 INFO::Fitting model to feature number 51, F52
## 2024-09-24 04:02:11.395399 INFO::Fitting model to feature number 52, F53
## 2024-09-24 04:02:11.39765 INFO::Fitting model to feature number 53, F54
## 2024-09-24 04:02:11.399913 INFO::Fitting model to feature number 54, F55
## 2024-09-24 04:02:11.40214 INFO::Fitting model to feature number 55, F56
## 2024-09-24 04:02:11.40444 INFO::Fitting model to feature number 56, F57
## 2024-09-24 04:02:11.406775 INFO::Fitting model to feature number 57, F58
## 2024-09-24 04:02:11.409053 INFO::Fitting model to feature number 58, F59
## 2024-09-24 04:02:11.411347 INFO::Fitting model to feature number 59, F60
## 2024-09-24 04:02:11.413648 INFO::Fitting model to feature number 60, F63
## 2024-09-24 04:02:11.415916 INFO::Fitting model to feature number 61, F64
## 2024-09-24 04:02:11.418175 INFO::Fitting model to feature number 62, F65
## 2024-09-24 04:02:11.420462 INFO::Fitting model to feature number 63, F66
## 2024-09-24 04:02:11.422824 INFO::Fitting model to feature number 64, F67
## 2024-09-24 04:02:11.425236 INFO::Fitting model to feature number 65, F68
## 2024-09-24 04:02:11.427609 INFO::Fitting model to feature number 66, F69
## 2024-09-24 04:02:11.429973 INFO::Fitting model to feature number 67, F70
## 2024-09-24 04:02:11.432399 INFO::Fitting model to feature number 68, F71
## 2024-09-24 04:02:11.434806 INFO::Fitting model to feature number 69, F72
## 2024-09-24 04:02:11.437277 INFO::Fitting model to feature number 70, F73
## 2024-09-24 04:02:11.439744 INFO::Fitting model to feature number 71, F74
## 2024-09-24 04:02:11.442187 INFO::Fitting model to feature number 72, F76
## 2024-09-24 04:02:11.444841 INFO::Fitting model to feature number 73, F77
## 2024-09-24 04:02:11.447255 INFO::Fitting model to feature number 74, F78
## 2024-09-24 04:02:11.449691 INFO::Fitting model to feature number 75, F79
## 2024-09-24 04:02:11.452104 INFO::Fitting model to feature number 76, F80
## 2024-09-24 04:02:11.454561 INFO::Fitting model to feature number 77, F81
## 2024-09-24 04:02:11.45695 INFO::Fitting model to feature number 78, F82
## 2024-09-24 04:02:11.45934 INFO::Fitting model to feature number 79, F83
## 2024-09-24 04:02:11.461804 INFO::Fitting model to feature number 80, F84
## 2024-09-24 04:02:11.46419 INFO::Fitting model to feature number 81, F85
## 2024-09-24 04:02:11.466646 INFO::Fitting model to feature number 82, F86
## 2024-09-24 04:02:11.469054 INFO::Fitting model to feature number 83, F87
## 2024-09-24 04:02:11.47159 INFO::Fitting model to feature number 84, F88
## 2024-09-24 04:02:11.474009 INFO::Fitting model to feature number 85, F89
## 2024-09-24 04:02:11.476455 INFO::Fitting model to feature number 86, F90
## 2024-09-24 04:02:11.478855 INFO::Fitting model to feature number 87, F91
## 2024-09-24 04:02:11.481261 INFO::Fitting model to feature number 88, F92
## 2024-09-24 04:02:11.483649 INFO::Fitting model to feature number 89, F93
## 2024-09-24 04:02:11.48604 INFO::Fitting model to feature number 90, F94
## 2024-09-24 04:02:11.488438 INFO::Fitting model to feature number 91, F95
## 2024-09-24 04:02:11.490812 INFO::Fitting model to feature number 92, F96
## 2024-09-24 04:02:11.493236 INFO::Fitting model to feature number 93, F97
## 2024-09-24 04:02:11.495663 INFO::Fitting model to feature number 94, F98
## 2024-09-24 04:02:11.498042 INFO::Fitting model to feature number 95, F99
## 2024-09-24 04:02:11.500433 INFO::Fitting model to feature number 96, F100
## 2024-09-24 04:02:11.502797 INFO::Fitting model to feature number 97, F101
## 2024-09-24 04:02:11.505252 INFO::Fitting model to feature number 98, F102
## 2024-09-24 04:02:11.507673 INFO::Fitting model to feature number 99, F103
## 2024-09-24 04:02:11.51004 INFO::Fitting model to feature number 100, F104
## 2024-09-24 04:02:11.512395 INFO::Fitting model to feature number 101, F105
## 2024-09-24 04:02:11.514757 INFO::Fitting model to feature number 102, F106
## 2024-09-24 04:02:11.517094 INFO::Fitting model to feature number 103, F107
## 2024-09-24 04:02:11.519498 INFO::Fitting model to feature number 104, F108
## 2024-09-24 04:02:11.521873 INFO::Fitting model to feature number 105, F109
## 2024-09-24 04:02:11.524223 INFO::Fitting model to feature number 106, F110
## 2024-09-24 04:02:11.526619 INFO::Fitting model to feature number 107, F111
## 2024-09-24 04:02:11.529011 INFO::Fitting model to feature number 108, F112
## 2024-09-24 04:02:11.53141 INFO::Fitting model to feature number 109, F113
## 2024-09-24 04:02:11.533752 INFO::Fitting model to feature number 110, F114
## 2024-09-24 04:02:11.536108 INFO::Fitting model to feature number 111, F115
## 2024-09-24 04:02:11.538473 INFO::Fitting model to feature number 112, F117
## 2024-09-24 04:02:11.540843 INFO::Fitting model to feature number 113, F118
## 2024-09-24 04:02:11.543198 INFO::Fitting model to feature number 114, F119
## 2024-09-24 04:02:11.545557 INFO::Fitting model to feature number 115, F120
## 2024-09-24 04:02:11.547912 INFO::Fitting model to feature number 116, F121
## 2024-09-24 04:02:11.550275 INFO::Fitting model to feature number 117, F122
## 2024-09-24 04:02:11.552659 INFO::Fitting model to feature number 118, F123
## 2024-09-24 04:02:11.555049 INFO::Fitting model to feature number 119, F124
## 2024-09-24 04:02:11.55742 INFO::Fitting model to feature number 120, F125
## 2024-09-24 04:02:11.559856 INFO::Fitting model to feature number 121, F126
## 2024-09-24 04:02:11.562234 INFO::Fitting model to feature number 122, F127
## 2024-09-24 04:02:11.56463 INFO::Fitting model to feature number 123, F128
## 2024-09-24 04:02:11.566992 INFO::Fitting model to feature number 124, F129
## 2024-09-24 04:02:11.569374 INFO::Fitting model to feature number 125, F130
## 2024-09-24 04:02:11.57176 INFO::Fitting model to feature number 126, F131
## 2024-09-24 04:02:11.574123 INFO::Fitting model to feature number 127, F132
## 2024-09-24 04:02:11.576512 INFO::Fitting model to feature number 128, F133
## 2024-09-24 04:02:11.578869 INFO::Fitting model to feature number 129, F134
## 2024-09-24 04:02:11.581248 INFO::Fitting model to feature number 130, F135
## 2024-09-24 04:02:11.583642 INFO::Fitting model to feature number 131, F136
## 2024-09-24 04:02:11.586003 INFO::Fitting model to feature number 132, F137
## 2024-09-24 04:02:11.588409 INFO::Fitting model to feature number 133, F138
## 2024-09-24 04:02:11.590766 INFO::Fitting model to feature number 134, F139
## 2024-09-24 04:02:11.593199 INFO::Fitting model to feature number 135, F140
## 2024-09-24 04:02:11.595618 INFO::Fitting model to feature number 136, F141
## 2024-09-24 04:02:11.597999 INFO::Fitting model to feature number 137, F142
## 2024-09-24 04:02:11.600441 INFO::Fitting model to feature number 138, F143
## 2024-09-24 04:02:11.602844 INFO::Fitting model to feature number 139, F144
## 2024-09-24 04:02:11.605215 INFO::Fitting model to feature number 140, F145
## 2024-09-24 04:02:11.60762 INFO::Fitting model to feature number 141, F146
## 2024-09-24 04:02:11.610019 INFO::Fitting model to feature number 142, F147
## 2024-09-24 04:02:11.612418 INFO::Fitting model to feature number 143, F148
## 2024-09-24 04:02:11.614789 INFO::Fitting model to feature number 144, F149
## 2024-09-24 04:02:11.617212 INFO::Fitting model to feature number 145, F150
## 2024-09-24 04:02:11.619615 INFO::Fitting model to feature number 146, F152
## 2024-09-24 04:02:11.621994 INFO::Fitting model to feature number 147, F153
## 2024-09-24 04:02:11.624448 INFO::Fitting model to feature number 148, F154
## 2024-09-24 04:02:11.626829 INFO::Fitting model to feature number 149, F155
## 2024-09-24 04:02:11.629226 INFO::Fitting model to feature number 150, F156
## 2024-09-24 04:02:11.631625 INFO::Fitting model to feature number 151, F157
## 2024-09-24 04:02:11.633996 INFO::Fitting model to feature number 152, F158
## 2024-09-24 04:02:11.636422 INFO::Fitting model to feature number 153, F159
## 2024-09-24 04:02:11.638813 INFO::Fitting model to feature number 154, F160
## 2024-09-24 04:02:11.641203 INFO::Fitting model to feature number 155, F161
## 2024-09-24 04:02:11.64359 INFO::Fitting model to feature number 156, F162
## 2024-09-24 04:02:11.645971 INFO::Fitting model to feature number 157, F163
## 2024-09-24 04:02:11.64833 INFO::Fitting model to feature number 158, F164
## 2024-09-24 04:02:11.650727 INFO::Fitting model to feature number 159, F165
## 2024-09-24 04:02:11.653197 INFO::Fitting model to feature number 160, F166
## 2024-09-24 04:02:11.655631 INFO::Fitting model to feature number 161, F167
## 2024-09-24 04:02:11.658029 INFO::Fitting model to feature number 162, F168
## 2024-09-24 04:02:11.660431 INFO::Fitting model to feature number 163, F169
## 2024-09-24 04:02:11.662833 INFO::Fitting model to feature number 164, F170
## 2024-09-24 04:02:11.665212 INFO::Fitting model to feature number 165, F171
## 2024-09-24 04:02:11.667628 INFO::Fitting model to feature number 166, F172
## 2024-09-24 04:02:11.67003 INFO::Fitting model to feature number 167, F173
## 2024-09-24 04:02:11.672439 INFO::Fitting model to feature number 168, F174
## 2024-09-24 04:02:11.674816 INFO::Fitting model to feature number 169, F175
## 2024-09-24 04:02:11.677189 INFO::Fitting model to feature number 170, F176
## 2024-09-24 04:02:11.679591 INFO::Fitting model to feature number 171, F177
## 2024-09-24 04:02:11.681963 INFO::Fitting model to feature number 172, F178
## 2024-09-24 04:02:11.684304 INFO::Fitting model to feature number 173, F179
## 2024-09-24 04:02:11.686746 INFO::Fitting model to feature number 174, F180
## 2024-09-24 04:02:11.689101 INFO::Fitting model to feature number 175, F181
## 2024-09-24 04:02:11.691484 INFO::Fitting model to feature number 176, F182
## 2024-09-24 04:02:11.693872 INFO::Fitting model to feature number 177, F183
## 2024-09-24 04:02:11.696257 INFO::Fitting model to feature number 178, F184
## 2024-09-24 04:02:11.698694 INFO::Fitting model to feature number 179, F185
## 2024-09-24 04:02:11.701094 INFO::Fitting model to feature number 180, F186
## 2024-09-24 04:02:11.703476 INFO::Fitting model to feature number 181, F187
## 2024-09-24 04:02:11.705957 INFO::Fitting model to feature number 182, F188
## 2024-09-24 04:02:11.70834 INFO::Fitting model to feature number 183, F189
## 2024-09-24 04:02:11.710732 INFO::Fitting model to feature number 184, F190
## 2024-09-24 04:02:11.713225 INFO::Fitting model to feature number 185, F191
## 2024-09-24 04:02:11.715653 INFO::Fitting model to feature number 186, F192
## 2024-09-24 04:02:11.718048 INFO::Fitting model to feature number 187, F193
## 2024-09-24 04:02:11.720565 INFO::Fitting model to feature number 188, F194
## 2024-09-24 04:02:11.722962 INFO::Fitting model to feature number 189, F195
## 2024-09-24 04:02:11.725414 INFO::Fitting model to feature number 190, F196
## 2024-09-24 04:02:11.738404 INFO::Fitting model to feature number 191, F197
## 2024-09-24 04:02:11.741178 INFO::Fitting model to feature number 192, F198
## 2024-09-24 04:02:11.743826 INFO::Fitting model to feature number 193, F199
## 2024-09-24 04:02:11.746356 INFO::Fitting model to feature number 194, F200
## 2024-09-24 04:02:11.74886 INFO::Fitting model to feature number 195, F201
## 2024-09-24 04:02:11.751297 INFO::Fitting model to feature number 196, F202
## 2024-09-24 04:02:11.753724 INFO::Fitting model to feature number 197, F203
## 2024-09-24 04:02:11.77235 INFO::Fitting model to feature number 198, F204
## 2024-09-24 04:02:11.775033 INFO::Fitting model to feature number 199, F206
## 2024-09-24 04:02:11.777514 INFO::Fitting model to feature number 200, F207
## 2024-09-24 04:02:11.77993 INFO::Fitting model to feature number 201, F208
## 2024-09-24 04:02:11.782306 INFO::Fitting model to feature number 202, F209
## 2024-09-24 04:02:11.784673 INFO::Fitting model to feature number 203, F210
## 2024-09-24 04:02:11.787 INFO::Fitting model to feature number 204, F211
## 2024-09-24 04:02:11.789329 INFO::Fitting model to feature number 205, F212
## 2024-09-24 04:02:11.791644 INFO::Fitting model to feature number 206, F213
## 2024-09-24 04:02:11.793921 INFO::Fitting model to feature number 207, F214
## 2024-09-24 04:02:11.796188 INFO::Fitting model to feature number 208, F215
## 2024-09-24 04:02:11.798459 INFO::Fitting model to feature number 209, F216
## 2024-09-24 04:02:11.800747 INFO::Fitting model to feature number 210, F217
## 2024-09-24 04:02:11.802981 INFO::Fitting model to feature number 211, F218
## 2024-09-24 04:02:11.805212 INFO::Fitting model to feature number 212, F219
## 2024-09-24 04:02:11.807471 INFO::Fitting model to feature number 213, F220
## 2024-09-24 04:02:11.809732 INFO::Fitting model to feature number 214, F221
## 2024-09-24 04:02:11.811963 INFO::Fitting model to feature number 215, F222
## 2024-09-24 04:02:11.814177 INFO::Fitting model to feature number 216, F223
## 2024-09-24 04:02:11.816403 INFO::Fitting model to feature number 217, F224
## 2024-09-24 04:02:11.818636 INFO::Fitting model to feature number 218, F225
## 2024-09-24 04:02:11.820857 INFO::Fitting model to feature number 219, F226
## 2024-09-24 04:02:11.823132 INFO::Fitting model to feature number 220, F227
## 2024-09-24 04:02:11.825431 INFO::Fitting model to feature number 221, F228
## 2024-09-24 04:02:11.827728 INFO::Fitting model to feature number 222, F229
## 2024-09-24 04:02:11.829993 INFO::Fitting model to feature number 223, F230
## 2024-09-24 04:02:11.832239 INFO::Fitting model to feature number 224, F231
## 2024-09-24 04:02:11.834491 INFO::Fitting model to feature number 225, F232
## 2024-09-24 04:02:11.83675 INFO::Fitting model to feature number 226, F233
## 2024-09-24 04:02:11.838999 INFO::Fitting model to feature number 227, F234
## 2024-09-24 04:02:11.84122 INFO::Fitting model to feature number 228, F235
## 2024-09-24 04:02:11.843493 INFO::Fitting model to feature number 229, F236
## 2024-09-24 04:02:11.845771 INFO::Fitting model to feature number 230, F237
## 2024-09-24 04:02:11.848055 INFO::Fitting model to feature number 231, F238
## 2024-09-24 04:02:11.850315 INFO::Fitting model to feature number 232, F239
## 2024-09-24 04:02:11.852589 INFO::Fitting model to feature number 233, F240
## 2024-09-24 04:02:11.854851 INFO::Fitting model to feature number 234, F241
## 2024-09-24 04:02:11.857105 INFO::Fitting model to feature number 235, F242
## 2024-09-24 04:02:11.859445 INFO::Fitting model to feature number 236, F243
## 2024-09-24 04:02:11.861862 INFO::Fitting model to feature number 237, F244
## 2024-09-24 04:02:11.864147 INFO::Fitting model to feature number 238, F245
## 2024-09-24 04:02:11.866443 INFO::Fitting model to feature number 239, F246
## 2024-09-24 04:02:11.868714 INFO::Fitting model to feature number 240, F247
## 2024-09-24 04:02:11.871004 INFO::Fitting model to feature number 241, F248
## 2024-09-24 04:02:11.873285 INFO::Fitting model to feature number 242, F249
## 2024-09-24 04:02:11.875621 INFO::Fitting model to feature number 243, F250
## 2024-09-24 04:02:11.877939 INFO::Fitting model to feature number 244, F252
## 2024-09-24 04:02:11.880241 INFO::Fitting model to feature number 245, F253
## 2024-09-24 04:02:11.882504 INFO::Fitting model to feature number 246, F254
## 2024-09-24 04:02:11.884837 INFO::Fitting model to feature number 247, F255
## 2024-09-24 04:02:11.887119 INFO::Fitting model to feature number 248, F256
## 2024-09-24 04:02:11.889412 INFO::Fitting model to feature number 249, F257
## 2024-09-24 04:02:11.891672 INFO::Fitting model to feature number 250, F259
## 2024-09-24 04:02:11.893932 INFO::Fitting model to feature number 251, F260
## 2024-09-24 04:02:11.896182 INFO::Fitting model to feature number 252, F261
## 2024-09-24 04:02:11.898457 INFO::Fitting model to feature number 253, F262
## 2024-09-24 04:02:11.900763 INFO::Fitting model to feature number 254, F263
## 2024-09-24 04:02:11.903043 INFO::Fitting model to feature number 255, F264
## 2024-09-24 04:02:11.9053 INFO::Fitting model to feature number 256, F265
## 2024-09-24 04:02:11.907588 INFO::Fitting model to feature number 257, F266
## 2024-09-24 04:02:11.909831 INFO::Fitting model to feature number 258, F267
## 2024-09-24 04:02:11.912058 INFO::Fitting model to feature number 259, F269
## 2024-09-24 04:02:11.91428 INFO::Fitting model to feature number 260, F270
## 2024-09-24 04:02:11.916542 INFO::Fitting model to feature number 261, F271
## 2024-09-24 04:02:11.918779 INFO::Fitting model to feature number 262, F272
## 2024-09-24 04:02:11.920996 INFO::Fitting model to feature number 263, F273
## 2024-09-24 04:02:11.923226 INFO::Fitting model to feature number 264, F274
## 2024-09-24 04:02:11.925525 INFO::Fitting model to feature number 265, F276
## 2024-09-24 04:02:11.92776 INFO::Fitting model to feature number 266, F277
## 2024-09-24 04:02:11.930033 INFO::Fitting model to feature number 267, F278
## 2024-09-24 04:02:11.932309 INFO::Fitting model to feature number 268, F279
## 2024-09-24 04:02:11.934619 INFO::Fitting model to feature number 269, F280
## 2024-09-24 04:02:11.936913 INFO::Fitting model to feature number 270, F281
## 2024-09-24 04:02:11.939173 INFO::Fitting model to feature number 271, F282
## 2024-09-24 04:02:11.941484 INFO::Fitting model to feature number 272, F283
## 2024-09-24 04:02:11.943802 INFO::Fitting model to feature number 273, F284
## 2024-09-24 04:02:11.946119 INFO::Fitting model to feature number 274, F285
## 2024-09-24 04:02:11.948453 INFO::Fitting model to feature number 275, F286
## 2024-09-24 04:02:11.950831 INFO::Fitting model to feature number 276, F287
## 2024-09-24 04:02:11.953183 INFO::Fitting model to feature number 277, F288
## 2024-09-24 04:02:11.955484 INFO::Fitting model to feature number 278, F289
## 2024-09-24 04:02:11.957741 INFO::Fitting model to feature number 279, F290
## 2024-09-24 04:02:11.960003 INFO::Fitting model to feature number 280, F292
## 2024-09-24 04:02:11.962275 INFO::Fitting model to feature number 281, F293
## 2024-09-24 04:02:11.964549 INFO::Fitting model to feature number 282, F294
## 2024-09-24 04:02:11.966799 INFO::Fitting model to feature number 283, F295
## 2024-09-24 04:02:11.969091 INFO::Fitting model to feature number 284, F296
## 2024-09-24 04:02:11.97135 INFO::Fitting model to feature number 285, F297
## 2024-09-24 04:02:11.973619 INFO::Fitting model to feature number 286, F298
## 2024-09-24 04:02:11.975842 INFO::Fitting model to feature number 287, F299
## 2024-09-24 04:02:11.97807 INFO::Fitting model to feature number 288, F300
## 2024-09-24 04:02:11.980331 INFO::Fitting model to feature number 289, F301
## 2024-09-24 04:02:11.982605 INFO::Fitting model to feature number 290, F302
## 2024-09-24 04:02:11.984923 INFO::Fitting model to feature number 291, F303
## 2024-09-24 04:02:11.98726 INFO::Fitting model to feature number 292, F304
## 2024-09-24 04:02:11.989587 INFO::Fitting model to feature number 293, F305
## 2024-09-24 04:02:11.991886 INFO::Fitting model to feature number 294, F306
## 2024-09-24 04:02:11.994147 INFO::Fitting model to feature number 295, F307
## 2024-09-24 04:02:11.996404 INFO::Fitting model to feature number 296, F308
## 2024-09-24 04:02:11.998667 INFO::Fitting model to feature number 297, F309
## 2024-09-24 04:02:12.00091 INFO::Fitting model to feature number 298, F310
## 2024-09-24 04:02:12.003149 INFO::Fitting model to feature number 299, F311
## 2024-09-24 04:02:12.005437 INFO::Fitting model to feature number 300, F312
## 2024-09-24 04:02:12.007688 INFO::Fitting model to feature number 301, F313
## 2024-09-24 04:02:12.009965 INFO::Fitting model to feature number 302, F315
## 2024-09-24 04:02:12.012227 INFO::Fitting model to feature number 303, F316
## 2024-09-24 04:02:12.014517 INFO::Fitting model to feature number 304, F317
## 2024-09-24 04:02:12.01682 INFO::Fitting model to feature number 305, F318
## 2024-09-24 04:02:12.019104 INFO::Fitting model to feature number 306, F319
## 2024-09-24 04:02:12.021405 INFO::Fitting model to feature number 307, F320
## 2024-09-24 04:02:12.02374 INFO::Fitting model to feature number 308, F321
## 2024-09-24 04:02:12.026089 INFO::Fitting model to feature number 309, F322
## 2024-09-24 04:02:12.02834 INFO::Fitting model to feature number 310, F323
## 2024-09-24 04:02:12.030615 INFO::Fitting model to feature number 311, F324
## 2024-09-24 04:02:12.032882 INFO::Fitting model to feature number 312, F325
## 2024-09-24 04:02:12.035137 INFO::Fitting model to feature number 313, F326
## 2024-09-24 04:02:12.037434 INFO::Fitting model to feature number 314, F327
## 2024-09-24 04:02:12.039755 INFO::Fitting model to feature number 315, F328
## 2024-09-24 04:02:12.042083 INFO::Fitting model to feature number 316, F329
## 2024-09-24 04:02:12.04438 INFO::Fitting model to feature number 317, F330
## 2024-09-24 04:02:12.046719 INFO::Fitting model to feature number 318, F331
## 2024-09-24 04:02:12.04902 INFO::Fitting model to feature number 319, F332
## 2024-09-24 04:02:12.051652 INFO::Fitting model to feature number 320, F333
## 2024-09-24 04:02:12.054615 INFO::Fitting model to feature number 321, F334
## 2024-09-24 04:02:12.057767 INFO::Fitting model to feature number 322, F335
## 2024-09-24 04:02:12.060666 INFO::Fitting model to feature number 323, F336
## 2024-09-24 04:02:12.06344 INFO::Fitting model to feature number 324, F337
## 2024-09-24 04:02:12.066125 INFO::Fitting model to feature number 325, F338
## 2024-09-24 04:02:12.068754 INFO::Fitting model to feature number 326, F339
## 2024-09-24 04:02:12.071269 INFO::Fitting model to feature number 327, F340
## 2024-09-24 04:02:12.07377 INFO::Fitting model to feature number 328, F342
## 2024-09-24 04:02:12.076198 INFO::Fitting model to feature number 329, F343
## 2024-09-24 04:02:12.078595 INFO::Fitting model to feature number 330, F344
## 2024-09-24 04:02:12.080942 INFO::Fitting model to feature number 331, F345
## 2024-09-24 04:02:12.083246 INFO::Fitting model to feature number 332, F346
## 2024-09-24 04:02:12.085536 INFO::Fitting model to feature number 333, F347
## 2024-09-24 04:02:12.087823 INFO::Fitting model to feature number 334, F348
## 2024-09-24 04:02:12.090103 INFO::Fitting model to feature number 335, F350
## 2024-09-24 04:02:12.092346 INFO::Fitting model to feature number 336, F351
## 2024-09-24 04:02:12.094604 INFO::Fitting model to feature number 337, F352
## 2024-09-24 04:02:12.096838 INFO::Fitting model to feature number 338, F353
## 2024-09-24 04:02:12.099078 INFO::Fitting model to feature number 339, F355
## 2024-09-24 04:02:12.101328 INFO::Fitting model to feature number 340, F356
## 2024-09-24 04:02:12.103595 INFO::Fitting model to feature number 341, F357
## 2024-09-24 04:02:12.105838 INFO::Fitting model to feature number 342, F358
## 2024-09-24 04:02:12.108086 INFO::Fitting model to feature number 343, F359
## 2024-09-24 04:02:12.110333 INFO::Fitting model to feature number 344, F360
## 2024-09-24 04:02:12.112601 INFO::Fitting model to feature number 345, F361
## 2024-09-24 04:02:12.114829 INFO::Fitting model to feature number 346, F362
## 2024-09-24 04:02:12.117055 INFO::Fitting model to feature number 347, F363
## 2024-09-24 04:02:12.119284 INFO::Fitting model to feature number 348, F364
## 2024-09-24 04:02:12.121569 INFO::Fitting model to feature number 349, F365
## 2024-09-24 04:02:12.123798 INFO::Fitting model to feature number 350, F366
## 2024-09-24 04:02:12.126056 INFO::Fitting model to feature number 351, F367
## 2024-09-24 04:02:12.128322 INFO::Fitting model to feature number 352, F368
## 2024-09-24 04:02:12.130616 INFO::Fitting model to feature number 353, F369
## 2024-09-24 04:02:12.132877 INFO::Fitting model to feature number 354, F370
## 2024-09-24 04:02:12.135121 INFO::Fitting model to feature number 355, F371
## 2024-09-24 04:02:12.137387 INFO::Fitting model to feature number 356, F372
## 2024-09-24 04:02:12.139649 INFO::Fitting model to feature number 357, F373
## 2024-09-24 04:02:12.141876 INFO::Fitting model to feature number 358, F374
## 2024-09-24 04:02:12.144099 INFO::Fitting model to feature number 359, F375
## 2024-09-24 04:02:12.146338 INFO::Fitting model to feature number 360, F376
## 2024-09-24 04:02:12.148598 INFO::Fitting model to feature number 361, F377
## 2024-09-24 04:02:12.150851 INFO::Fitting model to feature number 362, F378
## 2024-09-24 04:02:12.153117 INFO::Fitting model to feature number 363, F379
## 2024-09-24 04:02:12.1555 INFO::Fitting model to feature number 364, F380
## 2024-09-24 04:02:12.157748 INFO::Fitting model to feature number 365, F381
## 2024-09-24 04:02:12.160018 INFO::Fitting model to feature number 366, F382
## 2024-09-24 04:02:12.162255 INFO::Fitting model to feature number 367, F383
## 2024-09-24 04:02:12.164527 INFO::Fitting model to feature number 368, F384
## 2024-09-24 04:02:12.166773 INFO::Fitting model to feature number 369, F386
## 2024-09-24 04:02:12.169035 INFO::Fitting model to feature number 370, F387
## 2024-09-24 04:02:12.171293 INFO::Fitting model to feature number 371, F388
## 2024-09-24 04:02:12.173556 INFO::Fitting model to feature number 372, F389
## 2024-09-24 04:02:12.175799 INFO::Fitting model to feature number 373, F390
## 2024-09-24 04:02:12.178042 INFO::Fitting model to feature number 374, F391
## 2024-09-24 04:02:12.180321 INFO::Fitting model to feature number 375, F392
## 2024-09-24 04:02:12.18258 INFO::Fitting model to feature number 376, F393
## 2024-09-24 04:02:12.184814 INFO::Fitting model to feature number 377, F394
## 2024-09-24 04:02:12.187078 INFO::Fitting model to feature number 378, F395
## 2024-09-24 04:02:12.189336 INFO::Fitting model to feature number 379, F396
## 2024-09-24 04:02:12.191595 INFO::Fitting model to feature number 380, F397
## 2024-09-24 04:02:12.193846 INFO::Fitting model to feature number 381, F398
## 2024-09-24 04:02:12.196106 INFO::Fitting model to feature number 382, F399
## 2024-09-24 04:02:12.198449 INFO::Fitting model to feature number 383, F400
## 2024-09-24 04:02:12.200688 INFO::Fitting model to feature number 384, F401
## 2024-09-24 04:02:12.202917 INFO::Fitting model to feature number 385, F402
## 2024-09-24 04:02:12.20514 INFO::Fitting model to feature number 386, F403
## 2024-09-24 04:02:12.207423 INFO::Fitting model to feature number 387, F404
## 2024-09-24 04:02:12.209679 INFO::Fitting model to feature number 388, F406
## 2024-09-24 04:02:12.211975 INFO::Fitting model to feature number 389, F407
## 2024-09-24 04:02:12.214292 INFO::Fitting model to feature number 390, F408
## 2024-09-24 04:02:12.216548 INFO::Fitting model to feature number 391, F409
## 2024-09-24 04:02:12.218784 INFO::Fitting model to feature number 392, F410
## 2024-09-24 04:02:12.221056 INFO::Fitting model to feature number 393, F411
## 2024-09-24 04:02:12.223317 INFO::Fitting model to feature number 394, F412
## 2024-09-24 04:02:12.22562 INFO::Fitting model to feature number 395, F413
## 2024-09-24 04:02:12.227862 INFO::Fitting model to feature number 396, F414
## 2024-09-24 04:02:12.230138 INFO::Fitting model to feature number 397, F415
## 2024-09-24 04:02:12.232392 INFO::Fitting model to feature number 398, F416
## 2024-09-24 04:02:12.23462 INFO::Fitting model to feature number 399, F417
## 2024-09-24 04:02:12.236853 INFO::Fitting model to feature number 400, F418
## 2024-09-24 04:02:12.239088 INFO::Fitting model to feature number 401, F419
## 2024-09-24 04:02:12.241329 INFO::Fitting model to feature number 402, F420
## 2024-09-24 04:02:12.243584 INFO::Fitting model to feature number 403, F421
## 2024-09-24 04:02:12.245829 INFO::Fitting model to feature number 404, F422
## 2024-09-24 04:02:12.248061 INFO::Fitting model to feature number 405, F423
## 2024-09-24 04:02:12.250288 INFO::Fitting model to feature number 406, F425
## 2024-09-24 04:02:12.252603 INFO::Fitting model to feature number 407, F426
## 2024-09-24 04:02:12.254825 INFO::Fitting model to feature number 408, F428
## 2024-09-24 04:02:12.257078 INFO::Fitting model to feature number 409, F429
## 2024-09-24 04:02:12.259318 INFO::Fitting model to feature number 410, F430
## 2024-09-24 04:02:12.261587 INFO::Fitting model to feature number 411, F431
## 2024-09-24 04:02:12.263825 INFO::Fitting model to feature number 412, F432
## 2024-09-24 04:02:12.266075 INFO::Fitting model to feature number 413, F433
## 2024-09-24 04:02:12.268322 INFO::Fitting model to feature number 414, F434
## 2024-09-24 04:02:12.270583 INFO::Fitting model to feature number 415, F435
## 2024-09-24 04:02:12.272806 INFO::Fitting model to feature number 416, F436
## 2024-09-24 04:02:12.275032 INFO::Fitting model to feature number 417, F437
## 2024-09-24 04:02:12.277278 INFO::Fitting model to feature number 418, F438
## 2024-09-24 04:02:12.279531 INFO::Fitting model to feature number 419, F439
## 2024-09-24 04:02:12.281756 INFO::Fitting model to feature number 420, F440
## 2024-09-24 04:02:12.283987 INFO::Fitting model to feature number 421, F441
## 2024-09-24 04:02:12.286245 INFO::Fitting model to feature number 422, F442
## 2024-09-24 04:02:12.288494 INFO::Fitting model to feature number 423, F443
## 2024-09-24 04:02:12.290781 INFO::Fitting model to feature number 424, F444
## 2024-09-24 04:02:12.293058 INFO::Fitting model to feature number 425, F445
## 2024-09-24 04:02:12.295298 INFO::Fitting model to feature number 426, F446
## 2024-09-24 04:02:12.297559 INFO::Fitting model to feature number 427, F447
## 2024-09-24 04:02:12.299811 INFO::Fitting model to feature number 428, F448
## 2024-09-24 04:02:12.302055 INFO::Fitting model to feature number 429, F449
## 2024-09-24 04:02:12.30429 INFO::Fitting model to feature number 430, F450
## 2024-09-24 04:02:12.306555 INFO::Fitting model to feature number 431, F451
## 2024-09-24 04:02:12.308809 INFO::Fitting model to feature number 432, F452
## 2024-09-24 04:02:12.311065 INFO::Fitting model to feature number 433, F454
## 2024-09-24 04:02:12.313298 INFO::Fitting model to feature number 434, F455
## 2024-09-24 04:02:12.315567 INFO::Fitting model to feature number 435, F456
## 2024-09-24 04:02:12.317791 INFO::Fitting model to feature number 436, F457
## 2024-09-24 04:02:12.320053 INFO::Fitting model to feature number 437, F458
## 2024-09-24 04:02:12.322312 INFO::Fitting model to feature number 438, F459
## 2024-09-24 04:02:12.324603 INFO::Fitting model to feature number 439, F461
## 2024-09-24 04:02:12.326861 INFO::Fitting model to feature number 440, F462
## 2024-09-24 04:02:12.329123 INFO::Fitting model to feature number 441, F463
## 2024-09-24 04:02:12.331468 INFO::Fitting model to feature number 442, F464
## 2024-09-24 04:02:12.333712 INFO::Fitting model to feature number 443, F465
## 2024-09-24 04:02:12.335945 INFO::Fitting model to feature number 444, F466
## 2024-09-24 04:02:12.338188 INFO::Fitting model to feature number 445, F467
## 2024-09-24 04:02:12.340511 INFO::Fitting model to feature number 446, F468
## 2024-09-24 04:02:12.342757 INFO::Fitting model to feature number 447, F469
## 2024-09-24 04:02:12.34499 INFO::Fitting model to feature number 448, F470
## 2024-09-24 04:02:12.347212 INFO::Fitting model to feature number 449, F471
## 2024-09-24 04:02:12.349469 INFO::Fitting model to feature number 450, F474
## 2024-09-24 04:02:12.35169 INFO::Fitting model to feature number 451, F475
## 2024-09-24 04:02:12.35393 INFO::Fitting model to feature number 452, F476
## 2024-09-24 04:02:12.356186 INFO::Fitting model to feature number 453, F477
## 2024-09-24 04:02:12.358442 INFO::Fitting model to feature number 454, F478
## 2024-09-24 04:02:12.360715 INFO::Fitting model to feature number 455, F479
## 2024-09-24 04:02:12.36295 INFO::Fitting model to feature number 456, F480
## 2024-09-24 04:02:12.365202 INFO::Fitting model to feature number 457, F481
## 2024-09-24 04:02:12.367452 INFO::Fitting model to feature number 458, F482
## 2024-09-24 04:02:12.369689 INFO::Fitting model to feature number 459, F483
## 2024-09-24 04:02:12.371912 INFO::Fitting model to feature number 460, F484
## 2024-09-24 04:02:12.374154 INFO::Fitting model to feature number 461, F485
## 2024-09-24 04:02:12.376395 INFO::Fitting model to feature number 462, F486
## 2024-09-24 04:02:12.378634 INFO::Fitting model to feature number 463, F487
## 2024-09-24 04:02:12.380884 INFO::Fitting model to feature number 464, F488
## 2024-09-24 04:02:12.383103 INFO::Fitting model to feature number 465, F489
## 2024-09-24 04:02:12.385451 INFO::Fitting model to feature number 466, F490
## 2024-09-24 04:02:12.387751 INFO::Fitting model to feature number 467, F491
## 2024-09-24 04:02:12.390079 INFO::Fitting model to feature number 468, F492
## 2024-09-24 04:02:12.392323 INFO::Fitting model to feature number 469, F493
## 2024-09-24 04:02:12.394557 INFO::Fitting model to feature number 470, F494
## 2024-09-24 04:02:12.396792 INFO::Fitting model to feature number 471, F495
## 2024-09-24 04:02:12.399034 INFO::Fitting model to feature number 472, F496
## 2024-09-24 04:02:12.401304 INFO::Fitting model to feature number 473, F497
## 2024-09-24 04:02:12.40356 INFO::Fitting model to feature number 474, F498
## 2024-09-24 04:02:12.405784 INFO::Fitting model to feature number 475, F499
## 2024-09-24 04:02:12.40801 INFO::Fitting model to feature number 476, F500
## 2024-09-24 04:02:12.410241 INFO::Fitting model to feature number 477, F501
## 2024-09-24 04:02:12.412743 INFO::Fitting model to feature number 478, F502
## 2024-09-24 04:02:12.415005 INFO::Fitting model to feature number 479, F503
## 2024-09-24 04:02:12.417292 INFO::Fitting model to feature number 480, F504
## 2024-09-24 04:02:12.419567 INFO::Fitting model to feature number 481, F505
## 2024-09-24 04:02:12.421807 INFO::Fitting model to feature number 482, F506
## 2024-09-24 04:02:12.424055 INFO::Fitting model to feature number 483, F507
## 2024-09-24 04:02:12.426392 INFO::Fitting model to feature number 484, F508
## 2024-09-24 04:02:12.428776 INFO::Fitting model to feature number 485, F509
## 2024-09-24 04:02:12.445555 INFO::Fitting model to feature number 486, F510
## 2024-09-24 04:02:12.448171 INFO::Fitting model to feature number 487, F511
## 2024-09-24 04:02:12.450442 INFO::Fitting model to feature number 488, F512
## 2024-09-24 04:02:12.452705 INFO::Fitting model to feature number 489, F513
## 2024-09-24 04:02:12.454941 INFO::Fitting model to feature number 490, F514
## 2024-09-24 04:02:12.457162 INFO::Fitting model to feature number 491, F515
## 2024-09-24 04:02:12.459431 INFO::Fitting model to feature number 492, F516
## 2024-09-24 04:02:12.461683 INFO::Fitting model to feature number 493, F517
## 2024-09-24 04:02:12.463946 INFO::Fitting model to feature number 494, F518
## 2024-09-24 04:02:12.466174 INFO::Fitting model to feature number 495, F519
## 2024-09-24 04:02:12.46843 INFO::Fitting model to feature number 496, F520
## 2024-09-24 04:02:12.470679 INFO::Fitting model to feature number 497, F521
## 2024-09-24 04:02:12.472904 INFO::Fitting model to feature number 498, F522
## 2024-09-24 04:02:12.475133 INFO::Fitting model to feature number 499, F523
## 2024-09-24 04:02:12.477349 INFO::Fitting model to feature number 500, F524
## 2024-09-24 04:02:12.479611 INFO::Fitting model to feature number 501, F525
## 2024-09-24 04:02:12.48183 INFO::Fitting model to feature number 502, F526
## 2024-09-24 04:02:12.484059 INFO::Fitting model to feature number 503, F527
## 2024-09-24 04:02:12.486274 INFO::Fitting model to feature number 504, F528
## 2024-09-24 04:02:12.48858 INFO::Fitting model to feature number 505, F529
## 2024-09-24 04:02:12.490885 INFO::Fitting model to feature number 506, F530
## 2024-09-24 04:02:12.493184 INFO::Fitting model to feature number 507, F531
## 2024-09-24 04:02:12.495488 INFO::Fitting model to feature number 508, F532
## 2024-09-24 04:02:12.497764 INFO::Fitting model to feature number 509, F533
## 2024-09-24 04:02:12.500017 INFO::Fitting model to feature number 510, F534
## 2024-09-24 04:02:12.502255 INFO::Fitting model to feature number 511, F535
## 2024-09-24 04:02:12.504626 INFO::Fitting model to feature number 512, F536
## 2024-09-24 04:02:12.506902 INFO::Fitting model to feature number 513, F537
## 2024-09-24 04:02:12.509152 INFO::Fitting model to feature number 514, F539
## 2024-09-24 04:02:12.51144 INFO::Fitting model to feature number 515, F540
## 2024-09-24 04:02:12.513674 INFO::Fitting model to feature number 516, F541
## 2024-09-24 04:02:12.515939 INFO::Fitting model to feature number 517, F543
## 2024-09-24 04:02:12.518193 INFO::Fitting model to feature number 518, F544
## 2024-09-24 04:02:12.520486 INFO::Fitting model to feature number 519, F545
## 2024-09-24 04:02:12.522736 INFO::Fitting model to feature number 520, F546
## 2024-09-24 04:02:12.524979 INFO::Fitting model to feature number 521, F547
## 2024-09-24 04:02:12.527231 INFO::Fitting model to feature number 522, F548
## 2024-09-24 04:02:12.529499 INFO::Fitting model to feature number 523, F549
## 2024-09-24 04:02:12.531798 INFO::Fitting model to feature number 524, F550
## 2024-09-24 04:02:12.534048 INFO::Fitting model to feature number 525, F551
## 2024-09-24 04:02:12.536294 INFO::Fitting model to feature number 526, F552
## 2024-09-24 04:02:12.538577 INFO::Fitting model to feature number 527, F553
## 2024-09-24 04:02:12.540803 INFO::Fitting model to feature number 528, F554
## 2024-09-24 04:02:12.543048 INFO::Fitting model to feature number 529, F555
## 2024-09-24 04:02:12.545269 INFO::Fitting model to feature number 530, F556
## 2024-09-24 04:02:12.547527 INFO::Fitting model to feature number 531, F557
## 2024-09-24 04:02:12.549755 INFO::Fitting model to feature number 532, F558
## 2024-09-24 04:02:12.551986 INFO::Fitting model to feature number 533, F559
## 2024-09-24 04:02:12.554192 INFO::Fitting model to feature number 534, F560
## 2024-09-24 04:02:12.556418 INFO::Fitting model to feature number 535, F561
## 2024-09-24 04:02:12.558673 INFO::Fitting model to feature number 536, F562
## 2024-09-24 04:02:12.560916 INFO::Fitting model to feature number 537, F563
## 2024-09-24 04:02:12.56315 INFO::Fitting model to feature number 538, F564
## 2024-09-24 04:02:12.565408 INFO::Fitting model to feature number 539, F566
## 2024-09-24 04:02:12.567665 INFO::Fitting model to feature number 540, F567
## 2024-09-24 04:02:12.569908 INFO::Fitting model to feature number 541, F568
## 2024-09-24 04:02:12.572186 INFO::Fitting model to feature number 542, F569
## 2024-09-24 04:02:12.574493 INFO::Fitting model to feature number 543, F570
## 2024-09-24 04:02:12.576728 INFO::Fitting model to feature number 544, F571
## 2024-09-24 04:02:12.578931 INFO::Fitting model to feature number 545, F572
## 2024-09-24 04:02:12.581149 INFO::Fitting model to feature number 546, F573
## 2024-09-24 04:02:12.583381 INFO::Fitting model to feature number 547, F574
## 2024-09-24 04:02:12.585603 INFO::Fitting model to feature number 548, F575
## 2024-09-24 04:02:12.587829 INFO::Fitting model to feature number 549, F576
## 2024-09-24 04:02:12.590071 INFO::Fitting model to feature number 550, F577
## 2024-09-24 04:02:12.592293 INFO::Fitting model to feature number 551, F578
## 2024-09-24 04:02:12.594561 INFO::Fitting model to feature number 552, F579
## 2024-09-24 04:02:12.596829 INFO::Fitting model to feature number 553, F580
## 2024-09-24 04:02:12.599081 INFO::Fitting model to feature number 554, F581
## 2024-09-24 04:02:12.601305 INFO::Fitting model to feature number 555, F582
## 2024-09-24 04:02:12.603553 INFO::Fitting model to feature number 556, F583
## 2024-09-24 04:02:12.605799 INFO::Fitting model to feature number 557, F584
## 2024-09-24 04:02:12.608048 INFO::Fitting model to feature number 558, F585
## 2024-09-24 04:02:12.61025 INFO::Fitting model to feature number 559, F586
## 2024-09-24 04:02:12.612483 INFO::Fitting model to feature number 560, F587
## 2024-09-24 04:02:12.614726 INFO::Fitting model to feature number 561, F588
## 2024-09-24 04:02:12.616956 INFO::Fitting model to feature number 562, F589
## 2024-09-24 04:02:12.619188 INFO::Fitting model to feature number 563, F590
## 2024-09-24 04:02:12.621431 INFO::Fitting model to feature number 564, F591
## 2024-09-24 04:02:12.623647 INFO::Fitting model to feature number 565, F592
## 2024-09-24 04:02:12.625897 INFO::Fitting model to feature number 566, F593
## 2024-09-24 04:02:12.628132 INFO::Fitting model to feature number 567, F594
## 2024-09-24 04:02:12.630376 INFO::Fitting model to feature number 568, F595
## 2024-09-24 04:02:12.632581 INFO::Fitting model to feature number 569, F596
## 2024-09-24 04:02:12.634784 INFO::Fitting model to feature number 570, F597
## 2024-09-24 04:02:12.637009 INFO::Fitting model to feature number 571, F598
## 2024-09-24 04:02:12.639277 INFO::Fitting model to feature number 572, F599
## 2024-09-24 04:02:12.641538 INFO::Fitting model to feature number 573, F600
## 2024-09-24 04:02:12.643745 INFO::Fitting model to feature number 574, F601
## 2024-09-24 04:02:12.645962 INFO::Fitting model to feature number 575, F602
## 2024-09-24 04:02:12.648196 INFO::Fitting model to feature number 576, F603
## 2024-09-24 04:02:12.65044 INFO::Fitting model to feature number 577, F605
## 2024-09-24 04:02:12.65271 INFO::Fitting model to feature number 578, F606
## 2024-09-24 04:02:12.65504 INFO::Fitting model to feature number 579, F607
## 2024-09-24 04:02:12.657326 INFO::Fitting model to feature number 580, F608
## 2024-09-24 04:02:12.65963 INFO::Fitting model to feature number 581, F609
## 2024-09-24 04:02:12.661902 INFO::Fitting model to feature number 582, F610
## 2024-09-24 04:02:12.664193 INFO::Fitting model to feature number 583, F611
## 2024-09-24 04:02:12.666468 INFO::Fitting model to feature number 584, F612
## 2024-09-24 04:02:12.668702 INFO::Fitting model to feature number 585, F613
## 2024-09-24 04:02:12.670914 INFO::Fitting model to feature number 586, F614
## 2024-09-24 04:02:12.673118 INFO::Fitting model to feature number 587, F615
## 2024-09-24 04:02:12.675342 INFO::Fitting model to feature number 588, F616
## 2024-09-24 04:02:12.677585 INFO::Fitting model to feature number 589, F617
## 2024-09-24 04:02:12.679825 INFO::Fitting model to feature number 590, F618
## 2024-09-24 04:02:12.682086 INFO::Fitting model to feature number 591, F619
## 2024-09-24 04:02:12.684325 INFO::Fitting model to feature number 592, F620
## 2024-09-24 04:02:12.686641 INFO::Fitting model to feature number 593, F621
## 2024-09-24 04:02:12.688992 INFO::Fitting model to feature number 594, F622
## 2024-09-24 04:02:12.69127 INFO::Fitting model to feature number 595, F623
## 2024-09-24 04:02:12.693585 INFO::Fitting model to feature number 596, F624
## 2024-09-24 04:02:12.695893 INFO::Fitting model to feature number 597, F625
## 2024-09-24 04:02:12.698159 INFO::Fitting model to feature number 598, F626
## 2024-09-24 04:02:12.700401 INFO::Fitting model to feature number 599, F627
## 2024-09-24 04:02:12.702637 INFO::Fitting model to feature number 600, F628
## 2024-09-24 04:02:12.704869 INFO::Fitting model to feature number 601, F629
## 2024-09-24 04:02:12.707081 INFO::Fitting model to feature number 602, F630
## 2024-09-24 04:02:12.709308 INFO::Fitting model to feature number 603, F631
## 2024-09-24 04:02:12.711574 INFO::Fitting model to feature number 604, F632
## 2024-09-24 04:02:12.713855 INFO::Fitting model to feature number 605, F633
## 2024-09-24 04:02:12.716075 INFO::Fitting model to feature number 606, F634
## 2024-09-24 04:02:12.71832 INFO::Fitting model to feature number 607, F635
## 2024-09-24 04:02:12.720579 INFO::Fitting model to feature number 608, F636
## 2024-09-24 04:02:12.72288 INFO::Fitting model to feature number 609, F637
## 2024-09-24 04:02:12.725123 INFO::Fitting model to feature number 610, F638
## 2024-09-24 04:02:12.727373 INFO::Fitting model to feature number 611, F639
## 2024-09-24 04:02:12.729629 INFO::Fitting model to feature number 612, F640
## 2024-09-24 04:02:12.731872 INFO::Fitting model to feature number 613, F641
## 2024-09-24 04:02:12.734107 INFO::Fitting model to feature number 614, F642
## 2024-09-24 04:02:12.736345 INFO::Fitting model to feature number 615, F643
## 2024-09-24 04:02:12.739019 INFO::Fitting model to feature number 616, F644
## 2024-09-24 04:02:12.742071 INFO::Fitting model to feature number 617, F645
## 2024-09-24 04:02:12.745107 INFO::Fitting model to feature number 618, F646
## 2024-09-24 04:02:12.748143 INFO::Fitting model to feature number 619, F647
## 2024-09-24 04:02:12.75119 INFO::Fitting model to feature number 620, F648
## 2024-09-24 04:02:12.754328 INFO::Fitting model to feature number 621, F649
## 2024-09-24 04:02:12.756814 INFO::Fitting model to feature number 622, F650
## 2024-09-24 04:02:12.759098 INFO::Fitting model to feature number 623, F651
## 2024-09-24 04:02:12.76141 INFO::Fitting model to feature number 624, F652
## 2024-09-24 04:02:12.763632 INFO::Fitting model to feature number 625, F653
## 2024-09-24 04:02:12.765844 INFO::Fitting model to feature number 626, F654
## 2024-09-24 04:02:12.768059 INFO::Fitting model to feature number 627, F655
## 2024-09-24 04:02:12.770313 INFO::Fitting model to feature number 628, F656
## 2024-09-24 04:02:12.772578 INFO::Fitting model to feature number 629, F657
## 2024-09-24 04:02:12.77485 INFO::Fitting model to feature number 630, F658
## 2024-09-24 04:02:12.777138 INFO::Fitting model to feature number 631, F659
## 2024-09-24 04:02:12.779397 INFO::Fitting model to feature number 632, F660
## 2024-09-24 04:02:12.781652 INFO::Fitting model to feature number 633, F661
## 2024-09-24 04:02:12.783884 INFO::Fitting model to feature number 634, F662
## 2024-09-24 04:02:12.786111 INFO::Fitting model to feature number 635, F663
## 2024-09-24 04:02:12.788351 INFO::Fitting model to feature number 636, F664
## 2024-09-24 04:02:12.7906 INFO::Fitting model to feature number 637, F665
## 2024-09-24 04:02:12.792957 INFO::Fitting model to feature number 638, F666
## 2024-09-24 04:02:12.795232 INFO::Fitting model to feature number 639, F667
## 2024-09-24 04:02:12.7975 INFO::Fitting model to feature number 640, F668
## 2024-09-24 04:02:12.799759 INFO::Fitting model to feature number 641, F669
## 2024-09-24 04:02:12.802014 INFO::Fitting model to feature number 642, F670
## 2024-09-24 04:02:12.804277 INFO::Fitting model to feature number 643, F671
## 2024-09-24 04:02:12.806536 INFO::Fitting model to feature number 644, F672
## 2024-09-24 04:02:12.808784 INFO::Fitting model to feature number 645, F673
## 2024-09-24 04:02:12.811026 INFO::Fitting model to feature number 646, F674
## 2024-09-24 04:02:12.813267 INFO::Fitting model to feature number 647, F675
## 2024-09-24 04:02:12.815526 INFO::Fitting model to feature number 648, F676
## 2024-09-24 04:02:12.81775 INFO::Fitting model to feature number 649, F677
## 2024-09-24 04:02:12.819994 INFO::Fitting model to feature number 650, F678
## 2024-09-24 04:02:12.822224 INFO::Fitting model to feature number 651, F679
## 2024-09-24 04:02:12.824485 INFO::Fitting model to feature number 652, F680
## 2024-09-24 04:02:12.826765 INFO::Fitting model to feature number 653, F681
## 2024-09-24 04:02:12.829009 INFO::Fitting model to feature number 654, F682
## 2024-09-24 04:02:12.831237 INFO::Fitting model to feature number 655, F683
## 2024-09-24 04:02:12.833483 INFO::Fitting model to feature number 656, F684
## 2024-09-24 04:02:12.835717 INFO::Fitting model to feature number 657, F685
## 2024-09-24 04:02:12.837954 INFO::Fitting model to feature number 658, F686
## 2024-09-24 04:02:12.840203 INFO::Fitting model to feature number 659, F687
## 2024-09-24 04:02:12.842456 INFO::Fitting model to feature number 660, F688
## 2024-09-24 04:02:12.84467 INFO::Fitting model to feature number 661, F689
## 2024-09-24 04:02:12.846887 INFO::Fitting model to feature number 662, F690
## 2024-09-24 04:02:12.849101 INFO::Fitting model to feature number 663, F691
## 2024-09-24 04:02:12.851385 INFO::Fitting model to feature number 664, F692
## 2024-09-24 04:02:12.853646 INFO::Fitting model to feature number 665, F693
## 2024-09-24 04:02:12.855915 INFO::Fitting model to feature number 666, F694
## 2024-09-24 04:02:12.858169 INFO::Fitting model to feature number 667, F695
## 2024-09-24 04:02:12.860431 INFO::Fitting model to feature number 668, F696
## 2024-09-24 04:02:12.862672 INFO::Fitting model to feature number 669, F697
## 2024-09-24 04:02:12.86491 INFO::Fitting model to feature number 670, F698
## 2024-09-24 04:02:12.867152 INFO::Fitting model to feature number 671, F699
## 2024-09-24 04:02:12.869416 INFO::Fitting model to feature number 672, F700
## 2024-09-24 04:02:12.871668 INFO::Fitting model to feature number 673, F701
## 2024-09-24 04:02:12.873906 INFO::Fitting model to feature number 674, F702
## 2024-09-24 04:02:12.876135 INFO::Fitting model to feature number 675, F704
## 2024-09-24 04:02:12.878383 INFO::Fitting model to feature number 676, F705
## 2024-09-24 04:02:12.880622 INFO::Fitting model to feature number 677, F706
## 2024-09-24 04:02:12.882847 INFO::Fitting model to feature number 678, F707
## 2024-09-24 04:02:12.885184 INFO::Fitting model to feature number 679, F708
## 2024-09-24 04:02:12.887443 INFO::Fitting model to feature number 680, F709
## 2024-09-24 04:02:12.889677 INFO::Fitting model to feature number 681, F710
## 2024-09-24 04:02:12.891968 INFO::Fitting model to feature number 682, F711
## 2024-09-24 04:02:12.894203 INFO::Fitting model to feature number 683, F712
## 2024-09-24 04:02:12.896472 INFO::Fitting model to feature number 684, F713
## 2024-09-24 04:02:12.898704 INFO::Fitting model to feature number 685, F714
## 2024-09-24 04:02:12.900964 INFO::Fitting model to feature number 686, F715
## 2024-09-24 04:02:12.903197 INFO::Fitting model to feature number 687, F716
## 2024-09-24 04:02:12.905433 INFO::Fitting model to feature number 688, F717
## 2024-09-24 04:02:12.907658 INFO::Fitting model to feature number 689, F718
## 2024-09-24 04:02:12.909888 INFO::Fitting model to feature number 690, F719
## 2024-09-24 04:02:12.912119 INFO::Fitting model to feature number 691, F720
## 2024-09-24 04:02:12.914372 INFO::Fitting model to feature number 692, F721
## 2024-09-24 04:02:12.916629 INFO::Fitting model to feature number 693, F722
## 2024-09-24 04:02:12.918886 INFO::Fitting model to feature number 694, F723
## 2024-09-24 04:02:12.921129 INFO::Fitting model to feature number 695, F724
## 2024-09-24 04:02:12.92339 INFO::Fitting model to feature number 696, F725
## 2024-09-24 04:02:12.925634 INFO::Fitting model to feature number 697, F726
## 2024-09-24 04:02:12.927871 INFO::Fitting model to feature number 698, F727
## 2024-09-24 04:02:12.930101 INFO::Fitting model to feature number 699, F728
## 2024-09-24 04:02:12.93241 INFO::Fitting model to feature number 700, F729
## 2024-09-24 04:02:12.934712 INFO::Fitting model to feature number 701, F730
## 2024-09-24 04:02:12.936959 INFO::Fitting model to feature number 702, F731
## 2024-09-24 04:02:12.939175 INFO::Fitting model to feature number 703, F732
## 2024-09-24 04:02:12.941427 INFO::Fitting model to feature number 704, F733
## 2024-09-24 04:02:12.943682 INFO::Fitting model to feature number 705, F734
## 2024-09-24 04:02:12.945902 INFO::Fitting model to feature number 706, F735
## 2024-09-24 04:02:12.948143 INFO::Fitting model to feature number 707, F736
## 2024-09-24 04:02:12.950407 INFO::Fitting model to feature number 708, F737
## 2024-09-24 04:02:12.952632 INFO::Fitting model to feature number 709, F739
## 2024-09-24 04:02:12.954851 INFO::Fitting model to feature number 710, F740
## 2024-09-24 04:02:12.957103 INFO::Fitting model to feature number 711, F741
## 2024-09-24 04:02:12.959345 INFO::Fitting model to feature number 712, F742
## 2024-09-24 04:02:12.961594 INFO::Fitting model to feature number 713, F743
## 2024-09-24 04:02:12.963834 INFO::Fitting model to feature number 714, F744
## 2024-09-24 04:02:12.966049 INFO::Fitting model to feature number 715, F745
## 2024-09-24 04:02:12.968297 INFO::Fitting model to feature number 716, F746
## 2024-09-24 04:02:12.97056 INFO::Fitting model to feature number 717, F747
## 2024-09-24 04:02:12.972805 INFO::Fitting model to feature number 718, F748
## 2024-09-24 04:02:12.975088 INFO::Fitting model to feature number 719, F749
## 2024-09-24 04:02:12.977324 INFO::Fitting model to feature number 720, F750
## 2024-09-24 04:02:12.979609 INFO::Fitting model to feature number 721, F751
## 2024-09-24 04:02:12.981842 INFO::Fitting model to feature number 722, F752
## 2024-09-24 04:02:12.984148 INFO::Fitting model to feature number 723, F753
## 2024-09-24 04:02:12.986441 INFO::Fitting model to feature number 724, F754
## 2024-09-24 04:02:12.988725 INFO::Fitting model to feature number 725, F755
## 2024-09-24 04:02:12.990982 INFO::Fitting model to feature number 726, F756
## 2024-09-24 04:02:12.993209 INFO::Fitting model to feature number 727, F757
## 2024-09-24 04:02:12.995491 INFO::Fitting model to feature number 728, F758
## 2024-09-24 04:02:12.99773 INFO::Fitting model to feature number 729, F759
## 2024-09-24 04:02:12.999979 INFO::Fitting model to feature number 730, F760
## 2024-09-24 04:02:13.002218 INFO::Fitting model to feature number 731, F761
## 2024-09-24 04:02:13.004514 INFO::Fitting model to feature number 732, F762
## 2024-09-24 04:02:13.006801 INFO::Fitting model to feature number 733, F763
## 2024-09-24 04:02:13.009082 INFO::Fitting model to feature number 734, F764
## 2024-09-24 04:02:13.011412 INFO::Fitting model to feature number 735, F765
## 2024-09-24 04:02:13.013684 INFO::Fitting model to feature number 736, F766
## 2024-09-24 04:02:13.015966 INFO::Fitting model to feature number 737, F767
## 2024-09-24 04:02:13.018219 INFO::Fitting model to feature number 738, F768
## 2024-09-24 04:02:13.020483 INFO::Fitting model to feature number 739, F769
## 2024-09-24 04:02:13.022748 INFO::Fitting model to feature number 740, F770
## 2024-09-24 04:02:13.024987 INFO::Fitting model to feature number 741, F771
## 2024-09-24 04:02:13.027295 INFO::Fitting model to feature number 742, F772
## 2024-09-24 04:02:13.029566 INFO::Fitting model to feature number 743, F773
## 2024-09-24 04:02:13.031824 INFO::Fitting model to feature number 744, F774
## 2024-09-24 04:02:13.034046 INFO::Fitting model to feature number 745, F775
## 2024-09-24 04:02:13.036288 INFO::Fitting model to feature number 746, F776
## 2024-09-24 04:02:13.038554 INFO::Fitting model to feature number 747, F777
## 2024-09-24 04:02:13.040791 INFO::Fitting model to feature number 748, F778
## 2024-09-24 04:02:13.043058 INFO::Fitting model to feature number 749, F779
## 2024-09-24 04:02:13.045298 INFO::Fitting model to feature number 750, F780
## 2024-09-24 04:02:13.047557 INFO::Fitting model to feature number 751, F781
## 2024-09-24 04:02:13.049812 INFO::Fitting model to feature number 752, F782
## 2024-09-24 04:02:13.052057 INFO::Fitting model to feature number 753, F783
## 2024-09-24 04:02:13.054287 INFO::Fitting model to feature number 754, F784
## 2024-09-24 04:02:13.056566 INFO::Fitting model to feature number 755, F785
## 2024-09-24 04:02:13.058843 INFO::Fitting model to feature number 756, F786
## 2024-09-24 04:02:13.061098 INFO::Fitting model to feature number 757, F787
## 2024-09-24 04:02:13.063351 INFO::Fitting model to feature number 758, F788
## 2024-09-24 04:02:13.065625 INFO::Fitting model to feature number 759, F789
## 2024-09-24 04:02:13.06788 INFO::Fitting model to feature number 760, F790
## 2024-09-24 04:02:13.070134 INFO::Fitting model to feature number 761, F791
## 2024-09-24 04:02:13.072396 INFO::Fitting model to feature number 762, F792
## 2024-09-24 04:02:13.07467 INFO::Fitting model to feature number 763, F793
## 2024-09-24 04:02:13.076914 INFO::Fitting model to feature number 764, F794
## 2024-09-24 04:02:13.079152 INFO::Fitting model to feature number 765, F795
## 2024-09-24 04:02:13.081409 INFO::Fitting model to feature number 766, F796
## 2024-09-24 04:02:13.08372 INFO::Fitting model to feature number 767, F797
## 2024-09-24 04:02:13.10085 INFO::Fitting model to feature number 768, F798
## 2024-09-24 04:02:13.103495 INFO::Fitting model to feature number 769, F799
## 2024-09-24 04:02:13.105798 INFO::Fitting model to feature number 770, F800
## 2024-09-24 04:02:13.108082 INFO::Fitting model to feature number 771, F801
## 2024-09-24 04:02:13.11039 INFO::Fitting model to feature number 772, F802
## 2024-09-24 04:02:13.112645 INFO::Fitting model to feature number 773, F803
## 2024-09-24 04:02:13.114928 INFO::Fitting model to feature number 774, F804
## 2024-09-24 04:02:13.117198 INFO::Fitting model to feature number 775, F805
## 2024-09-24 04:02:13.119485 INFO::Fitting model to feature number 776, F806
## 2024-09-24 04:02:13.121734 INFO::Fitting model to feature number 777, F808
## 2024-09-24 04:02:13.123996 INFO::Fitting model to feature number 778, F809
## 2024-09-24 04:02:13.126245 INFO::Fitting model to feature number 779, F810
## 2024-09-24 04:02:13.128554 INFO::Fitting model to feature number 780, F811
## 2024-09-24 04:02:13.130806 INFO::Fitting model to feature number 781, F812
## 2024-09-24 04:02:13.133045 INFO::Fitting model to feature number 782, F813
## 2024-09-24 04:02:13.135287 INFO::Fitting model to feature number 783, F814
## 2024-09-24 04:02:13.137569 INFO::Fitting model to feature number 784, F815
## 2024-09-24 04:02:13.139827 INFO::Fitting model to feature number 785, F816
## 2024-09-24 04:02:13.142054 INFO::Fitting model to feature number 786, F817
## 2024-09-24 04:02:13.144285 INFO::Fitting model to feature number 787, F818
## 2024-09-24 04:02:13.146541 INFO::Fitting model to feature number 788, F819
## 2024-09-24 04:02:13.148783 INFO::Fitting model to feature number 789, F820
## 2024-09-24 04:02:13.151001 INFO::Fitting model to feature number 790, F821
## 2024-09-24 04:02:13.153247 INFO::Fitting model to feature number 791, F822
## 2024-09-24 04:02:13.155612 INFO::Fitting model to feature number 792, F823
## 2024-09-24 04:02:13.157864 INFO::Fitting model to feature number 793, F824
## 2024-09-24 04:02:13.160201 INFO::Fitting model to feature number 794, F825
## 2024-09-24 04:02:13.162472 INFO::Fitting model to feature number 795, F826
## 2024-09-24 04:02:13.164703 INFO::Fitting model to feature number 796, F827
## 2024-09-24 04:02:13.167001 INFO::Fitting model to feature number 797, F828
## 2024-09-24 04:02:13.169291 INFO::Fitting model to feature number 798, F829
## 2024-09-24 04:02:13.171601 INFO::Fitting model to feature number 799, F830
## 2024-09-24 04:02:13.173887 INFO::Fitting model to feature number 800, F831
## 2024-09-24 04:02:13.176171 INFO::Fitting model to feature number 801, F832
## 2024-09-24 04:02:13.178552 INFO::Fitting model to feature number 802, F833
## 2024-09-24 04:02:13.180785 INFO::Fitting model to feature number 803, F834
## 2024-09-24 04:02:13.183024 INFO::Fitting model to feature number 804, F835
## 2024-09-24 04:02:13.185286 INFO::Fitting model to feature number 805, F836
## 2024-09-24 04:02:13.187599 INFO::Fitting model to feature number 806, F837
## 2024-09-24 04:02:13.189873 INFO::Fitting model to feature number 807, F838
## 2024-09-24 04:02:13.192137 INFO::Fitting model to feature number 808, F839
## 2024-09-24 04:02:13.194407 INFO::Fitting model to feature number 809, F840
## 2024-09-24 04:02:13.196648 INFO::Fitting model to feature number 810, F841
## 2024-09-24 04:02:13.198874 INFO::Fitting model to feature number 811, F842
## 2024-09-24 04:02:13.201094 INFO::Fitting model to feature number 812, F843
## 2024-09-24 04:02:13.203322 INFO::Fitting model to feature number 813, F844
## 2024-09-24 04:02:13.20556 INFO::Fitting model to feature number 814, F845
## 2024-09-24 04:02:13.207766 INFO::Fitting model to feature number 815, F846
## 2024-09-24 04:02:13.209973 INFO::Fitting model to feature number 816, F847
## 2024-09-24 04:02:13.212184 INFO::Fitting model to feature number 817, F848
## 2024-09-24 04:02:13.214448 INFO::Fitting model to feature number 818, F849
## 2024-09-24 04:02:13.21672 INFO::Fitting model to feature number 819, F850
## 2024-09-24 04:02:13.218975 INFO::Fitting model to feature number 820, F851
## 2024-09-24 04:02:13.221236 INFO::Fitting model to feature number 821, F852
## 2024-09-24 04:02:13.2235 INFO::Fitting model to feature number 822, F853
## 2024-09-24 04:02:13.225773 INFO::Fitting model to feature number 823, F854
## 2024-09-24 04:02:13.228091 INFO::Fitting model to feature number 824, F855
## 2024-09-24 04:02:13.23035 INFO::Fitting model to feature number 825, F856
## 2024-09-24 04:02:13.232621 INFO::Fitting model to feature number 826, F857
## 2024-09-24 04:02:13.234847 INFO::Fitting model to feature number 827, F858
## 2024-09-24 04:02:13.237083 INFO::Fitting model to feature number 828, F859
## 2024-09-24 04:02:13.239299 INFO::Fitting model to feature number 829, F860
## 2024-09-24 04:02:13.241646 INFO::Fitting model to feature number 830, F861
## 2024-09-24 04:02:13.243975 INFO::Fitting model to feature number 831, F862
## 2024-09-24 04:02:13.24623 INFO::Fitting model to feature number 832, F863
## 2024-09-24 04:02:13.248499 INFO::Fitting model to feature number 833, F864
## 2024-09-24 04:02:13.250755 INFO::Fitting model to feature number 834, F865
## 2024-09-24 04:02:13.253035 INFO::Fitting model to feature number 835, F866
## 2024-09-24 04:02:13.255275 INFO::Fitting model to feature number 836, F867
## 2024-09-24 04:02:13.25753 INFO::Fitting model to feature number 837, F868
## 2024-09-24 04:02:13.259812 INFO::Fitting model to feature number 838, F869
## 2024-09-24 04:02:13.262096 INFO::Fitting model to feature number 839, F870
## 2024-09-24 04:02:13.264403 INFO::Fitting model to feature number 840, F871
## 2024-09-24 04:02:13.266632 INFO::Fitting model to feature number 841, F872
## 2024-09-24 04:02:13.268858 INFO::Fitting model to feature number 842, F873
## 2024-09-24 04:02:13.27113 INFO::Fitting model to feature number 843, F874
## 2024-09-24 04:02:13.273438 INFO::Fitting model to feature number 844, F875
## 2024-09-24 04:02:13.275699 INFO::Fitting model to feature number 845, F876
## 2024-09-24 04:02:13.277938 INFO::Fitting model to feature number 846, F877
## 2024-09-24 04:02:13.280152 INFO::Fitting model to feature number 847, F878
## 2024-09-24 04:02:13.282409 INFO::Fitting model to feature number 848, F879
## 2024-09-24 04:02:13.284665 INFO::Fitting model to feature number 849, F880
## 2024-09-24 04:02:13.286895 INFO::Fitting model to feature number 850, F881
## 2024-09-24 04:02:13.289142 INFO::Fitting model to feature number 851, F882
## 2024-09-24 04:02:13.291387 INFO::Fitting model to feature number 852, F883
## 2024-09-24 04:02:13.293637 INFO::Fitting model to feature number 853, F884
## 2024-09-24 04:02:13.295907 INFO::Fitting model to feature number 854, F885
## 2024-09-24 04:02:13.298217 INFO::Fitting model to feature number 855, F886
## 2024-09-24 04:02:13.300491 INFO::Fitting model to feature number 856, F887
## 2024-09-24 04:02:13.302748 INFO::Fitting model to feature number 857, F888
## 2024-09-24 04:02:13.304979 INFO::Fitting model to feature number 858, F889
## 2024-09-24 04:02:13.307209 INFO::Fitting model to feature number 859, F890
## 2024-09-24 04:02:13.30955 INFO::Fitting model to feature number 860, F891
## 2024-09-24 04:02:13.311812 INFO::Fitting model to feature number 861, F892
## 2024-09-24 04:02:13.314104 INFO::Fitting model to feature number 862, F893
## 2024-09-24 04:02:13.316458 INFO::Fitting model to feature number 863, F894
## 2024-09-24 04:02:13.318761 INFO::Fitting model to feature number 864, F895
## 2024-09-24 04:02:13.321093 INFO::Fitting model to feature number 865, F896
## 2024-09-24 04:02:13.323355 INFO::Fitting model to feature number 866, F897
## 2024-09-24 04:02:13.325625 INFO::Fitting model to feature number 867, F898
## 2024-09-24 04:02:13.327863 INFO::Fitting model to feature number 868, F899
## 2024-09-24 04:02:13.330126 INFO::Fitting model to feature number 869, F900
## 2024-09-24 04:02:13.441342 INFO::Counting total values for each feature
## 2024-09-24 04:02:13.520596 INFO::Writing filtered data to file Macarron_output/maaslin2_results/features/filtered_data.tsv
## 2024-09-24 04:02:13.576944 INFO::Writing filtered, normalized data to file Macarron_output/maaslin2_results/features/filtered_data_norm.tsv
## 2024-09-24 04:02:13.633197 INFO::Writing filtered, normalized, transformed data to file Macarron_output/maaslin2_results/features/filtered_data_norm_transformed.tsv
## 2024-09-24 04:02:13.689679 INFO::Writing residuals to file Macarron_output/maaslin2_results/fits/residuals.rds
## 2024-09-24 04:02:13.718657 INFO::Writing fitted values to file Macarron_output/maaslin2_results/fits/fitted.rds
## 2024-09-24 04:02:13.742567 INFO::Writing all results to file (ordered by increasing q-values): Macarron_output/maaslin2_results/all_results.tsv
## 2024-09-24 04:02:13.752557 INFO::Writing the significant results (those which are less than or equal to the threshold of 0.250000 ) to file (ordered by increasing q-values): Macarron_output/maaslin2_results/significant_results.tsv
## 2024-09-24 04:02:13.757114 INFO::Writing association plots (one for each significant association) to output folder: Macarron_output/maaslin2_results
## 2024-09-24 04:02:13.768242 INFO::Plotting associations from most to least significant, grouped by metadata
## 2024-09-24 04:02:13.768976 INFO::Plotting data for metadata number 1, diagnosis
## 2024-09-24 04:02:13.79718 INFO::Creating boxplot for categorical data, diagnosis vs F504
## 2024-09-24 04:02:14.004431 INFO::Creating boxplot for categorical data, diagnosis vs F859
## 2024-09-24 04:02:14.12816 INFO::Creating boxplot for categorical data, diagnosis vs F533
## 2024-09-24 04:02:14.241292 INFO::Creating boxplot for categorical data, diagnosis vs F587
## 2024-09-24 04:02:14.353606 INFO::Creating boxplot for categorical data, diagnosis vs F584
## 2024-09-24 04:02:14.464173 INFO::Creating boxplot for categorical data, diagnosis vs F197
## 2024-09-24 04:02:14.574374 INFO::Creating boxplot for categorical data, diagnosis vs F380
## 2024-09-24 04:02:14.692628 INFO::Creating boxplot for categorical data, diagnosis vs F829
## 2024-09-24 04:02:14.806902 INFO::Creating boxplot for categorical data, diagnosis vs F664
## 2024-09-24 04:02:14.917685 INFO::Creating boxplot for categorical data, diagnosis vs F93
## 2024-09-24 04:02:15.028078 INFO::Creating boxplot for categorical data, diagnosis vs F15
## 2024-09-24 04:02:15.136902 INFO::Creating boxplot for categorical data, diagnosis vs F881
## 2024-09-24 04:02:15.256244 INFO::Creating boxplot for categorical data, diagnosis vs F806
## 2024-09-24 04:02:15.365639 INFO::Creating boxplot for categorical data, diagnosis vs F78
## 2024-09-24 04:02:15.480202 INFO::Creating boxplot for categorical data, diagnosis vs F189
## 2024-09-24 04:02:15.591802 INFO::Creating boxplot for categorical data, diagnosis vs F369
## 2024-09-24 04:02:15.70157 INFO::Creating boxplot for categorical data, diagnosis vs F623
## 2024-09-24 04:02:15.813701 INFO::Creating boxplot for categorical data, diagnosis vs F710
## 2024-09-24 04:02:15.933392 INFO::Creating boxplot for categorical data, diagnosis vs F851
## 2024-09-24 04:02:16.045079 INFO::Creating boxplot for categorical data, diagnosis vs F257
## 2024-09-24 04:02:16.155278 INFO::Creating boxplot for categorical data, diagnosis vs F330
## 2024-09-24 04:02:16.264462 INFO::Creating boxplot for categorical data, diagnosis vs F344
## 2024-09-24 04:02:16.374509 INFO::Creating boxplot for categorical data, diagnosis vs F696
## 2024-09-24 04:02:16.484278 INFO::Creating boxplot for categorical data, diagnosis vs F741
## 2024-09-24 04:02:16.636799 INFO::Creating boxplot for categorical data, diagnosis vs F509
## 2024-09-24 04:02:16.745879 INFO::Creating boxplot for categorical data, diagnosis vs F479
## 2024-09-24 04:02:16.855084 INFO::Creating boxplot for categorical data, diagnosis vs F550
## 2024-09-24 04:02:16.965208 INFO::Creating boxplot for categorical data, diagnosis vs F640
## 2024-09-24 04:02:17.074048 INFO::Creating boxplot for categorical data, diagnosis vs F281
## 2024-09-24 04:02:17.182801 INFO::Creating boxplot for categorical data, diagnosis vs F80
## 2024-09-24 04:02:17.300449 INFO::Creating boxplot for categorical data, diagnosis vs F285
## 2024-09-24 04:02:17.410491 INFO::Creating boxplot for categorical data, diagnosis vs F531
## 2024-09-24 04:02:17.519484 INFO::Creating boxplot for categorical data, diagnosis vs F737
## 2024-09-24 04:02:17.628952 INFO::Creating boxplot for categorical data, diagnosis vs F875
## 2024-09-24 04:02:17.739289 INFO::Creating boxplot for categorical data, diagnosis vs F864
## 2024-09-24 04:02:17.859062 INFO::Creating boxplot for categorical data, diagnosis vs F379
## 2024-09-24 04:02:17.967592 INFO::Creating boxplot for categorical data, diagnosis vs F190
## 2024-09-24 04:02:18.077303 INFO::Creating boxplot for categorical data, diagnosis vs F4
## 2024-09-24 04:02:18.18942 INFO::Creating boxplot for categorical data, diagnosis vs F591
## 2024-09-24 04:02:18.297547 INFO::Creating boxplot for categorical data, diagnosis vs F773
## 2024-09-24 04:02:18.405859 INFO::Creating boxplot for categorical data, diagnosis vs F283
## 2024-09-24 04:02:18.524705 INFO::Creating boxplot for categorical data, diagnosis vs F233
## 2024-09-24 04:02:18.633188 INFO::Creating boxplot for categorical data, diagnosis vs F420
## 2024-09-24 04:02:18.744281 INFO::Creating boxplot for categorical data, diagnosis vs F5
## 2024-09-24 04:02:18.855384 INFO::Creating boxplot for categorical data, diagnosis vs F137
## 2024-09-24 04:02:18.965335 INFO::Creating boxplot for categorical data, diagnosis vs F215
## 2024-09-24 04:02:19.075016 INFO::Creating boxplot for categorical data, diagnosis vs F489
## 2024-09-24 04:02:19.193637 INFO::Creating boxplot for categorical data, diagnosis vs F220
## 2024-09-24 04:02:19.302583 INFO::Creating boxplot for categorical data, diagnosis vs F691
## 2024-09-24 04:02:19.412627 INFO::Creating boxplot for categorical data, diagnosis vs F381
## 2024-09-24 04:02:19.521825 INFO::Creating boxplot for categorical data, diagnosis vs F539
## 2024-09-24 04:02:19.628877 INFO::Creating boxplot for categorical data, diagnosis vs F490
## 2024-09-24 04:02:19.736977 INFO::Creating boxplot for categorical data, diagnosis vs F832
## 2024-09-24 04:02:19.859702 INFO::Creating boxplot for categorical data, diagnosis vs F396
## 2024-09-24 04:02:19.967223 INFO::Creating boxplot for categorical data, diagnosis vs F528
## 2024-09-24 04:02:20.075274 INFO::Creating boxplot for categorical data, diagnosis vs F234
## 2024-09-24 04:02:20.183468 INFO::Creating boxplot for categorical data, diagnosis vs F178
## 2024-09-24 04:02:20.291553 INFO::Creating boxplot for categorical data, diagnosis vs F761
## 2024-09-24 04:02:20.410993 INFO::Creating boxplot for categorical data, diagnosis vs F2
## 2024-09-24 04:02:20.519188 INFO::Creating boxplot for categorical data, diagnosis vs F260
## 2024-09-24 04:02:20.63042 INFO::Creating boxplot for categorical data, diagnosis vs F734
## 2024-09-24 04:02:20.739868 INFO::Creating boxplot for categorical data, diagnosis vs F429
## 2024-09-24 04:02:20.849938 INFO::Creating boxplot for categorical data, diagnosis vs F630
## 2024-09-24 04:02:20.962122 INFO::Creating boxplot for categorical data, diagnosis vs F817
## 2024-09-24 04:02:21.082976 INFO::Creating boxplot for categorical data, diagnosis vs F847
## 2024-09-24 04:02:21.19452 INFO::Creating boxplot for categorical data, diagnosis vs F896
## 2024-09-24 04:02:21.306214 INFO::Creating boxplot for categorical data, diagnosis vs F81
## 2024-09-24 04:02:21.416345 INFO::Creating boxplot for categorical data, diagnosis vs F110
## 2024-09-24 04:02:21.526936 INFO::Creating boxplot for categorical data, diagnosis vs F3
## 2024-09-24 04:02:21.637114 INFO::Creating boxplot for categorical data, diagnosis vs F33
## 2024-09-24 04:02:21.75616 INFO::Creating boxplot for categorical data, diagnosis vs F270
## 2024-09-24 04:02:21.865928 INFO::Creating boxplot for categorical data, diagnosis vs F278
## 2024-09-24 04:02:21.977074 INFO::Creating boxplot for categorical data, diagnosis vs F264
## 2024-09-24 04:02:22.085971 INFO::Creating boxplot for categorical data, diagnosis vs F90
## 2024-09-24 04:02:22.194565 INFO::Creating boxplot for categorical data, diagnosis vs F403
## 2024-09-24 04:02:22.316882 INFO::Creating boxplot for categorical data, diagnosis vs F727
## 2024-09-24 04:02:22.426896 INFO::Creating boxplot for categorical data, diagnosis vs F394
## 2024-09-24 04:02:22.536251 INFO::Creating boxplot for categorical data, diagnosis vs F800
## 2024-09-24 04:02:22.645678 INFO::Creating boxplot for categorical data, diagnosis vs F439
## 2024-09-24 04:02:22.755285 INFO::Creating boxplot for categorical data, diagnosis vs F554
## 2024-09-24 04:02:22.864386 INFO::Creating boxplot for categorical data, diagnosis vs F559
## 2024-09-24 04:02:22.983905 INFO::Creating boxplot for categorical data, diagnosis vs F548
## 2024-09-24 04:02:23.091719 INFO::Creating boxplot for categorical data, diagnosis vs F794
## 2024-09-24 04:02:23.201522 INFO::Creating boxplot for categorical data, diagnosis vs F45
## 2024-09-24 04:02:23.311077 INFO::Creating boxplot for categorical data, diagnosis vs F158
## 2024-09-24 04:02:23.420062 INFO::Creating boxplot for categorical data, diagnosis vs F477
## 2024-09-24 04:02:23.530338 INFO::Creating boxplot for categorical data, diagnosis vs F1
## 2024-09-24 04:02:23.647535 INFO::Creating boxplot for categorical data, diagnosis vs F862
## 2024-09-24 04:02:23.756185 INFO::Creating boxplot for categorical data, diagnosis vs F803
## 2024-09-24 04:02:23.863744 INFO::Creating boxplot for categorical data, diagnosis vs F751
## 2024-09-24 04:02:23.977201 INFO::Creating boxplot for categorical data, diagnosis vs F98
## 2024-09-24 04:02:24.085462 INFO::Creating boxplot for categorical data, diagnosis vs F22
## 2024-09-24 04:02:24.203283 INFO::Creating boxplot for categorical data, diagnosis vs F625
## 2024-09-24 04:02:24.311204 INFO::Creating boxplot for categorical data, diagnosis vs F206
## 2024-09-24 04:02:24.418928 INFO::Creating boxplot for categorical data, diagnosis vs F779
## 2024-09-24 04:02:24.525858 INFO::Creating boxplot for categorical data, diagnosis vs F532
## 2024-09-24 04:02:24.635152 INFO::Creating boxplot for categorical data, diagnosis vs F676
## 2024-09-24 04:02:24.744436 INFO::Creating boxplot for categorical data, diagnosis vs F644
## 2024-09-24 04:02:24.863751 INFO::Creating boxplot for categorical data, diagnosis vs F7
## 2024-09-24 04:02:24.971875 INFO::Creating boxplot for categorical data, diagnosis vs F596
## 2024-09-24 04:02:25.084179 INFO::Creating boxplot for categorical data, diagnosis vs F250
## 2024-09-24 04:02:25.192312 INFO::Creating boxplot for categorical data, diagnosis vs F462
## 2024-09-24 04:02:25.30087 INFO::Creating boxplot for categorical data, diagnosis vs F516
## 2024-09-24 04:02:25.419491 INFO::Creating boxplot for categorical data, diagnosis vs F659
## 2024-09-24 04:02:25.527265 INFO::Creating boxplot for categorical data, diagnosis vs F663
## 2024-09-24 04:02:25.638688 INFO::Creating boxplot for categorical data, diagnosis vs F837
## 2024-09-24 04:02:25.750342 INFO::Creating boxplot for categorical data, diagnosis vs F138
## 2024-09-24 04:02:25.85991 INFO::Creating boxplot for categorical data, diagnosis vs F445
## 2024-09-24 04:02:25.974043 INFO::Creating boxplot for categorical data, diagnosis vs F697
## 2024-09-24 04:02:26.092081 INFO::Creating boxplot for categorical data, diagnosis vs F225
## 2024-09-24 04:02:26.200894 INFO::Creating boxplot for categorical data, diagnosis vs F148
## 2024-09-24 04:02:26.310035 INFO::Creating boxplot for categorical data, diagnosis vs F448
## 2024-09-24 04:02:26.418071 INFO::Creating boxplot for categorical data, diagnosis vs F91
## 2024-09-24 04:02:26.526015 INFO::Creating boxplot for categorical data, diagnosis vs F123
## 2024-09-24 04:02:26.634618 INFO::Creating boxplot for categorical data, diagnosis vs F665
## 2024-09-24 04:02:26.752268 INFO::Creating boxplot for categorical data, diagnosis vs F845
## 2024-09-24 04:02:26.860156 INFO::Creating boxplot for categorical data, diagnosis vs F331
## 2024-09-24 04:02:26.974608 INFO::Creating boxplot for categorical data, diagnosis vs F361
## 2024-09-24 04:02:27.083407 INFO::Creating boxplot for categorical data, diagnosis vs F421
## 2024-09-24 04:02:27.192821 INFO::Creating boxplot for categorical data, diagnosis vs F277
## 2024-09-24 04:02:27.311582 INFO::Creating boxplot for categorical data, diagnosis vs F307
## 2024-09-24 04:02:27.419225 INFO::Creating boxplot for categorical data, diagnosis vs F503
## 2024-09-24 04:02:27.529594 INFO::Creating boxplot for categorical data, diagnosis vs F34
## 2024-09-24 04:02:27.638574 INFO::Creating boxplot for categorical data, diagnosis vs F649
## 2024-09-24 04:02:27.750244 INFO::Creating boxplot for categorical data, diagnosis vs F825
## 2024-09-24 04:02:27.860356 INFO::Creating boxplot for categorical data, diagnosis vs F298
## 2024-09-24 04:02:27.992943 INFO::Creating boxplot for categorical data, diagnosis vs F461
## 2024-09-24 04:02:28.103507 INFO::Creating boxplot for categorical data, diagnosis vs F242
## 2024-09-24 04:02:28.214468 INFO::Creating boxplot for categorical data, diagnosis vs F375
## 2024-09-24 04:02:28.324174 INFO::Creating boxplot for categorical data, diagnosis vs F648
## 2024-09-24 04:02:28.436718 INFO::Creating boxplot for categorical data, diagnosis vs F724
## 2024-09-24 04:02:28.557837 INFO::Creating boxplot for categorical data, diagnosis vs F678
## 2024-09-24 04:02:28.666454 INFO::Creating boxplot for categorical data, diagnosis vs F290
## 2024-09-24 04:02:28.775923 INFO::Creating boxplot for categorical data, diagnosis vs F743
## 2024-09-24 04:02:28.886464 INFO::Creating boxplot for categorical data, diagnosis vs F495
## 2024-09-24 04:02:29.002745 INFO::Creating boxplot for categorical data, diagnosis vs F261
## 2024-09-24 04:02:29.112619 INFO::Creating boxplot for categorical data, diagnosis vs F43
## 2024-09-24 04:02:29.231949 INFO::Creating boxplot for categorical data, diagnosis vs F714
## 2024-09-24 04:02:29.342191 INFO::Creating boxplot for categorical data, diagnosis vs F131
## 2024-09-24 04:02:29.450235 INFO::Creating boxplot for categorical data, diagnosis vs F150
## 2024-09-24 04:02:29.559521 INFO::Creating boxplot for categorical data, diagnosis vs F651
## 2024-09-24 04:02:29.672938 INFO::Creating boxplot for categorical data, diagnosis vs F798
## 2024-09-24 04:02:29.834952 INFO::Creating boxplot for categorical data, diagnosis vs F289
## 2024-09-24 04:02:29.9451 INFO::Creating boxplot for categorical data, diagnosis vs F661
## 2024-09-24 04:02:30.058041 INFO::Creating boxplot for categorical data, diagnosis vs F199
## 2024-09-24 04:02:30.168454 INFO::Creating boxplot for categorical data, diagnosis vs F406
## 2024-09-24 04:02:30.27979 INFO::Creating boxplot for categorical data, diagnosis vs F139
## 2024-09-24 04:02:30.391394 INFO::Creating boxplot for categorical data, diagnosis vs F506
## 2024-09-24 04:02:30.513662 INFO::Creating boxplot for categorical data, diagnosis vs F552
## 2024-09-24 04:02:30.624948 INFO::Creating boxplot for categorical data, diagnosis vs F94
## 2024-09-24 04:02:30.734329 INFO::Creating boxplot for categorical data, diagnosis vs F430
## 2024-09-24 04:02:30.842854 INFO::Creating boxplot for categorical data, diagnosis vs F639
## 2024-09-24 04:02:30.951468 INFO::Creating boxplot for categorical data, diagnosis vs F500
## 2024-09-24 04:02:31.063468 INFO::Creating boxplot for categorical data, diagnosis vs F609
## 2024-09-24 04:02:31.18382 INFO::Creating boxplot for categorical data, diagnosis vs F306
## 2024-09-24 04:02:31.294999 INFO::Creating boxplot for categorical data, diagnosis vs F507
## 2024-09-24 04:02:31.40639 INFO::Creating boxplot for categorical data, diagnosis vs F671
## 2024-09-24 04:02:31.516761 INFO::Creating boxplot for categorical data, diagnosis vs F894
## 2024-09-24 04:02:31.624628 INFO::Creating boxplot for categorical data, diagnosis vs F345
## 2024-09-24 04:02:31.744266 INFO::Creating boxplot for categorical data, diagnosis vs F801
## 2024-09-24 04:02:31.854341 INFO::Creating boxplot for categorical data, diagnosis vs F194
## 2024-09-24 04:02:31.965751 INFO::Creating boxplot for categorical data, diagnosis vs F195
## 2024-09-24 04:02:32.081718 INFO::Creating boxplot for categorical data, diagnosis vs F119
## 2024-09-24 04:02:32.191897 INFO::Creating boxplot for categorical data, diagnosis vs F120
## 2024-09-24 04:02:32.302038 INFO::Creating boxplot for categorical data, diagnosis vs F231
## 2024-09-24 04:02:32.42325 INFO::Creating boxplot for categorical data, diagnosis vs F311
## 2024-09-24 04:02:32.534682 INFO::Creating boxplot for categorical data, diagnosis vs F646
## 2024-09-24 04:02:32.642898 INFO::Creating boxplot for categorical data, diagnosis vs F814
## 2024-09-24 04:02:32.752603 INFO::Creating boxplot for categorical data, diagnosis vs F510
## 2024-09-24 04:02:32.86307 INFO::Creating boxplot for categorical data, diagnosis vs F398
## 2024-09-24 04:02:32.971423 INFO::Creating boxplot for categorical data, diagnosis vs F60
## 2024-09-24 04:02:33.096384 INFO::Creating boxplot for categorical data, diagnosis vs F153
## 2024-09-24 04:02:33.20912 INFO::Creating boxplot for categorical data, diagnosis vs F858
## 2024-09-24 04:02:33.317663 INFO::Creating boxplot for categorical data, diagnosis vs F775
## 2024-09-24 04:02:33.425565 INFO::Creating boxplot for categorical data, diagnosis vs F684
## 2024-09-24 04:02:33.535518 INFO::Creating boxplot for categorical data, diagnosis vs F384
## 2024-09-24 04:02:33.658754 INFO::Creating boxplot for categorical data, diagnosis vs F134
## 2024-09-24 04:02:33.773013 INFO::Creating boxplot for categorical data, diagnosis vs F670
## 2024-09-24 04:02:33.88443 INFO::Creating boxplot for categorical data, diagnosis vs F632
## 2024-09-24 04:02:33.999697 INFO::Creating boxplot for categorical data, diagnosis vs F721
## 2024-09-24 04:02:34.111325 INFO::Creating boxplot for categorical data, diagnosis vs F700
## 2024-09-24 04:02:34.221711 INFO::Creating boxplot for categorical data, diagnosis vs F376
## 2024-09-24 04:02:34.341569 INFO::Creating boxplot for categorical data, diagnosis vs F301
## 2024-09-24 04:02:34.454264 INFO::Creating boxplot for categorical data, diagnosis vs F27
## 2024-09-24 04:02:34.56398 INFO::Creating boxplot for categorical data, diagnosis vs F280
## 2024-09-24 04:02:34.673213 INFO::Creating boxplot for categorical data, diagnosis vs F391
## 2024-09-24 04:02:34.781588 INFO::Creating boxplot for categorical data, diagnosis vs F725
## 2024-09-24 04:02:34.892342 INFO::Creating boxplot for categorical data, diagnosis vs F186
## 2024-09-24 04:02:35.018099 INFO::Creating boxplot for categorical data, diagnosis vs F481
## 2024-09-24 04:02:35.129655 INFO::Creating boxplot for categorical data, diagnosis vs F333
## 2024-09-24 04:02:35.240289 INFO::Creating boxplot for categorical data, diagnosis vs F720
## 2024-09-24 04:02:35.349327 INFO::Creating boxplot for categorical data, diagnosis vs F520
## 2024-09-24 04:02:35.462424 INFO::Creating boxplot for categorical data, diagnosis vs F129
## 2024-09-24 04:02:35.583768 INFO::Creating boxplot for categorical data, diagnosis vs F204
## 2024-09-24 04:02:35.696226 INFO::Creating boxplot for categorical data, diagnosis vs F259
## 2024-09-24 04:02:35.80851 INFO::Creating boxplot for categorical data, diagnosis vs F831
## 2024-09-24 04:02:35.921335 INFO::Creating boxplot for categorical data, diagnosis vs F891
## 2024-09-24 04:02:36.03124 INFO::Creating boxplot for categorical data, diagnosis vs F262
## 2024-09-24 04:02:36.142932 INFO::Creating boxplot for categorical data, diagnosis vs F592
## 2024-09-24 04:02:36.265878 INFO::Creating boxplot for categorical data, diagnosis vs F343
## 2024-09-24 04:02:36.377223 INFO::Creating boxplot for categorical data, diagnosis vs F505
## 2024-09-24 04:02:36.487865 INFO::Creating boxplot for categorical data, diagnosis vs F622
## 2024-09-24 04:02:36.598009 INFO::Creating boxplot for categorical data, diagnosis vs F348
## 2024-09-24 04:02:36.707773 INFO::Creating boxplot for categorical data, diagnosis vs F133
## 2024-09-24 04:02:36.818731 INFO::Creating boxplot for categorical data, diagnosis vs F371
## 2024-09-24 04:02:36.946434 INFO::Creating boxplot for categorical data, diagnosis vs F113
## 2024-09-24 04:02:37.055388 INFO::Creating boxplot for categorical data, diagnosis vs F336
## 2024-09-24 04:02:37.165674 INFO::Creating boxplot for categorical data, diagnosis vs F399
## 2024-09-24 04:02:37.276092 INFO::Creating boxplot for categorical data, diagnosis vs F416
## 2024-09-24 04:02:37.38908 INFO::Creating boxplot for categorical data, diagnosis vs F657
## 2024-09-24 04:02:37.513816 INFO::Creating boxplot for categorical data, diagnosis vs F241
## 2024-09-24 04:02:37.626241 INFO::Creating boxplot for categorical data, diagnosis vs F95
## 2024-09-24 04:02:37.737481 INFO::Creating boxplot for categorical data, diagnosis vs F128
## 2024-09-24 04:02:37.849616 INFO::Creating boxplot for categorical data, diagnosis vs F595
## 2024-09-24 04:02:37.961842 INFO::Creating boxplot for categorical data, diagnosis vs F428
## 2024-09-24 04:02:38.074863 INFO::Creating boxplot for categorical data, diagnosis vs F796
## 2024-09-24 04:02:38.202534 INFO::Creating boxplot for categorical data, diagnosis vs F709
## 2024-09-24 04:02:38.314523 INFO::Creating boxplot for categorical data, diagnosis vs F602
## 2024-09-24 04:02:38.425009 INFO::Creating boxplot for categorical data, diagnosis vs F293
## 2024-09-24 04:02:38.53503 INFO::Creating boxplot for categorical data, diagnosis vs F867
## 2024-09-24 04:02:38.646645 INFO::Creating boxplot for categorical data, diagnosis vs F108
## 2024-09-24 04:02:38.771089 INFO::Creating boxplot for categorical data, diagnosis vs F846
## 2024-09-24 04:02:38.885018 INFO::Creating boxplot for categorical data, diagnosis vs F633
## 2024-09-24 04:02:38.996673 INFO::Creating boxplot for categorical data, diagnosis vs F564
## 2024-09-24 04:02:39.110134 INFO::Creating boxplot for categorical data, diagnosis vs F183
## 2024-09-24 04:02:39.22239 INFO::Creating boxplot for categorical data, diagnosis vs F647
## 2024-09-24 04:02:39.338895 INFO::Creating boxplot for categorical data, diagnosis vs F288
## 2024-09-24 04:02:39.464288 INFO::Creating boxplot for categorical data, diagnosis vs F159
## 2024-09-24 04:02:39.576048 INFO::Creating boxplot for categorical data, diagnosis vs F638
## 2024-09-24 04:02:39.689906 INFO::Creating boxplot for categorical data, diagnosis vs F484
## 2024-09-24 04:02:39.803347 INFO::Creating boxplot for categorical data, diagnosis vs F20
## 2024-09-24 04:02:39.917628 INFO::Creating boxplot for categorical data, diagnosis vs F19
## 2024-09-24 04:02:40.047257 INFO::Creating boxplot for categorical data, diagnosis vs F897
## 2024-09-24 04:02:40.165349 INFO::Creating boxplot for categorical data, diagnosis vs F442
## 2024-09-24 04:02:40.28094 INFO::Creating boxplot for categorical data, diagnosis vs F372
## 2024-09-24 04:02:40.394529 INFO::Creating boxplot for categorical data, diagnosis vs F771
## 2024-09-24 04:02:40.507245 INFO::Creating boxplot for categorical data, diagnosis vs F370
## 2024-09-24 04:02:40.620161 INFO::Creating boxplot for categorical data, diagnosis vs F620
## 2024-09-24 04:02:40.746075 INFO::Creating boxplot for categorical data, diagnosis vs F753
## 2024-09-24 04:02:40.856095 INFO::Creating boxplot for categorical data, diagnosis vs F568
## 2024-09-24 04:02:40.967596 INFO::Creating boxplot for categorical data, diagnosis vs F312
## 2024-09-24 04:02:41.080862 INFO::Creating boxplot for categorical data, diagnosis vs F485
## 2024-09-24 04:02:41.194044 INFO::Creating boxplot for categorical data, diagnosis vs F627
## 2024-09-24 04:02:41.318777 INFO::Creating boxplot for categorical data, diagnosis vs F72
## 2024-09-24 04:02:41.433055 INFO::Creating boxplot for categorical data, diagnosis vs F575
## 2024-09-24 04:02:41.546067 INFO::Creating boxplot for categorical data, diagnosis vs F332
## 2024-09-24 04:02:41.658128 INFO::Creating boxplot for categorical data, diagnosis vs F674
## 2024-09-24 04:02:41.774127 INFO::Creating boxplot for categorical data, diagnosis vs F537
## 2024-09-24 04:02:41.888702 INFO::Creating boxplot for categorical data, diagnosis vs F839
## 2024-09-24 04:02:42.017929 INFO::Creating boxplot for categorical data, diagnosis vs F715
## 2024-09-24 04:02:42.131336 INFO::Creating boxplot for categorical data, diagnosis vs F768
## 2024-09-24 04:02:42.245843 INFO::Creating boxplot for categorical data, diagnosis vs F202
## 2024-09-24 04:02:42.360595 INFO::Creating boxplot for categorical data, diagnosis vs F756
## 2024-09-24 04:02:42.47179 INFO::Creating boxplot for categorical data, diagnosis vs F536
## 2024-09-24 04:02:42.598114 INFO::Creating boxplot for categorical data, diagnosis vs F677
## 2024-09-24 04:02:42.710248 INFO::Creating boxplot for categorical data, diagnosis vs F435
## 2024-09-24 04:02:42.822256 INFO::Creating boxplot for categorical data, diagnosis vs F574
## 2024-09-24 04:02:42.934087 INFO::Creating boxplot for categorical data, diagnosis vs F70
## 2024-09-24 04:02:43.046515 INFO::Creating boxplot for categorical data, diagnosis vs F146
## 2024-09-24 04:02:43.15913 INFO::Creating boxplot for categorical data, diagnosis vs F236
## 2024-09-24 04:02:43.317286 INFO::Creating boxplot for categorical data, diagnosis vs F527
## 2024-09-24 04:02:43.432557 INFO::Creating boxplot for categorical data, diagnosis vs F624
## 2024-09-24 04:02:43.547252 INFO::Creating boxplot for categorical data, diagnosis vs F426
## 2024-09-24 04:02:43.659931 INFO::Creating boxplot for categorical data, diagnosis vs F880
## 2024-09-24 04:02:43.770968 INFO::Creating boxplot for categorical data, diagnosis vs F549
## 2024-09-24 04:02:43.893617 INFO::Creating boxplot for categorical data, diagnosis vs F49
## 2024-09-24 04:02:44.014524 INFO::Creating boxplot for categorical data, diagnosis vs F67
## 2024-09-24 04:02:44.129474 INFO::Creating boxplot for categorical data, diagnosis vs F491
## 2024-09-24 04:02:44.242951 INFO::Creating boxplot for categorical data, diagnosis vs F174
## 2024-09-24 04:02:44.351039 INFO::Creating boxplot for categorical data, diagnosis vs F254
## 2024-09-24 04:02:44.461046 INFO::Creating boxplot for categorical data, diagnosis vs F112
## 2024-09-24 04:02:44.588751 INFO::Creating boxplot for categorical data, diagnosis vs F235
## 2024-09-24 04:02:44.699673 INFO::Creating boxplot for categorical data, diagnosis vs F833
## 2024-09-24 04:02:44.811989 INFO::Creating boxplot for categorical data, diagnosis vs F752
## 2024-09-24 04:02:44.922751 INFO::Creating boxplot for categorical data, diagnosis vs F792
## 2024-09-24 04:02:45.033268 INFO::Creating boxplot for categorical data, diagnosis vs F422
## 2024-09-24 04:02:45.143015 INFO::Creating boxplot for categorical data, diagnosis vs F6
## 2024-09-24 04:02:45.27569 INFO::Creating boxplot for categorical data, diagnosis vs F463
## 2024-09-24 04:02:45.387101 INFO::Creating boxplot for categorical data, diagnosis vs F706
## 2024-09-24 04:02:45.498482 INFO::Creating boxplot for categorical data, diagnosis vs F642
## 2024-09-24 04:02:45.608632 INFO::Creating boxplot for categorical data, diagnosis vs F65
## 2024-09-24 04:02:45.718884 INFO::Creating boxplot for categorical data, diagnosis vs F102
## 2024-09-24 04:02:45.829049 INFO::Creating boxplot for categorical data, diagnosis vs F783
## 2024-09-24 04:02:45.959612 INFO::Creating boxplot for categorical data, diagnosis vs F478
## 2024-09-24 04:02:46.072728 INFO::Creating boxplot for categorical data, diagnosis vs F889
## 2024-09-24 04:02:46.184925 INFO::Creating boxplot for categorical data, diagnosis vs F350
## 2024-09-24 04:02:46.29357 INFO::Creating boxplot for categorical data, diagnosis vs F681
## 2024-09-24 04:02:46.402031 INFO::Creating boxplot for categorical data, diagnosis vs F748
## 2024-09-24 04:02:46.531796 INFO::Creating boxplot for categorical data, diagnosis vs F762
## 2024-09-24 04:02:46.644951 INFO::Creating boxplot for categorical data, diagnosis vs F852
## 2024-09-24 04:02:46.755083 INFO::Creating boxplot for categorical data, diagnosis vs F180
## 2024-09-24 04:02:46.865242 INFO::Creating boxplot for categorical data, diagnosis vs F248
## 2024-09-24 04:02:46.973933 INFO::Creating boxplot for categorical data, diagnosis vs F759
## 2024-09-24 04:02:47.083636 INFO::Creating boxplot for categorical data, diagnosis vs F824
## 2024-09-24 04:02:47.213826 INFO::Creating boxplot for categorical data, diagnosis vs F145
## 2024-09-24 04:02:47.326661 INFO::Creating boxplot for categorical data, diagnosis vs F16
## 2024-09-24 04:02:47.438714 INFO::Creating boxplot for categorical data, diagnosis vs F169
## 2024-09-24 04:02:47.548614 INFO::Creating boxplot for categorical data, diagnosis vs F392
## 2024-09-24 04:02:47.659687 INFO::Creating boxplot for categorical data, diagnosis vs F468
## 2024-09-24 04:02:47.772609 INFO::Creating boxplot for categorical data, diagnosis vs F476
## 2024-09-24 04:02:47.902507 INFO::Creating boxplot for categorical data, diagnosis vs F699
## 2024-09-24 04:02:48.015256 INFO::Creating boxplot for categorical data, diagnosis vs F735
## 2024-09-24 04:02:48.124661 INFO::Creating boxplot for categorical data, diagnosis vs F182
## 2024-09-24 04:02:48.236083 INFO::Creating boxplot for categorical data, diagnosis vs F64
## 2024-09-24 04:02:48.344735 INFO::Creating boxplot for categorical data, diagnosis vs F203
## 2024-09-24 04:02:48.475219 INFO::Creating boxplot for categorical data, diagnosis vs F877
## 2024-09-24 04:02:48.587559 INFO::Creating boxplot for categorical data, diagnosis vs F433
## 2024-09-24 04:02:48.699901 INFO::Creating boxplot for categorical data, diagnosis vs F739
## 2024-09-24 04:02:48.811749 INFO::Creating boxplot for categorical data, diagnosis vs F749
## 2024-09-24 04:02:48.920755 INFO::Creating boxplot for categorical data, diagnosis vs F382
## 2024-09-24 04:02:49.031397 INFO::Creating boxplot for categorical data, diagnosis vs F162
## 2024-09-24 04:02:49.161617 INFO::Creating boxplot for categorical data, diagnosis vs F438
## 2024-09-24 04:02:49.273221 INFO::Creating boxplot for categorical data, diagnosis vs F360
## 2024-09-24 04:02:49.385007 INFO::Creating boxplot for categorical data, diagnosis vs F56
## 2024-09-24 04:02:49.496761 INFO::Creating boxplot for categorical data, diagnosis vs F529
## 2024-09-24 04:02:49.609239 INFO::Creating boxplot for categorical data, diagnosis vs F48
## 2024-09-24 04:02:49.738085 INFO::Creating boxplot for categorical data, diagnosis vs F826
## 2024-09-24 04:02:49.852756 INFO::Creating boxplot for categorical data, diagnosis vs F488
## 2024-09-24 04:02:49.966807 INFO::Creating boxplot for categorical data, diagnosis vs F309
## 2024-09-24 04:02:50.078103 INFO::Creating boxplot for categorical data, diagnosis vs F834
## 2024-09-24 04:02:50.18721 INFO::Creating boxplot for categorical data, diagnosis vs F449
## 2024-09-24 04:02:50.298711 INFO::Creating boxplot for categorical data, diagnosis vs F77
## 2024-09-24 04:02:50.42551 INFO::Creating boxplot for categorical data, diagnosis vs F365
## 2024-09-24 04:02:50.538615 INFO::Creating boxplot for categorical data, diagnosis vs F346
## 2024-09-24 04:02:50.650887 INFO::Creating boxplot for categorical data, diagnosis vs F654
## 2024-09-24 04:02:50.762438 INFO::Creating boxplot for categorical data, diagnosis vs F79
## 2024-09-24 04:02:50.875398 INFO::Creating boxplot for categorical data, diagnosis vs F785
## 2024-09-24 04:02:51.002329 INFO::Creating boxplot for categorical data, diagnosis vs F415
## 2024-09-24 04:02:51.12572 INFO::Creating boxplot for categorical data, diagnosis vs F466
## 2024-09-24 04:02:51.241774 INFO::Creating boxplot for categorical data, diagnosis vs F643
## 2024-09-24 04:02:51.354283 INFO::Creating boxplot for categorical data, diagnosis vs F160
## 2024-09-24 04:02:51.465157 INFO::Creating boxplot for categorical data, diagnosis vs F69
## 2024-09-24 04:02:51.576867 INFO::Creating boxplot for categorical data, diagnosis vs F498
## 2024-09-24 04:02:51.707118 INFO::Creating boxplot for categorical data, diagnosis vs F207
## 2024-09-24 04:02:51.820839 INFO::Creating boxplot for categorical data, diagnosis vs F679
## 2024-09-24 04:02:51.930164 INFO::Creating boxplot for categorical data, diagnosis vs F618
## 2024-09-24 04:02:52.0414 INFO::Creating boxplot for categorical data, diagnosis vs F255
## 2024-09-24 04:02:52.153994 INFO::Creating boxplot for categorical data, diagnosis vs F267
## 2024-09-24 04:02:52.268174 INFO::Creating boxplot for categorical data, diagnosis vs F143
## 2024-09-24 04:02:52.398214 INFO::Creating boxplot for categorical data, diagnosis vs F286
## 2024-09-24 04:02:52.511853 INFO::Creating boxplot for categorical data, diagnosis vs F562
## 2024-09-24 04:02:52.621107 INFO::Creating boxplot for categorical data, diagnosis vs F100
## 2024-09-24 04:02:52.732093 INFO::Creating boxplot for categorical data, diagnosis vs F374
## 2024-09-24 04:02:52.843676 INFO::Creating boxplot for categorical data, diagnosis vs F535
## 2024-09-24 04:02:52.974668 INFO::Creating boxplot for categorical data, diagnosis vs F658
## 2024-09-24 04:02:53.085913 INFO::Creating boxplot for categorical data, diagnosis vs F707
## 2024-09-24 04:02:53.196637 INFO::Creating boxplot for categorical data, diagnosis vs F325
## 2024-09-24 04:02:53.305747 INFO::Creating boxplot for categorical data, diagnosis vs F89
## 2024-09-24 04:02:53.416031 INFO::Creating boxplot for categorical data, diagnosis vs F214
## 2024-09-24 04:02:53.526837 INFO::Creating boxplot for categorical data, diagnosis vs F578
## 2024-09-24 04:02:53.655215 INFO::Creating boxplot for categorical data, diagnosis vs F790
## 2024-09-24 04:02:53.768274 INFO::Creating boxplot for categorical data, diagnosis vs F265
## 2024-09-24 04:02:53.879614 INFO::Creating boxplot for categorical data, diagnosis vs F253
## 2024-09-24 04:02:53.988259 INFO::Creating boxplot for categorical data, diagnosis vs F294
## 2024-09-24 04:02:54.097752 INFO::Creating boxplot for categorical data, diagnosis vs F410
## 2024-09-24 04:02:54.231524 INFO::Creating boxplot for categorical data, diagnosis vs F614
## 2024-09-24 04:02:54.343453 INFO::Creating boxplot for categorical data, diagnosis vs F764
## 2024-09-24 04:02:54.455133 INFO::Creating boxplot for categorical data, diagnosis vs F59
## 2024-09-24 04:02:54.564591 INFO::Creating boxplot for categorical data, diagnosis vs F675
## 2024-09-24 04:02:54.673992 INFO::Creating boxplot for categorical data, diagnosis vs F441
## 2024-09-24 04:02:54.787834 INFO::Creating boxplot for categorical data, diagnosis vs F193
## 2024-09-24 04:02:54.919907 INFO::Creating boxplot for categorical data, diagnosis vs F689
## 2024-09-24 04:02:55.03376 INFO::Creating boxplot for categorical data, diagnosis vs F249
## 2024-09-24 04:02:55.142141 INFO::Creating boxplot for categorical data, diagnosis vs F821
## 2024-09-24 04:02:55.25457 INFO::Creating boxplot for categorical data, diagnosis vs F351
## 2024-09-24 04:02:55.366609 INFO::Creating boxplot for categorical data, diagnosis vs F66
## 2024-09-24 04:02:55.497844 INFO::Creating boxplot for categorical data, diagnosis vs F413
## 2024-09-24 04:02:55.606971 INFO::Creating boxplot for categorical data, diagnosis vs F172
## 2024-09-24 04:02:55.717206 INFO::Creating boxplot for categorical data, diagnosis vs F317
## 2024-09-24 04:02:55.845376 INFO::Creating boxplot for categorical data, diagnosis vs F167
## 2024-09-24 04:02:55.961303 INFO::Creating boxplot for categorical data, diagnosis vs F229
## 2024-09-24 04:02:56.08689 INFO::Creating boxplot for categorical data, diagnosis vs F243
## 2024-09-24 04:02:56.208755 INFO::Creating boxplot for categorical data, diagnosis vs F732
## 2024-09-24 04:02:56.323238 INFO::Creating boxplot for categorical data, diagnosis vs F467
## 2024-09-24 04:02:56.432467 INFO::Creating boxplot for categorical data, diagnosis vs F474
## 2024-09-24 04:02:56.543376 INFO::Creating boxplot for categorical data, diagnosis vs F156
## 2024-09-24 04:02:56.65611 INFO::Creating boxplot for categorical data, diagnosis vs F786
## 2024-09-24 04:02:57.313458 INFO::Creating boxplot for categorical data, diagnosis vs F216
## 2024-09-24 04:02:57.422316 INFO::Creating boxplot for categorical data, diagnosis vs F85
## 2024-09-24 04:02:57.529227 INFO::Creating boxplot for categorical data, diagnosis vs F621
## 2024-09-24 04:02:57.638545 INFO::Creating boxplot for categorical data, diagnosis vs F558
## 2024-09-24 04:02:57.749177 INFO::Creating boxplot for categorical data, diagnosis vs F582
## 2024-09-24 04:02:57.858608 INFO::Creating boxplot for categorical data, diagnosis vs F898
## 2024-09-24 04:02:57.973884 INFO::Creating boxplot for categorical data, diagnosis vs F402
## 2024-09-24 04:02:58.08358 INFO::Creating boxplot for categorical data, diagnosis vs F71
## 2024-09-24 04:02:58.189158 INFO::Creating boxplot for categorical data, diagnosis vs F99
## 2024-09-24 04:02:58.297716 INFO::Creating boxplot for categorical data, diagnosis vs F366
## 2024-09-24 04:02:58.407664 INFO::Creating boxplot for categorical data, diagnosis vs F778
## 2024-09-24 04:02:58.520782 INFO::Creating boxplot for categorical data, diagnosis vs F188
## 2024-09-24 04:02:58.627686 INFO::Creating boxplot for categorical data, diagnosis vs F857
## 2024-09-24 04:02:58.734 INFO::Creating boxplot for categorical data, diagnosis vs F440
## 2024-09-24 04:02:58.843507 INFO::Creating boxplot for categorical data, diagnosis vs F799
## 2024-09-24 04:02:58.952232 INFO::Creating boxplot for categorical data, diagnosis vs F482
## 2024-09-24 04:02:59.058498 INFO::Creating boxplot for categorical data, diagnosis vs F212
## 2024-09-24 04:02:59.171388 INFO::Creating boxplot for categorical data, diagnosis vs F882
## 2024-09-24 04:02:59.278149 INFO::Creating boxplot for categorical data, diagnosis vs F599
## 2024-09-24 04:02:59.388791 INFO::Creating boxplot for categorical data, diagnosis vs F302
## 2024-09-24 04:02:59.49489 INFO::Creating boxplot for categorical data, diagnosis vs F543
## 2024-09-24 04:02:59.60209 INFO::Creating boxplot for categorical data, diagnosis vs F269
## 2024-09-24 04:02:59.709492 INFO::Creating boxplot for categorical data, diagnosis vs F650
## 2024-09-24 04:02:59.824805 INFO::Creating boxplot for categorical data, diagnosis vs F456
## 2024-09-24 04:02:59.929075 INFO::Creating boxplot for categorical data, diagnosis vs F573
## 2024-09-24 04:03:00.036926 INFO::Creating boxplot for categorical data, diagnosis vs F8
## 2024-09-24 04:03:00.145228 INFO::Creating boxplot for categorical data, diagnosis vs F810
## 2024-09-24 04:03:00.25115 INFO::Creating boxplot for categorical data, diagnosis vs F401
## 2024-09-24 04:03:00.358189 INFO::Creating boxplot for categorical data, diagnosis vs F606
## 2024-09-24 04:03:00.475116 INFO::Creating boxplot for categorical data, diagnosis vs F662
## 2024-09-24 04:03:00.580977 INFO::Creating boxplot for categorical data, diagnosis vs F765
## 2024-09-24 04:03:00.686796 INFO::Creating boxplot for categorical data, diagnosis vs F887
## 2024-09-24 04:03:00.792689 INFO::Creating boxplot for categorical data, diagnosis vs F770
## 2024-09-24 04:03:00.897864 INFO::Creating boxplot for categorical data, diagnosis vs F469
## 2024-09-24 04:03:01.013042 INFO::Creating boxplot for categorical data, diagnosis vs F86
## 2024-09-24 04:03:01.119702 INFO::Creating boxplot for categorical data, diagnosis vs F400
## 2024-09-24 04:03:01.225182 INFO::Creating boxplot for categorical data, diagnosis vs F579
## 2024-09-24 04:03:01.338687 INFO::Creating boxplot for categorical data, diagnosis vs F871
## 2024-09-24 04:03:01.444794 INFO::Creating boxplot for categorical data, diagnosis vs F37
## 2024-09-24 04:03:01.549752 INFO::Creating boxplot for categorical data, diagnosis vs F446
## 2024-09-24 04:03:01.664241 INFO::Creating boxplot for categorical data, diagnosis vs F218
## 2024-09-24 04:03:01.769398 INFO::Creating boxplot for categorical data, diagnosis vs F321
## 2024-09-24 04:03:01.874281 INFO::Creating boxplot for categorical data, diagnosis vs F487
## 2024-09-24 04:03:01.981788 INFO::Creating boxplot for categorical data, diagnosis vs F740
## 2024-09-24 04:03:02.088047 INFO::Creating boxplot for categorical data, diagnosis vs F141
## 2024-09-24 04:03:02.193457 INFO::Creating boxplot for categorical data, diagnosis vs F327
## 2024-09-24 04:03:02.305532 INFO::Creating boxplot for categorical data, diagnosis vs F196
## 2024-09-24 04:03:02.415547 INFO::Creating boxplot for categorical data, diagnosis vs F883
## 2024-09-24 04:03:02.5229 INFO::Creating boxplot for categorical data, diagnosis vs F279
## 2024-09-24 04:03:02.629784 INFO::Creating boxplot for categorical data, diagnosis vs F838
## 2024-09-24 04:03:02.736694 INFO::Creating boxplot for categorical data, diagnosis vs F451
## 2024-09-24 04:03:02.853061 INFO::Creating boxplot for categorical data, diagnosis vs F854
## 2024-09-24 04:03:02.95778 INFO::Creating boxplot for categorical data, diagnosis vs F434
## 2024-09-24 04:03:03.063148 INFO::Creating boxplot for categorical data, diagnosis vs F519
## 2024-09-24 04:03:03.169002 INFO::Creating boxplot for categorical data, diagnosis vs F694
## 2024-09-24 04:03:03.283473 INFO::Creating boxplot for categorical data, diagnosis vs F561
## 2024-09-24 04:03:03.390653 INFO::Creating boxplot for categorical data, diagnosis vs F10
## 2024-09-24 04:03:03.505924 INFO::Creating boxplot for categorical data, diagnosis vs F303
## 2024-09-24 04:03:03.609796 INFO::Creating boxplot for categorical data, diagnosis vs F512
## 2024-09-24 04:03:03.716064 INFO::Creating boxplot for categorical data, diagnosis vs F645
## 2024-09-24 04:03:03.821707 INFO::Creating boxplot for categorical data, diagnosis vs F793
## 2024-09-24 04:03:03.928325 INFO::Creating boxplot for categorical data, diagnosis vs F404
## 2024-09-24 04:03:04.034031 INFO::Creating boxplot for categorical data, diagnosis vs F362
## 2024-09-24 04:03:04.152311 INFO::Creating boxplot for categorical data, diagnosis vs F525
## 2024-09-24 04:03:04.26677 INFO::Creating boxplot for categorical data, diagnosis vs F742
## 2024-09-24 04:03:04.404712 INFO::Creating boxplot for categorical data, diagnosis vs F276
## 2024-09-24 04:03:04.518071 INFO::Creating boxplot for categorical data, diagnosis vs F499
## 2024-09-24 04:03:04.624632 INFO::Creating boxplot for categorical data, diagnosis vs F328
## 2024-09-24 04:03:04.741734 INFO::Creating boxplot for categorical data, diagnosis vs F787
## 2024-09-24 04:03:04.848596 INFO::Creating boxplot for categorical data, diagnosis vs F30
## 2024-09-24 04:03:04.955213 INFO::Creating boxplot for categorical data, diagnosis vs F122
## 2024-09-24 04:03:05.062703 INFO::Creating boxplot for categorical data, diagnosis vs F619
## 2024-09-24 04:03:05.169868 INFO::Creating boxplot for categorical data, diagnosis vs F572
## 2024-09-24 04:03:05.277436 INFO::Creating boxplot for categorical data, diagnosis vs F47
## 2024-09-24 04:03:05.391732 INFO::Creating boxplot for categorical data, diagnosis vs F570
## 2024-09-24 04:03:05.496596 INFO::Creating boxplot for categorical data, diagnosis vs F26
## 2024-09-24 04:03:05.602448 INFO::Creating boxplot for categorical data, diagnosis vs F252
## 2024-09-24 04:03:05.709427 INFO::Creating boxplot for categorical data, diagnosis vs F117
## 2024-09-24 04:03:05.815163 INFO::Creating boxplot for categorical data, diagnosis vs F683
## 2024-09-24 04:03:05.930444 INFO::Creating boxplot for categorical data, diagnosis vs F395
## 2024-09-24 04:03:06.036562 INFO::Creating boxplot for categorical data, diagnosis vs F822
## 2024-09-24 04:03:06.144209 INFO::Creating boxplot for categorical data, diagnosis vs F46
## 2024-09-24 04:03:06.250937 INFO::Creating boxplot for categorical data, diagnosis vs F154
## 2024-09-24 04:03:06.357714 INFO::Creating boxplot for categorical data, diagnosis vs F540
## 2024-09-24 04:03:06.466948 INFO::Creating boxplot for categorical data, diagnosis vs F884
## 2024-09-24 04:03:06.58383 INFO::Creating boxplot for categorical data, diagnosis vs F368
## 2024-09-24 04:03:06.68967 INFO::Creating boxplot for categorical data, diagnosis vs F607
## 2024-09-24 04:03:06.796004 INFO::Creating boxplot for categorical data, diagnosis vs F111
## 2024-09-24 04:03:06.903191 INFO::Creating boxplot for categorical data, diagnosis vs F745
## 2024-09-24 04:03:07.009156 INFO::Creating boxplot for categorical data, diagnosis vs F673
## 2024-09-24 04:03:07.117108 INFO::Creating boxplot for categorical data, diagnosis vs F92
## 2024-09-24 04:03:07.231442 INFO::Creating boxplot for categorical data, diagnosis vs F493
## 2024-09-24 04:03:07.336873 INFO::Creating boxplot for categorical data, diagnosis vs F835
## 2024-09-24 04:03:07.4447 INFO::Creating boxplot for categorical data, diagnosis vs F872
## 2024-09-24 04:03:07.553693 INFO::Creating boxplot for categorical data, diagnosis vs F879
## 2024-09-24 04:03:07.658793 INFO::Creating boxplot for categorical data, diagnosis vs F432
## 2024-09-24 04:03:07.775917 INFO::Creating boxplot for categorical data, diagnosis vs F518
## 2024-09-24 04:03:07.879728 INFO::Creating boxplot for categorical data, diagnosis vs F44
## 2024-09-24 04:03:07.983986 INFO::Creating boxplot for categorical data, diagnosis vs F240
## 2024-09-24 04:03:08.089748 INFO::Creating boxplot for categorical data, diagnosis vs F819
## 2024-09-24 04:03:08.197958 INFO::Creating boxplot for categorical data, diagnosis vs F411
## 2024-09-24 04:03:08.305674 INFO::Creating boxplot for categorical data, diagnosis vs F353
## 2024-09-24 04:03:08.420038 INFO::Creating boxplot for categorical data, diagnosis vs F763
## 2024-09-24 04:03:08.527205 INFO::Creating boxplot for categorical data, diagnosis vs F97
## 2024-09-24 04:03:08.632715 INFO::Creating boxplot for categorical data, diagnosis vs F40
## 2024-09-24 04:03:08.739616 INFO::Creating boxplot for categorical data, diagnosis vs F652
## 2024-09-24 04:03:08.847262 INFO::Creating boxplot for categorical data, diagnosis vs F789
## 2024-09-24 04:03:08.963873 INFO::Creating boxplot for categorical data, diagnosis vs F25
## 2024-09-24 04:03:09.068275 INFO::Creating boxplot for categorical data, diagnosis vs F256
## 2024-09-24 04:03:09.174814 INFO::Creating boxplot for categorical data, diagnosis vs F423
## 2024-09-24 04:03:09.282824 INFO::Creating boxplot for categorical data, diagnosis vs F594
## 2024-09-24 04:03:09.389875 INFO::Creating boxplot for categorical data, diagnosis vs F201
## 2024-09-24 04:03:09.497687 INFO::Creating boxplot for categorical data, diagnosis vs F813
## 2024-09-24 04:03:09.612954 INFO::Creating boxplot for categorical data, diagnosis vs F653
## 2024-09-24 04:03:09.717838 INFO::Creating boxplot for categorical data, diagnosis vs F524
## 2024-09-24 04:03:09.823165 INFO::Creating boxplot for categorical data, diagnosis vs F777
## 2024-09-24 04:03:09.929676 INFO::Creating boxplot for categorical data, diagnosis vs F226
## 2024-09-24 04:03:10.03644 INFO::Creating boxplot for categorical data, diagnosis vs F227
## 2024-09-24 04:03:10.177509 INFO::Creating boxplot for categorical data, diagnosis vs F521
## 2024-09-24 04:03:10.28553 INFO::Creating boxplot for categorical data, diagnosis vs F14
## 2024-09-24 04:03:10.391831 INFO::Creating boxplot for categorical data, diagnosis vs F310
## 2024-09-24 04:03:10.499066 INFO::Creating boxplot for categorical data, diagnosis vs F452
## 2024-09-24 04:03:10.606341 INFO::Creating boxplot for categorical data, diagnosis vs F52
## 2024-09-24 04:03:10.713269 INFO::Creating boxplot for categorical data, diagnosis vs F53
## 2024-09-24 04:03:10.837043 INFO::Creating boxplot for categorical data, diagnosis vs F844
## 2024-09-24 04:03:10.944611 INFO::Creating boxplot for categorical data, diagnosis vs F31
## 2024-09-24 04:03:11.051465 INFO::Creating boxplot for categorical data, diagnosis vs F795
## 2024-09-24 04:03:11.161763 INFO::Creating boxplot for categorical data, diagnosis vs F766
## 2024-09-24 04:03:11.268601 INFO::Creating boxplot for categorical data, diagnosis vs F342
## 2024-09-24 04:03:11.376055 INFO::Creating boxplot for categorical data, diagnosis vs F408
## 2024-09-24 04:03:11.500345 INFO::Creating boxplot for categorical data, diagnosis vs F282
## 2024-09-24 04:03:11.607481 INFO::Creating boxplot for categorical data, diagnosis vs F508
## 2024-09-24 04:03:11.714635 INFO::Creating boxplot for categorical data, diagnosis vs F805
## 2024-09-24 04:03:11.822181 INFO::Creating boxplot for categorical data, diagnosis vs F337
## 2024-09-24 04:03:11.930979 INFO::Creating boxplot for categorical data, diagnosis vs F820
## 2024-09-24 04:03:12.052215 INFO::Creating boxplot for categorical data, diagnosis vs F593
## 2024-09-24 04:03:12.162395 INFO::Creating boxplot for categorical data, diagnosis vs F701
## 2024-09-24 04:03:12.26971 INFO::Creating boxplot for categorical data, diagnosis vs F459
## 2024-09-24 04:03:12.376458 INFO::Creating boxplot for categorical data, diagnosis vs F305
## 2024-09-24 04:03:12.483437 INFO::Creating boxplot for categorical data, diagnosis vs F142
## 2024-09-24 04:03:12.591269 INFO::Creating boxplot for categorical data, diagnosis vs F534
## 2024-09-24 04:03:12.714248 INFO::Creating boxplot for categorical data, diagnosis vs F135
## 2024-09-24 04:03:12.82248 INFO::Creating boxplot for categorical data, diagnosis vs F702
## 2024-09-24 04:03:12.929321 INFO::Creating boxplot for categorical data, diagnosis vs F776
## 2024-09-24 04:03:13.03698 INFO::Creating boxplot for categorical data, diagnosis vs F295
## 2024-09-24 04:03:13.145111 INFO::Creating boxplot for categorical data, diagnosis vs F355
## 2024-09-24 04:03:13.250547 INFO::Creating boxplot for categorical data, diagnosis vs F797
## 2024-09-24 04:03:13.373485 INFO::Creating boxplot for categorical data, diagnosis vs F13
## 2024-09-24 04:03:13.479971 INFO::Creating boxplot for categorical data, diagnosis vs F356
## 2024-09-24 04:03:13.591028 INFO::Creating boxplot for categorical data, diagnosis vs F359
## 2024-09-24 04:03:13.696344 INFO::Creating boxplot for categorical data, diagnosis vs F121
## 2024-09-24 04:03:13.803391 INFO::Creating boxplot for categorical data, diagnosis vs F850
## 2024-09-24 04:03:13.925197 INFO::Creating boxplot for categorical data, diagnosis vs F899
## 2024-09-24 04:03:14.035414 INFO::Creating boxplot for categorical data, diagnosis vs F628
## 2024-09-24 04:03:14.140511 INFO::Creating boxplot for categorical data, diagnosis vs F843
## 2024-09-24 04:03:14.246749 INFO::Creating boxplot for categorical data, diagnosis vs F107
## 2024-09-24 04:03:14.352684 INFO::Creating boxplot for categorical data, diagnosis vs F287
## 2024-09-24 04:03:14.460515 INFO::Creating boxplot for categorical data, diagnosis vs F165
## 2024-09-24 04:03:14.581925 INFO::Creating boxplot for categorical data, diagnosis vs F557
## 2024-09-24 04:03:14.690242 INFO::Creating boxplot for categorical data, diagnosis vs F127
## 2024-09-24 04:03:14.796167 INFO::Creating boxplot for categorical data, diagnosis vs F299
## 2024-09-24 04:03:14.905001 INFO::Creating boxplot for categorical data, diagnosis vs F497
## 2024-09-24 04:03:15.012979 INFO::Creating boxplot for categorical data, diagnosis vs F711
## 2024-09-24 04:03:15.120433 INFO::Creating boxplot for categorical data, diagnosis vs F319
## 2024-09-24 04:03:15.241837 INFO::Creating boxplot for categorical data, diagnosis vs F271
## 2024-09-24 04:03:15.347035 INFO::Creating boxplot for categorical data, diagnosis vs F157
## 2024-09-24 04:03:15.452887 INFO::Creating boxplot for categorical data, diagnosis vs F560
## 2024-09-24 04:03:15.560583 INFO::Creating boxplot for categorical data, diagnosis vs F680
## 2024-09-24 04:03:15.672795 INFO::Creating boxplot for categorical data, diagnosis vs F580
## 2024-09-24 04:03:15.794661 INFO::Creating boxplot for categorical data, diagnosis vs F152
## 2024-09-24 04:03:15.902827 INFO::Creating boxplot for categorical data, diagnosis vs F12
## 2024-09-24 04:03:16.008865 INFO::Creating boxplot for categorical data, diagnosis vs F324
## 2024-09-24 04:03:16.116466 INFO::Creating boxplot for categorical data, diagnosis vs F893
## 2024-09-24 04:03:16.229052 INFO::Creating boxplot for categorical data, diagnosis vs F318
## 2024-09-24 04:03:16.339157 INFO::Creating boxplot for categorical data, diagnosis vs F784
## 2024-09-24 04:03:16.464009 INFO::Creating boxplot for categorical data, diagnosis vs F567
## 2024-09-24 04:03:16.572114 INFO::Creating boxplot for categorical data, diagnosis vs F457
## 2024-09-24 04:03:16.679241 INFO::Creating boxplot for categorical data, diagnosis vs F708
## 2024-09-24 04:03:16.786188 INFO::Creating boxplot for categorical data, diagnosis vs F669
## 2024-09-24 04:03:16.892371 INFO::Creating boxplot for categorical data, diagnosis vs F87
## 2024-09-24 04:03:18.351912 INFO::Plotting data for metadata number 2, antibiotics
## 2024-09-24 04:03:18.353232 INFO::Creating boxplot for categorical data, antibiotics vs F663
## 2024-09-24 04:03:18.467902 INFO::Creating boxplot for categorical data, antibiotics vs F838
## 2024-09-24 04:03:18.586293 INFO::Creating boxplot for categorical data, antibiotics vs F764
## 2024-09-24 04:03:18.725294 INFO::Creating boxplot for categorical data, antibiotics vs F880
## 2024-09-24 04:03:18.839987 INFO::Creating boxplot for categorical data, antibiotics vs F751
## 2024-09-24 04:03:18.957514 INFO::Creating boxplot for categorical data, antibiotics vs F288
## 2024-09-24 04:03:19.072294 INFO::Creating boxplot for categorical data, antibiotics vs F65
## 2024-09-24 04:03:19.188944 INFO::Creating boxplot for categorical data, antibiotics vs F742
## 2024-09-24 04:03:19.32293 INFO::Creating boxplot for categorical data, antibiotics vs F528
## 2024-09-24 04:03:19.439899 INFO::Creating boxplot for categorical data, antibiotics vs F790
## 2024-09-24 04:03:19.55592 INFO::Creating boxplot for categorical data, antibiotics vs F777
## 2024-09-24 04:03:19.674147 INFO::Creating boxplot for categorical data, antibiotics vs F178
## 2024-09-24 04:03:19.79126 INFO::Creating boxplot for categorical data, antibiotics vs F139
## 2024-09-24 04:03:19.929728 INFO::Creating boxplot for categorical data, antibiotics vs F202
## 2024-09-24 04:03:20.047531 INFO::Creating boxplot for categorical data, antibiotics vs F220
## 2024-09-24 04:03:20.164682 INFO::Creating boxplot for categorical data, antibiotics vs F397
## 2024-09-24 04:03:20.283461 INFO::Creating boxplot for categorical data, antibiotics vs F882
## 2024-09-24 04:03:20.400432 INFO::Creating boxplot for categorical data, antibiotics vs F446
## 2024-09-24 04:03:20.534777 INFO::Creating boxplot for categorical data, antibiotics vs F418
## 2024-09-24 04:03:20.654536 INFO::Creating boxplot for categorical data, antibiotics vs F133
## 2024-09-24 04:03:20.775858 INFO::Creating boxplot for categorical data, antibiotics vs F696
## 2024-09-24 04:03:20.891548 INFO::Creating boxplot for categorical data, antibiotics vs F548
## 2024-09-24 04:03:21.009153 INFO::Creating boxplot for categorical data, antibiotics vs F536
## 2024-09-24 04:03:21.137736 INFO::Creating boxplot for categorical data, antibiotics vs F194
## 2024-09-24 04:03:21.26168 INFO::Creating boxplot for categorical data, antibiotics vs F34
## 2024-09-24 04:03:21.376652 INFO::Creating boxplot for categorical data, antibiotics vs F153
## 2024-09-24 04:03:21.492701 INFO::Creating boxplot for categorical data, antibiotics vs F400
## 2024-09-24 04:03:21.609884 INFO::Creating boxplot for categorical data, antibiotics vs F794
## 2024-09-24 04:03:21.729195 INFO::Creating boxplot for categorical data, antibiotics vs F396
## 2024-09-24 04:03:21.864024 INFO::Creating boxplot for categorical data, antibiotics vs F182
## 2024-09-24 04:03:21.980321 INFO::Creating boxplot for categorical data, antibiotics vs F719
## 2024-09-24 04:03:22.09962 INFO::Creating boxplot for categorical data, antibiotics vs F109
## 2024-09-24 04:03:22.220094 INFO::Creating boxplot for categorical data, antibiotics vs F180
## 2024-09-24 04:03:22.337858 INFO::Creating boxplot for categorical data, antibiotics vs F552
## 2024-09-24 04:03:22.471209 INFO::Creating boxplot for categorical data, antibiotics vs F789
## 2024-09-24 04:03:22.587591 INFO::Creating boxplot for categorical data, antibiotics vs F893
## 2024-09-24 04:03:22.706684 INFO::Creating boxplot for categorical data, antibiotics vs F834
## 2024-09-24 04:03:22.823383 INFO::Creating boxplot for categorical data, antibiotics vs F889
## 2024-09-24 04:03:22.941147 INFO::Creating boxplot for categorical data, antibiotics vs F143
## 2024-09-24 04:03:23.075977 INFO::Creating boxplot for categorical data, antibiotics vs F224
## 2024-09-24 04:03:23.193394 INFO::Creating boxplot for categorical data, antibiotics vs F5
## 2024-09-24 04:03:23.309498 INFO::Creating boxplot for categorical data, antibiotics vs F873
## 2024-09-24 04:03:23.427763 INFO::Creating boxplot for categorical data, antibiotics vs F452
## 2024-09-24 04:03:23.546377 INFO::Creating boxplot for categorical data, antibiotics vs F681
## 2024-09-24 04:03:23.724499 INFO::Creating boxplot for categorical data, antibiotics vs F468
## 2024-09-24 04:03:23.844728 INFO::Creating boxplot for categorical data, antibiotics vs F731
## 2024-09-24 04:03:23.9648 INFO::Creating boxplot for categorical data, antibiotics vs F479
## 2024-09-24 04:03:24.084898 INFO::Creating boxplot for categorical data, antibiotics vs F520
## 2024-09-24 04:03:24.204946 INFO::Creating boxplot for categorical data, antibiotics vs F649
## 2024-09-24 04:03:24.339009 INFO::Creating boxplot for categorical data, antibiotics vs F259
## 2024-09-24 04:03:24.460036 INFO::Creating boxplot for categorical data, antibiotics vs F186
## 2024-09-24 04:03:24.578648 INFO::Creating boxplot for categorical data, antibiotics vs F312
## 2024-09-24 04:03:24.694065 INFO::Creating boxplot for categorical data, antibiotics vs F477
## 2024-09-24 04:03:24.810479 INFO::Creating boxplot for categorical data, antibiotics vs F4
## 2024-09-24 04:03:24.937676 INFO::Creating boxplot for categorical data, antibiotics vs F632
## 2024-09-24 04:03:25.060765 INFO::Creating boxplot for categorical data, antibiotics vs F31
## 2024-09-24 04:03:25.179917 INFO::Creating boxplot for categorical data, antibiotics vs F184
## 2024-09-24 04:03:25.298728 INFO::Creating boxplot for categorical data, antibiotics vs F7
## 2024-09-24 04:03:25.414329 INFO::Creating boxplot for categorical data, antibiotics vs F213
## 2024-09-24 04:03:25.531374 INFO::Creating boxplot for categorical data, antibiotics vs F691
## 2024-09-24 04:03:25.664187 INFO::Creating boxplot for categorical data, antibiotics vs F828
## 2024-09-24 04:03:25.784412 INFO::Creating boxplot for categorical data, antibiotics vs F831
## 2024-09-24 04:03:25.901984 INFO::Creating boxplot for categorical data, antibiotics vs F315
## 2024-09-24 04:03:26.019545 INFO::Creating boxplot for categorical data, antibiotics vs F159
## 2024-09-24 04:03:26.133725 INFO::Creating boxplot for categorical data, antibiotics vs F331
## 2024-09-24 04:03:26.266059 INFO::Creating boxplot for categorical data, antibiotics vs F757
## 2024-09-24 04:03:26.390325 INFO::Creating boxplot for categorical data, antibiotics vs F167
## 2024-09-24 04:03:26.511568 INFO::Creating boxplot for categorical data, antibiotics vs F85
## 2024-09-24 04:03:26.629705 INFO::Creating boxplot for categorical data, antibiotics vs F80
## 2024-09-24 04:03:26.750818 INFO::Creating boxplot for categorical data, antibiotics vs F105
## 2024-09-24 04:03:26.880428 INFO::Creating boxplot for categorical data, antibiotics vs F674
## 2024-09-24 04:03:27.002504 INFO::Creating boxplot for categorical data, antibiotics vs F50
## 2024-09-24 04:03:27.121123 INFO::Creating boxplot for categorical data, antibiotics vs F164
## 2024-09-24 04:03:27.236683 INFO::Creating boxplot for categorical data, antibiotics vs F840
## 2024-09-24 04:03:27.351979 INFO::Creating boxplot for categorical data, antibiotics vs F232
## 2024-09-24 04:03:27.468387 INFO::Creating boxplot for categorical data, antibiotics vs F872
## 2024-09-24 04:03:27.599239 INFO::Creating boxplot for categorical data, antibiotics vs F54
## 2024-09-24 04:03:27.717407 INFO::Creating boxplot for categorical data, antibiotics vs F365
## 2024-09-24 04:03:27.835294 INFO::Creating boxplot for categorical data, antibiotics vs F499
## 2024-09-24 04:03:27.952024 INFO::Creating boxplot for categorical data, antibiotics vs F510
## 2024-09-24 04:03:28.068284 INFO::Creating boxplot for categorical data, antibiotics vs F716
## 2024-09-24 04:03:28.202374 INFO::Creating boxplot for categorical data, antibiotics vs F454
## 2024-09-24 04:03:28.324321 INFO::Creating boxplot for categorical data, antibiotics vs F52
## 2024-09-24 04:03:28.443053 INFO::Creating boxplot for categorical data, antibiotics vs F273
## 2024-09-24 04:03:28.560645 INFO::Creating boxplot for categorical data, antibiotics vs F474
## 2024-09-24 04:03:28.677245 INFO::Creating boxplot for categorical data, antibiotics vs F267
## 2024-09-24 04:03:28.810892 INFO::Creating boxplot for categorical data, antibiotics vs F253
## 2024-09-24 04:03:28.93207 INFO::Creating boxplot for categorical data, antibiotics vs F247
## 2024-09-24 04:03:29.051757 INFO::Creating boxplot for categorical data, antibiotics vs F708
## 2024-09-24 04:03:29.167791 INFO::Creating boxplot for categorical data, antibiotics vs F438
## 2024-09-24 04:03:29.283285 INFO::Creating boxplot for categorical data, antibiotics vs F450
## 2024-09-24 04:03:29.414905 INFO::Creating boxplot for categorical data, antibiotics vs F666
## 2024-09-24 04:03:29.535909 INFO::Creating boxplot for categorical data, antibiotics vs F720
## 2024-09-24 04:03:29.651306 INFO::Creating boxplot for categorical data, antibiotics vs F48
## 2024-09-24 04:03:29.774451 INFO::Creating boxplot for categorical data, antibiotics vs F371
## 2024-09-24 04:03:29.905166 INFO::Creating boxplot for categorical data, antibiotics vs F423
## 2024-09-24 04:03:30.036127 INFO::Creating boxplot for categorical data, antibiotics vs F190
## 2024-09-24 04:03:30.154702 INFO::Creating boxplot for categorical data, antibiotics vs F351
## 2024-09-24 04:03:30.271071 INFO::Creating boxplot for categorical data, antibiotics vs F394
## 2024-09-24 04:03:30.384465 INFO::Creating boxplot for categorical data, antibiotics vs F581
## 2024-09-24 04:03:30.498932 INFO::Creating boxplot for categorical data, antibiotics vs F276
## 2024-09-24 04:03:30.624526 INFO::Creating boxplot for categorical data, antibiotics vs F608
## 2024-09-24 04:03:30.747441 INFO::Creating boxplot for categorical data, antibiotics vs F28
## 2024-09-24 04:03:30.870449 INFO::Creating boxplot for categorical data, antibiotics vs F805
## 2024-09-24 04:03:30.986534 INFO::Creating boxplot for categorical data, antibiotics vs F249
## 2024-09-24 04:03:31.101869 INFO::Creating boxplot for categorical data, antibiotics vs F776
## 2024-09-24 04:03:31.217009 INFO::Creating boxplot for categorical data, antibiotics vs F755
## 2024-09-24 04:03:31.347778 INFO::Creating boxplot for categorical data, antibiotics vs F68
## 2024-09-24 04:03:31.466216 INFO::Creating boxplot for categorical data, antibiotics vs F78
## 2024-09-24 04:03:31.582698 INFO::Creating boxplot for categorical data, antibiotics vs F381
## 2024-09-24 04:03:31.699413 INFO::Creating boxplot for categorical data, antibiotics vs F644
## 2024-09-24 04:03:31.814972 INFO::Creating boxplot for categorical data, antibiotics vs F358
## 2024-09-24 04:03:31.946741 INFO::Creating boxplot for categorical data, antibiotics vs F344
## 2024-09-24 04:03:32.064632 INFO::Creating boxplot for categorical data, antibiotics vs F209
## 2024-09-24 04:03:32.181514 INFO::Creating boxplot for categorical data, antibiotics vs F898
## 2024-09-24 04:03:32.29904 INFO::Creating boxplot for categorical data, antibiotics vs F51
## 2024-09-24 04:03:32.414563 INFO::Creating boxplot for categorical data, antibiotics vs F149
## 2024-09-24 04:03:32.54546 INFO::Creating boxplot for categorical data, antibiotics vs F108
## 2024-09-24 04:03:32.663273 INFO::Creating boxplot for categorical data, antibiotics vs F255
## 2024-09-24 04:03:32.778437 INFO::Creating boxplot for categorical data, antibiotics vs F823
## 2024-09-24 04:03:32.899346 INFO::Creating boxplot for categorical data, antibiotics vs F864
## 2024-09-24 04:03:33.016089 INFO::Creating boxplot for categorical data, antibiotics vs F214
## 2024-09-24 04:03:33.150563 INFO::Creating boxplot for categorical data, antibiotics vs F76
## 2024-09-24 04:03:33.271717 INFO::Creating boxplot for categorical data, antibiotics vs F575
## 2024-09-24 04:03:33.38769 INFO::Creating boxplot for categorical data, antibiotics vs F13
## 2024-09-24 04:03:33.504186 INFO::Creating boxplot for categorical data, antibiotics vs F389
## 2024-09-24 04:03:33.62066 INFO::Creating boxplot for categorical data, antibiotics vs F556
## 2024-09-24 04:03:33.753517 INFO::Creating boxplot for categorical data, antibiotics vs F49
## 2024-09-24 04:03:33.878148 INFO::Creating boxplot for categorical data, antibiotics vs F436
## 2024-09-24 04:03:33.995676 INFO::Creating boxplot for categorical data, antibiotics vs F378
## 2024-09-24 04:03:34.113208 INFO::Creating boxplot for categorical data, antibiotics vs F682
## 2024-09-24 04:03:34.233656 INFO::Creating boxplot for categorical data, antibiotics vs F47
## 2024-09-24 04:03:34.362783 INFO::Creating boxplot for categorical data, antibiotics vs F429
## 2024-09-24 04:03:34.482045 INFO::Creating boxplot for categorical data, antibiotics vs F588
## 2024-09-24 04:03:34.598459 INFO::Creating boxplot for categorical data, antibiotics vs F616
## 2024-09-24 04:03:34.716818 INFO::Creating boxplot for categorical data, antibiotics vs F323
## 2024-09-24 04:03:34.833269 INFO::Creating boxplot for categorical data, antibiotics vs F409
## 2024-09-24 04:03:34.964222 INFO::Creating boxplot for categorical data, antibiotics vs F326
## 2024-09-24 04:03:35.086324 INFO::Creating boxplot for categorical data, antibiotics vs F698
## 2024-09-24 04:03:35.205662 INFO::Creating boxplot for categorical data, antibiotics vs F567
## 2024-09-24 04:03:35.323433 INFO::Creating boxplot for categorical data, antibiotics vs F179
## 2024-09-24 04:03:35.441424 INFO::Creating boxplot for categorical data, antibiotics vs F787
## 2024-09-24 04:03:35.57209 INFO::Creating boxplot for categorical data, antibiotics vs F79
## 2024-09-24 04:03:35.692215 INFO::Creating boxplot for categorical data, antibiotics vs F335
## 2024-09-24 04:03:35.810267 INFO::Creating boxplot for categorical data, antibiotics vs F576
## 2024-09-24 04:03:35.929111 INFO::Creating boxplot for categorical data, antibiotics vs F667
## 2024-09-24 04:03:36.046135 INFO::Creating boxplot for categorical data, antibiotics vs F694
## 2024-09-24 04:03:36.174924 INFO::Creating boxplot for categorical data, antibiotics vs F297
## 2024-09-24 04:03:36.296509 INFO::Creating boxplot for categorical data, antibiotics vs F569
## 2024-09-24 04:03:36.416264 INFO::Creating boxplot for categorical data, antibiotics vs F138
## 2024-09-24 04:03:36.537472 INFO::Creating boxplot for categorical data, antibiotics vs F611
## 2024-09-24 04:03:36.656381 INFO::Creating boxplot for categorical data, antibiotics vs F810
## 2024-09-24 04:03:36.810266 INFO::Creating boxplot for categorical data, antibiotics vs F746
## 2024-09-24 04:03:36.941561 INFO::Creating boxplot for categorical data, antibiotics vs F23
## 2024-09-24 04:03:37.065187 INFO::Creating boxplot for categorical data, antibiotics vs F135
## 2024-09-24 04:03:37.187896 INFO::Creating boxplot for categorical data, antibiotics vs F411
## 2024-09-24 04:03:37.304906 INFO::Creating boxplot for categorical data, antibiotics vs F489
## 2024-09-24 04:03:37.421436 INFO::Creating boxplot for categorical data, antibiotics vs F492
## 2024-09-24 04:03:37.561989 INFO::Creating boxplot for categorical data, antibiotics vs F844
## 2024-09-24 04:03:37.686442 INFO::Creating boxplot for categorical data, antibiotics vs F586
## 2024-09-24 04:03:37.80878 INFO::Creating boxplot for categorical data, antibiotics vs F11
## 2024-09-24 04:03:37.928197 INFO::Creating boxplot for categorical data, antibiotics vs F900
## 2024-09-24 04:03:38.046163 INFO::Creating boxplot for categorical data, antibiotics vs F21
## 2024-09-24 04:03:38.186841 INFO::Creating boxplot for categorical data, antibiotics vs F736
## 2024-09-24 04:03:38.308892 INFO::Creating boxplot for categorical data, antibiotics vs F408
## 2024-09-24 04:03:38.429869 INFO::Creating boxplot for categorical data, antibiotics vs F788
## 2024-09-24 04:03:38.547183 INFO::Creating boxplot for categorical data, antibiotics vs F66
## 2024-09-24 04:03:38.663806 INFO::Creating boxplot for categorical data, antibiotics vs F493
## 2024-09-24 04:03:38.801374 INFO::Creating boxplot for categorical data, antibiotics vs F343
## 2024-09-24 04:03:38.924011 INFO::Creating boxplot for categorical data, antibiotics vs F352
## 2024-09-24 04:03:39.047083 INFO::Creating boxplot for categorical data, antibiotics vs F677
## 2024-09-24 04:03:39.165931 INFO::Creating boxplot for categorical data, antibiotics vs F816
## 2024-09-24 04:03:39.285013 INFO::Creating boxplot for categorical data, antibiotics vs F457
## 2024-09-24 04:03:39.403376 INFO::Creating boxplot for categorical data, antibiotics vs F330
## 2024-09-24 04:03:39.54368 INFO::Creating boxplot for categorical data, antibiotics vs F293
## 2024-09-24 04:03:39.665008 INFO::Creating boxplot for categorical data, antibiotics vs F725
## 2024-09-24 04:03:39.785193 INFO::Creating boxplot for categorical data, antibiotics vs F813
## 2024-09-24 04:03:39.90338 INFO::Creating boxplot for categorical data, antibiotics vs F295
## 2024-09-24 04:03:40.026943 INFO::Creating boxplot for categorical data, antibiotics vs F656
## 2024-09-24 04:03:40.168884 INFO::Creating boxplot for categorical data, antibiotics vs F669
## 2024-09-24 04:03:40.292838 INFO::Creating boxplot for categorical data, antibiotics vs F15
## 2024-09-24 04:03:40.413898 INFO::Creating boxplot for categorical data, antibiotics vs F419
## 2024-09-24 04:03:40.534109 INFO::Creating boxplot for categorical data, antibiotics vs F701
## 2024-09-24 04:03:40.654047 INFO::Creating boxplot for categorical data, antibiotics vs F176
## 2024-09-24 04:03:40.800803 INFO::Creating boxplot for categorical data, antibiotics vs F203
## 2024-09-24 04:03:40.922996 INFO::Creating boxplot for categorical data, antibiotics vs F501
## 2024-09-24 04:03:41.046722 INFO::Creating boxplot for categorical data, antibiotics vs F772
## 2024-09-24 04:03:41.164443 INFO::Creating boxplot for categorical data, antibiotics vs F488
## 2024-09-24 04:03:41.282175 INFO::Creating boxplot for categorical data, antibiotics vs F600
## 2024-09-24 04:03:41.420394 INFO::Creating boxplot for categorical data, antibiotics vs F768
## 2024-09-24 04:03:41.543171 INFO::Creating boxplot for categorical data, antibiotics vs F432
## 2024-09-24 04:03:41.665506 INFO::Creating boxplot for categorical data, antibiotics vs F26
## 2024-09-24 04:03:41.78289 INFO::Creating boxplot for categorical data, antibiotics vs F189
## 2024-09-24 04:03:41.897615 INFO::Creating boxplot for categorical data, antibiotics vs F200
## 2024-09-24 04:03:42.027958 INFO::Creating boxplot for categorical data, antibiotics vs F121
## 2024-09-24 04:03:42.15706 INFO::Creating boxplot for categorical data, antibiotics vs F624
## 2024-09-24 04:03:42.278801 INFO::Creating boxplot for categorical data, antibiotics vs F855
## 2024-09-24 04:03:42.398919 INFO::Creating boxplot for categorical data, antibiotics vs F380
## 2024-09-24 04:03:42.516685 INFO::Creating boxplot for categorical data, antibiotics vs F734
## 2024-09-24 04:03:42.635909 INFO::Creating boxplot for categorical data, antibiotics vs F16
## 2024-09-24 04:03:42.777352 INFO::Creating boxplot for categorical data, antibiotics vs F602
## 2024-09-24 04:03:42.900942 INFO::Creating boxplot for categorical data, antibiotics vs F210
## 2024-09-24 04:03:43.022982 INFO::Creating boxplot for categorical data, antibiotics vs F217
## 2024-09-24 04:03:43.142226 INFO::Creating boxplot for categorical data, antibiotics vs F640
## 2024-09-24 04:03:43.260238 INFO::Creating boxplot for categorical data, antibiotics vs F631
## 2024-09-24 04:03:43.404206 INFO::Creating boxplot for categorical data, antibiotics vs F32
## 2024-09-24 04:03:43.526929 INFO::Creating boxplot for categorical data, antibiotics vs F322
## 2024-09-24 04:03:43.648026 INFO::Creating boxplot for categorical data, antibiotics vs F476
## 2024-09-24 04:03:43.767272 INFO::Creating boxplot for categorical data, antibiotics vs F265
## 2024-09-24 04:03:43.887212 INFO::Creating boxplot for categorical data, antibiotics vs F283
## 2024-09-24 04:03:44.029883 INFO::Creating boxplot for categorical data, antibiotics vs F316
## 2024-09-24 04:03:44.154452 INFO::Creating boxplot for categorical data, antibiotics vs F465
## 2024-09-24 04:03:44.27748 INFO::Creating boxplot for categorical data, antibiotics vs F24
## 2024-09-24 04:03:44.39628 INFO::Creating boxplot for categorical data, antibiotics vs F38
## 2024-09-24 04:03:44.515026 INFO::Creating boxplot for categorical data, antibiotics vs F82
## 2024-09-24 04:03:44.653995 INFO::Creating boxplot for categorical data, antibiotics vs F86
## 2024-09-24 04:03:44.777718 INFO::Creating boxplot for categorical data, antibiotics vs F270
## 2024-09-24 04:03:44.898465 INFO::Creating boxplot for categorical data, antibiotics vs F485
## 2024-09-24 04:03:45.017624 INFO::Creating boxplot for categorical data, antibiotics vs F486
## 2024-09-24 04:03:45.135728 INFO::Creating boxplot for categorical data, antibiotics vs F399
## 2024-09-24 04:03:45.275332 INFO::Creating boxplot for categorical data, antibiotics vs F573
## 2024-09-24 04:03:45.396865 INFO::Creating boxplot for categorical data, antibiotics vs F877
## 2024-09-24 04:03:45.51764 INFO::Creating boxplot for categorical data, antibiotics vs F709
## 2024-09-24 04:03:45.635647 INFO::Creating boxplot for categorical data, antibiotics vs F227
## 2024-09-24 04:03:45.75238 INFO::Creating boxplot for categorical data, antibiotics vs F553
## 2024-09-24 04:03:45.884834 INFO::Creating boxplot for categorical data, antibiotics vs F123
## 2024-09-24 04:03:46.012447 INFO::Creating boxplot for categorical data, antibiotics vs F118
## 2024-09-24 04:03:46.135101 INFO::Creating boxplot for categorical data, antibiotics vs F605
## 2024-09-24 04:03:46.256028 INFO::Creating boxplot for categorical data, antibiotics vs F619
## 2024-09-24 04:03:46.373991 INFO::Creating boxplot for categorical data, antibiotics vs F830
## 2024-09-24 04:03:46.493213 INFO::Creating boxplot for categorical data, antibiotics vs F837
## 2024-09-24 04:03:46.638232 INFO::Creating boxplot for categorical data, antibiotics vs F12
## 2024-09-24 04:03:46.762003 INFO::Creating boxplot for categorical data, antibiotics vs F623
## 2024-09-24 04:03:46.883068 INFO::Creating boxplot for categorical data, antibiotics vs F806
## 2024-09-24 04:03:46.999886 INFO::Creating boxplot for categorical data, antibiotics vs F353
## 2024-09-24 04:03:47.11869 INFO::Creating boxplot for categorical data, antibiotics vs F829
## 2024-09-24 04:03:47.260318 INFO::Creating boxplot for categorical data, antibiotics vs F289
## 2024-09-24 04:03:47.383556 INFO::Creating boxplot for categorical data, antibiotics vs F93
## 2024-09-24 04:03:47.502505 INFO::Creating boxplot for categorical data, antibiotics vs F379
## 2024-09-24 04:03:47.620071 INFO::Creating boxplot for categorical data, antibiotics vs F370
## 2024-09-24 04:03:47.738452 INFO::Creating boxplot for categorical data, antibiotics vs F360
## 2024-09-24 04:03:47.880906 INFO::Creating boxplot for categorical data, antibiotics vs F710
## 2024-09-24 04:03:48.000821 INFO::Creating boxplot for categorical data, antibiotics vs F388
## 2024-09-24 04:03:48.124334 INFO::Creating boxplot for categorical data, antibiotics vs F796
## 2024-09-24 04:03:48.239986 INFO::Creating boxplot for categorical data, antibiotics vs F174
## 2024-09-24 04:03:48.356785 INFO::Creating boxplot for categorical data, antibiotics vs F601
## 2024-09-24 04:03:48.494034 INFO::Creating boxplot for categorical data, antibiotics vs F775
## 2024-09-24 04:03:48.614295 INFO::Creating boxplot for categorical data, antibiotics vs F836
## 2024-09-24 04:03:48.732612 INFO::Creating boxplot for categorical data, antibiotics vs F192
## 2024-09-24 04:03:48.847171 INFO::Creating boxplot for categorical data, antibiotics vs F463
## 2024-09-24 04:03:48.963356 INFO::Creating boxplot for categorical data, antibiotics vs F57
## 2024-09-24 04:03:49.106726 INFO::Creating boxplot for categorical data, antibiotics vs F658
## 2024-09-24 04:03:49.227505 INFO::Creating boxplot for categorical data, antibiotics vs F596
## 2024-09-24 04:03:49.345472 INFO::Creating boxplot for categorical data, antibiotics vs F218
## 2024-09-24 04:03:49.461539 INFO::Creating boxplot for categorical data, antibiotics vs F104
## 2024-09-24 04:03:49.579664 INFO::Creating boxplot for categorical data, antibiotics vs F466
## 2024-09-24 04:03:49.71761 INFO::Creating boxplot for categorical data, antibiotics vs F737
## 2024-09-24 04:03:49.835738 INFO::Creating boxplot for categorical data, antibiotics vs F487
## 2024-09-24 04:03:49.955 INFO::Creating boxplot for categorical data, antibiotics vs F369
## 2024-09-24 04:03:50.07534 INFO::Creating boxplot for categorical data, antibiotics vs F584
## 2024-09-24 04:03:50.192773 INFO::Creating boxplot for categorical data, antibiotics vs F166
## 2024-09-24 04:03:50.380202 INFO::Creating boxplot for categorical data, antibiotics vs F822
## 2024-09-24 04:03:50.50401 INFO::Creating boxplot for categorical data, antibiotics vs F416
## 2024-09-24 04:03:50.629853 INFO::Creating boxplot for categorical data, antibiotics vs F70
## 2024-09-24 04:03:50.753927 INFO::Creating boxplot for categorical data, antibiotics vs F243
## 2024-09-24 04:03:50.876448 INFO::Creating boxplot for categorical data, antibiotics vs F498
## 2024-09-24 04:03:51.01472 INFO::Creating boxplot for categorical data, antibiotics vs F272
## 2024-09-24 04:03:51.138199 INFO::Creating boxplot for categorical data, antibiotics vs F846
## 2024-09-24 04:03:51.261786 INFO::Creating boxplot for categorical data, antibiotics vs F881
## 2024-09-24 04:03:51.383791 INFO::Creating boxplot for categorical data, antibiotics vs F280
## 2024-09-24 04:03:51.502565 INFO::Creating boxplot for categorical data, antibiotics vs F761
## 2024-09-24 04:03:51.617733 INFO::Creating boxplot for categorical data, antibiotics vs F781
## 2024-09-24 04:03:51.755814 INFO::Creating boxplot for categorical data, antibiotics vs F697
## 2024-09-24 04:03:51.879523 INFO::Creating boxplot for categorical data, antibiotics vs F890
## 2024-09-24 04:03:52.003489 INFO::Creating boxplot for categorical data, antibiotics vs F197
## 2024-09-24 04:03:52.127565 INFO::Creating boxplot for categorical data, antibiotics vs F826
## 2024-09-24 04:03:52.245696 INFO::Creating boxplot for categorical data, antibiotics vs F641
## 2024-09-24 04:03:52.383186 INFO::Creating boxplot for categorical data, antibiotics vs F700
## 2024-09-24 04:03:52.505552 INFO::Creating boxplot for categorical data, antibiotics vs F531
## 2024-09-24 04:03:52.62885 INFO::Creating boxplot for categorical data, antibiotics vs F660
## 2024-09-24 04:03:52.74939 INFO::Creating boxplot for categorical data, antibiotics vs F257
## 2024-09-24 04:03:52.866046 INFO::Creating boxplot for categorical data, antibiotics vs F136
## 2024-09-24 04:03:53.001499 INFO::Creating boxplot for categorical data, antibiotics vs F875
## 2024-09-24 04:03:53.124259 INFO::Creating boxplot for categorical data, antibiotics vs F160
## 2024-09-24 04:03:53.247375 INFO::Creating boxplot for categorical data, antibiotics vs F782
## 2024-09-24 04:03:53.368111 INFO::Creating boxplot for categorical data, antibiotics vs F642
## 2024-09-24 04:03:53.48523 INFO::Creating boxplot for categorical data, antibiotics vs F730
## 2024-09-24 04:03:53.613083 INFO::Creating boxplot for categorical data, antibiotics vs F679
## 2024-09-24 04:03:53.73544 INFO::Creating boxplot for categorical data, antibiotics vs F713
## 2024-09-24 04:03:53.855771 INFO::Creating boxplot for categorical data, antibiotics vs F821
## 2024-09-24 04:03:53.977607 INFO::Creating boxplot for categorical data, antibiotics vs F443
## 2024-09-24 04:03:54.093809 INFO::Creating boxplot for categorical data, antibiotics vs F729
## 2024-09-24 04:03:54.214065 INFO::Creating boxplot for categorical data, antibiotics vs F25
## 2024-09-24 04:03:54.350426 INFO::Creating boxplot for categorical data, antibiotics vs F338
## 2024-09-24 04:03:54.47265 INFO::Creating boxplot for categorical data, antibiotics vs F647
## 2024-09-24 04:03:54.593543 INFO::Creating boxplot for categorical data, antibiotics vs F817
## 2024-09-24 04:03:54.709616 INFO::Creating boxplot for categorical data, antibiotics vs F535
## 2024-09-24 04:03:54.826323 INFO::Creating boxplot for categorical data, antibiotics vs F634
## 2024-09-24 04:03:54.96356 INFO::Creating boxplot for categorical data, antibiotics vs F533
## 2024-09-24 04:03:55.081262 INFO::Creating boxplot for categorical data, antibiotics vs F808
## 2024-09-24 04:03:55.202449 INFO::Creating boxplot for categorical data, antibiotics vs F571
## 2024-09-24 04:03:55.319619 INFO::Creating boxplot for categorical data, antibiotics vs F529
## 2024-09-24 04:03:55.437644 INFO::Creating boxplot for categorical data, antibiotics vs F827
## 2024-09-24 04:03:55.56997 INFO::Creating boxplot for categorical data, antibiotics vs F107
## 2024-09-24 04:03:55.689316 INFO::Creating boxplot for categorical data, antibiotics vs F515
## 2024-09-24 04:03:55.810561 INFO::Creating boxplot for categorical data, antibiotics vs F305
## 2024-09-24 04:03:55.928579 INFO::Creating boxplot for categorical data, antibiotics vs F662
## 2024-09-24 04:03:56.042601 INFO::Creating boxplot for categorical data, antibiotics vs F310
## 2024-09-24 04:03:56.176545 INFO::Creating boxplot for categorical data, antibiotics vs F430
## 2024-09-24 04:03:56.295587 INFO::Creating boxplot for categorical data, antibiotics vs F173
## 2024-09-24 04:03:56.41505 INFO::Creating boxplot for categorical data, antibiotics vs F820
## 2024-09-24 04:03:56.533491 INFO::Creating boxplot for categorical data, antibiotics vs F743
## 2024-09-24 04:03:56.64807 INFO::Creating boxplot for categorical data, antibiotics vs F63
## 2024-09-24 04:03:56.784606 INFO::Creating boxplot for categorical data, antibiotics vs F215
## 2024-09-24 04:03:56.904475 INFO::Creating boxplot for categorical data, antibiotics vs F216
## 2024-09-24 04:03:57.026716 INFO::Creating boxplot for categorical data, antibiotics vs F245
## 2024-09-24 04:03:57.147618 INFO::Creating boxplot for categorical data, antibiotics vs F862
## 2024-09-24 04:03:57.263708 INFO::Creating boxplot for categorical data, antibiotics vs F541
## 2024-09-24 04:03:57.380172 INFO::Creating boxplot for categorical data, antibiotics vs F558
## 2024-09-24 04:03:57.514707 INFO::Creating boxplot for categorical data, antibiotics vs F633
## 2024-09-24 04:03:57.633041 INFO::Creating boxplot for categorical data, antibiotics vs F94
## 2024-09-24 04:03:57.753341 INFO::Creating boxplot for categorical data, antibiotics vs F574
## 2024-09-24 04:03:57.868587 INFO::Creating boxplot for categorical data, antibiotics vs F238
## 2024-09-24 04:03:57.984485 INFO::Creating boxplot for categorical data, antibiotics vs F815
## 2024-09-24 04:03:58.119031 INFO::Creating boxplot for categorical data, antibiotics vs F587
## 2024-09-24 04:03:58.238937 INFO::Creating boxplot for categorical data, antibiotics vs F464
## 2024-09-24 04:03:58.359142 INFO::Creating boxplot for categorical data, antibiotics vs F590
## 2024-09-24 04:03:58.475605 INFO::Creating boxplot for categorical data, antibiotics vs F124
## 2024-09-24 04:03:58.591412 INFO::Creating boxplot for categorical data, antibiotics vs F664
## 2024-09-24 04:03:58.725038 INFO::Creating boxplot for categorical data, antibiotics vs F100
## 2024-09-24 04:03:58.845468 INFO::Creating boxplot for categorical data, antibiotics vs F744
## 2024-09-24 04:03:58.965596 INFO::Creating boxplot for categorical data, antibiotics vs F444
## 2024-09-24 04:03:59.082393 INFO::Creating boxplot for categorical data, antibiotics vs F597
## 2024-09-24 04:03:59.199562 INFO::Creating boxplot for categorical data, antibiotics vs F650
## 2024-09-24 04:03:59.331785 INFO::Creating boxplot for categorical data, antibiotics vs F147
## 2024-09-24 04:03:59.450104 INFO::Creating boxplot for categorical data, antibiotics vs F363
## 2024-09-24 04:03:59.570422 INFO::Creating boxplot for categorical data, antibiotics vs F521
## 2024-09-24 04:03:59.687782 INFO::Creating boxplot for categorical data, antibiotics vs F412
## 2024-09-24 04:03:59.801887 INFO::Creating boxplot for categorical data, antibiotics vs F279
## 2024-09-24 04:03:59.936034 INFO::Creating boxplot for categorical data, antibiotics vs F225
## 2024-09-24 04:04:00.055254 INFO::Creating boxplot for categorical data, antibiotics vs F10
## 2024-09-24 04:04:00.17759 INFO::Creating boxplot for categorical data, antibiotics vs F481
## 2024-09-24 04:04:00.293729 INFO::Creating boxplot for categorical data, antibiotics vs F861
## 2024-09-24 04:04:00.408005 INFO::Creating boxplot for categorical data, antibiotics vs F888
## 2024-09-24 04:04:00.541111 INFO::Creating boxplot for categorical data, antibiotics vs F156
## 2024-09-24 04:04:00.661372 INFO::Creating boxplot for categorical data, antibiotics vs F857
## 2024-09-24 04:04:00.78089 INFO::Creating boxplot for categorical data, antibiotics vs F509
## 2024-09-24 04:04:00.897154 INFO::Creating boxplot for categorical data, antibiotics vs F244
## 2024-09-24 04:04:01.012175 INFO::Creating boxplot for categorical data, antibiotics vs F514
## 2024-09-24 04:04:01.144067 INFO::Creating boxplot for categorical data, antibiotics vs F196
## 2024-09-24 04:04:01.265498 INFO::Creating boxplot for categorical data, antibiotics vs F304
## 2024-09-24 04:04:01.385112 INFO::Creating boxplot for categorical data, antibiotics vs F833
## 2024-09-24 04:04:01.505826 INFO::Creating boxplot for categorical data, antibiotics vs F294
## 2024-09-24 04:04:01.619998 INFO::Creating boxplot for categorical data, antibiotics vs F550
## 2024-09-24 04:04:01.750312 INFO::Creating boxplot for categorical data, antibiotics vs F869
## 2024-09-24 04:04:01.869738 INFO::Creating boxplot for categorical data, antibiotics vs F364
## 2024-09-24 04:04:01.991896 INFO::Creating boxplot for categorical data, antibiotics vs F583
## 2024-09-24 04:04:02.115352 INFO::Creating boxplot for categorical data, antibiotics vs F441
## 2024-09-24 04:04:02.234633 INFO::Creating boxplot for categorical data, antibiotics vs F595
## 2024-09-24 04:04:02.368611 INFO::Creating boxplot for categorical data, antibiotics vs F35
## 2024-09-24 04:04:02.489938 INFO::Creating boxplot for categorical data, antibiotics vs F630
## 2024-09-24 04:04:02.611157 INFO::Creating boxplot for categorical data, antibiotics vs F401
## 2024-09-24 04:04:02.72954 INFO::Creating boxplot for categorical data, antibiotics vs F287
## 2024-09-24 04:04:02.843863 INFO::Creating boxplot for categorical data, antibiotics vs F250
## 2024-09-24 04:04:02.975115 INFO::Creating boxplot for categorical data, antibiotics vs F239
## 2024-09-24 04:04:03.095264 INFO::Creating boxplot for categorical data, antibiotics vs F88
## 2024-09-24 04:04:03.22078 INFO::Creating boxplot for categorical data, antibiotics vs F752
## 2024-09-24 04:04:03.339634 INFO::Creating boxplot for categorical data, antibiotics vs F539
## 2024-09-24 04:04:03.454323 INFO::Creating boxplot for categorical data, antibiotics vs F69
## 2024-09-24 04:04:03.604378 INFO::Creating boxplot for categorical data, antibiotics vs F126
## 2024-09-24 04:04:03.731977 INFO::Creating boxplot for categorical data, antibiotics vs F362
## 2024-09-24 04:04:03.85164 INFO::Creating boxplot for categorical data, antibiotics vs F753
## 2024-09-24 04:04:03.973594 INFO::Creating boxplot for categorical data, antibiotics vs F469
## 2024-09-24 04:04:04.092008 INFO::Creating boxplot for categorical data, antibiotics vs F14
## 2024-09-24 04:04:04.207561 INFO::Creating boxplot for categorical data, antibiotics vs F803
## 2024-09-24 04:04:04.348835 INFO::Creating boxplot for categorical data, antibiotics vs F814
## 2024-09-24 04:04:04.468014 INFO::Creating boxplot for categorical data, antibiotics vs F449
## 2024-09-24 04:04:04.588738 INFO::Creating boxplot for categorical data, antibiotics vs F494
## 2024-09-24 04:04:04.706016 INFO::Creating boxplot for categorical data, antibiotics vs F439
## 2024-09-24 04:04:04.822496 INFO::Creating boxplot for categorical data, antibiotics vs F686
## 2024-09-24 04:04:04.961509 INFO::Creating boxplot for categorical data, antibiotics vs F591
## 2024-09-24 04:04:05.080097 INFO::Creating boxplot for categorical data, antibiotics vs F735
## 2024-09-24 04:04:05.19986 INFO::Creating boxplot for categorical data, antibiotics vs F111
## 2024-09-24 04:04:05.321259 INFO::Creating boxplot for categorical data, antibiotics vs F346
## 2024-09-24 04:04:05.437436 INFO::Creating boxplot for categorical data, antibiotics vs F29
## 2024-09-24 04:04:05.576803 INFO::Creating boxplot for categorical data, antibiotics vs F376
## 2024-09-24 04:04:05.697351 INFO::Creating boxplot for categorical data, antibiotics vs F414
## 2024-09-24 04:04:05.818014 INFO::Creating boxplot for categorical data, antibiotics vs F555
## 2024-09-24 04:04:05.938833 INFO::Creating boxplot for categorical data, antibiotics vs F517
## 2024-09-24 04:04:06.055951 INFO::Creating boxplot for categorical data, antibiotics vs F544
## 2024-09-24 04:04:06.184028 INFO::Creating boxplot for categorical data, antibiotics vs F339
## 2024-09-24 04:04:06.317584 INFO::Creating boxplot for categorical data, antibiotics vs F689
## 2024-09-24 04:04:06.43768 INFO::Creating boxplot for categorical data, antibiotics vs F391
## 2024-09-24 04:04:06.557043 INFO::Creating boxplot for categorical data, antibiotics vs F502
## 2024-09-24 04:04:06.676936 INFO::Creating boxplot for categorical data, antibiotics vs F298
## 2024-09-24 04:04:06.794092 INFO::Creating boxplot for categorical data, antibiotics vs F337
## 2024-09-24 04:04:06.938831 INFO::Creating boxplot for categorical data, antibiotics vs F773
## 2024-09-24 04:04:07.059214 INFO::Creating boxplot for categorical data, antibiotics vs F592
## 2024-09-24 04:04:07.180922 INFO::Creating boxplot for categorical data, antibiotics vs F307
## 2024-09-24 04:04:07.299867 INFO::Creating boxplot for categorical data, antibiotics vs F115
## 2024-09-24 04:04:07.415309 INFO::Creating boxplot for categorical data, antibiotics vs F739
## 2024-09-24 04:04:07.557804 INFO::Creating boxplot for categorical data, antibiotics vs F433
## 2024-09-24 04:04:07.684898 INFO::Creating boxplot for categorical data, antibiotics vs F384
## 2024-09-24 04:04:07.810548 INFO::Creating boxplot for categorical data, antibiotics vs F750
## 2024-09-24 04:04:07.933438 INFO::Creating boxplot for categorical data, antibiotics vs F762
## 2024-09-24 04:04:08.050614 INFO::Creating boxplot for categorical data, antibiotics vs F277
## 2024-09-24 04:04:08.192393 INFO::Creating boxplot for categorical data, antibiotics vs F871
## 2024-09-24 04:04:08.312595 INFO::Creating boxplot for categorical data, antibiotics vs F839
## 2024-09-24 04:04:08.434729 INFO::Creating boxplot for categorical data, antibiotics vs F127
## 2024-09-24 04:04:08.555916 INFO::Creating boxplot for categorical data, antibiotics vs F554
## 2024-09-24 04:04:08.673015 INFO::Creating boxplot for categorical data, antibiotics vs F676
## 2024-09-24 04:04:08.811062 INFO::Creating boxplot for categorical data, antibiotics vs F568
## 2024-09-24 04:04:08.932845 INFO::Creating boxplot for categorical data, antibiotics vs F137
## 2024-09-24 04:04:09.052824 INFO::Creating boxplot for categorical data, antibiotics vs F131
## 2024-09-24 04:04:09.176004 INFO::Creating boxplot for categorical data, antibiotics vs F60
## 2024-09-24 04:04:09.293229 INFO::Creating boxplot for categorical data, antibiotics vs F98
## 2024-09-24 04:04:09.411774 INFO::Creating boxplot for categorical data, antibiotics vs F672
## 2024-09-24 04:04:09.555881 INFO::Creating boxplot for categorical data, antibiotics vs F530
## 2024-09-24 04:04:09.675479 INFO::Creating boxplot for categorical data, antibiotics vs F809
## 2024-09-24 04:04:09.799012 INFO::Creating boxplot for categorical data, antibiotics vs F894
## 2024-09-24 04:04:09.918602 INFO::Creating boxplot for categorical data, antibiotics vs F22
## 2024-09-24 04:04:10.036065 INFO::Creating boxplot for categorical data, antibiotics vs F818
## 2024-09-24 04:04:10.181195 INFO::Creating boxplot for categorical data, antibiotics vs F559
## 2024-09-24 04:04:10.302039 INFO::Creating boxplot for categorical data, antibiotics vs F741
## 2024-09-24 04:04:10.426249 INFO::Creating boxplot for categorical data, antibiotics vs F398
## 2024-09-24 04:04:10.546955 INFO::Creating boxplot for categorical data, antibiotics vs F357
## 2024-09-24 04:04:10.667565 INFO::Creating boxplot for categorical data, antibiotics vs F119
## 2024-09-24 04:04:10.812678 INFO::Creating boxplot for categorical data, antibiotics vs F426
## 2024-09-24 04:04:10.933302 INFO::Creating boxplot for categorical data, antibiotics vs F204
## 2024-09-24 04:04:11.053594 INFO::Creating boxplot for categorical data, antibiotics vs F851
## 2024-09-24 04:04:11.171442 INFO::Creating boxplot for categorical data, antibiotics vs F657
## 2024-09-24 04:04:11.286897 INFO::Creating boxplot for categorical data, antibiotics vs F801
## 2024-09-24 04:04:11.430561 INFO::Creating boxplot for categorical data, antibiotics vs F754
## 2024-09-24 04:04:11.554771 INFO::Creating boxplot for categorical data, antibiotics vs F859
## 2024-09-24 04:04:11.675919 INFO::Creating boxplot for categorical data, antibiotics vs F480
## 2024-09-24 04:04:11.798079 INFO::Creating boxplot for categorical data, antibiotics vs F507
## 2024-09-24 04:04:11.914827 INFO::Creating boxplot for categorical data, antibiotics vs F207
## 2024-09-24 04:04:13.514409 INFO::Plotting data for metadata number 3, age
## 2024-09-24 04:04:13.515671 INFO::Creating scatter plot for continuous data, age vs F340
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:13.699698 INFO::Creating scatter plot for continuous data, age vs F603
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:13.878871 INFO::Creating scatter plot for continuous data, age vs F356
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:14.011992 INFO::Creating scatter plot for continuous data, age vs F181
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:14.127598 INFO::Creating scatter plot for continuous data, age vs F177
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:14.27758 INFO::Creating scatter plot for continuous data, age vs F390
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:14.407215 INFO::Creating scatter plot for continuous data, age vs F743
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:14.528224 INFO::Creating scatter plot for continuous data, age vs F491
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:14.658711 INFO::Creating scatter plot for continuous data, age vs F436
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:14.774749 INFO::Creating scatter plot for continuous data, age vs F219
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:14.917978 INFO::Creating scatter plot for continuous data, age vs F483
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:15.04649 INFO::Creating scatter plot for continuous data, age vs F878
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:15.174852 INFO::Creating scatter plot for continuous data, age vs F876
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:15.302511 INFO::Creating scatter plot for continuous data, age vs F211
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:15.450907 INFO::Creating scatter plot for continuous data, age vs F732
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:15.577276 INFO::Creating scatter plot for continuous data, age vs F222
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:15.705056 INFO::Creating scatter plot for continuous data, age vs F688
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:15.832674 INFO::Creating scatter plot for continuous data, age vs F170
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:15.956781 INFO::Creating scatter plot for continuous data, age vs F431
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:16.105705 INFO::Creating scatter plot for continuous data, age vs F174
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:16.223396 INFO::Creating scatter plot for continuous data, age vs F17
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:16.343854 INFO::Creating scatter plot for continuous data, age vs F334
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:16.469689 INFO::Creating scatter plot for continuous data, age vs F835
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:16.607293 INFO::Creating scatter plot for continuous data, age vs F223
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:16.733775 INFO::Creating scatter plot for continuous data, age vs F383
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:16.852299 INFO::Creating scatter plot for continuous data, age vs F623
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:16.977582 INFO::Creating scatter plot for continuous data, age vs F329
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:17.104495 INFO::Creating scatter plot for continuous data, age vs F395
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:17.798658 INFO::Creating scatter plot for continuous data, age vs F528
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:17.909936 INFO::Creating scatter plot for continuous data, age vs F13
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:18.024837 INFO::Creating scatter plot for continuous data, age vs F36
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:18.140718 INFO::Creating scatter plot for continuous data, age vs F285
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:18.274452 INFO::Creating scatter plot for continuous data, age vs F404
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:18.385772 INFO::Creating scatter plot for continuous data, age vs F894
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:18.507266 INFO::Creating scatter plot for continuous data, age vs F300
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:18.63318 INFO::Creating scatter plot for continuous data, age vs F32
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:18.756634 INFO::Creating scatter plot for continuous data, age vs F24
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:18.883906 INFO::Creating scatter plot for continuous data, age vs F97
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:18.993715 INFO::Creating scatter plot for continuous data, age vs F849
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:19.108597 INFO::Creating scatter plot for continuous data, age vs F185
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:19.228717 INFO::Creating scatter plot for continuous data, age vs F513
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:19.349375 INFO::Creating scatter plot for continuous data, age vs F296
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:19.478048 INFO::Creating scatter plot for continuous data, age vs F471
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:19.598646 INFO::Creating scatter plot for continuous data, age vs F793
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:19.720523 INFO::Creating scatter plot for continuous data, age vs F402
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:19.840672 INFO::Creating scatter plot for continuous data, age vs F541
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:19.960731 INFO::Creating scatter plot for continuous data, age vs F496
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:20.082126 INFO::Creating scatter plot for continuous data, age vs F386
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:20.19321 INFO::Creating scatter plot for continuous data, age vs F594
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:20.313433 INFO::Creating scatter plot for continuous data, age vs F704
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:20.425764 INFO::Creating scatter plot for continuous data, age vs F330
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:20.554612 INFO::Creating scatter plot for continuous data, age vs F197
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:20.674487 INFO::Creating scatter plot for continuous data, age vs F735
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:20.794027 INFO::Creating scatter plot for continuous data, age vs F481
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:20.905753 INFO::Creating scatter plot for continuous data, age vs F635
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:21.025966 INFO::Creating scatter plot for continuous data, age vs F687
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:21.15488 INFO::Creating scatter plot for continuous data, age vs F652
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:21.27417 INFO::Creating scatter plot for continuous data, age vs F651
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:21.395011 INFO::Creating scatter plot for continuous data, age vs F82
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:21.511896 INFO::Creating scatter plot for continuous data, age vs F7
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:21.623473 INFO::Creating scatter plot for continuous data, age vs F866
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:21.750995 INFO::Creating scatter plot for continuous data, age vs F593
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:21.861386 INFO::Creating scatter plot for continuous data, age vs F733
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:21.973094 INFO::Creating scatter plot for continuous data, age vs F684
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:22.09398 INFO::Creating scatter plot for continuous data, age vs F410
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:22.20654 INFO::Creating scatter plot for continuous data, age vs F224
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:22.333827 INFO::Creating scatter plot for continuous data, age vs F722
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:22.452746 INFO::Creating scatter plot for continuous data, age vs F856
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:22.566636 INFO::Creating scatter plot for continuous data, age vs F680
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:22.677758 INFO::Creating scatter plot for continuous data, age vs F19
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:22.805517 INFO::Creating scatter plot for continuous data, age vs F860
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:22.915344 INFO::Creating scatter plot for continuous data, age vs F859
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:23.036693 INFO::Creating scatter plot for continuous data, age vs F522
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:23.158499 INFO::Creating scatter plot for continuous data, age vs F372
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:23.279108 INFO::Creating scatter plot for continuous data, age vs F899
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:23.398718 INFO::Creating scatter plot for continuous data, age vs F782
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:23.521162 INFO::Creating scatter plot for continuous data, age vs F839
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:23.643646 INFO::Creating scatter plot for continuous data, age vs F827
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:23.763167 INFO::Creating scatter plot for continuous data, age vs F817
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:23.884201 INFO::Creating scatter plot for continuous data, age vs F345
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:24.005977 INFO::Creating scatter plot for continuous data, age vs F127
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:24.126947 INFO::Creating scatter plot for continuous data, age vs F749
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:24.247175 INFO::Creating scatter plot for continuous data, age vs F877
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:24.366522 INFO::Creating scatter plot for continuous data, age vs F150
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:24.496619 INFO::Creating scatter plot for continuous data, age vs F752
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:24.607053 INFO::Creating scatter plot for continuous data, age vs F848
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:24.71746 INFO::Creating scatter plot for continuous data, age vs F809
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:24.837653 INFO::Creating scatter plot for continuous data, age vs F751
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:24.949949 INFO::Creating scatter plot for continuous data, age vs F15
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:25.069459 INFO::Creating scatter plot for continuous data, age vs F521
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:25.179757 INFO::Creating scatter plot for continuous data, age vs F842
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:25.300483 INFO::Creating scatter plot for continuous data, age vs F319
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:25.421281 INFO::Creating scatter plot for continuous data, age vs F96
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:25.542381 INFO::Creating scatter plot for continuous data, age vs F171
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:25.671847 INFO::Creating scatter plot for continuous data, age vs F241
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:25.783627 INFO::Creating scatter plot for continuous data, age vs F582
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:25.898093 INFO::Creating scatter plot for continuous data, age vs F822
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:26.009939 INFO::Creating scatter plot for continuous data, age vs F748
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:26.130396 INFO::Creating scatter plot for continuous data, age vs F147
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:26.250016 INFO::Creating scatter plot for continuous data, age vs F16
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:26.361909 INFO::Creating scatter plot for continuous data, age vs F212
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:26.482981 INFO::Creating scatter plot for continuous data, age vs F718
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:26.603909 INFO::Creating scatter plot for continuous data, age vs F663
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:26.723235 INFO::Creating scatter plot for continuous data, age vs F690
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:26.844605 INFO::Creating scatter plot for continuous data, age vs F865
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:26.956141 INFO::Creating scatter plot for continuous data, age vs F421
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:27.06707 INFO::Creating scatter plot for continuous data, age vs F110
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:27.18933 INFO::Creating scatter plot for continuous data, age vs F857
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:27.321853 INFO::Creating scatter plot for continuous data, age vs F84
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:27.440212 INFO::Creating scatter plot for continuous data, age vs F123
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:27.55318 INFO::Creating scatter plot for continuous data, age vs F566
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:27.665079 INFO::Creating scatter plot for continuous data, age vs F370
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:27.787244 INFO::Creating scatter plot for continuous data, age vs F65
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:27.896824 INFO::Creating scatter plot for continuous data, age vs F119
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:28.007599 INFO::Creating scatter plot for continuous data, age vs F263
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:28.119711 INFO::Creating scatter plot for continuous data, age vs F630
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:28.240983 INFO::Creating scatter plot for continuous data, age vs F628
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:28.361139 INFO::Creating scatter plot for continuous data, age vs F711
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:28.480479 INFO::Creating scatter plot for continuous data, age vs F152
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:28.601305 INFO::Creating scatter plot for continuous data, age vs F324
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:28.721878 INFO::Creating scatter plot for continuous data, age vs F575
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:28.835969 INFO::Creating scatter plot for continuous data, age vs F699
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:28.96762 INFO::Creating scatter plot for continuous data, age vs F846
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:29.090446 INFO::Creating scatter plot for continuous data, age vs F380
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:29.212965 INFO::Creating scatter plot for continuous data, age vs F172
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:29.334961 INFO::Creating scatter plot for continuous data, age vs F504
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:29.481184 INFO::Creating scatter plot for continuous data, age vs F34
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:29.595912 INFO::Creating scatter plot for continuous data, age vs F199
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:29.719309 INFO::Creating scatter plot for continuous data, age vs F198
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:29.842993 INFO::Creating scatter plot for continuous data, age vs F479
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:29.963654 INFO::Creating scatter plot for continuous data, age vs F673
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:30.093232 INFO::Creating scatter plot for continuous data, age vs F508
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:30.215548 INFO::Creating scatter plot for continuous data, age vs F337
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:30.337446 INFO::Creating scatter plot for continuous data, age vs F737
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:30.456981 INFO::Creating scatter plot for continuous data, age vs F609
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:30.577039 INFO::Creating scatter plot for continuous data, age vs F40
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:30.705889 INFO::Creating scatter plot for continuous data, age vs F821
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:30.829289 INFO::Creating scatter plot for continuous data, age vs F643
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:30.941118 INFO::Creating scatter plot for continuous data, age vs F759
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:31.053255 INFO::Creating scatter plot for continuous data, age vs F417
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:31.190909 INFO::Creating scatter plot for continuous data, age vs F58
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:31.314911 INFO::Creating scatter plot for continuous data, age vs F267
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:31.435844 INFO::Creating scatter plot for continuous data, age vs F101
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:31.54879 INFO::Creating scatter plot for continuous data, age vs F890
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:31.670762 INFO::Creating scatter plot for continuous data, age vs F655
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:31.808447 INFO::Creating scatter plot for continuous data, age vs F95
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:31.920294 INFO::Creating scatter plot for continuous data, age vs F775
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:32.032007 INFO::Creating scatter plot for continuous data, age vs F93
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:32.153469 INFO::Creating scatter plot for continuous data, age vs F353
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:32.266218 INFO::Creating scatter plot for continuous data, age vs F480
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:32.403247 INFO::Creating scatter plot for continuous data, age vs F567
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:32.523849 INFO::Creating scatter plot for continuous data, age vs F871
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:32.647285 INFO::Creating scatter plot for continuous data, age vs F295
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:32.759465 INFO::Creating scatter plot for continuous data, age vs F459
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:32.892274 INFO::Creating scatter plot for continuous data, age vs F812
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:33.018101 INFO::Creating scatter plot for continuous data, age vs F146
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:33.12964 INFO::Creating scatter plot for continuous data, age vs F239
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:33.251053 INFO::Creating scatter plot for continuous data, age vs F754
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:33.370959 INFO::Creating scatter plot for continuous data, age vs F443
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:33.498102 INFO::Creating scatter plot for continuous data, age vs F5
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:33.622808 INFO::Creating scatter plot for continuous data, age vs F864
## `geom_smooth()` using formula = 'y ~ x'
## 2024-09-24 04:04:33.735647 INFO::Creating scatter plot for continuous data, age vs F477
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:33.855804 INFO::Creating scatter plot for continuous data, age vs F571
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-09-24 04:04:33.976823 INFO::Creating scatter plot for continuous data, age vs F715
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## Initiating effect size calculations
## 
## Calculating mean abundance in: IBD
## 
## Calculating mean abundance in: Control
## 
## Calculating effect size in: IBD
## 
## Initiating prioritization
## 
## Calculating meta-rank and prioritizing metabolic features
## 2024-09-24 04:04:35.578651 INFO::Writing all prioritized metabolites to file: Macarron_output/prioritized_metabolites_all.csv
## 2024-09-24 04:04:35.584115 INFO::Writing characterizable prioritized metabolites to file: Macarron_output/prioritized_metabolites_characterizable.csv
## 2024-09-24 04:04:35.59862 INFO::Writing highly prioritized metabolites in IBD to file: Macarron_output/highly_prioritized_per_module_in_IBD.csv

Using dataframes as inputs

abundances_df = read.csv(file = prism_abundances, row.names = 1) # setting features as rownames
annotations_df = read.csv(file = prism_annotations, row.names = 1) # setting features as rownames
metadata_df = read.csv(file = prism_metadata, row.names = 1) # setting samples as rownames 
taxonomy_df = read.csv(file = mets_taxonomy)

# Running Macarron
prism_prioritized <- Macarron::Macarron(input_abundances = abundances_df,
                                        input_annotations = annotations_df,
                                        input_metadata = metadata_df,
                                        input_taxonomy = taxonomy_df)

Running Macarron as individual functions

The Macarron::Macarron() function is a wrapper for the Macarron framework. Users can also apply individual functions on the input dataframes to achieve same results as the wrapper with the added benefit of storing output from each function for other analyses. There are seven steps:

# Step 1: Storing input data in a summarized experiment object
prism_mbx <- prepInput(input_abundances = abundances_df,
                       input_annotations = annotations_df,
                       input_metadata = metadata_df)

# Step 2: Creating a distance matrix from pairwise correlations in abundances of metabolic features
prism_w <- makeDisMat(se = prism_mbx)

# Step 3: Finding covariance modules
prism_modules <- findMacMod(se = prism_mbx,
                            w = prism_w,
                            input_taxonomy = taxonomy_df)
# The output is a list containing two dataframes- module assignments and measures of success
# if evaluateMOS=TRUE. To write modules to a separate dataframe, do:
prism_module_assignments <- prism_modules[[1]]
prism_modules_mos <- prism_modules[[2]]

# Step 4: Calculating AVA
prism_ava <- calAVA(se = prism_mbx,
                    mod.assn = prism_modules)

# Step 5: Calculating q-value
prism_qval <- calQval(se = prism_mbx,
                      mod.assn = prism_modules)

# Step 6: Calculating effect size
prism_es <- calES(se = prism_mbx,
                   mac.qval = prism_qval)

# Step 7: Prioritizing metabolic features
prism_prioritized <- prioritize(se = prism_mbx,
                                mod.assn = prism_modules,
                                mac.ava = prism_ava,
                                mac.qval = prism_qval,
                                mac.es = prism_es)
# The output is a list containing two dataframes- all prioritized metabolic features and
# only characterizable metabolic features.
all_prioritized <- prism_prioritized[[1]]
char_prioritized <- prism_prioritized[[2]]

# Step 8 (optional): View only the highly prioritized metabolic features in each module
prism_highly_prioritized <- showBest(prism_prioritized)

Session info from running the demo in R can be displayed with the following command.

sessionInfo()
## R version 4.4.1 (2024-06-14)
## Platform: x86_64-pc-linux-gnu
## Running under: Ubuntu 24.04.1 LTS
## 
## Matrix products: default
## BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3 
## LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.26.so;  LAPACK version 3.12.0
## 
## locale:
##  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
##  [3] LC_TIME=en_US.UTF-8        LC_COLLATE=C              
##  [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
##  [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 
##  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
## [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       
## 
## time zone: Etc/UTC
## tzcode source: system (glibc)
## 
## attached base packages:
## [1] stats4    stats     graphics  grDevices utils     datasets  methods  
## [8] base     
## 
## other attached packages:
##  [1] Macarron_1.9.1              SummarizedExperiment_1.35.1
##  [3] Biobase_2.65.1              GenomicRanges_1.57.1       
##  [5] GenomeInfoDb_1.41.1         IRanges_2.39.2             
##  [7] S4Vectors_0.43.2            BiocGenerics_0.51.1        
##  [9] MatrixGenerics_1.17.0       matrixStats_1.4.1          
## [11] BiocStyle_2.33.1           
## 
## loaded via a namespace (and not attached):
##   [1] mnormt_2.1.1            DBI_1.2.3               pbapply_1.7-2          
##   [4] gridExtra_2.3           rlang_1.1.4             magrittr_2.0.3         
##   [7] compiler_4.4.1          RSQLite_2.3.7           mgcv_1.9-1             
##  [10] png_0.1-8               vctrs_0.6.5             stringr_1.5.1          
##  [13] pkgconfig_2.0.3         crayon_1.5.3            fastmap_1.2.0          
##  [16] backports_1.5.0         XVector_0.45.0          labeling_0.4.3         
##  [19] utf8_1.2.4              rmarkdown_2.28          preprocessCore_1.67.0  
##  [22] UCSC.utils_1.1.0        bit_4.5.0               xfun_0.47              
##  [25] zlibbioc_1.51.1         cachem_1.1.0            jsonlite_1.8.9         
##  [28] blob_1.2.4              DelayedArray_0.31.11    BiocParallel_1.39.0    
##  [31] psych_2.4.6.26          Maaslin2_1.19.0         parallel_4.4.1         
##  [34] cluster_2.1.6           biglm_0.9-3             R6_2.5.1               
##  [37] RColorBrewer_1.1-3      stringi_1.8.4           bslib_0.8.0            
##  [40] rpart_4.1.23            jquerylib_0.1.4         Rcpp_1.0.13            
##  [43] iterators_1.0.14        knitr_1.48              WGCNA_1.73             
##  [46] base64enc_0.1-3         Matrix_1.7-0            splines_4.4.1          
##  [49] nnet_7.3-19             tidyselect_1.2.1        rstudioapi_0.16.0      
##  [52] abind_1.4-8             yaml_2.3.10             doParallel_1.0.17      
##  [55] codetools_0.2-20        plyr_1.8.9              lattice_0.22-6         
##  [58] tibble_3.2.1            withr_3.0.1             KEGGREST_1.45.1        
##  [61] evaluate_1.0.0          foreign_0.8-87          survival_3.7-0         
##  [64] getopt_1.20.4           Biostrings_2.73.1       pillar_1.9.0           
##  [67] BiocManager_1.30.25     checkmate_2.3.2         foreach_1.5.2          
##  [70] pcaPP_2.0-5             generics_0.1.3          ggplot2_3.5.1          
##  [73] munsell_0.5.1           scales_1.3.0            glue_1.7.0             
##  [76] Hmisc_5.1-3             maketools_1.3.0         tools_4.4.1            
##  [79] robustbase_0.99-4       sys_3.4.2               data.table_1.16.0      
##  [82] mvtnorm_1.3-1           buildtools_1.0.0        fastcluster_1.2.6      
##  [85] grid_4.4.1              optparse_1.7.5          impute_1.79.0          
##  [88] AnnotationDbi_1.67.0    colorspace_2.1-1        nlme_3.1-166           
##  [91] GenomeInfoDbData_1.2.12 htmlTable_2.4.3         Formula_1.2-5          
##  [94] cli_3.6.3               fansi_1.0.6             S4Arrays_1.5.8         
##  [97] dplyr_1.1.4             DEoptimR_1.1-3          gtable_0.3.5           
## [100] hash_2.2.6.3            logging_0.10-108        dynamicTreeCut_1.63-1  
## [103] sass_0.4.9              digest_0.6.37           SparseArray_1.5.38     
## [106] farver_2.1.2            htmlwidgets_1.6.4       memoise_2.0.1          
## [109] htmltools_0.5.8.1       lifecycle_1.0.4         httr_1.4.7             
## [112] GO.db_3.19.1            bit64_4.5.2

Advanced Topics

Generating the input chemical taxonomy file

The input taxonomy dataframe can be generated using the input metabolic features annotation dataframe using Macarron::decorateID(). This function annotates an HMDB ID or a PubChem CID with the chemical class and subclass of the metabolite.

taxonomy_df <- decorateID(input_annotations = annotations_df)
write.csv(taxonomy_df, file="demo_taxonomy.csv", row.names = FALSE)

Accessory output files

Macarron.log

A record of all chosen parameters and steps that were followed during execution.

modules_measures_of_success.csv

This file provides information about the properties of covariance modules used in the analysis. By default, modules are generated using a minimum module size (MMS) (argument: min_module_size) equal to cube root of the total number of prevalent metabolic features. Macarron evaluates 9 measures of success (MOS) that collectively capture the “correctness” and chemical homogeneity of the modules. The MOS are as follows:

  • Total modules: Number of modules.
  • Singletons: Number of metabolic features that were not assigned to any module at MMS.
  • % Annotated modules: Percentage of modules that contained at least one annotated metabolic feature.
  • % Consistent assignments: Percentage of times the same metabolic feature was assigned to the same module e.g. if three metabolic features represent glucose, they should all be in the same module. This percentage must be high.
  • Max classes per module: The highest number of chemical classes observed in any module. This is evaluated using the chemical taxonomy of covarying annotated features.
  • 90p classes per module: 90th percentile of classes per module; captures the chemical homogeneity of the modules.
  • Max subclasses per module: The highest number of chemical subclasses observed in any module.
  • 90p subclasses per module: 90th percentile of subclasses per module; captures the chemical homogeneity of the modules.
  • % Features in HAM: Macarron first finds homogeneously annoted modules (HAMs): These are modules in which >75% annotated features have the same chemical class indicating that they are chemically homogeneous. It then calculates how many features the HAMs account for.

Maaslin2 results

This folder contains the Maaslin2 log file (maaslin2.log), significant associations found by Maaslin2 (significant_results.tsv) and the linear model residuals file (residuals.rds). For more information, see Maaslin2.

Changing defaults

Filtering metabolic features based on prevalence

Ideally, at least 50% metabolic features must be retained after prevalence filtering. By default, Macarron uses the union of metabolic features observed (non-zero abundance) in at least 70% samples of any phenotype for further analysis. This prevalence threshold may be high for some metabolomics datasets and can be changed using the min_prevalence argument.

prism_prioritized <- Macarron::Macarron(input_abundances = abundances_df,
                                        input_annotations = annotations_df,
                                        input_metadata = metadata_df,
                                        input_taxonomy = taxonomy_df,
                                        min_prevalence = 0.5)
# or
prism_w <- makeDisMat(se = prism_mbx,
                      min_prevalence = 0.5)

Minimum module size

By default, cube root of the total number of prevalent features is used as the minimum module size (MMS) (argument: min_module_size) for module detection and generation. We expect this to work for most real world datasets. To determine if the modules are optimal for further analysis, Macarron evaluates several measures of success (MOS) as described above. In addition to evaluating MOS for modules generated using the default MMS, Macarron also evaluates MOS for MMS values that are larger (MMS+5, MMS+10) and smaller (MMS-5, MMS-10) than the default MMS. If you find that the MOS improve with larger or smaller MMS, you may change the default accordingly. For more details about module detection, please see WGCNA and dynamicTreeCut.

# See MOS of modules generated using default
prism_modules <- findMacMod(se = prism_mbx,
                            w = prism_w,
                            input_taxonomy = taxonomy_df)
prism_modules_mos <- prism_modules[[2]]
View(prism_modules_mos)

# Change MMS
prism_modules <- findMacMod(se = prism_mbx,
                            w = prism_w,
                            input_taxonomy = taxonomy_df,
                            min_module_size = 10)

Specifying fixed effects, random effects and reference

Macarron uses Maaslin2 for determining the q-value of differential abundance in a phenotype of interest. For default execution, the phenotype of interest must be a category in column 1 of the metadata dataframe e.g. IBD in diagnosis in the demo. This is also the column that is picked by the metadata_variable argument for identifying the main phenotypes/conditions in any dataset (see Macarron.log file). Further, in the default execution, all columns in the metadata table are considered as fixed effects and the alphabetically first categorical variable in each covariate with two categories is considered as the reference. Maaslin2 requires reference categories to be explicitly defined for all categorical metadata with more than two categories. Defaults can be changed with the arguments fixed_effects, random_effects and reference. In the demo example, fixed effects and reference can be defined as follows:

prism_qval <- calQval(se = prism_mbx,
                      mod.assn = prism_modules,
                      metadata_variable = "diagnosis",
                      fixed_effects = c("diagnosis","age","antibiotics"),
                      reference = c("diagnosis,Control";"antibiotics,No"))

Command line invocation

The package source contains a script MacarronCMD.R in inst/scripts to invoke Macarron in the command line using Rscript. The inst/scripts folder also contains a README file that comprehensively documents the usage of the script.