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':
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##     colDiffs, colIQRDiffs, colIQRs, colLogSumExps, colMadDiffs,
##     colMads, colMaxs, colMeans2, colMedians, colMins, colOrderStats,
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##     colWeightedMeans, colWeightedMedians, colWeightedSds,
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##     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,
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## Loading required package: GenomicRanges
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## Loading required package: S4Vectors
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## Attaching package: 'S4Vectors'
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## Loading required package: IRanges
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## Loading required package: Biobase
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## Attaching package: 'Biobase'
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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)
## 2024-10-30 09:16:14.022977 INFO::Creating output folder.
## 2024-10-30 09:16:14.032121 INFO::Writing function arguments to log file
## Samples with both abundances and metadata: 102
## 2024-10-30 09:16:14.419066 INFO::Summarized Experiment created.
## 2024-10-30 09:16:14.420074 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.
## 2024-10-30 09:16:17.387925 INFO::Distance matrix with 869 metabolic features created.
## Initiating module detection
## 2024-10-30 09:16:17.388846 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.
## 2024-10-30 09:16:18.753605 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"
## 2024-10-30 09:16:20.070103 INFO::Writing function arguments to log file
## 2024-10-30 09:16:20.0739 INFO::Verifying options selected are valid
## 2024-10-30 09:16:20.09923 INFO::Determining format of input files
## 2024-10-30 09:16:20.099872 INFO::Input format is data samples as columns and metadata samples as rows
## 2024-10-30 09:16:20.110441 INFO::Formula for fixed effects: expr ~  diagnosis + age + antibiotics
## 2024-10-30 09:16:20.111433 INFO::Filter data based on min abundance and min prevalence
## 2024-10-30 09:16:20.11193 INFO::Total samples in data: 102
## 2024-10-30 09:16:20.112365 INFO::Min samples required with min abundance for a feature not to be filtered: 0.000000
## 2024-10-30 09:16:20.120356 INFO::Total filtered features: 0
## 2024-10-30 09:16:20.120887 INFO::Filtered feature names from abundance and prevalence filtering:
## 2024-10-30 09:16:20.132962 INFO::Total filtered features with variance filtering: 0
## 2024-10-30 09:16:20.133488 INFO::Filtered feature names from variance filtering:
## 2024-10-30 09:16:20.133914 INFO::Running selected normalization method: NONE
## 2024-10-30 09:16:20.134369 INFO::Applying z-score to standardize continuous metadata
## 2024-10-30 09:16:20.147551 INFO::Running selected transform method: NONE
## 2024-10-30 09:16:20.148097 INFO::Running selected analysis method: LM
## 2024-10-30 09:16:20.151421 INFO::Fitting model to feature number 1, F1
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## 2024-10-30 09:16:20.522749 INFO::Fitting model to feature number 161, F167
## 2024-10-30 09:16:20.525117 INFO::Fitting model to feature number 162, F168
## 2024-10-30 09:16:20.527439 INFO::Fitting model to feature number 163, F169
## 2024-10-30 09:16:20.529793 INFO::Fitting model to feature number 164, F170
## 2024-10-30 09:16:20.532145 INFO::Fitting model to feature number 165, F171
## 2024-10-30 09:16:20.534493 INFO::Fitting model to feature number 166, F172
## 2024-10-30 09:16:20.536828 INFO::Fitting model to feature number 167, F173
## 2024-10-30 09:16:20.539174 INFO::Fitting model to feature number 168, F174
## 2024-10-30 09:16:20.541559 INFO::Fitting model to feature number 169, F175
## 2024-10-30 09:16:20.543905 INFO::Fitting model to feature number 170, F176
## 2024-10-30 09:16:20.546237 INFO::Fitting model to feature number 171, F177
## 2024-10-30 09:16:20.54861 INFO::Fitting model to feature number 172, F178
## 2024-10-30 09:16:20.550943 INFO::Fitting model to feature number 173, F179
## 2024-10-30 09:16:20.553391 INFO::Fitting model to feature number 174, F180
## 2024-10-30 09:16:20.555754 INFO::Fitting model to feature number 175, F181
## 2024-10-30 09:16:20.55812 INFO::Fitting model to feature number 176, F182
## 2024-10-30 09:16:20.560448 INFO::Fitting model to feature number 177, F183
## 2024-10-30 09:16:20.562786 INFO::Fitting model to feature number 178, F184
## 2024-10-30 09:16:20.56515 INFO::Fitting model to feature number 179, F185
## 2024-10-30 09:16:20.567476 INFO::Fitting model to feature number 180, F186
## 2024-10-30 09:16:20.569834 INFO::Fitting model to feature number 181, F187
## 2024-10-30 09:16:20.572195 INFO::Fitting model to feature number 182, F188
## 2024-10-30 09:16:20.574519 INFO::Fitting model to feature number 183, F189
## 2024-10-30 09:16:20.576867 INFO::Fitting model to feature number 184, F190
## 2024-10-30 09:16:20.579217 INFO::Fitting model to feature number 185, F191
## 2024-10-30 09:16:20.581579 INFO::Fitting model to feature number 186, F192
## 2024-10-30 09:16:20.583934 INFO::Fitting model to feature number 187, F193
## 2024-10-30 09:16:20.586258 INFO::Fitting model to feature number 188, F194
## 2024-10-30 09:16:20.588623 INFO::Fitting model to feature number 189, F195
## 2024-10-30 09:16:20.590955 INFO::Fitting model to feature number 190, F196
## 2024-10-30 09:16:20.593302 INFO::Fitting model to feature number 191, F197
## 2024-10-30 09:16:20.595612 INFO::Fitting model to feature number 192, F198
## 2024-10-30 09:16:20.612164 INFO::Fitting model to feature number 193, F199
## 2024-10-30 09:16:20.614552 INFO::Fitting model to feature number 194, F200
## 2024-10-30 09:16:20.616764 INFO::Fitting model to feature number 195, F201
## 2024-10-30 09:16:20.618928 INFO::Fitting model to feature number 196, F202
## 2024-10-30 09:16:20.621118 INFO::Fitting model to feature number 197, F203
## 2024-10-30 09:16:20.6233 INFO::Fitting model to feature number 198, F204
## 2024-10-30 09:16:20.625547 INFO::Fitting model to feature number 199, F206
## 2024-10-30 09:16:20.627738 INFO::Fitting model to feature number 200, F207
## 2024-10-30 09:16:20.629929 INFO::Fitting model to feature number 201, F208
## 2024-10-30 09:16:20.632121 INFO::Fitting model to feature number 202, F209
## 2024-10-30 09:16:20.634278 INFO::Fitting model to feature number 203, F210
## 2024-10-30 09:16:20.636478 INFO::Fitting model to feature number 204, F211
## 2024-10-30 09:16:20.638649 INFO::Fitting model to feature number 205, F212
## 2024-10-30 09:16:20.640859 INFO::Fitting model to feature number 206, F213
## 2024-10-30 09:16:20.643033 INFO::Fitting model to feature number 207, F214
## 2024-10-30 09:16:20.645206 INFO::Fitting model to feature number 208, F215
## 2024-10-30 09:16:20.647368 INFO::Fitting model to feature number 209, F216
## 2024-10-30 09:16:20.649555 INFO::Fitting model to feature number 210, F217
## 2024-10-30 09:16:20.651719 INFO::Fitting model to feature number 211, F218
## 2024-10-30 09:16:20.653955 INFO::Fitting model to feature number 212, F219
## 2024-10-30 09:16:20.656167 INFO::Fitting model to feature number 213, F220
## 2024-10-30 09:16:20.658333 INFO::Fitting model to feature number 214, F221
## 2024-10-30 09:16:20.660552 INFO::Fitting model to feature number 215, F222
## 2024-10-30 09:16:20.66273 INFO::Fitting model to feature number 216, F223
## 2024-10-30 09:16:20.664959 INFO::Fitting model to feature number 217, F224
## 2024-10-30 09:16:20.667124 INFO::Fitting model to feature number 218, F225
## 2024-10-30 09:16:20.669337 INFO::Fitting model to feature number 219, F226
## 2024-10-30 09:16:20.671508 INFO::Fitting model to feature number 220, F227
## 2024-10-30 09:16:20.673745 INFO::Fitting model to feature number 221, F228
## 2024-10-30 09:16:20.675957 INFO::Fitting model to feature number 222, F229
## 2024-10-30 09:16:20.678208 INFO::Fitting model to feature number 223, F230
## 2024-10-30 09:16:20.680425 INFO::Fitting model to feature number 224, F231
## 2024-10-30 09:16:20.682626 INFO::Fitting model to feature number 225, F232
## 2024-10-30 09:16:20.684867 INFO::Fitting model to feature number 226, F233
## 2024-10-30 09:16:20.687055 INFO::Fitting model to feature number 227, F234
## 2024-10-30 09:16:20.689274 INFO::Fitting model to feature number 228, F235
## 2024-10-30 09:16:20.691468 INFO::Fitting model to feature number 229, F236
## 2024-10-30 09:16:20.693676 INFO::Fitting model to feature number 230, F237
## 2024-10-30 09:16:20.695845 INFO::Fitting model to feature number 231, F238
## 2024-10-30 09:16:20.698085 INFO::Fitting model to feature number 232, F239
## 2024-10-30 09:16:20.700337 INFO::Fitting model to feature number 233, F240
## 2024-10-30 09:16:20.702567 INFO::Fitting model to feature number 234, F241
## 2024-10-30 09:16:20.704803 INFO::Fitting model to feature number 235, F242
## 2024-10-30 09:16:20.706986 INFO::Fitting model to feature number 236, F243
## 2024-10-30 09:16:20.709195 INFO::Fitting model to feature number 237, F244
## 2024-10-30 09:16:20.711394 INFO::Fitting model to feature number 238, F245
## 2024-10-30 09:16:20.713611 INFO::Fitting model to feature number 239, F246
## 2024-10-30 09:16:20.715807 INFO::Fitting model to feature number 240, F247
## 2024-10-30 09:16:20.718008 INFO::Fitting model to feature number 241, F248
## 2024-10-30 09:16:20.720227 INFO::Fitting model to feature number 242, F249
## 2024-10-30 09:16:20.722441 INFO::Fitting model to feature number 243, F250
## 2024-10-30 09:16:20.72469 INFO::Fitting model to feature number 244, F252
## 2024-10-30 09:16:20.726876 INFO::Fitting model to feature number 245, F253
## 2024-10-30 09:16:20.729115 INFO::Fitting model to feature number 246, F254
## 2024-10-30 09:16:20.731297 INFO::Fitting model to feature number 247, F255
## 2024-10-30 09:16:20.733524 INFO::Fitting model to feature number 248, F256
## 2024-10-30 09:16:20.735701 INFO::Fitting model to feature number 249, F257
## 2024-10-30 09:16:20.737931 INFO::Fitting model to feature number 250, F259
## 2024-10-30 09:16:20.740155 INFO::Fitting model to feature number 251, F260
## 2024-10-30 09:16:20.742334 INFO::Fitting model to feature number 252, F261
## 2024-10-30 09:16:20.744563 INFO::Fitting model to feature number 253, F262
## 2024-10-30 09:16:20.746728 INFO::Fitting model to feature number 254, F263
## 2024-10-30 09:16:20.748949 INFO::Fitting model to feature number 255, F264
## 2024-10-30 09:16:20.751219 INFO::Fitting model to feature number 256, F265
## 2024-10-30 09:16:20.753452 INFO::Fitting model to feature number 257, F266
## 2024-10-30 09:16:20.755621 INFO::Fitting model to feature number 258, F267
## 2024-10-30 09:16:20.757828 INFO::Fitting model to feature number 259, F269
## 2024-10-30 09:16:20.760058 INFO::Fitting model to feature number 260, F270
## 2024-10-30 09:16:20.762235 INFO::Fitting model to feature number 261, F271
## 2024-10-30 09:16:20.764478 INFO::Fitting model to feature number 262, F272
## 2024-10-30 09:16:20.766647 INFO::Fitting model to feature number 263, F273
## 2024-10-30 09:16:20.768862 INFO::Fitting model to feature number 264, F274
## 2024-10-30 09:16:20.77103 INFO::Fitting model to feature number 265, F276
## 2024-10-30 09:16:20.773251 INFO::Fitting model to feature number 266, F277
## 2024-10-30 09:16:20.775409 INFO::Fitting model to feature number 267, F278
## 2024-10-30 09:16:20.77763 INFO::Fitting model to feature number 268, F279
## 2024-10-30 09:16:20.779806 INFO::Fitting model to feature number 269, F280
## 2024-10-30 09:16:20.781986 INFO::Fitting model to feature number 270, F281
## 2024-10-30 09:16:20.7842 INFO::Fitting model to feature number 271, F282
## 2024-10-30 09:16:20.786381 INFO::Fitting model to feature number 272, F283
## 2024-10-30 09:16:20.788571 INFO::Fitting model to feature number 273, F284
## 2024-10-30 09:16:20.790735 INFO::Fitting model to feature number 274, F285
## 2024-10-30 09:16:20.792988 INFO::Fitting model to feature number 275, F286
## 2024-10-30 09:16:20.795149 INFO::Fitting model to feature number 276, F287
## 2024-10-30 09:16:20.797322 INFO::Fitting model to feature number 277, F288
## 2024-10-30 09:16:20.799476 INFO::Fitting model to feature number 278, F289
## 2024-10-30 09:16:20.801725 INFO::Fitting model to feature number 279, F290
## 2024-10-30 09:16:20.803946 INFO::Fitting model to feature number 280, F292
## 2024-10-30 09:16:20.806105 INFO::Fitting model to feature number 281, F293
## 2024-10-30 09:16:20.808295 INFO::Fitting model to feature number 282, F294
## 2024-10-30 09:16:20.810471 INFO::Fitting model to feature number 283, F295
## 2024-10-30 09:16:20.812669 INFO::Fitting model to feature number 284, F296
## 2024-10-30 09:16:20.814856 INFO::Fitting model to feature number 285, F297
## 2024-10-30 09:16:20.817131 INFO::Fitting model to feature number 286, F298
## 2024-10-30 09:16:20.819317 INFO::Fitting model to feature number 287, F299
## 2024-10-30 09:16:20.82154 INFO::Fitting model to feature number 288, F300
## 2024-10-30 09:16:20.823727 INFO::Fitting model to feature number 289, F301
## 2024-10-30 09:16:20.826029 INFO::Fitting model to feature number 290, F302
## 2024-10-30 09:16:20.828249 INFO::Fitting model to feature number 291, F303
## 2024-10-30 09:16:20.830442 INFO::Fitting model to feature number 292, F304
## 2024-10-30 09:16:20.832677 INFO::Fitting model to feature number 293, F305
## 2024-10-30 09:16:20.834864 INFO::Fitting model to feature number 294, F306
## 2024-10-30 09:16:20.83707 INFO::Fitting model to feature number 295, F307
## 2024-10-30 09:16:20.839252 INFO::Fitting model to feature number 296, F308
## 2024-10-30 09:16:20.841496 INFO::Fitting model to feature number 297, F309
## 2024-10-30 09:16:20.843727 INFO::Fitting model to feature number 298, F310
## 2024-10-30 09:16:20.845968 INFO::Fitting model to feature number 299, F311
## 2024-10-30 09:16:20.84822 INFO::Fitting model to feature number 300, F312
## 2024-10-30 09:16:20.850441 INFO::Fitting model to feature number 301, F313
## 2024-10-30 09:16:20.852676 INFO::Fitting model to feature number 302, F315
## 2024-10-30 09:16:20.854903 INFO::Fitting model to feature number 303, F316
## 2024-10-30 09:16:20.857145 INFO::Fitting model to feature number 304, F317
## 2024-10-30 09:16:20.85934 INFO::Fitting model to feature number 305, F318
## 2024-10-30 09:16:20.861567 INFO::Fitting model to feature number 306, F319
## 2024-10-30 09:16:20.863779 INFO::Fitting model to feature number 307, F320
## 2024-10-30 09:16:20.866011 INFO::Fitting model to feature number 308, F321
## 2024-10-30 09:16:20.868221 INFO::Fitting model to feature number 309, F322
## 2024-10-30 09:16:20.870444 INFO::Fitting model to feature number 310, F323
## 2024-10-30 09:16:20.872714 INFO::Fitting model to feature number 311, F324
## 2024-10-30 09:16:20.875 INFO::Fitting model to feature number 312, F325
## 2024-10-30 09:16:20.877259 INFO::Fitting model to feature number 313, F326
## 2024-10-30 09:16:20.879456 INFO::Fitting model to feature number 314, F327
## 2024-10-30 09:16:20.881693 INFO::Fitting model to feature number 315, F328
## 2024-10-30 09:16:20.883911 INFO::Fitting model to feature number 316, F329
## 2024-10-30 09:16:20.886114 INFO::Fitting model to feature number 317, F330
## 2024-10-30 09:16:20.888357 INFO::Fitting model to feature number 318, F331
## 2024-10-30 09:16:20.89055 INFO::Fitting model to feature number 319, F332
## 2024-10-30 09:16:20.892774 INFO::Fitting model to feature number 320, F333
## 2024-10-30 09:16:20.89501 INFO::Fitting model to feature number 321, F334
## 2024-10-30 09:16:20.897251 INFO::Fitting model to feature number 322, F335
## 2024-10-30 09:16:20.899448 INFO::Fitting model to feature number 323, F336
## 2024-10-30 09:16:20.90167 INFO::Fitting model to feature number 324, F337
## 2024-10-30 09:16:20.90386 INFO::Fitting model to feature number 325, F338
## 2024-10-30 09:16:20.906176 INFO::Fitting model to feature number 326, F339
## 2024-10-30 09:16:20.908399 INFO::Fitting model to feature number 327, F340
## 2024-10-30 09:16:20.910655 INFO::Fitting model to feature number 328, F342
## 2024-10-30 09:16:20.912879 INFO::Fitting model to feature number 329, F343
## 2024-10-30 09:16:20.915065 INFO::Fitting model to feature number 330, F344
## 2024-10-30 09:16:20.917289 INFO::Fitting model to feature number 331, F345
## 2024-10-30 09:16:20.919475 INFO::Fitting model to feature number 332, F346
## 2024-10-30 09:16:20.921707 INFO::Fitting model to feature number 333, F347
## 2024-10-30 09:16:20.923938 INFO::Fitting model to feature number 334, F348
## 2024-10-30 09:16:20.926142 INFO::Fitting model to feature number 335, F350
## 2024-10-30 09:16:20.928349 INFO::Fitting model to feature number 336, F351
## 2024-10-30 09:16:20.930533 INFO::Fitting model to feature number 337, F352
## 2024-10-30 09:16:20.932738 INFO::Fitting model to feature number 338, F353
## 2024-10-30 09:16:20.934925 INFO::Fitting model to feature number 339, F355
## 2024-10-30 09:16:20.937159 INFO::Fitting model to feature number 340, F356
## 2024-10-30 09:16:20.939326 INFO::Fitting model to feature number 341, F357
## 2024-10-30 09:16:20.941543 INFO::Fitting model to feature number 342, F358
## 2024-10-30 09:16:20.94373 INFO::Fitting model to feature number 343, F359
## 2024-10-30 09:16:20.94597 INFO::Fitting model to feature number 344, F360
## 2024-10-30 09:16:20.948176 INFO::Fitting model to feature number 345, F361
## 2024-10-30 09:16:20.950355 INFO::Fitting model to feature number 346, F362
## 2024-10-30 09:16:20.952601 INFO::Fitting model to feature number 347, F363
## 2024-10-30 09:16:20.954802 INFO::Fitting model to feature number 348, F364
## 2024-10-30 09:16:20.957006 INFO::Fitting model to feature number 349, F365
## 2024-10-30 09:16:20.95919 INFO::Fitting model to feature number 350, F366
## 2024-10-30 09:16:20.961436 INFO::Fitting model to feature number 351, F367
## 2024-10-30 09:16:20.963613 INFO::Fitting model to feature number 352, F368
## 2024-10-30 09:16:20.965825 INFO::Fitting model to feature number 353, F369
## 2024-10-30 09:16:20.968118 INFO::Fitting model to feature number 354, F370
## 2024-10-30 09:16:20.97032 INFO::Fitting model to feature number 355, F371
## 2024-10-30 09:16:20.972546 INFO::Fitting model to feature number 356, F372
## 2024-10-30 09:16:20.974762 INFO::Fitting model to feature number 357, F373
## 2024-10-30 09:16:20.977026 INFO::Fitting model to feature number 358, F374
## 2024-10-30 09:16:20.979215 INFO::Fitting model to feature number 359, F375
## 2024-10-30 09:16:20.981433 INFO::Fitting model to feature number 360, F376
## 2024-10-30 09:16:20.983634 INFO::Fitting model to feature number 361, F377
## 2024-10-30 09:16:20.985861 INFO::Fitting model to feature number 362, F378
## 2024-10-30 09:16:20.988064 INFO::Fitting model to feature number 363, F379
## 2024-10-30 09:16:20.990242 INFO::Fitting model to feature number 364, F380
## 2024-10-30 09:16:20.992464 INFO::Fitting model to feature number 365, F381
## 2024-10-30 09:16:20.994659 INFO::Fitting model to feature number 366, F382
## 2024-10-30 09:16:20.996881 INFO::Fitting model to feature number 367, F383
## 2024-10-30 09:16:20.999081 INFO::Fitting model to feature number 368, F384
## 2024-10-30 09:16:21.001319 INFO::Fitting model to feature number 369, F386
## 2024-10-30 09:16:21.003518 INFO::Fitting model to feature number 370, F387
## 2024-10-30 09:16:21.005732 INFO::Fitting model to feature number 371, F388
## 2024-10-30 09:16:21.007954 INFO::Fitting model to feature number 372, F389
## 2024-10-30 09:16:21.010161 INFO::Fitting model to feature number 373, F390
## 2024-10-30 09:16:21.012387 INFO::Fitting model to feature number 374, F391
## 2024-10-30 09:16:21.014589 INFO::Fitting model to feature number 375, F392
## 2024-10-30 09:16:21.016822 INFO::Fitting model to feature number 376, F393
## 2024-10-30 09:16:21.019013 INFO::Fitting model to feature number 377, F394
## 2024-10-30 09:16:21.021221 INFO::Fitting model to feature number 378, F395
## 2024-10-30 09:16:21.023508 INFO::Fitting model to feature number 379, F396
## 2024-10-30 09:16:21.025743 INFO::Fitting model to feature number 380, F397
## 2024-10-30 09:16:21.02797 INFO::Fitting model to feature number 381, F398
## 2024-10-30 09:16:21.030185 INFO::Fitting model to feature number 382, F399
## 2024-10-30 09:16:21.03243 INFO::Fitting model to feature number 383, F400
## 2024-10-30 09:16:21.03462 INFO::Fitting model to feature number 384, F401
## 2024-10-30 09:16:21.036839 INFO::Fitting model to feature number 385, F402
## 2024-10-30 09:16:21.039024 INFO::Fitting model to feature number 386, F403
## 2024-10-30 09:16:21.041279 INFO::Fitting model to feature number 387, F404
## 2024-10-30 09:16:21.043494 INFO::Fitting model to feature number 388, F406
## 2024-10-30 09:16:21.045734 INFO::Fitting model to feature number 389, F407
## 2024-10-30 09:16:21.047957 INFO::Fitting model to feature number 390, F408
## 2024-10-30 09:16:21.050172 INFO::Fitting model to feature number 391, F409
## 2024-10-30 09:16:21.052396 INFO::Fitting model to feature number 392, F410
## 2024-10-30 09:16:21.054669 INFO::Fitting model to feature number 393, F411
## 2024-10-30 09:16:21.056915 INFO::Fitting model to feature number 394, F412
## 2024-10-30 09:16:21.059123 INFO::Fitting model to feature number 395, F413
## 2024-10-30 09:16:21.061332 INFO::Fitting model to feature number 396, F414
## 2024-10-30 09:16:21.063536 INFO::Fitting model to feature number 397, F415
## 2024-10-30 09:16:21.065768 INFO::Fitting model to feature number 398, F416
## 2024-10-30 09:16:21.067984 INFO::Fitting model to feature number 399, F417
## 2024-10-30 09:16:21.070161 INFO::Fitting model to feature number 400, F418
## 2024-10-30 09:16:21.07239 INFO::Fitting model to feature number 401, F419
## 2024-10-30 09:16:21.07458 INFO::Fitting model to feature number 402, F420
## 2024-10-30 09:16:21.07681 INFO::Fitting model to feature number 403, F421
## 2024-10-30 09:16:21.079008 INFO::Fitting model to feature number 404, F422
## 2024-10-30 09:16:21.081244 INFO::Fitting model to feature number 405, F423
## 2024-10-30 09:16:21.083458 INFO::Fitting model to feature number 406, F425
## 2024-10-30 09:16:21.085677 INFO::Fitting model to feature number 407, F426
## 2024-10-30 09:16:21.087865 INFO::Fitting model to feature number 408, F428
## 2024-10-30 09:16:21.090115 INFO::Fitting model to feature number 409, F429
## 2024-10-30 09:16:21.092363 INFO::Fitting model to feature number 410, F430
## 2024-10-30 09:16:21.094547 INFO::Fitting model to feature number 411, F431
## 2024-10-30 09:16:21.096775 INFO::Fitting model to feature number 412, F432
## 2024-10-30 09:16:21.098952 INFO::Fitting model to feature number 413, F433
## 2024-10-30 09:16:21.101199 INFO::Fitting model to feature number 414, F434
## 2024-10-30 09:16:21.103408 INFO::Fitting model to feature number 415, F435
## 2024-10-30 09:16:21.105644 INFO::Fitting model to feature number 416, F436
## 2024-10-30 09:16:21.107835 INFO::Fitting model to feature number 417, F437
## 2024-10-30 09:16:21.11012 INFO::Fitting model to feature number 418, F438
## 2024-10-30 09:16:21.112338 INFO::Fitting model to feature number 419, F439
## 2024-10-30 09:16:21.114542 INFO::Fitting model to feature number 420, F440
## 2024-10-30 09:16:21.116773 INFO::Fitting model to feature number 421, F441
## 2024-10-30 09:16:21.118946 INFO::Fitting model to feature number 422, F442
## 2024-10-30 09:16:21.133095 INFO::Fitting model to feature number 423, F443
## 2024-10-30 09:16:21.135334 INFO::Fitting model to feature number 424, F444
## 2024-10-30 09:16:21.137566 INFO::Fitting model to feature number 425, F445
## 2024-10-30 09:16:21.13976 INFO::Fitting model to feature number 426, F446
## 2024-10-30 09:16:21.142017 INFO::Fitting model to feature number 427, F447
## 2024-10-30 09:16:21.144265 INFO::Fitting model to feature number 428, F448
## 2024-10-30 09:16:21.146476 INFO::Fitting model to feature number 429, F449
## 2024-10-30 09:16:21.148734 INFO::Fitting model to feature number 430, F450
## 2024-10-30 09:16:21.150925 INFO::Fitting model to feature number 431, F451
## 2024-10-30 09:16:21.153127 INFO::Fitting model to feature number 432, F452
## 2024-10-30 09:16:21.155312 INFO::Fitting model to feature number 433, F454
## 2024-10-30 09:16:21.157537 INFO::Fitting model to feature number 434, F455
## 2024-10-30 09:16:21.159701 INFO::Fitting model to feature number 435, F456
## 2024-10-30 09:16:21.161891 INFO::Fitting model to feature number 436, F457
## 2024-10-30 09:16:21.164102 INFO::Fitting model to feature number 437, F458
## 2024-10-30 09:16:21.166269 INFO::Fitting model to feature number 438, F459
## 2024-10-30 09:16:21.168489 INFO::Fitting model to feature number 439, F461
## 2024-10-30 09:16:21.170661 INFO::Fitting model to feature number 440, F462
## 2024-10-30 09:16:21.172879 INFO::Fitting model to feature number 441, F463
## 2024-10-30 09:16:21.175074 INFO::Fitting model to feature number 442, F464
## 2024-10-30 09:16:21.177263 INFO::Fitting model to feature number 443, F465
## 2024-10-30 09:16:21.179501 INFO::Fitting model to feature number 444, F466
## 2024-10-30 09:16:21.181728 INFO::Fitting model to feature number 445, F467
## 2024-10-30 09:16:21.18392 INFO::Fitting model to feature number 446, F468
## 2024-10-30 09:16:21.186106 INFO::Fitting model to feature number 447, F469
## 2024-10-30 09:16:21.188319 INFO::Fitting model to feature number 448, F470
## 2024-10-30 09:16:21.190513 INFO::Fitting model to feature number 449, F471
## 2024-10-30 09:16:21.192708 INFO::Fitting model to feature number 450, F474
## 2024-10-30 09:16:21.194902 INFO::Fitting model to feature number 451, F475
## 2024-10-30 09:16:21.197117 INFO::Fitting model to feature number 452, F476
## 2024-10-30 09:16:21.199284 INFO::Fitting model to feature number 453, F477
## 2024-10-30 09:16:21.201513 INFO::Fitting model to feature number 454, F478
## 2024-10-30 09:16:21.203677 INFO::Fitting model to feature number 455, F479
## 2024-10-30 09:16:21.205934 INFO::Fitting model to feature number 456, F480
## 2024-10-30 09:16:21.208122 INFO::Fitting model to feature number 457, F481
## 2024-10-30 09:16:21.21028 INFO::Fitting model to feature number 458, F482
## 2024-10-30 09:16:21.212512 INFO::Fitting model to feature number 459, F483
## 2024-10-30 09:16:21.214753 INFO::Fitting model to feature number 460, F484
## 2024-10-30 09:16:21.216964 INFO::Fitting model to feature number 461, F485
## 2024-10-30 09:16:21.21916 INFO::Fitting model to feature number 462, F486
## 2024-10-30 09:16:21.221399 INFO::Fitting model to feature number 463, F487
## 2024-10-30 09:16:21.223615 INFO::Fitting model to feature number 464, F488
## 2024-10-30 09:16:21.225802 INFO::Fitting model to feature number 465, F489
## 2024-10-30 09:16:21.228017 INFO::Fitting model to feature number 466, F490
## 2024-10-30 09:16:21.230206 INFO::Fitting model to feature number 467, F491
## 2024-10-30 09:16:21.232407 INFO::Fitting model to feature number 468, F492
## 2024-10-30 09:16:21.234603 INFO::Fitting model to feature number 469, F493
## 2024-10-30 09:16:21.236856 INFO::Fitting model to feature number 470, F494
## 2024-10-30 09:16:21.239026 INFO::Fitting model to feature number 471, F495
## 2024-10-30 09:16:21.241257 INFO::Fitting model to feature number 472, F496
## 2024-10-30 09:16:21.243493 INFO::Fitting model to feature number 473, F497
## 2024-10-30 09:16:21.245749 INFO::Fitting model to feature number 474, F498
## 2024-10-30 09:16:21.247956 INFO::Fitting model to feature number 475, F499
## 2024-10-30 09:16:21.250164 INFO::Fitting model to feature number 476, F500
## 2024-10-30 09:16:21.252378 INFO::Fitting model to feature number 477, F501
## 2024-10-30 09:16:21.254606 INFO::Fitting model to feature number 478, F502
## 2024-10-30 09:16:21.256808 INFO::Fitting model to feature number 479, F503
## 2024-10-30 09:16:21.25903 INFO::Fitting model to feature number 480, F504
## 2024-10-30 09:16:21.261239 INFO::Fitting model to feature number 481, F505
## 2024-10-30 09:16:21.263425 INFO::Fitting model to feature number 482, F506
## 2024-10-30 09:16:21.265648 INFO::Fitting model to feature number 483, F507
## 2024-10-30 09:16:21.267825 INFO::Fitting model to feature number 484, F508
## 2024-10-30 09:16:21.270045 INFO::Fitting model to feature number 485, F509
## 2024-10-30 09:16:21.272275 INFO::Fitting model to feature number 486, F510
## 2024-10-30 09:16:21.27449 INFO::Fitting model to feature number 487, F511
## 2024-10-30 09:16:21.276708 INFO::Fitting model to feature number 488, F512
## 2024-10-30 09:16:21.278867 INFO::Fitting model to feature number 489, F513
## 2024-10-30 09:16:21.281087 INFO::Fitting model to feature number 490, F514
## 2024-10-30 09:16:21.283273 INFO::Fitting model to feature number 491, F515
## 2024-10-30 09:16:21.285485 INFO::Fitting model to feature number 492, F516
## 2024-10-30 09:16:21.287658 INFO::Fitting model to feature number 493, F517
## 2024-10-30 09:16:21.289871 INFO::Fitting model to feature number 494, F518
## 2024-10-30 09:16:21.292052 INFO::Fitting model to feature number 495, F519
## 2024-10-30 09:16:21.294231 INFO::Fitting model to feature number 496, F520
## 2024-10-30 09:16:21.296423 INFO::Fitting model to feature number 497, F521
## 2024-10-30 09:16:21.298602 INFO::Fitting model to feature number 498, F522
## 2024-10-30 09:16:21.300852 INFO::Fitting model to feature number 499, F523
## 2024-10-30 09:16:21.303025 INFO::Fitting model to feature number 500, F524
## 2024-10-30 09:16:21.305264 INFO::Fitting model to feature number 501, F525
## 2024-10-30 09:16:21.307447 INFO::Fitting model to feature number 502, F526
## 2024-10-30 09:16:21.309627 INFO::Fitting model to feature number 503, F527
## 2024-10-30 09:16:21.311793 INFO::Fitting model to feature number 504, F528
## 2024-10-30 09:16:21.314012 INFO::Fitting model to feature number 505, F529
## 2024-10-30 09:16:21.316204 INFO::Fitting model to feature number 506, F530
## 2024-10-30 09:16:21.318394 INFO::Fitting model to feature number 507, F531
## 2024-10-30 09:16:21.320606 INFO::Fitting model to feature number 508, F532
## 2024-10-30 09:16:21.322822 INFO::Fitting model to feature number 509, F533
## 2024-10-30 09:16:21.325061 INFO::Fitting model to feature number 510, F534
## 2024-10-30 09:16:21.327229 INFO::Fitting model to feature number 511, F535
## 2024-10-30 09:16:21.329442 INFO::Fitting model to feature number 512, F536
## 2024-10-30 09:16:21.33162 INFO::Fitting model to feature number 513, F537
## 2024-10-30 09:16:21.333863 INFO::Fitting model to feature number 514, F539
## 2024-10-30 09:16:21.336107 INFO::Fitting model to feature number 515, F540
## 2024-10-30 09:16:21.338329 INFO::Fitting model to feature number 516, F541
## 2024-10-30 09:16:21.340544 INFO::Fitting model to feature number 517, F543
## 2024-10-30 09:16:21.342758 INFO::Fitting model to feature number 518, F544
## 2024-10-30 09:16:21.345025 INFO::Fitting model to feature number 519, F545
## 2024-10-30 09:16:21.347237 INFO::Fitting model to feature number 520, F546
## 2024-10-30 09:16:21.349437 INFO::Fitting model to feature number 521, F547
## 2024-10-30 09:16:21.351606 INFO::Fitting model to feature number 522, F548
## 2024-10-30 09:16:21.353844 INFO::Fitting model to feature number 523, F549
## 2024-10-30 09:16:21.35604 INFO::Fitting model to feature number 524, F550
## 2024-10-30 09:16:21.358243 INFO::Fitting model to feature number 525, F551
## 2024-10-30 09:16:21.360461 INFO::Fitting model to feature number 526, F552
## 2024-10-30 09:16:21.36268 INFO::Fitting model to feature number 527, F553
## 2024-10-30 09:16:21.364926 INFO::Fitting model to feature number 528, F554
## 2024-10-30 09:16:21.367115 INFO::Fitting model to feature number 529, F555
## 2024-10-30 09:16:21.369393 INFO::Fitting model to feature number 530, F556
## 2024-10-30 09:16:21.3716 INFO::Fitting model to feature number 531, F557
## 2024-10-30 09:16:21.373842 INFO::Fitting model to feature number 532, F558
## 2024-10-30 09:16:21.376102 INFO::Fitting model to feature number 533, F559
## 2024-10-30 09:16:21.378299 INFO::Fitting model to feature number 534, F560
## 2024-10-30 09:16:21.380519 INFO::Fitting model to feature number 535, F561
## 2024-10-30 09:16:21.382714 INFO::Fitting model to feature number 536, F562
## 2024-10-30 09:16:21.384962 INFO::Fitting model to feature number 537, F563
## 2024-10-30 09:16:21.387145 INFO::Fitting model to feature number 538, F564
## 2024-10-30 09:16:21.38945 INFO::Fitting model to feature number 539, F566
## 2024-10-30 09:16:21.391675 INFO::Fitting model to feature number 540, F567
## 2024-10-30 09:16:21.394055 INFO::Fitting model to feature number 541, F568
## 2024-10-30 09:16:21.396357 INFO::Fitting model to feature number 542, F569
## 2024-10-30 09:16:21.398588 INFO::Fitting model to feature number 543, F570
## 2024-10-30 09:16:21.400816 INFO::Fitting model to feature number 544, F571
## 2024-10-30 09:16:21.402999 INFO::Fitting model to feature number 545, F572
## 2024-10-30 09:16:21.40523 INFO::Fitting model to feature number 546, F573
## 2024-10-30 09:16:21.407418 INFO::Fitting model to feature number 547, F574
## 2024-10-30 09:16:21.409653 INFO::Fitting model to feature number 548, F575
## 2024-10-30 09:16:21.41185 INFO::Fitting model to feature number 549, F576
## 2024-10-30 09:16:21.414083 INFO::Fitting model to feature number 550, F577
## 2024-10-30 09:16:21.41633 INFO::Fitting model to feature number 551, F578
## 2024-10-30 09:16:21.41852 INFO::Fitting model to feature number 552, F579
## 2024-10-30 09:16:21.420733 INFO::Fitting model to feature number 553, F580
## 2024-10-30 09:16:21.422919 INFO::Fitting model to feature number 554, F581
## 2024-10-30 09:16:21.425185 INFO::Fitting model to feature number 555, F582
## 2024-10-30 09:16:21.427395 INFO::Fitting model to feature number 556, F583
## 2024-10-30 09:16:21.429642 INFO::Fitting model to feature number 557, F584
## 2024-10-30 09:16:21.431815 INFO::Fitting model to feature number 558, F585
## 2024-10-30 09:16:21.434034 INFO::Fitting model to feature number 559, F586
## 2024-10-30 09:16:21.436261 INFO::Fitting model to feature number 560, F587
## 2024-10-30 09:16:21.438447 INFO::Fitting model to feature number 561, F588
## 2024-10-30 09:16:21.440685 INFO::Fitting model to feature number 562, F589
## 2024-10-30 09:16:21.442876 INFO::Fitting model to feature number 563, F590
## 2024-10-30 09:16:21.445131 INFO::Fitting model to feature number 564, F591
## 2024-10-30 09:16:21.447317 INFO::Fitting model to feature number 565, F592
## 2024-10-30 09:16:21.449554 INFO::Fitting model to feature number 566, F593
## 2024-10-30 09:16:21.45172 INFO::Fitting model to feature number 567, F594
## 2024-10-30 09:16:21.453932 INFO::Fitting model to feature number 568, F595
## 2024-10-30 09:16:21.456169 INFO::Fitting model to feature number 569, F596
## 2024-10-30 09:16:21.458397 INFO::Fitting model to feature number 570, F597
## 2024-10-30 09:16:21.460618 INFO::Fitting model to feature number 571, F598
## 2024-10-30 09:16:21.462811 INFO::Fitting model to feature number 572, F599
## 2024-10-30 09:16:21.465068 INFO::Fitting model to feature number 573, F600
## 2024-10-30 09:16:21.467268 INFO::Fitting model to feature number 574, F601
## 2024-10-30 09:16:21.469505 INFO::Fitting model to feature number 575, F602
## 2024-10-30 09:16:21.471719 INFO::Fitting model to feature number 576, F603
## 2024-10-30 09:16:21.473974 INFO::Fitting model to feature number 577, F605
## 2024-10-30 09:16:21.476236 INFO::Fitting model to feature number 578, F606
## 2024-10-30 09:16:21.478441 INFO::Fitting model to feature number 579, F607
## 2024-10-30 09:16:21.480692 INFO::Fitting model to feature number 580, F608
## 2024-10-30 09:16:21.482891 INFO::Fitting model to feature number 581, F609
## 2024-10-30 09:16:21.485101 INFO::Fitting model to feature number 582, F610
## 2024-10-30 09:16:21.487336 INFO::Fitting model to feature number 583, F611
## 2024-10-30 09:16:21.489563 INFO::Fitting model to feature number 584, F612
## 2024-10-30 09:16:21.49175 INFO::Fitting model to feature number 585, F613
## 2024-10-30 09:16:21.493971 INFO::Fitting model to feature number 586, F614
## 2024-10-30 09:16:21.496221 INFO::Fitting model to feature number 587, F615
## 2024-10-30 09:16:21.498406 INFO::Fitting model to feature number 588, F616
## 2024-10-30 09:16:21.50061 INFO::Fitting model to feature number 589, F617
## 2024-10-30 09:16:21.502801 INFO::Fitting model to feature number 590, F618
## 2024-10-30 09:16:21.505037 INFO::Fitting model to feature number 591, F619
## 2024-10-30 09:16:21.507235 INFO::Fitting model to feature number 592, F620
## 2024-10-30 09:16:21.509448 INFO::Fitting model to feature number 593, F621
## 2024-10-30 09:16:21.511635 INFO::Fitting model to feature number 594, F622
## 2024-10-30 09:16:21.513873 INFO::Fitting model to feature number 595, F623
## 2024-10-30 09:16:21.516095 INFO::Fitting model to feature number 596, F624
## 2024-10-30 09:16:21.518288 INFO::Fitting model to feature number 597, F625
## 2024-10-30 09:16:21.520534 INFO::Fitting model to feature number 598, F626
## 2024-10-30 09:16:21.522719 INFO::Fitting model to feature number 599, F627
## 2024-10-30 09:16:21.524958 INFO::Fitting model to feature number 600, F628
## 2024-10-30 09:16:21.52716 INFO::Fitting model to feature number 601, F629
## 2024-10-30 09:16:21.529415 INFO::Fitting model to feature number 602, F630
## 2024-10-30 09:16:21.531614 INFO::Fitting model to feature number 603, F631
## 2024-10-30 09:16:21.533838 INFO::Fitting model to feature number 604, F632
## 2024-10-30 09:16:21.536079 INFO::Fitting model to feature number 605, F633
## 2024-10-30 09:16:21.538276 INFO::Fitting model to feature number 606, F634
## 2024-10-30 09:16:21.540497 INFO::Fitting model to feature number 607, F635
## 2024-10-30 09:16:21.542715 INFO::Fitting model to feature number 608, F636
## 2024-10-30 09:16:21.544961 INFO::Fitting model to feature number 609, F637
## 2024-10-30 09:16:21.547168 INFO::Fitting model to feature number 610, F638
## 2024-10-30 09:16:21.549398 INFO::Fitting model to feature number 611, F639
## 2024-10-30 09:16:21.551584 INFO::Fitting model to feature number 612, F640
## 2024-10-30 09:16:21.553924 INFO::Fitting model to feature number 613, F641
## 2024-10-30 09:16:21.556166 INFO::Fitting model to feature number 614, F642
## 2024-10-30 09:16:21.558371 INFO::Fitting model to feature number 615, F643
## 2024-10-30 09:16:21.560635 INFO::Fitting model to feature number 616, F644
## 2024-10-30 09:16:21.562836 INFO::Fitting model to feature number 617, F645
## 2024-10-30 09:16:21.565059 INFO::Fitting model to feature number 618, F646
## 2024-10-30 09:16:21.567243 INFO::Fitting model to feature number 619, F647
## 2024-10-30 09:16:21.56947 INFO::Fitting model to feature number 620, F648
## 2024-10-30 09:16:21.571658 INFO::Fitting model to feature number 621, F649
## 2024-10-30 09:16:21.573884 INFO::Fitting model to feature number 622, F650
## 2024-10-30 09:16:21.576124 INFO::Fitting model to feature number 623, F651
## 2024-10-30 09:16:21.578336 INFO::Fitting model to feature number 624, F652
## 2024-10-30 09:16:21.580558 INFO::Fitting model to feature number 625, F653
## 2024-10-30 09:16:21.582737 INFO::Fitting model to feature number 626, F654
## 2024-10-30 09:16:21.584992 INFO::Fitting model to feature number 627, F655
## 2024-10-30 09:16:21.587227 INFO::Fitting model to feature number 628, F656
## 2024-10-30 09:16:21.589442 INFO::Fitting model to feature number 629, F657
## 2024-10-30 09:16:21.591669 INFO::Fitting model to feature number 630, F658
## 2024-10-30 09:16:21.593916 INFO::Fitting model to feature number 631, F659
## 2024-10-30 09:16:21.596144 INFO::Fitting model to feature number 632, F660
## 2024-10-30 09:16:21.598356 INFO::Fitting model to feature number 633, F661
## 2024-10-30 09:16:21.600596 INFO::Fitting model to feature number 634, F662
## 2024-10-30 09:16:21.602798 INFO::Fitting model to feature number 635, F663
## 2024-10-30 09:16:21.605026 INFO::Fitting model to feature number 636, F664
## 2024-10-30 09:16:21.607269 INFO::Fitting model to feature number 637, F665
## 2024-10-30 09:16:21.609513 INFO::Fitting model to feature number 638, F666
## 2024-10-30 09:16:21.611696 INFO::Fitting model to feature number 639, F667
## 2024-10-30 09:16:21.613907 INFO::Fitting model to feature number 640, F668
## 2024-10-30 09:16:21.616127 INFO::Fitting model to feature number 641, F669
## 2024-10-30 09:16:21.618336 INFO::Fitting model to feature number 642, F670
## 2024-10-30 09:16:21.62056 INFO::Fitting model to feature number 643, F671
## 2024-10-30 09:16:21.622753 INFO::Fitting model to feature number 644, F672
## 2024-10-30 09:16:21.625004 INFO::Fitting model to feature number 645, F673
## 2024-10-30 09:16:21.627228 INFO::Fitting model to feature number 646, F674
## 2024-10-30 09:16:21.629442 INFO::Fitting model to feature number 647, F675
## 2024-10-30 09:16:21.631635 INFO::Fitting model to feature number 648, F676
## 2024-10-30 09:16:21.633873 INFO::Fitting model to feature number 649, F677
## 2024-10-30 09:16:21.63606 INFO::Fitting model to feature number 650, F678
## 2024-10-30 09:16:21.638248 INFO::Fitting model to feature number 651, F679
## 2024-10-30 09:16:21.652449 INFO::Fitting model to feature number 652, F680
## 2024-10-30 09:16:21.654741 INFO::Fitting model to feature number 653, F681
## 2024-10-30 09:16:21.657027 INFO::Fitting model to feature number 654, F682
## 2024-10-30 09:16:21.65923 INFO::Fitting model to feature number 655, F683
## 2024-10-30 09:16:21.661458 INFO::Fitting model to feature number 656, F684
## 2024-10-30 09:16:21.663644 INFO::Fitting model to feature number 657, F685
## 2024-10-30 09:16:21.665902 INFO::Fitting model to feature number 658, F686
## 2024-10-30 09:16:21.668128 INFO::Fitting model to feature number 659, F687
## 2024-10-30 09:16:21.670299 INFO::Fitting model to feature number 660, F688
## 2024-10-30 09:16:21.672518 INFO::Fitting model to feature number 661, F689
## 2024-10-30 09:16:21.674711 INFO::Fitting model to feature number 662, F690
## 2024-10-30 09:16:21.677001 INFO::Fitting model to feature number 663, F691
## 2024-10-30 09:16:21.679183 INFO::Fitting model to feature number 664, F692
## 2024-10-30 09:16:21.681386 INFO::Fitting model to feature number 665, F693
## 2024-10-30 09:16:21.68359 INFO::Fitting model to feature number 666, F694
## 2024-10-30 09:16:21.685796 INFO::Fitting model to feature number 667, F695
## 2024-10-30 09:16:21.687996 INFO::Fitting model to feature number 668, F696
## 2024-10-30 09:16:21.690164 INFO::Fitting model to feature number 669, F697
## 2024-10-30 09:16:21.692342 INFO::Fitting model to feature number 670, F698
## 2024-10-30 09:16:21.69454 INFO::Fitting model to feature number 671, F699
## 2024-10-30 09:16:21.696753 INFO::Fitting model to feature number 672, F700
## 2024-10-30 09:16:21.698932 INFO::Fitting model to feature number 673, F701
## 2024-10-30 09:16:21.701127 INFO::Fitting model to feature number 674, F702
## 2024-10-30 09:16:21.703316 INFO::Fitting model to feature number 675, F704
## 2024-10-30 09:16:21.705548 INFO::Fitting model to feature number 676, F705
## 2024-10-30 09:16:21.707747 INFO::Fitting model to feature number 677, F706
## 2024-10-30 09:16:21.709977 INFO::Fitting model to feature number 678, F707
## 2024-10-30 09:16:21.7122 INFO::Fitting model to feature number 679, F708
## 2024-10-30 09:16:21.714391 INFO::Fitting model to feature number 680, F709
## 2024-10-30 09:16:21.716595 INFO::Fitting model to feature number 681, F710
## 2024-10-30 09:16:21.71881 INFO::Fitting model to feature number 682, F711
## 2024-10-30 09:16:21.721028 INFO::Fitting model to feature number 683, F712
## 2024-10-30 09:16:21.72321 INFO::Fitting model to feature number 684, F713
## 2024-10-30 09:16:21.725509 INFO::Fitting model to feature number 685, F714
## 2024-10-30 09:16:21.727698 INFO::Fitting model to feature number 686, F715
## 2024-10-30 09:16:21.729991 INFO::Fitting model to feature number 687, F716
## 2024-10-30 09:16:21.73221 INFO::Fitting model to feature number 688, F717
## 2024-10-30 09:16:21.734401 INFO::Fitting model to feature number 689, F718
## 2024-10-30 09:16:21.736605 INFO::Fitting model to feature number 690, F719
## 2024-10-30 09:16:21.738797 INFO::Fitting model to feature number 691, F720
## 2024-10-30 09:16:21.741035 INFO::Fitting model to feature number 692, F721
## 2024-10-30 09:16:21.743246 INFO::Fitting model to feature number 693, F722
## 2024-10-30 09:16:21.74548 INFO::Fitting model to feature number 694, F723
## 2024-10-30 09:16:21.747672 INFO::Fitting model to feature number 695, F724
## 2024-10-30 09:16:21.749906 INFO::Fitting model to feature number 696, F725
## 2024-10-30 09:16:21.752142 INFO::Fitting model to feature number 697, F726
## 2024-10-30 09:16:21.75432 INFO::Fitting model to feature number 698, F727
## 2024-10-30 09:16:21.756543 INFO::Fitting model to feature number 699, F728
## 2024-10-30 09:16:21.758706 INFO::Fitting model to feature number 700, F729
## 2024-10-30 09:16:21.760913 INFO::Fitting model to feature number 701, F730
## 2024-10-30 09:16:21.763084 INFO::Fitting model to feature number 702, F731
## 2024-10-30 09:16:21.765285 INFO::Fitting model to feature number 703, F732
## 2024-10-30 09:16:21.767462 INFO::Fitting model to feature number 704, F733
## 2024-10-30 09:16:21.769663 INFO::Fitting model to feature number 705, F734
## 2024-10-30 09:16:21.771845 INFO::Fitting model to feature number 706, F735
## 2024-10-30 09:16:21.774046 INFO::Fitting model to feature number 707, F736
## 2024-10-30 09:16:21.776269 INFO::Fitting model to feature number 708, F737
## 2024-10-30 09:16:21.77844 INFO::Fitting model to feature number 709, F739
## 2024-10-30 09:16:21.780681 INFO::Fitting model to feature number 710, F740
## 2024-10-30 09:16:21.782842 INFO::Fitting model to feature number 711, F741
## 2024-10-30 09:16:21.785063 INFO::Fitting model to feature number 712, F742
## 2024-10-30 09:16:21.787227 INFO::Fitting model to feature number 713, F743
## 2024-10-30 09:16:21.789437 INFO::Fitting model to feature number 714, F744
## 2024-10-30 09:16:21.791634 INFO::Fitting model to feature number 715, F745
## 2024-10-30 09:16:21.793904 INFO::Fitting model to feature number 716, F746
## 2024-10-30 09:16:21.796099 INFO::Fitting model to feature number 717, F747
## 2024-10-30 09:16:21.798284 INFO::Fitting model to feature number 718, F748
## 2024-10-30 09:16:21.800478 INFO::Fitting model to feature number 719, F749
## 2024-10-30 09:16:21.802666 INFO::Fitting model to feature number 720, F750
## 2024-10-30 09:16:21.8049 INFO::Fitting model to feature number 721, F751
## 2024-10-30 09:16:21.807076 INFO::Fitting model to feature number 722, F752
## 2024-10-30 09:16:21.809313 INFO::Fitting model to feature number 723, F753
## 2024-10-30 09:16:21.811503 INFO::Fitting model to feature number 724, F754
## 2024-10-30 09:16:21.813701 INFO::Fitting model to feature number 725, F755
## 2024-10-30 09:16:21.815904 INFO::Fitting model to feature number 726, F756
## 2024-10-30 09:16:21.818111 INFO::Fitting model to feature number 727, F757
## 2024-10-30 09:16:21.820316 INFO::Fitting model to feature number 728, F758
## 2024-10-30 09:16:21.822474 INFO::Fitting model to feature number 729, F759
## 2024-10-30 09:16:21.824677 INFO::Fitting model to feature number 730, F760
## 2024-10-30 09:16:21.82682 INFO::Fitting model to feature number 731, F761
## 2024-10-30 09:16:21.829019 INFO::Fitting model to feature number 732, F762
## 2024-10-30 09:16:21.831168 INFO::Fitting model to feature number 733, F763
## 2024-10-30 09:16:21.833379 INFO::Fitting model to feature number 734, F764
## 2024-10-30 09:16:21.835533 INFO::Fitting model to feature number 735, F765
## 2024-10-30 09:16:21.837704 INFO::Fitting model to feature number 736, F766
## 2024-10-30 09:16:21.839877 INFO::Fitting model to feature number 737, F767
## 2024-10-30 09:16:21.842134 INFO::Fitting model to feature number 738, F768
## 2024-10-30 09:16:21.844352 INFO::Fitting model to feature number 739, F769
## 2024-10-30 09:16:21.846536 INFO::Fitting model to feature number 740, F770
## 2024-10-30 09:16:21.848755 INFO::Fitting model to feature number 741, F771
## 2024-10-30 09:16:21.850923 INFO::Fitting model to feature number 742, F772
## 2024-10-30 09:16:21.853148 INFO::Fitting model to feature number 743, F773
## 2024-10-30 09:16:21.855345 INFO::Fitting model to feature number 744, F774
## 2024-10-30 09:16:21.857573 INFO::Fitting model to feature number 745, F775
## 2024-10-30 09:16:21.85976 INFO::Fitting model to feature number 746, F776
## 2024-10-30 09:16:21.862011 INFO::Fitting model to feature number 747, F777
## 2024-10-30 09:16:21.864247 INFO::Fitting model to feature number 748, F778
## 2024-10-30 09:16:21.866478 INFO::Fitting model to feature number 749, F779
## 2024-10-30 09:16:21.868679 INFO::Fitting model to feature number 750, F780
## 2024-10-30 09:16:21.870855 INFO::Fitting model to feature number 751, F781
## 2024-10-30 09:16:21.873091 INFO::Fitting model to feature number 752, F782
## 2024-10-30 09:16:21.875295 INFO::Fitting model to feature number 753, F783
## 2024-10-30 09:16:21.877518 INFO::Fitting model to feature number 754, F784
## 2024-10-30 09:16:21.879709 INFO::Fitting model to feature number 755, F785
## 2024-10-30 09:16:21.88191 INFO::Fitting model to feature number 756, F786
## 2024-10-30 09:16:21.884156 INFO::Fitting model to feature number 757, F787
## 2024-10-30 09:16:21.886354 INFO::Fitting model to feature number 758, F788
## 2024-10-30 09:16:21.888629 INFO::Fitting model to feature number 759, F789
## 2024-10-30 09:16:21.890857 INFO::Fitting model to feature number 760, F790
## 2024-10-30 09:16:21.893104 INFO::Fitting model to feature number 761, F791
## 2024-10-30 09:16:21.895313 INFO::Fitting model to feature number 762, F792
## 2024-10-30 09:16:21.897567 INFO::Fitting model to feature number 763, F793
## 2024-10-30 09:16:21.899778 INFO::Fitting model to feature number 764, F794
## 2024-10-30 09:16:21.901984 INFO::Fitting model to feature number 765, F795
## 2024-10-30 09:16:21.904197 INFO::Fitting model to feature number 766, F796
## 2024-10-30 09:16:21.906482 INFO::Fitting model to feature number 767, F797
## 2024-10-30 09:16:21.908771 INFO::Fitting model to feature number 768, F798
## 2024-10-30 09:16:21.911024 INFO::Fitting model to feature number 769, F799
## 2024-10-30 09:16:21.913306 INFO::Fitting model to feature number 770, F800
## 2024-10-30 09:16:21.915566 INFO::Fitting model to feature number 771, F801
## 2024-10-30 09:16:21.917838 INFO::Fitting model to feature number 772, F802
## 2024-10-30 09:16:21.920083 INFO::Fitting model to feature number 773, F803
## 2024-10-30 09:16:21.922291 INFO::Fitting model to feature number 774, F804
## 2024-10-30 09:16:21.924516 INFO::Fitting model to feature number 775, F805
## 2024-10-30 09:16:21.926723 INFO::Fitting model to feature number 776, F806
## 2024-10-30 09:16:21.928987 INFO::Fitting model to feature number 777, F808
## 2024-10-30 09:16:21.93119 INFO::Fitting model to feature number 778, F809
## 2024-10-30 09:16:21.933428 INFO::Fitting model to feature number 779, F810
## 2024-10-30 09:16:21.935647 INFO::Fitting model to feature number 780, F811
## 2024-10-30 09:16:21.93798 INFO::Fitting model to feature number 781, F812
## 2024-10-30 09:16:21.940228 INFO::Fitting model to feature number 782, F813
## 2024-10-30 09:16:21.942439 INFO::Fitting model to feature number 783, F814
## 2024-10-30 09:16:21.944715 INFO::Fitting model to feature number 784, F815
## 2024-10-30 09:16:21.946937 INFO::Fitting model to feature number 785, F816
## 2024-10-30 09:16:21.949204 INFO::Fitting model to feature number 786, F817
## 2024-10-30 09:16:21.951393 INFO::Fitting model to feature number 787, F818
## 2024-10-30 09:16:21.95363 INFO::Fitting model to feature number 788, F819
## 2024-10-30 09:16:21.955803 INFO::Fitting model to feature number 789, F820
## 2024-10-30 09:16:21.958017 INFO::Fitting model to feature number 790, F821
## 2024-10-30 09:16:21.960258 INFO::Fitting model to feature number 791, F822
## 2024-10-30 09:16:21.962484 INFO::Fitting model to feature number 792, F823
## 2024-10-30 09:16:21.964718 INFO::Fitting model to feature number 793, F824
## 2024-10-30 09:16:21.966899 INFO::Fitting model to feature number 794, F825
## 2024-10-30 09:16:21.969147 INFO::Fitting model to feature number 795, F826
## 2024-10-30 09:16:21.971365 INFO::Fitting model to feature number 796, F827
## 2024-10-30 09:16:21.973581 INFO::Fitting model to feature number 797, F828
## 2024-10-30 09:16:21.975776 INFO::Fitting model to feature number 798, F829
## 2024-10-30 09:16:21.97798 INFO::Fitting model to feature number 799, F830
## 2024-10-30 09:16:21.980198 INFO::Fitting model to feature number 800, F831
## 2024-10-30 09:16:21.982381 INFO::Fitting model to feature number 801, F832
## 2024-10-30 09:16:21.984602 INFO::Fitting model to feature number 802, F833
## 2024-10-30 09:16:21.986795 INFO::Fitting model to feature number 803, F834
## 2024-10-30 09:16:21.989045 INFO::Fitting model to feature number 804, F835
## 2024-10-30 09:16:21.991265 INFO::Fitting model to feature number 805, F836
## 2024-10-30 09:16:21.9935 INFO::Fitting model to feature number 806, F837
## 2024-10-30 09:16:21.995691 INFO::Fitting model to feature number 807, F838
## 2024-10-30 09:16:21.997911 INFO::Fitting model to feature number 808, F839
## 2024-10-30 09:16:22.000156 INFO::Fitting model to feature number 809, F840
## 2024-10-30 09:16:22.002351 INFO::Fitting model to feature number 810, F841
## 2024-10-30 09:16:22.004571 INFO::Fitting model to feature number 811, F842
## 2024-10-30 09:16:22.006754 INFO::Fitting model to feature number 812, F843
## 2024-10-30 09:16:22.009004 INFO::Fitting model to feature number 813, F844
## 2024-10-30 09:16:22.01121 INFO::Fitting model to feature number 814, F845
## 2024-10-30 09:16:22.013425 INFO::Fitting model to feature number 815, F846
## 2024-10-30 09:16:22.01561 INFO::Fitting model to feature number 816, F847
## 2024-10-30 09:16:22.017837 INFO::Fitting model to feature number 817, F848
## 2024-10-30 09:16:22.020033 INFO::Fitting model to feature number 818, F849
## 2024-10-30 09:16:22.022216 INFO::Fitting model to feature number 819, F850
## 2024-10-30 09:16:22.024444 INFO::Fitting model to feature number 820, F851
## 2024-10-30 09:16:22.026628 INFO::Fitting model to feature number 821, F852
## 2024-10-30 09:16:22.02883 INFO::Fitting model to feature number 822, F853
## 2024-10-30 09:16:22.031044 INFO::Fitting model to feature number 823, F854
## 2024-10-30 09:16:22.033261 INFO::Fitting model to feature number 824, F855
## 2024-10-30 09:16:22.035462 INFO::Fitting model to feature number 825, F856
## 2024-10-30 09:16:22.037715 INFO::Fitting model to feature number 826, F857
## 2024-10-30 09:16:22.039932 INFO::Fitting model to feature number 827, F858
## 2024-10-30 09:16:22.042145 INFO::Fitting model to feature number 828, F859
## 2024-10-30 09:16:22.044383 INFO::Fitting model to feature number 829, F860
## 2024-10-30 09:16:22.046566 INFO::Fitting model to feature number 830, F861
## 2024-10-30 09:16:22.048798 INFO::Fitting model to feature number 831, F862
## 2024-10-30 09:16:22.050996 INFO::Fitting model to feature number 832, F863
## 2024-10-30 09:16:22.053199 INFO::Fitting model to feature number 833, F864
## 2024-10-30 09:16:22.055494 INFO::Fitting model to feature number 834, F865
## 2024-10-30 09:16:22.057748 INFO::Fitting model to feature number 835, F866
## 2024-10-30 09:16:22.059979 INFO::Fitting model to feature number 836, F867
## 2024-10-30 09:16:22.062267 INFO::Fitting model to feature number 837, F868
## 2024-10-30 09:16:22.06451 INFO::Fitting model to feature number 838, F869
## 2024-10-30 09:16:22.066695 INFO::Fitting model to feature number 839, F870
## 2024-10-30 09:16:22.068954 INFO::Fitting model to feature number 840, F871
## 2024-10-30 09:16:22.071153 INFO::Fitting model to feature number 841, F872
## 2024-10-30 09:16:22.073385 INFO::Fitting model to feature number 842, F873
## 2024-10-30 09:16:22.07559 INFO::Fitting model to feature number 843, F874
## 2024-10-30 09:16:22.077804 INFO::Fitting model to feature number 844, F875
## 2024-10-30 09:16:22.080041 INFO::Fitting model to feature number 845, F876
## 2024-10-30 09:16:22.082252 INFO::Fitting model to feature number 846, F877
## 2024-10-30 09:16:22.084464 INFO::Fitting model to feature number 847, F878
## 2024-10-30 09:16:22.086644 INFO::Fitting model to feature number 848, F879
## 2024-10-30 09:16:22.088877 INFO::Fitting model to feature number 849, F880
## 2024-10-30 09:16:22.091067 INFO::Fitting model to feature number 850, F881
## 2024-10-30 09:16:22.093304 INFO::Fitting model to feature number 851, F882
## 2024-10-30 09:16:22.095525 INFO::Fitting model to feature number 852, F883
## 2024-10-30 09:16:22.097764 INFO::Fitting model to feature number 853, F884
## 2024-10-30 09:16:22.099989 INFO::Fitting model to feature number 854, F885
## 2024-10-30 09:16:22.102215 INFO::Fitting model to feature number 855, F886
## 2024-10-30 09:16:22.104446 INFO::Fitting model to feature number 856, F887
## 2024-10-30 09:16:22.106652 INFO::Fitting model to feature number 857, F888
## 2024-10-30 09:16:22.108871 INFO::Fitting model to feature number 858, F889
## 2024-10-30 09:16:22.111096 INFO::Fitting model to feature number 859, F890
## 2024-10-30 09:16:22.113325 INFO::Fitting model to feature number 860, F891
## 2024-10-30 09:16:22.11552 INFO::Fitting model to feature number 861, F892
## 2024-10-30 09:16:22.117741 INFO::Fitting model to feature number 862, F893
## 2024-10-30 09:16:22.119956 INFO::Fitting model to feature number 863, F894
## 2024-10-30 09:16:22.12217 INFO::Fitting model to feature number 864, F895
## 2024-10-30 09:16:22.124402 INFO::Fitting model to feature number 865, F896
## 2024-10-30 09:16:22.126596 INFO::Fitting model to feature number 866, F897
## 2024-10-30 09:16:22.128812 INFO::Fitting model to feature number 867, F898
## 2024-10-30 09:16:22.131007 INFO::Fitting model to feature number 868, F899
## 2024-10-30 09:16:22.133254 INFO::Fitting model to feature number 869, F900
## 2024-10-30 09:16:22.248485 INFO::Counting total values for each feature
## 2024-10-30 09:16:22.323739 INFO::Writing filtered data to file Macarron_output/maaslin2_results/features/filtered_data.tsv
## 2024-10-30 09:16:22.381063 INFO::Writing filtered, normalized data to file Macarron_output/maaslin2_results/features/filtered_data_norm.tsv
## 2024-10-30 09:16:22.436928 INFO::Writing filtered, normalized, transformed data to file Macarron_output/maaslin2_results/features/filtered_data_norm_transformed.tsv
## 2024-10-30 09:16:22.49243 INFO::Writing residuals to file Macarron_output/maaslin2_results/fits/residuals.rds
## 2024-10-30 09:16:22.520382 INFO::Writing fitted values to file Macarron_output/maaslin2_results/fits/fitted.rds
## 2024-10-30 09:16:22.543626 INFO::Writing all results to file (ordered by increasing q-values): Macarron_output/maaslin2_results/all_results.tsv
## 2024-10-30 09:16:22.553255 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
## 2024-10-30 09:16:22.557565 INFO::Writing association plots (one for each significant association) to output folder: Macarron_output/maaslin2_results
## 2024-10-30 09:16:22.567926 INFO::Plotting associations from most to least significant, grouped by metadata
## 2024-10-30 09:16:22.568529 INFO::Plotting data for metadata number 1, diagnosis
## 2024-10-30 09:16:22.596619 INFO::Creating boxplot for categorical data, diagnosis vs F504
## 2024-10-30 09:16:22.783558 INFO::Creating boxplot for categorical data, diagnosis vs F859
## 2024-10-30 09:16:22.91655 INFO::Creating boxplot for categorical data, diagnosis vs F533
## 2024-10-30 09:16:23.023726 INFO::Creating boxplot for categorical data, diagnosis vs F587
## 2024-10-30 09:16:23.131841 INFO::Creating boxplot for categorical data, diagnosis vs F584
## 2024-10-30 09:16:23.239855 INFO::Creating boxplot for categorical data, diagnosis vs F197
## 2024-10-30 09:16:23.354276 INFO::Creating boxplot for categorical data, diagnosis vs F380
## 2024-10-30 09:16:23.461747 INFO::Creating boxplot for categorical data, diagnosis vs F829
## 2024-10-30 09:16:23.569337 INFO::Creating boxplot for categorical data, diagnosis vs F664
## 2024-10-30 09:16:23.722228 INFO::Creating boxplot for categorical data, diagnosis vs F93
## 2024-10-30 09:16:23.829597 INFO::Creating boxplot for categorical data, diagnosis vs F15
## 2024-10-30 09:16:23.936801 INFO::Creating boxplot for categorical data, diagnosis vs F881
## 2024-10-30 09:16:24.046705 INFO::Creating boxplot for categorical data, diagnosis vs F806
## 2024-10-30 09:16:24.163469 INFO::Creating boxplot for categorical data, diagnosis vs F78
## 2024-10-30 09:16:24.269654 INFO::Creating boxplot for categorical data, diagnosis vs F189
## 2024-10-30 09:16:24.37873 INFO::Creating boxplot for categorical data, diagnosis vs F369
## 2024-10-30 09:16:24.497257 INFO::Creating boxplot for categorical data, diagnosis vs F623
## 2024-10-30 09:16:24.611866 INFO::Creating boxplot for categorical data, diagnosis vs F710
## 2024-10-30 09:16:24.718915 INFO::Creating boxplot for categorical data, diagnosis vs F851
## 2024-10-30 09:16:24.828841 INFO::Creating boxplot for categorical data, diagnosis vs F257
## 2024-10-30 09:16:24.937757 INFO::Creating boxplot for categorical data, diagnosis vs F330
## 2024-10-30 09:16:25.055946 INFO::Creating boxplot for categorical data, diagnosis vs F344
## 2024-10-30 09:16:25.165148 INFO::Creating boxplot for categorical data, diagnosis vs F696
## 2024-10-30 09:16:25.272673 INFO::Creating boxplot for categorical data, diagnosis vs F741
## 2024-10-30 09:16:25.389728 INFO::Creating boxplot for categorical data, diagnosis vs F509
## 2024-10-30 09:16:25.501292 INFO::Creating boxplot for categorical data, diagnosis vs F479
## 2024-10-30 09:16:25.609343 INFO::Creating boxplot for categorical data, diagnosis vs F550
## 2024-10-30 09:16:25.718347 INFO::Creating boxplot for categorical data, diagnosis vs F640
## 2024-10-30 09:16:25.833908 INFO::Creating boxplot for categorical data, diagnosis vs F281
## 2024-10-30 09:16:25.940103 INFO::Creating boxplot for categorical data, diagnosis vs F80
## 2024-10-30 09:16:26.046939 INFO::Creating boxplot for categorical data, diagnosis vs F285
## 2024-10-30 09:16:26.155914 INFO::Creating boxplot for categorical data, diagnosis vs F531
## 2024-10-30 09:16:26.271464 INFO::Creating boxplot for categorical data, diagnosis vs F737
## 2024-10-30 09:16:26.379795 INFO::Creating boxplot for categorical data, diagnosis vs F875
## 2024-10-30 09:16:26.48897 INFO::Creating boxplot for categorical data, diagnosis vs F864
## 2024-10-30 09:16:26.60463 INFO::Creating boxplot for categorical data, diagnosis vs F379
## 2024-10-30 09:16:26.711147 INFO::Creating boxplot for categorical data, diagnosis vs F190
## 2024-10-30 09:16:26.8195 INFO::Creating boxplot for categorical data, diagnosis vs F4
## 2024-10-30 09:16:26.92983 INFO::Creating boxplot for categorical data, diagnosis vs F591
## 2024-10-30 09:16:27.044868 INFO::Creating boxplot for categorical data, diagnosis vs F773
## 2024-10-30 09:16:27.151851 INFO::Creating boxplot for categorical data, diagnosis vs F283
## 2024-10-30 09:16:27.260257 INFO::Creating boxplot for categorical data, diagnosis vs F233
## 2024-10-30 09:16:27.370634 INFO::Creating boxplot for categorical data, diagnosis vs F420
## 2024-10-30 09:16:27.486479 INFO::Creating boxplot for categorical data, diagnosis vs F5
## 2024-10-30 09:16:27.593539 INFO::Creating boxplot for categorical data, diagnosis vs F137
## 2024-10-30 09:16:27.702138 INFO::Creating boxplot for categorical data, diagnosis vs F215
## 2024-10-30 09:16:27.820981 INFO::Creating boxplot for categorical data, diagnosis vs F489
## 2024-10-30 09:16:27.927707 INFO::Creating boxplot for categorical data, diagnosis vs F220
## 2024-10-30 09:16:28.035626 INFO::Creating boxplot for categorical data, diagnosis vs F691
## 2024-10-30 09:16:28.146383 INFO::Creating boxplot for categorical data, diagnosis vs F381
## 2024-10-30 09:16:28.263942 INFO::Creating boxplot for categorical data, diagnosis vs F539
## 2024-10-30 09:16:28.371243 INFO::Creating boxplot for categorical data, diagnosis vs F490
## 2024-10-30 09:16:28.480278 INFO::Creating boxplot for categorical data, diagnosis vs F832
## 2024-10-30 09:16:28.59697 INFO::Creating boxplot for categorical data, diagnosis vs F396
## 2024-10-30 09:16:28.704101 INFO::Creating boxplot for categorical data, diagnosis vs F528
## 2024-10-30 09:16:28.812168 INFO::Creating boxplot for categorical data, diagnosis vs F234
## 2024-10-30 09:16:28.919749 INFO::Creating boxplot for categorical data, diagnosis vs F178
## 2024-10-30 09:16:29.035302 INFO::Creating boxplot for categorical data, diagnosis vs F761
## 2024-10-30 09:16:29.141492 INFO::Creating boxplot for categorical data, diagnosis vs F2
## 2024-10-30 09:16:29.24974 INFO::Creating boxplot for categorical data, diagnosis vs F260
## 2024-10-30 09:16:29.360119 INFO::Creating boxplot for categorical data, diagnosis vs F734
## 2024-10-30 09:16:29.479405 INFO::Creating boxplot for categorical data, diagnosis vs F429
## 2024-10-30 09:16:29.586853 INFO::Creating boxplot for categorical data, diagnosis vs F630
## 2024-10-30 09:16:29.695837 INFO::Creating boxplot for categorical data, diagnosis vs F817
## 2024-10-30 09:16:29.812039 INFO::Creating boxplot for categorical data, diagnosis vs F847
## 2024-10-30 09:16:29.921378 INFO::Creating boxplot for categorical data, diagnosis vs F896
## 2024-10-30 09:16:30.029174 INFO::Creating boxplot for categorical data, diagnosis vs F81
## 2024-10-30 09:16:30.138904 INFO::Creating boxplot for categorical data, diagnosis vs F110
## 2024-10-30 09:16:30.256663 INFO::Creating boxplot for categorical data, diagnosis vs F3
## 2024-10-30 09:16:30.364166 INFO::Creating boxplot for categorical data, diagnosis vs F33
## 2024-10-30 09:16:30.475987 INFO::Creating boxplot for categorical data, diagnosis vs F270
## 2024-10-30 09:16:30.592791 INFO::Creating boxplot for categorical data, diagnosis vs F278
## 2024-10-30 09:16:30.698327 INFO::Creating boxplot for categorical data, diagnosis vs F264
## 2024-10-30 09:16:30.805997 INFO::Creating boxplot for categorical data, diagnosis vs F90
## 2024-10-30 09:16:30.913605 INFO::Creating boxplot for categorical data, diagnosis vs F403
## 2024-10-30 09:16:31.032257 INFO::Creating boxplot for categorical data, diagnosis vs F727
## 2024-10-30 09:16:31.139404 INFO::Creating boxplot for categorical data, diagnosis vs F394
## 2024-10-30 09:16:31.249759 INFO::Creating boxplot for categorical data, diagnosis vs F800
## 2024-10-30 09:16:31.367675 INFO::Creating boxplot for categorical data, diagnosis vs F439
## 2024-10-30 09:16:31.475645 INFO::Creating boxplot for categorical data, diagnosis vs F554
## 2024-10-30 09:16:31.582266 INFO::Creating boxplot for categorical data, diagnosis vs F559
## 2024-10-30 09:16:31.689503 INFO::Creating boxplot for categorical data, diagnosis vs F548
## 2024-10-30 09:16:31.805536 INFO::Creating boxplot for categorical data, diagnosis vs F794
## 2024-10-30 09:16:31.913545 INFO::Creating boxplot for categorical data, diagnosis vs F45
## 2024-10-30 09:16:32.021764 INFO::Creating boxplot for categorical data, diagnosis vs F158
## 2024-10-30 09:16:32.161635 INFO::Creating boxplot for categorical data, diagnosis vs F477
## 2024-10-30 09:16:32.272494 INFO::Creating boxplot for categorical data, diagnosis vs F1
## 2024-10-30 09:16:32.38138 INFO::Creating boxplot for categorical data, diagnosis vs F862
## 2024-10-30 09:16:32.4913 INFO::Creating boxplot for categorical data, diagnosis vs F803
## 2024-10-30 09:16:32.613673 INFO::Creating boxplot for categorical data, diagnosis vs F751
## 2024-10-30 09:16:32.723068 INFO::Creating boxplot for categorical data, diagnosis vs F98
## 2024-10-30 09:16:32.831091 INFO::Creating boxplot for categorical data, diagnosis vs F22
## 2024-10-30 09:16:32.939193 INFO::Creating boxplot for categorical data, diagnosis vs F625
## 2024-10-30 09:16:33.060541 INFO::Creating boxplot for categorical data, diagnosis vs F206
## 2024-10-30 09:16:33.168057 INFO::Creating boxplot for categorical data, diagnosis vs F779
## 2024-10-30 09:16:33.276025 INFO::Creating boxplot for categorical data, diagnosis vs F532
## 2024-10-30 09:16:33.384506 INFO::Creating boxplot for categorical data, diagnosis vs F676
## 2024-10-30 09:16:33.508244 INFO::Creating boxplot for categorical data, diagnosis vs F644
## 2024-10-30 09:16:33.616976 INFO::Creating boxplot for categorical data, diagnosis vs F7
## 2024-10-30 09:16:33.724676 INFO::Creating boxplot for categorical data, diagnosis vs F596
## 2024-10-30 09:16:33.847811 INFO::Creating boxplot for categorical data, diagnosis vs F250
## 2024-10-30 09:16:33.957215 INFO::Creating boxplot for categorical data, diagnosis vs F462
## 2024-10-30 09:16:34.063533 INFO::Creating boxplot for categorical data, diagnosis vs F516
## 2024-10-30 09:16:34.171123 INFO::Creating boxplot for categorical data, diagnosis vs F659
## 2024-10-30 09:16:34.29441 INFO::Creating boxplot for categorical data, diagnosis vs F663
## 2024-10-30 09:16:34.40473 INFO::Creating boxplot for categorical data, diagnosis vs F837
## 2024-10-30 09:16:34.51421 INFO::Creating boxplot for categorical data, diagnosis vs F138
## 2024-10-30 09:16:34.623067 INFO::Creating boxplot for categorical data, diagnosis vs F445
## 2024-10-30 09:16:34.74506 INFO::Creating boxplot for categorical data, diagnosis vs F697
## 2024-10-30 09:16:34.852924 INFO::Creating boxplot for categorical data, diagnosis vs F225
## 2024-10-30 09:16:34.962835 INFO::Creating boxplot for categorical data, diagnosis vs F148
## 2024-10-30 09:16:35.084913 INFO::Creating boxplot for categorical data, diagnosis vs F448
## 2024-10-30 09:16:35.19587 INFO::Creating boxplot for categorical data, diagnosis vs F91
## 2024-10-30 09:16:35.304111 INFO::Creating boxplot for categorical data, diagnosis vs F123
## 2024-10-30 09:16:35.414041 INFO::Creating boxplot for categorical data, diagnosis vs F665
## 2024-10-30 09:16:35.536944 INFO::Creating boxplot for categorical data, diagnosis vs F845
## 2024-10-30 09:16:35.645398 INFO::Creating boxplot for categorical data, diagnosis vs F331
## 2024-10-30 09:16:35.75368 INFO::Creating boxplot for categorical data, diagnosis vs F361
## 2024-10-30 09:16:35.862983 INFO::Creating boxplot for categorical data, diagnosis vs F421
## 2024-10-30 09:16:35.98751 INFO::Creating boxplot for categorical data, diagnosis vs F277
## 2024-10-30 09:16:36.095188 INFO::Creating boxplot for categorical data, diagnosis vs F307
## 2024-10-30 09:16:36.204095 INFO::Creating boxplot for categorical data, diagnosis vs F503
## 2024-10-30 09:16:36.328943 INFO::Creating boxplot for categorical data, diagnosis vs F34
## 2024-10-30 09:16:36.440992 INFO::Creating boxplot for categorical data, diagnosis vs F649
## 2024-10-30 09:16:36.550348 INFO::Creating boxplot for categorical data, diagnosis vs F825
## 2024-10-30 09:16:36.65818 INFO::Creating boxplot for categorical data, diagnosis vs F298
## 2024-10-30 09:16:36.787127 INFO::Creating boxplot for categorical data, diagnosis vs F461
## 2024-10-30 09:16:36.895435 INFO::Creating boxplot for categorical data, diagnosis vs F242
## 2024-10-30 09:16:37.002685 INFO::Creating boxplot for categorical data, diagnosis vs F375
## 2024-10-30 09:16:37.112965 INFO::Creating boxplot for categorical data, diagnosis vs F648
## 2024-10-30 09:16:37.239322 INFO::Creating boxplot for categorical data, diagnosis vs F724
## 2024-10-30 09:16:37.349307 INFO::Creating boxplot for categorical data, diagnosis vs F678
## 2024-10-30 09:16:37.459135 INFO::Creating boxplot for categorical data, diagnosis vs F290
## 2024-10-30 09:16:37.58342 INFO::Creating boxplot for categorical data, diagnosis vs F743
## 2024-10-30 09:16:37.693763 INFO::Creating boxplot for categorical data, diagnosis vs F495
## 2024-10-30 09:16:37.802286 INFO::Creating boxplot for categorical data, diagnosis vs F261
## 2024-10-30 09:16:37.913952 INFO::Creating boxplot for categorical data, diagnosis vs F43
## 2024-10-30 09:16:38.038074 INFO::Creating boxplot for categorical data, diagnosis vs F714
## 2024-10-30 09:16:38.148444 INFO::Creating boxplot for categorical data, diagnosis vs F131
## 2024-10-30 09:16:38.256692 INFO::Creating boxplot for categorical data, diagnosis vs F150
## 2024-10-30 09:16:38.381222 INFO::Creating boxplot for categorical data, diagnosis vs F651
## 2024-10-30 09:16:38.495027 INFO::Creating boxplot for categorical data, diagnosis vs F798
## 2024-10-30 09:16:38.602416 INFO::Creating boxplot for categorical data, diagnosis vs F289
## 2024-10-30 09:16:38.711464 INFO::Creating boxplot for categorical data, diagnosis vs F661
## 2024-10-30 09:16:38.836015 INFO::Creating boxplot for categorical data, diagnosis vs F199
## 2024-10-30 09:16:38.942422 INFO::Creating boxplot for categorical data, diagnosis vs F406
## 2024-10-30 09:16:39.050376 INFO::Creating boxplot for categorical data, diagnosis vs F139
## 2024-10-30 09:16:39.176058 INFO::Creating boxplot for categorical data, diagnosis vs F506
## 2024-10-30 09:16:39.284667 INFO::Creating boxplot for categorical data, diagnosis vs F552
## 2024-10-30 09:16:39.393625 INFO::Creating boxplot for categorical data, diagnosis vs F94
## 2024-10-30 09:16:39.504966 INFO::Creating boxplot for categorical data, diagnosis vs F430
## 2024-10-30 09:16:39.628799 INFO::Creating boxplot for categorical data, diagnosis vs F639
## 2024-10-30 09:16:39.736759 INFO::Creating boxplot for categorical data, diagnosis vs F500
## 2024-10-30 09:16:39.84506 INFO::Creating boxplot for categorical data, diagnosis vs F609
## 2024-10-30 09:16:39.970162 INFO::Creating boxplot for categorical data, diagnosis vs F306
## 2024-10-30 09:16:40.090784 INFO::Creating boxplot for categorical data, diagnosis vs F507
## 2024-10-30 09:16:40.19892 INFO::Creating boxplot for categorical data, diagnosis vs F671
## 2024-10-30 09:16:40.308837 INFO::Creating boxplot for categorical data, diagnosis vs F894
## 2024-10-30 09:16:40.43428 INFO::Creating boxplot for categorical data, diagnosis vs F345
## 2024-10-30 09:16:40.549009 INFO::Creating boxplot for categorical data, diagnosis vs F801
## 2024-10-30 09:16:40.658331 INFO::Creating boxplot for categorical data, diagnosis vs F194
## 2024-10-30 09:16:41.266963 INFO::Creating boxplot for categorical data, diagnosis vs F195
## 2024-10-30 09:16:41.372646 INFO::Creating boxplot for categorical data, diagnosis vs F119
## 2024-10-30 09:16:41.482968 INFO::Creating boxplot for categorical data, diagnosis vs F120
## 2024-10-30 09:16:41.591179 INFO::Creating boxplot for categorical data, diagnosis vs F231
## 2024-10-30 09:16:41.705434 INFO::Creating boxplot for categorical data, diagnosis vs F311
## 2024-10-30 09:16:41.809683 INFO::Creating boxplot for categorical data, diagnosis vs F646
## 2024-10-30 09:16:41.914424 INFO::Creating boxplot for categorical data, diagnosis vs F814
## 2024-10-30 09:16:42.019702 INFO::Creating boxplot for categorical data, diagnosis vs F510
## 2024-10-30 09:16:42.133075 INFO::Creating boxplot for categorical data, diagnosis vs F398
## 2024-10-30 09:16:42.237106 INFO::Creating boxplot for categorical data, diagnosis vs F60
## 2024-10-30 09:16:42.344022 INFO::Creating boxplot for categorical data, diagnosis vs F153
## 2024-10-30 09:16:42.459559 INFO::Creating boxplot for categorical data, diagnosis vs F858
## 2024-10-30 09:16:42.568692 INFO::Creating boxplot for categorical data, diagnosis vs F775
## 2024-10-30 09:16:42.675545 INFO::Creating boxplot for categorical data, diagnosis vs F684
## 2024-10-30 09:16:42.782346 INFO::Creating boxplot for categorical data, diagnosis vs F384
## 2024-10-30 09:16:42.894697 INFO::Creating boxplot for categorical data, diagnosis vs F134
## 2024-10-30 09:16:43.001167 INFO::Creating boxplot for categorical data, diagnosis vs F670
## 2024-10-30 09:16:43.107665 INFO::Creating boxplot for categorical data, diagnosis vs F632
## 2024-10-30 09:16:43.216337 INFO::Creating boxplot for categorical data, diagnosis vs F721
## 2024-10-30 09:16:43.330455 INFO::Creating boxplot for categorical data, diagnosis vs F700
## 2024-10-30 09:16:43.435824 INFO::Creating boxplot for categorical data, diagnosis vs F376
## 2024-10-30 09:16:43.546433 INFO::Creating boxplot for categorical data, diagnosis vs F301
## 2024-10-30 09:16:43.653059 INFO::Creating boxplot for categorical data, diagnosis vs F27
## 2024-10-30 09:16:43.763641 INFO::Creating boxplot for categorical data, diagnosis vs F280
## 2024-10-30 09:16:43.870714 INFO::Creating boxplot for categorical data, diagnosis vs F391
## 2024-10-30 09:16:43.976794 INFO::Creating boxplot for categorical data, diagnosis vs F725
## 2024-10-30 09:16:44.089597 INFO::Creating boxplot for categorical data, diagnosis vs F186
## 2024-10-30 09:16:44.195804 INFO::Creating boxplot for categorical data, diagnosis vs F481
## 2024-10-30 09:16:44.300641 INFO::Creating boxplot for categorical data, diagnosis vs F333
## 2024-10-30 09:16:44.408447 INFO::Creating boxplot for categorical data, diagnosis vs F720
## 2024-10-30 09:16:44.526689 INFO::Creating boxplot for categorical data, diagnosis vs F520
## 2024-10-30 09:16:44.634049 INFO::Creating boxplot for categorical data, diagnosis vs F129
## 2024-10-30 09:16:44.740208 INFO::Creating boxplot for categorical data, diagnosis vs F204
## 2024-10-30 09:16:44.84721 INFO::Creating boxplot for categorical data, diagnosis vs F259
## 2024-10-30 09:16:44.95878 INFO::Creating boxplot for categorical data, diagnosis vs F831
## 2024-10-30 09:16:45.068044 INFO::Creating boxplot for categorical data, diagnosis vs F891
## 2024-10-30 09:16:45.17492 INFO::Creating boxplot for categorical data, diagnosis vs F262
## 2024-10-30 09:16:45.288097 INFO::Creating boxplot for categorical data, diagnosis vs F592
## 2024-10-30 09:16:45.393354 INFO::Creating boxplot for categorical data, diagnosis vs F343
## 2024-10-30 09:16:45.501153 INFO::Creating boxplot for categorical data, diagnosis vs F505
## 2024-10-30 09:16:45.609766 INFO::Creating boxplot for categorical data, diagnosis vs F622
## 2024-10-30 09:16:45.722758 INFO::Creating boxplot for categorical data, diagnosis vs F348
## 2024-10-30 09:16:45.827803 INFO::Creating boxplot for categorical data, diagnosis vs F133
## 2024-10-30 09:16:45.933654 INFO::Creating boxplot for categorical data, diagnosis vs F371
## 2024-10-30 09:16:46.042163 INFO::Creating boxplot for categorical data, diagnosis vs F113
## 2024-10-30 09:16:46.153205 INFO::Creating boxplot for categorical data, diagnosis vs F336
## 2024-10-30 09:16:46.258929 INFO::Creating boxplot for categorical data, diagnosis vs F399
## 2024-10-30 09:16:46.366731 INFO::Creating boxplot for categorical data, diagnosis vs F416
## 2024-10-30 09:16:46.48211 INFO::Creating boxplot for categorical data, diagnosis vs F657
## 2024-10-30 09:16:46.59201 INFO::Creating boxplot for categorical data, diagnosis vs F241
## 2024-10-30 09:16:46.697853 INFO::Creating boxplot for categorical data, diagnosis vs F95
## 2024-10-30 09:16:46.80502 INFO::Creating boxplot for categorical data, diagnosis vs F128
## 2024-10-30 09:16:46.917926 INFO::Creating boxplot for categorical data, diagnosis vs F595
## 2024-10-30 09:16:47.0244 INFO::Creating boxplot for categorical data, diagnosis vs F428
## 2024-10-30 09:16:47.130807 INFO::Creating boxplot for categorical data, diagnosis vs F796
## 2024-10-30 09:16:47.247459 INFO::Creating boxplot for categorical data, diagnosis vs F709
## 2024-10-30 09:16:47.352903 INFO::Creating boxplot for categorical data, diagnosis vs F602
## 2024-10-30 09:16:47.459623 INFO::Creating boxplot for categorical data, diagnosis vs F293
## 2024-10-30 09:16:47.566895 INFO::Creating boxplot for categorical data, diagnosis vs F867
## 2024-10-30 09:16:47.679592 INFO::Creating boxplot for categorical data, diagnosis vs F108
## 2024-10-30 09:16:47.786355 INFO::Creating boxplot for categorical data, diagnosis vs F846
## 2024-10-30 09:16:47.891955 INFO::Creating boxplot for categorical data, diagnosis vs F633
## 2024-10-30 09:16:48.005533 INFO::Creating boxplot for categorical data, diagnosis vs F564
## 2024-10-30 09:16:48.115593 INFO::Creating boxplot for categorical data, diagnosis vs F183
## 2024-10-30 09:16:48.222252 INFO::Creating boxplot for categorical data, diagnosis vs F647
## 2024-10-30 09:16:48.330885 INFO::Creating boxplot for categorical data, diagnosis vs F288
## 2024-10-30 09:16:48.449668 INFO::Creating boxplot for categorical data, diagnosis vs F159
## 2024-10-30 09:16:48.559919 INFO::Creating boxplot for categorical data, diagnosis vs F638
## 2024-10-30 09:16:48.665902 INFO::Creating boxplot for categorical data, diagnosis vs F484
## 2024-10-30 09:16:48.772277 INFO::Creating boxplot for categorical data, diagnosis vs F20
## 2024-10-30 09:16:48.885435 INFO::Creating boxplot for categorical data, diagnosis vs F19
## 2024-10-30 09:16:48.989689 INFO::Creating boxplot for categorical data, diagnosis vs F897
## 2024-10-30 09:16:49.097512 INFO::Creating boxplot for categorical data, diagnosis vs F442
## 2024-10-30 09:16:49.212601 INFO::Creating boxplot for categorical data, diagnosis vs F372
## 2024-10-30 09:16:49.31725 INFO::Creating boxplot for categorical data, diagnosis vs F771
## 2024-10-30 09:16:49.422782 INFO::Creating boxplot for categorical data, diagnosis vs F370
## 2024-10-30 09:16:49.529988 INFO::Creating boxplot for categorical data, diagnosis vs F620
## 2024-10-30 09:16:49.669368 INFO::Creating boxplot for categorical data, diagnosis vs F753
## 2024-10-30 09:16:49.776799 INFO::Creating boxplot for categorical data, diagnosis vs F568
## 2024-10-30 09:16:49.886885 INFO::Creating boxplot for categorical data, diagnosis vs F312
## 2024-10-30 09:16:50.00705 INFO::Creating boxplot for categorical data, diagnosis vs F485
## 2024-10-30 09:16:50.119662 INFO::Creating boxplot for categorical data, diagnosis vs F627
## 2024-10-30 09:16:50.224051 INFO::Creating boxplot for categorical data, diagnosis vs F72
## 2024-10-30 09:16:50.331076 INFO::Creating boxplot for categorical data, diagnosis vs F575
## 2024-10-30 09:16:50.454355 INFO::Creating boxplot for categorical data, diagnosis vs F332
## 2024-10-30 09:16:50.564395 INFO::Creating boxplot for categorical data, diagnosis vs F674
## 2024-10-30 09:16:50.67595 INFO::Creating boxplot for categorical data, diagnosis vs F537
## 2024-10-30 09:16:50.784347 INFO::Creating boxplot for categorical data, diagnosis vs F839
## 2024-10-30 09:16:50.906744 INFO::Creating boxplot for categorical data, diagnosis vs F715
## 2024-10-30 09:16:51.013653 INFO::Creating boxplot for categorical data, diagnosis vs F768
## 2024-10-30 09:16:51.119635 INFO::Creating boxplot for categorical data, diagnosis vs F202
## 2024-10-30 09:16:51.23695 INFO::Creating boxplot for categorical data, diagnosis vs F756
## 2024-10-30 09:16:51.350193 INFO::Creating boxplot for categorical data, diagnosis vs F536
## 2024-10-30 09:16:51.458561 INFO::Creating boxplot for categorical data, diagnosis vs F677
## 2024-10-30 09:16:51.566085 INFO::Creating boxplot for categorical data, diagnosis vs F435
## 2024-10-30 09:16:51.687584 INFO::Creating boxplot for categorical data, diagnosis vs F574
## 2024-10-30 09:16:51.795568 INFO::Creating boxplot for categorical data, diagnosis vs F70
## 2024-10-30 09:16:51.902148 INFO::Creating boxplot for categorical data, diagnosis vs F146
## 2024-10-30 09:16:52.008873 INFO::Creating boxplot for categorical data, diagnosis vs F236
## 2024-10-30 09:16:52.130541 INFO::Creating boxplot for categorical data, diagnosis vs F527
## 2024-10-30 09:16:52.240433 INFO::Creating boxplot for categorical data, diagnosis vs F624
## 2024-10-30 09:16:52.349785 INFO::Creating boxplot for categorical data, diagnosis vs F426
## 2024-10-30 09:16:52.460814 INFO::Creating boxplot for categorical data, diagnosis vs F880
## 2024-10-30 09:16:52.582155 INFO::Creating boxplot for categorical data, diagnosis vs F549
## 2024-10-30 09:16:52.691094 INFO::Creating boxplot for categorical data, diagnosis vs F49
## 2024-10-30 09:16:52.798363 INFO::Creating boxplot for categorical data, diagnosis vs F67
## 2024-10-30 09:16:52.91942 INFO::Creating boxplot for categorical data, diagnosis vs F491
## 2024-10-30 09:16:53.029988 INFO::Creating boxplot for categorical data, diagnosis vs F174
## 2024-10-30 09:16:53.137034 INFO::Creating boxplot for categorical data, diagnosis vs F254
## 2024-10-30 09:16:53.245623 INFO::Creating boxplot for categorical data, diagnosis vs F112
## 2024-10-30 09:16:53.365631 INFO::Creating boxplot for categorical data, diagnosis vs F235
## 2024-10-30 09:16:53.472407 INFO::Creating boxplot for categorical data, diagnosis vs F833
## 2024-10-30 09:16:53.579469 INFO::Creating boxplot for categorical data, diagnosis vs F752
## 2024-10-30 09:16:53.68819 INFO::Creating boxplot for categorical data, diagnosis vs F792
## 2024-10-30 09:16:53.810946 INFO::Creating boxplot for categorical data, diagnosis vs F422
## 2024-10-30 09:16:53.916942 INFO::Creating boxplot for categorical data, diagnosis vs F6
## 2024-10-30 09:16:54.023296 INFO::Creating boxplot for categorical data, diagnosis vs F463
## 2024-10-30 09:16:54.143622 INFO::Creating boxplot for categorical data, diagnosis vs F706
## 2024-10-30 09:16:54.252899 INFO::Creating boxplot for categorical data, diagnosis vs F642
## 2024-10-30 09:16:54.361251 INFO::Creating boxplot for categorical data, diagnosis vs F65
## 2024-10-30 09:16:54.472683 INFO::Creating boxplot for categorical data, diagnosis vs F102
## 2024-10-30 09:16:54.593803 INFO::Creating boxplot for categorical data, diagnosis vs F783
## 2024-10-30 09:16:54.704196 INFO::Creating boxplot for categorical data, diagnosis vs F478
## 2024-10-30 09:16:54.810097 INFO::Creating boxplot for categorical data, diagnosis vs F889
## 2024-10-30 09:16:54.932699 INFO::Creating boxplot for categorical data, diagnosis vs F350
## 2024-10-30 09:16:55.041176 INFO::Creating boxplot for categorical data, diagnosis vs F681
## 2024-10-30 09:16:55.15017 INFO::Creating boxplot for categorical data, diagnosis vs F748
## 2024-10-30 09:16:55.258642 INFO::Creating boxplot for categorical data, diagnosis vs F762
## 2024-10-30 09:16:55.3796 INFO::Creating boxplot for categorical data, diagnosis vs F852
## 2024-10-30 09:16:55.487388 INFO::Creating boxplot for categorical data, diagnosis vs F180
## 2024-10-30 09:16:55.594236 INFO::Creating boxplot for categorical data, diagnosis vs F248
## 2024-10-30 09:16:55.702388 INFO::Creating boxplot for categorical data, diagnosis vs F759
## 2024-10-30 09:16:55.824918 INFO::Creating boxplot for categorical data, diagnosis vs F824
## 2024-10-30 09:16:55.933042 INFO::Creating boxplot for categorical data, diagnosis vs F145
## 2024-10-30 09:16:56.041347 INFO::Creating boxplot for categorical data, diagnosis vs F16
## 2024-10-30 09:16:56.163882 INFO::Creating boxplot for categorical data, diagnosis vs F169
## 2024-10-30 09:16:56.272059 INFO::Creating boxplot for categorical data, diagnosis vs F392
## 2024-10-30 09:16:56.379027 INFO::Creating boxplot for categorical data, diagnosis vs F468
## 2024-10-30 09:16:56.490036 INFO::Creating boxplot for categorical data, diagnosis vs F476
## 2024-10-30 09:16:56.613472 INFO::Creating boxplot for categorical data, diagnosis vs F699
## 2024-10-30 09:16:56.72411 INFO::Creating boxplot for categorical data, diagnosis vs F735
## 2024-10-30 09:16:56.832041 INFO::Creating boxplot for categorical data, diagnosis vs F182
## 2024-10-30 09:16:56.955622 INFO::Creating boxplot for categorical data, diagnosis vs F64
## 2024-10-30 09:16:57.064868 INFO::Creating boxplot for categorical data, diagnosis vs F203
## 2024-10-30 09:16:57.172403 INFO::Creating boxplot for categorical data, diagnosis vs F877
## 2024-10-30 09:16:57.280527 INFO::Creating boxplot for categorical data, diagnosis vs F433
## 2024-10-30 09:16:57.402734 INFO::Creating boxplot for categorical data, diagnosis vs F739
## 2024-10-30 09:16:57.510249 INFO::Creating boxplot for categorical data, diagnosis vs F749
## 2024-10-30 09:16:57.616861 INFO::Creating boxplot for categorical data, diagnosis vs F382
## 2024-10-30 09:16:57.738531 INFO::Creating boxplot for categorical data, diagnosis vs F162
## 2024-10-30 09:16:57.848435 INFO::Creating boxplot for categorical data, diagnosis vs F438
## 2024-10-30 09:16:57.954616 INFO::Creating boxplot for categorical data, diagnosis vs F360
## 2024-10-30 09:16:58.065097 INFO::Creating boxplot for categorical data, diagnosis vs F56
## 2024-10-30 09:16:58.217319 INFO::Creating boxplot for categorical data, diagnosis vs F529
## 2024-10-30 09:16:58.332583 INFO::Creating boxplot for categorical data, diagnosis vs F48
## 2024-10-30 09:16:58.445176 INFO::Creating boxplot for categorical data, diagnosis vs F826
## 2024-10-30 09:16:58.567469 INFO::Creating boxplot for categorical data, diagnosis vs F488
## 2024-10-30 09:16:58.681535 INFO::Creating boxplot for categorical data, diagnosis vs F309
## 2024-10-30 09:16:58.791486 INFO::Creating boxplot for categorical data, diagnosis vs F834
## 2024-10-30 09:16:58.900613 INFO::Creating boxplot for categorical data, diagnosis vs F449
## 2024-10-30 09:16:59.021588 INFO::Creating boxplot for categorical data, diagnosis vs F77
## 2024-10-30 09:16:59.130268 INFO::Creating boxplot for categorical data, diagnosis vs F365
## 2024-10-30 09:16:59.239542 INFO::Creating boxplot for categorical data, diagnosis vs F346
## 2024-10-30 09:16:59.348102 INFO::Creating boxplot for categorical data, diagnosis vs F654
## 2024-10-30 09:16:59.471194 INFO::Creating boxplot for categorical data, diagnosis vs F79
## 2024-10-30 09:16:59.582672 INFO::Creating boxplot for categorical data, diagnosis vs F785
## 2024-10-30 09:16:59.690441 INFO::Creating boxplot for categorical data, diagnosis vs F415
## 2024-10-30 09:16:59.79809 INFO::Creating boxplot for categorical data, diagnosis vs F466
## 2024-10-30 09:16:59.920431 INFO::Creating boxplot for categorical data, diagnosis vs F643
## 2024-10-30 09:17:00.030823 INFO::Creating boxplot for categorical data, diagnosis vs F160
## 2024-10-30 09:17:00.143441 INFO::Creating boxplot for categorical data, diagnosis vs F69
## 2024-10-30 09:17:00.265277 INFO::Creating boxplot for categorical data, diagnosis vs F498
## 2024-10-30 09:17:00.377134 INFO::Creating boxplot for categorical data, diagnosis vs F207
## 2024-10-30 09:17:00.488765 INFO::Creating boxplot for categorical data, diagnosis vs F679
## 2024-10-30 09:17:00.595395 INFO::Creating boxplot for categorical data, diagnosis vs F618
## 2024-10-30 09:17:00.720141 INFO::Creating boxplot for categorical data, diagnosis vs F255
## 2024-10-30 09:17:00.831736 INFO::Creating boxplot for categorical data, diagnosis vs F267
## 2024-10-30 09:17:00.941144 INFO::Creating boxplot for categorical data, diagnosis vs F143
## 2024-10-30 09:17:01.048381 INFO::Creating boxplot for categorical data, diagnosis vs F286
## 2024-10-30 09:17:01.169522 INFO::Creating boxplot for categorical data, diagnosis vs F562
## 2024-10-30 09:17:01.280115 INFO::Creating boxplot for categorical data, diagnosis vs F100
## 2024-10-30 09:17:01.390914 INFO::Creating boxplot for categorical data, diagnosis vs F374
## 2024-10-30 09:17:01.513282 INFO::Creating boxplot for categorical data, diagnosis vs F535
## 2024-10-30 09:17:01.624438 INFO::Creating boxplot for categorical data, diagnosis vs F658
## 2024-10-30 09:17:01.732629 INFO::Creating boxplot for categorical data, diagnosis vs F707
## 2024-10-30 09:17:01.840866 INFO::Creating boxplot for categorical data, diagnosis vs F325
## 2024-10-30 09:17:01.965649 INFO::Creating boxplot for categorical data, diagnosis vs F89
## 2024-10-30 09:17:02.076234 INFO::Creating boxplot for categorical data, diagnosis vs F214
## 2024-10-30 09:17:02.183581 INFO::Creating boxplot for categorical data, diagnosis vs F578
## 2024-10-30 09:17:02.302183 INFO::Creating boxplot for categorical data, diagnosis vs F790
## 2024-10-30 09:17:02.417835 INFO::Creating boxplot for categorical data, diagnosis vs F265
## 2024-10-30 09:17:02.529214 INFO::Creating boxplot for categorical data, diagnosis vs F253
## 2024-10-30 09:17:02.638455 INFO::Creating boxplot for categorical data, diagnosis vs F294
## 2024-10-30 09:17:02.761174 INFO::Creating boxplot for categorical data, diagnosis vs F410
## 2024-10-30 09:17:02.873649 INFO::Creating boxplot for categorical data, diagnosis vs F614
## 2024-10-30 09:17:02.98018 INFO::Creating boxplot for categorical data, diagnosis vs F764
## 2024-10-30 09:17:03.089281 INFO::Creating boxplot for categorical data, diagnosis vs F59
## 2024-10-30 09:17:03.209869 INFO::Creating boxplot for categorical data, diagnosis vs F675
## 2024-10-30 09:17:03.321557 INFO::Creating boxplot for categorical data, diagnosis vs F441
## 2024-10-30 09:17:03.432554 INFO::Creating boxplot for categorical data, diagnosis vs F193
## 2024-10-30 09:17:03.55312 INFO::Creating boxplot for categorical data, diagnosis vs F689
## 2024-10-30 09:17:03.664355 INFO::Creating boxplot for categorical data, diagnosis vs F249
## 2024-10-30 09:17:03.774291 INFO::Creating boxplot for categorical data, diagnosis vs F821
## 2024-10-30 09:17:03.885682 INFO::Creating boxplot for categorical data, diagnosis vs F351
## 2024-10-30 09:17:04.007052 INFO::Creating boxplot for categorical data, diagnosis vs F66
## 2024-10-30 09:17:04.117655 INFO::Creating boxplot for categorical data, diagnosis vs F413
## 2024-10-30 09:17:04.223679 INFO::Creating boxplot for categorical data, diagnosis vs F172
## 2024-10-30 09:17:04.344882 INFO::Creating boxplot for categorical data, diagnosis vs F317
## 2024-10-30 09:17:04.45794 INFO::Creating boxplot for categorical data, diagnosis vs F167
## 2024-10-30 09:17:04.568962 INFO::Creating boxplot for categorical data, diagnosis vs F229
## 2024-10-30 09:17:04.677167 INFO::Creating boxplot for categorical data, diagnosis vs F243
## 2024-10-30 09:17:04.804021 INFO::Creating boxplot for categorical data, diagnosis vs F732
## 2024-10-30 09:17:04.915052 INFO::Creating boxplot for categorical data, diagnosis vs F467
## 2024-10-30 09:17:05.02235 INFO::Creating boxplot for categorical data, diagnosis vs F474
## 2024-10-30 09:17:05.144975 INFO::Creating boxplot for categorical data, diagnosis vs F156
## 2024-10-30 09:17:05.257877 INFO::Creating boxplot for categorical data, diagnosis vs F786
## 2024-10-30 09:17:05.365425 INFO::Creating boxplot for categorical data, diagnosis vs F216
## 2024-10-30 09:17:05.475245 INFO::Creating boxplot for categorical data, diagnosis vs F85
## 2024-10-30 09:17:05.59745 INFO::Creating boxplot for categorical data, diagnosis vs F621
## 2024-10-30 09:17:05.70695 INFO::Creating boxplot for categorical data, diagnosis vs F558
## 2024-10-30 09:17:05.815211 INFO::Creating boxplot for categorical data, diagnosis vs F582
## 2024-10-30 09:17:05.935501 INFO::Creating boxplot for categorical data, diagnosis vs F898
## 2024-10-30 09:17:06.046651 INFO::Creating boxplot for categorical data, diagnosis vs F402
## 2024-10-30 09:17:06.156317 INFO::Creating boxplot for categorical data, diagnosis vs F71
## 2024-10-30 09:17:06.264544 INFO::Creating boxplot for categorical data, diagnosis vs F99
## 2024-10-30 09:17:06.38883 INFO::Creating boxplot for categorical data, diagnosis vs F366
## 2024-10-30 09:17:06.498938 INFO::Creating boxplot for categorical data, diagnosis vs F778
## 2024-10-30 09:17:06.605572 INFO::Creating boxplot for categorical data, diagnosis vs F188
## 2024-10-30 09:17:06.750437 INFO::Creating boxplot for categorical data, diagnosis vs F857
## 2024-10-30 09:17:06.867864 INFO::Creating boxplot for categorical data, diagnosis vs F440
## 2024-10-30 09:17:06.979466 INFO::Creating boxplot for categorical data, diagnosis vs F799
## 2024-10-30 09:17:07.090339 INFO::Creating boxplot for categorical data, diagnosis vs F482
## 2024-10-30 09:17:07.216883 INFO::Creating boxplot for categorical data, diagnosis vs F212
## 2024-10-30 09:17:07.326688 INFO::Creating boxplot for categorical data, diagnosis vs F882
## 2024-10-30 09:17:07.437755 INFO::Creating boxplot for categorical data, diagnosis vs F599
## 2024-10-30 09:17:07.548404 INFO::Creating boxplot for categorical data, diagnosis vs F302
## 2024-10-30 09:17:07.674994 INFO::Creating boxplot for categorical data, diagnosis vs F543
## 2024-10-30 09:17:07.788937 INFO::Creating boxplot for categorical data, diagnosis vs F269
## 2024-10-30 09:17:07.90444 INFO::Creating boxplot for categorical data, diagnosis vs F650
## 2024-10-30 09:17:08.013767 INFO::Creating boxplot for categorical data, diagnosis vs F456
## 2024-10-30 09:17:08.143341 INFO::Creating boxplot for categorical data, diagnosis vs F573
## 2024-10-30 09:17:08.256411 INFO::Creating boxplot for categorical data, diagnosis vs F8
## 2024-10-30 09:17:08.370602 INFO::Creating boxplot for categorical data, diagnosis vs F810
## 2024-10-30 09:17:08.500645 INFO::Creating boxplot for categorical data, diagnosis vs F401
## 2024-10-30 09:17:08.613153 INFO::Creating boxplot for categorical data, diagnosis vs F606
## 2024-10-30 09:17:08.723665 INFO::Creating boxplot for categorical data, diagnosis vs F662
## 2024-10-30 09:17:08.835244 INFO::Creating boxplot for categorical data, diagnosis vs F765
## 2024-10-30 09:17:08.962515 INFO::Creating boxplot for categorical data, diagnosis vs F887
## 2024-10-30 09:17:09.074088 INFO::Creating boxplot for categorical data, diagnosis vs F770
## 2024-10-30 09:17:09.183883 INFO::Creating boxplot for categorical data, diagnosis vs F469
## 2024-10-30 09:17:09.294182 INFO::Creating boxplot for categorical data, diagnosis vs F86
## 2024-10-30 09:17:09.424093 INFO::Creating boxplot for categorical data, diagnosis vs F400
## 2024-10-30 09:17:09.53535 INFO::Creating boxplot for categorical data, diagnosis vs F579
## 2024-10-30 09:17:09.646501 INFO::Creating boxplot for categorical data, diagnosis vs F871
## 2024-10-30 09:17:09.773396 INFO::Creating boxplot for categorical data, diagnosis vs F37
## 2024-10-30 09:17:09.883918 INFO::Creating boxplot for categorical data, diagnosis vs F446
## 2024-10-30 09:17:09.995456 INFO::Creating boxplot for categorical data, diagnosis vs F218
## 2024-10-30 09:17:10.10736 INFO::Creating boxplot for categorical data, diagnosis vs F321
## 2024-10-30 09:17:10.236171 INFO::Creating boxplot for categorical data, diagnosis vs F487
## 2024-10-30 09:17:10.349777 INFO::Creating boxplot for categorical data, diagnosis vs F740
## 2024-10-30 09:17:10.46215 INFO::Creating boxplot for categorical data, diagnosis vs F141
## 2024-10-30 09:17:10.579872 INFO::Creating boxplot for categorical data, diagnosis vs F327
## 2024-10-30 09:17:10.698289 INFO::Creating boxplot for categorical data, diagnosis vs F196
## 2024-10-30 09:17:10.809343 INFO::Creating boxplot for categorical data, diagnosis vs F883
## 2024-10-30 09:17:10.921084 INFO::Creating boxplot for categorical data, diagnosis vs F279
## 2024-10-30 09:17:11.04861 INFO::Creating boxplot for categorical data, diagnosis vs F838
## 2024-10-30 09:17:11.160277 INFO::Creating boxplot for categorical data, diagnosis vs F451
## 2024-10-30 09:17:11.271878 INFO::Creating boxplot for categorical data, diagnosis vs F854
## 2024-10-30 09:17:11.380202 INFO::Creating boxplot for categorical data, diagnosis vs F434
## 2024-10-30 09:17:11.508644 INFO::Creating boxplot for categorical data, diagnosis vs F519
## 2024-10-30 09:17:11.619215 INFO::Creating boxplot for categorical data, diagnosis vs F694
## 2024-10-30 09:17:11.730469 INFO::Creating boxplot for categorical data, diagnosis vs F561
## 2024-10-30 09:17:11.858593 INFO::Creating boxplot for categorical data, diagnosis vs F10
## 2024-10-30 09:17:11.971563 INFO::Creating boxplot for categorical data, diagnosis vs F303
## 2024-10-30 09:17:12.081326 INFO::Creating boxplot for categorical data, diagnosis vs F512
## 2024-10-30 09:17:12.191496 INFO::Creating boxplot for categorical data, diagnosis vs F645
## 2024-10-30 09:17:12.31837 INFO::Creating boxplot for categorical data, diagnosis vs F793
## 2024-10-30 09:17:12.433295 INFO::Creating boxplot for categorical data, diagnosis vs F404
## 2024-10-30 09:17:12.548137 INFO::Creating boxplot for categorical data, diagnosis vs F362
## 2024-10-30 09:17:12.680436 INFO::Creating boxplot for categorical data, diagnosis vs F525
## 2024-10-30 09:17:12.797667 INFO::Creating boxplot for categorical data, diagnosis vs F742
## 2024-10-30 09:17:12.911452 INFO::Creating boxplot for categorical data, diagnosis vs F276
## 2024-10-30 09:17:13.023612 INFO::Creating boxplot for categorical data, diagnosis vs F499
## 2024-10-30 09:17:13.152792 INFO::Creating boxplot for categorical data, diagnosis vs F328
## 2024-10-30 09:17:13.266617 INFO::Creating boxplot for categorical data, diagnosis vs F787
## 2024-10-30 09:17:13.376813 INFO::Creating boxplot for categorical data, diagnosis vs F30
## 2024-10-30 09:17:13.500568 INFO::Creating boxplot for categorical data, diagnosis vs F122
## 2024-10-30 09:17:13.619395 INFO::Creating boxplot for categorical data, diagnosis vs F619
## 2024-10-30 09:17:13.731294 INFO::Creating boxplot for categorical data, diagnosis vs F572
## 2024-10-30 09:17:13.842211 INFO::Creating boxplot for categorical data, diagnosis vs F47
## 2024-10-30 09:17:13.974042 INFO::Creating boxplot for categorical data, diagnosis vs F570
## 2024-10-30 09:17:14.084388 INFO::Creating boxplot for categorical data, diagnosis vs F26
## 2024-10-30 09:17:14.194006 INFO::Creating boxplot for categorical data, diagnosis vs F252
## 2024-10-30 09:17:14.316416 INFO::Creating boxplot for categorical data, diagnosis vs F117
## 2024-10-30 09:17:14.434661 INFO::Creating boxplot for categorical data, diagnosis vs F683
## 2024-10-30 09:17:14.545662 INFO::Creating boxplot for categorical data, diagnosis vs F395
## 2024-10-30 09:17:14.656626 INFO::Creating boxplot for categorical data, diagnosis vs F822
## 2024-10-30 09:17:14.784445 INFO::Creating boxplot for categorical data, diagnosis vs F46
## 2024-10-30 09:17:14.894414 INFO::Creating boxplot for categorical data, diagnosis vs F154
## 2024-10-30 09:17:15.005143 INFO::Creating boxplot for categorical data, diagnosis vs F540
## 2024-10-30 09:17:15.131814 INFO::Creating boxplot for categorical data, diagnosis vs F884
## 2024-10-30 09:17:15.246411 INFO::Creating boxplot for categorical data, diagnosis vs F368
## 2024-10-30 09:17:15.359056 INFO::Creating boxplot for categorical data, diagnosis vs F607
## 2024-10-30 09:17:15.471342 INFO::Creating boxplot for categorical data, diagnosis vs F111
## 2024-10-30 09:17:15.637791 INFO::Creating boxplot for categorical data, diagnosis vs F745
## 2024-10-30 09:17:15.749417 INFO::Creating boxplot for categorical data, diagnosis vs F673
## 2024-10-30 09:17:15.861688 INFO::Creating boxplot for categorical data, diagnosis vs F92
## 2024-10-30 09:17:15.977237 INFO::Creating boxplot for categorical data, diagnosis vs F493
## 2024-10-30 09:17:16.10526 INFO::Creating boxplot for categorical data, diagnosis vs F835
## 2024-10-30 09:17:16.217805 INFO::Creating boxplot for categorical data, diagnosis vs F872
## 2024-10-30 09:17:16.330239 INFO::Creating boxplot for categorical data, diagnosis vs F879
## 2024-10-30 09:17:16.456771 INFO::Creating boxplot for categorical data, diagnosis vs F432
## 2024-10-30 09:17:16.569021 INFO::Creating boxplot for categorical data, diagnosis vs F518
## 2024-10-30 09:17:16.679368 INFO::Creating boxplot for categorical data, diagnosis vs F44
## 2024-10-30 09:17:16.790842 INFO::Creating boxplot for categorical data, diagnosis vs F240
## 2024-10-30 09:17:16.916201 INFO::Creating boxplot for categorical data, diagnosis vs F819
## 2024-10-30 09:17:17.028682 INFO::Creating boxplot for categorical data, diagnosis vs F411
## 2024-10-30 09:17:17.141924 INFO::Creating boxplot for categorical data, diagnosis vs F353
## 2024-10-30 09:17:17.254148 INFO::Creating boxplot for categorical data, diagnosis vs F763
## 2024-10-30 09:17:17.380135 INFO::Creating boxplot for categorical data, diagnosis vs F97
## 2024-10-30 09:17:17.490479 INFO::Creating boxplot for categorical data, diagnosis vs F40
## 2024-10-30 09:17:17.603744 INFO::Creating boxplot for categorical data, diagnosis vs F652
## 2024-10-30 09:17:17.731544 INFO::Creating boxplot for categorical data, diagnosis vs F789
## 2024-10-30 09:17:17.844179 INFO::Creating boxplot for categorical data, diagnosis vs F25
## 2024-10-30 09:17:17.955156 INFO::Creating boxplot for categorical data, diagnosis vs F256
## 2024-10-30 09:17:18.069746 INFO::Creating boxplot for categorical data, diagnosis vs F423
## 2024-10-30 09:17:18.197874 INFO::Creating boxplot for categorical data, diagnosis vs F594
## 2024-10-30 09:17:18.310158 INFO::Creating boxplot for categorical data, diagnosis vs F201
## 2024-10-30 09:17:18.426097 INFO::Creating boxplot for categorical data, diagnosis vs F813
## 2024-10-30 09:17:18.54109 INFO::Creating boxplot for categorical data, diagnosis vs F653
## 2024-10-30 09:17:18.669779 INFO::Creating boxplot for categorical data, diagnosis vs F524
## 2024-10-30 09:17:18.780243 INFO::Creating boxplot for categorical data, diagnosis vs F777
## 2024-10-30 09:17:18.89291 INFO::Creating boxplot for categorical data, diagnosis vs F226
## 2024-10-30 09:17:19.021651 INFO::Creating boxplot for categorical data, diagnosis vs F227
## 2024-10-30 09:17:19.134784 INFO::Creating boxplot for categorical data, diagnosis vs F521
## 2024-10-30 09:17:19.246063 INFO::Creating boxplot for categorical data, diagnosis vs F14
## 2024-10-30 09:17:19.357139 INFO::Creating boxplot for categorical data, diagnosis vs F310
## 2024-10-30 09:17:19.484244 INFO::Creating boxplot for categorical data, diagnosis vs F452
## 2024-10-30 09:17:19.596315 INFO::Creating boxplot for categorical data, diagnosis vs F52
## 2024-10-30 09:17:19.709395 INFO::Creating boxplot for categorical data, diagnosis vs F53
## 2024-10-30 09:17:19.832186 INFO::Creating boxplot for categorical data, diagnosis vs F844
## 2024-10-30 09:17:19.952003 INFO::Creating boxplot for categorical data, diagnosis vs F31
## 2024-10-30 09:17:20.065115 INFO::Creating boxplot for categorical data, diagnosis vs F795
## 2024-10-30 09:17:20.178115 INFO::Creating boxplot for categorical data, diagnosis vs F766
## 2024-10-30 09:17:20.303668 INFO::Creating boxplot for categorical data, diagnosis vs F342
## 2024-10-30 09:17:20.418125 INFO::Creating boxplot for categorical data, diagnosis vs F408
## 2024-10-30 09:17:20.531513 INFO::Creating boxplot for categorical data, diagnosis vs F282
## 2024-10-30 09:17:20.641469 INFO::Creating boxplot for categorical data, diagnosis vs F508
## 2024-10-30 09:17:20.769816 INFO::Creating boxplot for categorical data, diagnosis vs F805
## 2024-10-30 09:17:20.881392 INFO::Creating boxplot for categorical data, diagnosis vs F337
## 2024-10-30 09:17:20.999936 INFO::Creating boxplot for categorical data, diagnosis vs F820
## 2024-10-30 09:17:21.125997 INFO::Creating boxplot for categorical data, diagnosis vs F593
## 2024-10-30 09:17:21.239199 INFO::Creating boxplot for categorical data, diagnosis vs F701
## 2024-10-30 09:17:21.351426 INFO::Creating boxplot for categorical data, diagnosis vs F459
## 2024-10-30 09:17:21.461462 INFO::Creating boxplot for categorical data, diagnosis vs F305
## 2024-10-30 09:17:21.588691 INFO::Creating boxplot for categorical data, diagnosis vs F142
## 2024-10-30 09:17:21.700243 INFO::Creating boxplot for categorical data, diagnosis vs F534
## 2024-10-30 09:17:21.812932 INFO::Creating boxplot for categorical data, diagnosis vs F135
## 2024-10-30 09:17:21.939539 INFO::Creating boxplot for categorical data, diagnosis vs F702
## 2024-10-30 09:17:22.05164 INFO::Creating boxplot for categorical data, diagnosis vs F776
## 2024-10-30 09:17:22.163858 INFO::Creating boxplot for categorical data, diagnosis vs F295
## 2024-10-30 09:17:22.276877 INFO::Creating boxplot for categorical data, diagnosis vs F355
## 2024-10-30 09:17:22.405242 INFO::Creating boxplot for categorical data, diagnosis vs F797
## 2024-10-30 09:17:22.517901 INFO::Creating boxplot for categorical data, diagnosis vs F13
## 2024-10-30 09:17:22.629588 INFO::Creating boxplot for categorical data, diagnosis vs F356
## 2024-10-30 09:17:22.759472 INFO::Creating boxplot for categorical data, diagnosis vs F359
## 2024-10-30 09:17:22.869489 INFO::Creating boxplot for categorical data, diagnosis vs F121
## 2024-10-30 09:17:22.980922 INFO::Creating boxplot for categorical data, diagnosis vs F850
## 2024-10-30 09:17:23.092148 INFO::Creating boxplot for categorical data, diagnosis vs F899
## 2024-10-30 09:17:23.220168 INFO::Creating boxplot for categorical data, diagnosis vs F628
## 2024-10-30 09:17:23.330058 INFO::Creating boxplot for categorical data, diagnosis vs F843
## 2024-10-30 09:17:23.440445 INFO::Creating boxplot for categorical data, diagnosis vs F107
## 2024-10-30 09:17:23.566334 INFO::Creating boxplot for categorical data, diagnosis vs F287
## 2024-10-30 09:17:23.681248 INFO::Creating boxplot for categorical data, diagnosis vs F165
## 2024-10-30 09:17:23.791711 INFO::Creating boxplot for categorical data, diagnosis vs F557
## 2024-10-30 09:17:23.902489 INFO::Creating boxplot for categorical data, diagnosis vs F127
## 2024-10-30 09:17:24.033805 INFO::Creating boxplot for categorical data, diagnosis vs F299
## 2024-10-30 09:17:24.146053 INFO::Creating boxplot for categorical data, diagnosis vs F497
## 2024-10-30 09:17:24.259305 INFO::Creating boxplot for categorical data, diagnosis vs F711
## 2024-10-30 09:17:24.419339 INFO::Creating boxplot for categorical data, diagnosis vs F319
## 2024-10-30 09:17:24.531596 INFO::Creating boxplot for categorical data, diagnosis vs F271
## 2024-10-30 09:17:24.642821 INFO::Creating boxplot for categorical data, diagnosis vs F157
## 2024-10-30 09:17:24.757056 INFO::Creating boxplot for categorical data, diagnosis vs F560
## 2024-10-30 09:17:24.892076 INFO::Creating boxplot for categorical data, diagnosis vs F680
## 2024-10-30 09:17:25.004962 INFO::Creating boxplot for categorical data, diagnosis vs F580
## 2024-10-30 09:17:25.118835 INFO::Creating boxplot for categorical data, diagnosis vs F152
## 2024-10-30 09:17:25.232991 INFO::Creating boxplot for categorical data, diagnosis vs F12
## 2024-10-30 09:17:25.366055 INFO::Creating boxplot for categorical data, diagnosis vs F324
## 2024-10-30 09:17:25.481752 INFO::Creating boxplot for categorical data, diagnosis vs F893
## 2024-10-30 09:17:25.597129 INFO::Creating boxplot for categorical data, diagnosis vs F318
## 2024-10-30 09:17:25.732525 INFO::Creating boxplot for categorical data, diagnosis vs F784
## 2024-10-30 09:17:25.84539 INFO::Creating boxplot for categorical data, diagnosis vs F567
## 2024-10-30 09:17:25.957944 INFO::Creating boxplot for categorical data, diagnosis vs F457
## 2024-10-30 09:17:26.076908 INFO::Creating boxplot for categorical data, diagnosis vs F708
## 2024-10-30 09:17:26.210381 INFO::Creating boxplot for categorical data, diagnosis vs F669
## 2024-10-30 09:17:26.322107 INFO::Creating boxplot for categorical data, diagnosis vs F87
## 2024-10-30 09:17:27.875456 INFO::Plotting data for metadata number 2, antibiotics
## 2024-10-30 09:17:27.876756 INFO::Creating boxplot for categorical data, antibiotics vs F663
## 2024-10-30 09:17:27.995288 INFO::Creating boxplot for categorical data, antibiotics vs F838
## 2024-10-30 09:17:28.117581 INFO::Creating boxplot for categorical data, antibiotics vs F764
## 2024-10-30 09:17:28.251157 INFO::Creating boxplot for categorical data, antibiotics vs F880
## 2024-10-30 09:17:28.380214 INFO::Creating boxplot for categorical data, antibiotics vs F751
## 2024-10-30 09:17:28.500722 INFO::Creating boxplot for categorical data, antibiotics vs F288
## 2024-10-30 09:17:28.621011 INFO::Creating boxplot for categorical data, antibiotics vs F65
## 2024-10-30 09:17:28.764669 INFO::Creating boxplot for categorical data, antibiotics vs F742
## 2024-10-30 09:17:28.884036 INFO::Creating boxplot for categorical data, antibiotics vs F528
## 2024-10-30 09:17:29.003573 INFO::Creating boxplot for categorical data, antibiotics vs F790
## 2024-10-30 09:17:29.146155 INFO::Creating boxplot for categorical data, antibiotics vs F777
## 2024-10-30 09:17:29.265801 INFO::Creating boxplot for categorical data, antibiotics vs F178
## 2024-10-30 09:17:29.386339 INFO::Creating boxplot for categorical data, antibiotics vs F139
## 2024-10-30 09:17:29.50808 INFO::Creating boxplot for categorical data, antibiotics vs F202
## 2024-10-30 09:17:29.651105 INFO::Creating boxplot for categorical data, antibiotics vs F220
## 2024-10-30 09:17:29.770948 INFO::Creating boxplot for categorical data, antibiotics vs F397
## 2024-10-30 09:17:29.891914 INFO::Creating boxplot for categorical data, antibiotics vs F882
## 2024-10-30 09:17:30.032878 INFO::Creating boxplot for categorical data, antibiotics vs F446
## 2024-10-30 09:17:30.155319 INFO::Creating boxplot for categorical data, antibiotics vs F418
## 2024-10-30 09:17:30.275762 INFO::Creating boxplot for categorical data, antibiotics vs F133
## 2024-10-30 09:17:30.417433 INFO::Creating boxplot for categorical data, antibiotics vs F696
## 2024-10-30 09:17:30.539544 INFO::Creating boxplot for categorical data, antibiotics vs F548
## 2024-10-30 09:17:30.658924 INFO::Creating boxplot for categorical data, antibiotics vs F536
## 2024-10-30 09:17:30.789833 INFO::Creating boxplot for categorical data, antibiotics vs F194
## 2024-10-30 09:17:30.920939 INFO::Creating boxplot for categorical data, antibiotics vs F34
## 2024-10-30 09:17:31.039794 INFO::Creating boxplot for categorical data, antibiotics vs F153
## 2024-10-30 09:17:31.161812 INFO::Creating boxplot for categorical data, antibiotics vs F400
## 2024-10-30 09:17:31.303649 INFO::Creating boxplot for categorical data, antibiotics vs F794
## 2024-10-30 09:17:31.423492 INFO::Creating boxplot for categorical data, antibiotics vs F396
## 2024-10-30 09:17:31.544712 INFO::Creating boxplot for categorical data, antibiotics vs F182
## 2024-10-30 09:17:31.686345 INFO::Creating boxplot for categorical data, antibiotics vs F719
## 2024-10-30 09:17:31.807219 INFO::Creating boxplot for categorical data, antibiotics vs F109
## 2024-10-30 09:17:31.927001 INFO::Creating boxplot for categorical data, antibiotics vs F180
## 2024-10-30 09:17:32.069503 INFO::Creating boxplot for categorical data, antibiotics vs F552
## 2024-10-30 09:17:32.191578 INFO::Creating boxplot for categorical data, antibiotics vs F789
## 2024-10-30 09:17:32.312164 INFO::Creating boxplot for categorical data, antibiotics vs F893
## 2024-10-30 09:17:32.445251 INFO::Creating boxplot for categorical data, antibiotics vs F834
## 2024-10-30 09:17:32.579261 INFO::Creating boxplot for categorical data, antibiotics vs F889
## 2024-10-30 09:17:32.700607 INFO::Creating boxplot for categorical data, antibiotics vs F143
## 2024-10-30 09:17:32.821678 INFO::Creating boxplot for categorical data, antibiotics vs F224
## 2024-10-30 09:17:32.96317 INFO::Creating boxplot for categorical data, antibiotics vs F5
## 2024-10-30 09:17:33.082777 INFO::Creating boxplot for categorical data, antibiotics vs F873
## 2024-10-30 09:17:33.205932 INFO::Creating boxplot for categorical data, antibiotics vs F452
## 2024-10-30 09:17:33.348055 INFO::Creating boxplot for categorical data, antibiotics vs F681
## 2024-10-30 09:17:33.469379 INFO::Creating boxplot for categorical data, antibiotics vs F468
## 2024-10-30 09:17:33.590691 INFO::Creating boxplot for categorical data, antibiotics vs F731
## 2024-10-30 09:17:34.221818 INFO::Creating boxplot for categorical data, antibiotics vs F479
## 2024-10-30 09:17:34.33426 INFO::Creating boxplot for categorical data, antibiotics vs F520
## 2024-10-30 09:17:34.449862 INFO::Creating boxplot for categorical data, antibiotics vs F649
## 2024-10-30 09:17:34.56684 INFO::Creating boxplot for categorical data, antibiotics vs F259
## 2024-10-30 09:17:34.686632 INFO::Creating boxplot for categorical data, antibiotics vs F186
## 2024-10-30 09:17:34.799985 INFO::Creating boxplot for categorical data, antibiotics vs F312
## 2024-10-30 09:17:34.912833 INFO::Creating boxplot for categorical data, antibiotics vs F477
## 2024-10-30 09:17:35.033575 INFO::Creating boxplot for categorical data, antibiotics vs F4
## 2024-10-30 09:17:35.15215 INFO::Creating boxplot for categorical data, antibiotics vs F632
## 2024-10-30 09:17:35.266275 INFO::Creating boxplot for categorical data, antibiotics vs F31
## 2024-10-30 09:17:35.380993 INFO::Creating boxplot for categorical data, antibiotics vs F184
## 2024-10-30 09:17:35.504498 INFO::Creating boxplot for categorical data, antibiotics vs F7
## 2024-10-30 09:17:35.618194 INFO::Creating boxplot for categorical data, antibiotics vs F213
## 2024-10-30 09:17:35.731451 INFO::Creating boxplot for categorical data, antibiotics vs F691
## 2024-10-30 09:17:35.851435 INFO::Creating boxplot for categorical data, antibiotics vs F828
## 2024-10-30 09:17:35.963223 INFO::Creating boxplot for categorical data, antibiotics vs F831
## 2024-10-30 09:17:36.07644 INFO::Creating boxplot for categorical data, antibiotics vs F315
## 2024-10-30 09:17:36.198034 INFO::Creating boxplot for categorical data, antibiotics vs F159
## 2024-10-30 09:17:36.309092 INFO::Creating boxplot for categorical data, antibiotics vs F331
## 2024-10-30 09:17:36.423285 INFO::Creating boxplot for categorical data, antibiotics vs F757
## 2024-10-30 09:17:36.538407 INFO::Creating boxplot for categorical data, antibiotics vs F167
## 2024-10-30 09:17:36.659532 INFO::Creating boxplot for categorical data, antibiotics vs F85
## 2024-10-30 09:17:36.773112 INFO::Creating boxplot for categorical data, antibiotics vs F80
## 2024-10-30 09:17:36.886475 INFO::Creating boxplot for categorical data, antibiotics vs F105
## 2024-10-30 09:17:37.009073 INFO::Creating boxplot for categorical data, antibiotics vs F674
## 2024-10-30 09:17:37.126626 INFO::Creating boxplot for categorical data, antibiotics vs F50
## 2024-10-30 09:17:37.241571 INFO::Creating boxplot for categorical data, antibiotics vs F164
## 2024-10-30 09:17:37.35448 INFO::Creating boxplot for categorical data, antibiotics vs F840
## 2024-10-30 09:17:37.473871 INFO::Creating boxplot for categorical data, antibiotics vs F232
## 2024-10-30 09:17:37.588061 INFO::Creating boxplot for categorical data, antibiotics vs F872
## 2024-10-30 09:17:37.703057 INFO::Creating boxplot for categorical data, antibiotics vs F54
## 2024-10-30 09:17:37.825589 INFO::Creating boxplot for categorical data, antibiotics vs F365
## 2024-10-30 09:17:37.938382 INFO::Creating boxplot for categorical data, antibiotics vs F499
## 2024-10-30 09:17:38.052236 INFO::Creating boxplot for categorical data, antibiotics vs F510
## 2024-10-30 09:17:38.175907 INFO::Creating boxplot for categorical data, antibiotics vs F716
## 2024-10-30 09:17:38.290212 INFO::Creating boxplot for categorical data, antibiotics vs F454
## 2024-10-30 09:17:38.405031 INFO::Creating boxplot for categorical data, antibiotics vs F52
## 2024-10-30 09:17:38.52173 INFO::Creating boxplot for categorical data, antibiotics vs F273
## 2024-10-30 09:17:38.642692 INFO::Creating boxplot for categorical data, antibiotics vs F474
## 2024-10-30 09:17:38.755538 INFO::Creating boxplot for categorical data, antibiotics vs F267
## 2024-10-30 09:17:38.870921 INFO::Creating boxplot for categorical data, antibiotics vs F253
## 2024-10-30 09:17:38.992693 INFO::Creating boxplot for categorical data, antibiotics vs F247
## 2024-10-30 09:17:39.105979 INFO::Creating boxplot for categorical data, antibiotics vs F708
## 2024-10-30 09:17:39.22442 INFO::Creating boxplot for categorical data, antibiotics vs F438
## 2024-10-30 09:17:39.339015 INFO::Creating boxplot for categorical data, antibiotics vs F450
## 2024-10-30 09:17:39.458752 INFO::Creating boxplot for categorical data, antibiotics vs F666
## 2024-10-30 09:17:39.571821 INFO::Creating boxplot for categorical data, antibiotics vs F720
## 2024-10-30 09:17:39.685536 INFO::Creating boxplot for categorical data, antibiotics vs F48
## 2024-10-30 09:17:39.808334 INFO::Creating boxplot for categorical data, antibiotics vs F371
## 2024-10-30 09:17:39.922614 INFO::Creating boxplot for categorical data, antibiotics vs F423
## 2024-10-30 09:17:40.038765 INFO::Creating boxplot for categorical data, antibiotics vs F190
## 2024-10-30 09:17:40.159842 INFO::Creating boxplot for categorical data, antibiotics vs F351
## 2024-10-30 09:17:40.272982 INFO::Creating boxplot for categorical data, antibiotics vs F394
## 2024-10-30 09:17:40.385635 INFO::Creating boxplot for categorical data, antibiotics vs F581
## 2024-10-30 09:17:40.504061 INFO::Creating boxplot for categorical data, antibiotics vs F276
## 2024-10-30 09:17:40.627408 INFO::Creating boxplot for categorical data, antibiotics vs F608
## 2024-10-30 09:17:40.742112 INFO::Creating boxplot for categorical data, antibiotics vs F28
## 2024-10-30 09:17:40.858624 INFO::Creating boxplot for categorical data, antibiotics vs F805
## 2024-10-30 09:17:40.978473 INFO::Creating boxplot for categorical data, antibiotics vs F249
## 2024-10-30 09:17:41.091208 INFO::Creating boxplot for categorical data, antibiotics vs F776
## 2024-10-30 09:17:41.209288 INFO::Creating boxplot for categorical data, antibiotics vs F755
## 2024-10-30 09:17:41.331494 INFO::Creating boxplot for categorical data, antibiotics vs F68
## 2024-10-30 09:17:41.444463 INFO::Creating boxplot for categorical data, antibiotics vs F78
## 2024-10-30 09:17:41.557067 INFO::Creating boxplot for categorical data, antibiotics vs F381
## 2024-10-30 09:17:41.679209 INFO::Creating boxplot for categorical data, antibiotics vs F644
## 2024-10-30 09:17:41.792245 INFO::Creating boxplot for categorical data, antibiotics vs F358
## 2024-10-30 09:17:41.906213 INFO::Creating boxplot for categorical data, antibiotics vs F344
## 2024-10-30 09:17:42.020059 INFO::Creating boxplot for categorical data, antibiotics vs F209
## 2024-10-30 09:17:42.139853 INFO::Creating boxplot for categorical data, antibiotics vs F898
## 2024-10-30 09:17:42.253942 INFO::Creating boxplot for categorical data, antibiotics vs F51
## 2024-10-30 09:17:42.372237 INFO::Creating boxplot for categorical data, antibiotics vs F149
## 2024-10-30 09:17:42.520857 INFO::Creating boxplot for categorical data, antibiotics vs F108
## 2024-10-30 09:17:42.63675 INFO::Creating boxplot for categorical data, antibiotics vs F255
## 2024-10-30 09:17:42.751424 INFO::Creating boxplot for categorical data, antibiotics vs F823
## 2024-10-30 09:17:42.880211 INFO::Creating boxplot for categorical data, antibiotics vs F864
## 2024-10-30 09:17:42.997238 INFO::Creating boxplot for categorical data, antibiotics vs F214
## 2024-10-30 09:17:43.1111 INFO::Creating boxplot for categorical data, antibiotics vs F76
## 2024-10-30 09:17:43.228494 INFO::Creating boxplot for categorical data, antibiotics vs F575
## 2024-10-30 09:17:43.357553 INFO::Creating boxplot for categorical data, antibiotics vs F13
## 2024-10-30 09:17:43.47176 INFO::Creating boxplot for categorical data, antibiotics vs F389
## 2024-10-30 09:17:43.585672 INFO::Creating boxplot for categorical data, antibiotics vs F556
## 2024-10-30 09:17:43.714993 INFO::Creating boxplot for categorical data, antibiotics vs F49
## 2024-10-30 09:17:43.831162 INFO::Creating boxplot for categorical data, antibiotics vs F436
## 2024-10-30 09:17:43.946614 INFO::Creating boxplot for categorical data, antibiotics vs F378
## 2024-10-30 09:17:44.065747 INFO::Creating boxplot for categorical data, antibiotics vs F682
## 2024-10-30 09:17:44.199519 INFO::Creating boxplot for categorical data, antibiotics vs F47
## 2024-10-30 09:17:44.31654 INFO::Creating boxplot for categorical data, antibiotics vs F429
## 2024-10-30 09:17:44.433738 INFO::Creating boxplot for categorical data, antibiotics vs F588
## 2024-10-30 09:17:44.566512 INFO::Creating boxplot for categorical data, antibiotics vs F616
## 2024-10-30 09:17:44.686132 INFO::Creating boxplot for categorical data, antibiotics vs F323
## 2024-10-30 09:17:44.801935 INFO::Creating boxplot for categorical data, antibiotics vs F409
## 2024-10-30 09:17:44.919823 INFO::Creating boxplot for categorical data, antibiotics vs F326
## 2024-10-30 09:17:45.054116 INFO::Creating boxplot for categorical data, antibiotics vs F698
## 2024-10-30 09:17:45.173003 INFO::Creating boxplot for categorical data, antibiotics vs F567
## 2024-10-30 09:17:45.291461 INFO::Creating boxplot for categorical data, antibiotics vs F179
## 2024-10-30 09:17:45.426824 INFO::Creating boxplot for categorical data, antibiotics vs F787
## 2024-10-30 09:17:45.546971 INFO::Creating boxplot for categorical data, antibiotics vs F79
## 2024-10-30 09:17:45.663783 INFO::Creating boxplot for categorical data, antibiotics vs F335
## 2024-10-30 09:17:45.795877 INFO::Creating boxplot for categorical data, antibiotics vs F576
## 2024-10-30 09:17:45.916181 INFO::Creating boxplot for categorical data, antibiotics vs F667
## 2024-10-30 09:17:46.034043 INFO::Creating boxplot for categorical data, antibiotics vs F694
## 2024-10-30 09:17:46.152825 INFO::Creating boxplot for categorical data, antibiotics vs F297
## 2024-10-30 09:17:46.28537 INFO::Creating boxplot for categorical data, antibiotics vs F569
## 2024-10-30 09:17:46.404152 INFO::Creating boxplot for categorical data, antibiotics vs F138
## 2024-10-30 09:17:46.520556 INFO::Creating boxplot for categorical data, antibiotics vs F611
## 2024-10-30 09:17:46.652545 INFO::Creating boxplot for categorical data, antibiotics vs F810
## 2024-10-30 09:17:46.77096 INFO::Creating boxplot for categorical data, antibiotics vs F746
## 2024-10-30 09:17:46.887016 INFO::Creating boxplot for categorical data, antibiotics vs F23
## 2024-10-30 09:17:47.017613 INFO::Creating boxplot for categorical data, antibiotics vs F135
## 2024-10-30 09:17:47.138134 INFO::Creating boxplot for categorical data, antibiotics vs F411
## 2024-10-30 09:17:47.254309 INFO::Creating boxplot for categorical data, antibiotics vs F489
## 2024-10-30 09:17:47.369895 INFO::Creating boxplot for categorical data, antibiotics vs F492
## 2024-10-30 09:17:47.49982 INFO::Creating boxplot for categorical data, antibiotics vs F844
## 2024-10-30 09:17:47.614541 INFO::Creating boxplot for categorical data, antibiotics vs F586
## 2024-10-30 09:17:47.729841 INFO::Creating boxplot for categorical data, antibiotics vs F11
## 2024-10-30 09:17:47.861319 INFO::Creating boxplot for categorical data, antibiotics vs F900
## 2024-10-30 09:17:47.977915 INFO::Creating boxplot for categorical data, antibiotics vs F21
## 2024-10-30 09:17:48.095308 INFO::Creating boxplot for categorical data, antibiotics vs F736
## 2024-10-30 09:17:48.227312 INFO::Creating boxplot for categorical data, antibiotics vs F408
## 2024-10-30 09:17:48.348178 INFO::Creating boxplot for categorical data, antibiotics vs F788
## 2024-10-30 09:17:48.466865 INFO::Creating boxplot for categorical data, antibiotics vs F66
## 2024-10-30 09:17:48.583415 INFO::Creating boxplot for categorical data, antibiotics vs F493
## 2024-10-30 09:17:48.713444 INFO::Creating boxplot for categorical data, antibiotics vs F343
## 2024-10-30 09:17:48.827651 INFO::Creating boxplot for categorical data, antibiotics vs F352
## 2024-10-30 09:17:48.942945 INFO::Creating boxplot for categorical data, antibiotics vs F677
## 2024-10-30 09:17:49.074017 INFO::Creating boxplot for categorical data, antibiotics vs F816
## 2024-10-30 09:17:49.190375 INFO::Creating boxplot for categorical data, antibiotics vs F457
## 2024-10-30 09:17:49.306803 INFO::Creating boxplot for categorical data, antibiotics vs F330
## 2024-10-30 09:17:49.436037 INFO::Creating boxplot for categorical data, antibiotics vs F293
## 2024-10-30 09:17:49.551862 INFO::Creating boxplot for categorical data, antibiotics vs F725
## 2024-10-30 09:17:49.664797 INFO::Creating boxplot for categorical data, antibiotics vs F813
## 2024-10-30 09:17:49.78222 INFO::Creating boxplot for categorical data, antibiotics vs F295
## 2024-10-30 09:17:49.913766 INFO::Creating boxplot for categorical data, antibiotics vs F656
## 2024-10-30 09:17:50.029634 INFO::Creating boxplot for categorical data, antibiotics vs F669
## 2024-10-30 09:17:50.145831 INFO::Creating boxplot for categorical data, antibiotics vs F15
## 2024-10-30 09:17:50.275135 INFO::Creating boxplot for categorical data, antibiotics vs F419
## 2024-10-30 09:17:50.390129 INFO::Creating boxplot for categorical data, antibiotics vs F701
## 2024-10-30 09:17:50.507142 INFO::Creating boxplot for categorical data, antibiotics vs F176
## 2024-10-30 09:17:50.639122 INFO::Creating boxplot for categorical data, antibiotics vs F203
## 2024-10-30 09:17:50.754332 INFO::Creating boxplot for categorical data, antibiotics vs F501
## 2024-10-30 09:17:50.869188 INFO::Creating boxplot for categorical data, antibiotics vs F772
## 2024-10-30 09:17:51.027579 INFO::Creating boxplot for categorical data, antibiotics vs F488
## 2024-10-30 09:17:51.14595 INFO::Creating boxplot for categorical data, antibiotics vs F600
## 2024-10-30 09:17:51.264103 INFO::Creating boxplot for categorical data, antibiotics vs F768
## 2024-10-30 09:17:51.382421 INFO::Creating boxplot for categorical data, antibiotics vs F432
## 2024-10-30 09:17:51.514175 INFO::Creating boxplot for categorical data, antibiotics vs F26
## 2024-10-30 09:17:51.632507 INFO::Creating boxplot for categorical data, antibiotics vs F189
## 2024-10-30 09:17:51.746321 INFO::Creating boxplot for categorical data, antibiotics vs F200
## 2024-10-30 09:17:51.875355 INFO::Creating boxplot for categorical data, antibiotics vs F121
## 2024-10-30 09:17:51.993994 INFO::Creating boxplot for categorical data, antibiotics vs F624
## 2024-10-30 09:17:52.110921 INFO::Creating boxplot for categorical data, antibiotics vs F855
## 2024-10-30 09:17:52.227369 INFO::Creating boxplot for categorical data, antibiotics vs F380
## 2024-10-30 09:17:52.358378 INFO::Creating boxplot for categorical data, antibiotics vs F734
## 2024-10-30 09:17:52.479177 INFO::Creating boxplot for categorical data, antibiotics vs F16
## 2024-10-30 09:17:52.594483 INFO::Creating boxplot for categorical data, antibiotics vs F602
## 2024-10-30 09:17:52.725134 INFO::Creating boxplot for categorical data, antibiotics vs F210
## 2024-10-30 09:17:52.842709 INFO::Creating boxplot for categorical data, antibiotics vs F217
## 2024-10-30 09:17:52.959748 INFO::Creating boxplot for categorical data, antibiotics vs F640
## 2024-10-30 09:17:53.074261 INFO::Creating boxplot for categorical data, antibiotics vs F631
## 2024-10-30 09:17:53.207098 INFO::Creating boxplot for categorical data, antibiotics vs F32
## 2024-10-30 09:17:53.324044 INFO::Creating boxplot for categorical data, antibiotics vs F322
## 2024-10-30 09:17:53.439806 INFO::Creating boxplot for categorical data, antibiotics vs F476
## 2024-10-30 09:17:53.57025 INFO::Creating boxplot for categorical data, antibiotics vs F265
## 2024-10-30 09:17:53.689315 INFO::Creating boxplot for categorical data, antibiotics vs F283
## 2024-10-30 09:17:53.804846 INFO::Creating boxplot for categorical data, antibiotics vs F316
## 2024-10-30 09:17:53.934523 INFO::Creating boxplot for categorical data, antibiotics vs F465
## 2024-10-30 09:17:54.053921 INFO::Creating boxplot for categorical data, antibiotics vs F24
## 2024-10-30 09:17:54.172596 INFO::Creating boxplot for categorical data, antibiotics vs F38
## 2024-10-30 09:17:54.289667 INFO::Creating boxplot for categorical data, antibiotics vs F82
## 2024-10-30 09:17:54.424434 INFO::Creating boxplot for categorical data, antibiotics vs F86
## 2024-10-30 09:17:54.543676 INFO::Creating boxplot for categorical data, antibiotics vs F270
## 2024-10-30 09:17:54.658618 INFO::Creating boxplot for categorical data, antibiotics vs F485
## 2024-10-30 09:17:54.787844 INFO::Creating boxplot for categorical data, antibiotics vs F486
## 2024-10-30 09:17:54.907075 INFO::Creating boxplot for categorical data, antibiotics vs F399
## 2024-10-30 09:17:55.024 INFO::Creating boxplot for categorical data, antibiotics vs F573
## 2024-10-30 09:17:55.15255 INFO::Creating boxplot for categorical data, antibiotics vs F877
## 2024-10-30 09:17:55.272205 INFO::Creating boxplot for categorical data, antibiotics vs F709
## 2024-10-30 09:17:55.38908 INFO::Creating boxplot for categorical data, antibiotics vs F227
## 2024-10-30 09:17:55.506114 INFO::Creating boxplot for categorical data, antibiotics vs F553
## 2024-10-30 09:17:55.634801 INFO::Creating boxplot for categorical data, antibiotics vs F123
## 2024-10-30 09:17:55.75288 INFO::Creating boxplot for categorical data, antibiotics vs F118
## 2024-10-30 09:17:55.869347 INFO::Creating boxplot for categorical data, antibiotics vs F605
## 2024-10-30 09:17:56.000445 INFO::Creating boxplot for categorical data, antibiotics vs F619
## 2024-10-30 09:17:56.120502 INFO::Creating boxplot for categorical data, antibiotics vs F830
## 2024-10-30 09:17:56.236948 INFO::Creating boxplot for categorical data, antibiotics vs F837
## 2024-10-30 09:17:56.36758 INFO::Creating boxplot for categorical data, antibiotics vs F12
## 2024-10-30 09:17:56.490348 INFO::Creating boxplot for categorical data, antibiotics vs F623
## 2024-10-30 09:17:56.606765 INFO::Creating boxplot for categorical data, antibiotics vs F806
## 2024-10-30 09:17:56.722063 INFO::Creating boxplot for categorical data, antibiotics vs F353
## 2024-10-30 09:17:56.852292 INFO::Creating boxplot for categorical data, antibiotics vs F829
## 2024-10-30 09:17:56.969517 INFO::Creating boxplot for categorical data, antibiotics vs F289
## 2024-10-30 09:17:57.085327 INFO::Creating boxplot for categorical data, antibiotics vs F93
## 2024-10-30 09:17:57.215956 INFO::Creating boxplot for categorical data, antibiotics vs F379
## 2024-10-30 09:17:57.336838 INFO::Creating boxplot for categorical data, antibiotics vs F370
## 2024-10-30 09:17:57.452993 INFO::Creating boxplot for categorical data, antibiotics vs F360
## 2024-10-30 09:17:57.583256 INFO::Creating boxplot for categorical data, antibiotics vs F710
## 2024-10-30 09:17:57.701913 INFO::Creating boxplot for categorical data, antibiotics vs F388
## 2024-10-30 09:17:57.81773 INFO::Creating boxplot for categorical data, antibiotics vs F796
## 2024-10-30 09:17:57.933933 INFO::Creating boxplot for categorical data, antibiotics vs F174
## 2024-10-30 09:17:58.065523 INFO::Creating boxplot for categorical data, antibiotics vs F601
## 2024-10-30 09:17:58.182217 INFO::Creating boxplot for categorical data, antibiotics vs F775
## 2024-10-30 09:17:58.297644 INFO::Creating boxplot for categorical data, antibiotics vs F836
## 2024-10-30 09:17:58.434226 INFO::Creating boxplot for categorical data, antibiotics vs F192
## 2024-10-30 09:17:58.551342 INFO::Creating boxplot for categorical data, antibiotics vs F463
## 2024-10-30 09:17:58.666151 INFO::Creating boxplot for categorical data, antibiotics vs F57
## 2024-10-30 09:17:58.795673 INFO::Creating boxplot for categorical data, antibiotics vs F658
## 2024-10-30 09:17:58.913354 INFO::Creating boxplot for categorical data, antibiotics vs F596
## 2024-10-30 09:17:59.02701 INFO::Creating boxplot for categorical data, antibiotics vs F218
## 2024-10-30 09:17:59.155949 INFO::Creating boxplot for categorical data, antibiotics vs F104
## 2024-10-30 09:17:59.279131 INFO::Creating boxplot for categorical data, antibiotics vs F466
## 2024-10-30 09:17:59.39828 INFO::Creating boxplot for categorical data, antibiotics vs F737
## 2024-10-30 09:17:59.515774 INFO::Creating boxplot for categorical data, antibiotics vs F487
## 2024-10-30 09:17:59.676274 INFO::Creating boxplot for categorical data, antibiotics vs F369
## 2024-10-30 09:17:59.794848 INFO::Creating boxplot for categorical data, antibiotics vs F584
## 2024-10-30 09:17:59.911067 INFO::Creating boxplot for categorical data, antibiotics vs F166
## 2024-10-30 09:18:00.048828 INFO::Creating boxplot for categorical data, antibiotics vs F822
## 2024-10-30 09:18:00.17006 INFO::Creating boxplot for categorical data, antibiotics vs F416
## 2024-10-30 09:18:00.287562 INFO::Creating boxplot for categorical data, antibiotics vs F70
## 2024-10-30 09:18:00.408098 INFO::Creating boxplot for categorical data, antibiotics vs F243
## 2024-10-30 09:18:00.548326 INFO::Creating boxplot for categorical data, antibiotics vs F498
## 2024-10-30 09:18:00.667212 INFO::Creating boxplot for categorical data, antibiotics vs F272
## 2024-10-30 09:18:00.786337 INFO::Creating boxplot for categorical data, antibiotics vs F846
## 2024-10-30 09:18:00.920229 INFO::Creating boxplot for categorical data, antibiotics vs F881
## 2024-10-30 09:18:01.038476 INFO::Creating boxplot for categorical data, antibiotics vs F280
## 2024-10-30 09:18:01.156853 INFO::Creating boxplot for categorical data, antibiotics vs F761
## 2024-10-30 09:18:01.274559 INFO::Creating boxplot for categorical data, antibiotics vs F781
## 2024-10-30 09:18:01.416865 INFO::Creating boxplot for categorical data, antibiotics vs F697
## 2024-10-30 09:18:01.53738 INFO::Creating boxplot for categorical data, antibiotics vs F890
## 2024-10-30 09:18:01.655488 INFO::Creating boxplot for categorical data, antibiotics vs F197
## 2024-10-30 09:18:01.790836 INFO::Creating boxplot for categorical data, antibiotics vs F826
## 2024-10-30 09:18:01.910311 INFO::Creating boxplot for categorical data, antibiotics vs F641
## 2024-10-30 09:18:02.029546 INFO::Creating boxplot for categorical data, antibiotics vs F700
## 2024-10-30 09:18:02.161156 INFO::Creating boxplot for categorical data, antibiotics vs F531
## 2024-10-30 09:18:02.28308 INFO::Creating boxplot for categorical data, antibiotics vs F660
## 2024-10-30 09:18:02.405832 INFO::Creating boxplot for categorical data, antibiotics vs F257
## 2024-10-30 09:18:02.52356 INFO::Creating boxplot for categorical data, antibiotics vs F136
## 2024-10-30 09:18:02.66058 INFO::Creating boxplot for categorical data, antibiotics vs F875
## 2024-10-30 09:18:02.780076 INFO::Creating boxplot for categorical data, antibiotics vs F160
## 2024-10-30 09:18:02.898196 INFO::Creating boxplot for categorical data, antibiotics vs F782
## 2024-10-30 09:18:03.03542 INFO::Creating boxplot for categorical data, antibiotics vs F642
## 2024-10-30 09:18:03.155512 INFO::Creating boxplot for categorical data, antibiotics vs F730
## 2024-10-30 09:18:03.272556 INFO::Creating boxplot for categorical data, antibiotics vs F679
## 2024-10-30 09:18:03.388883 INFO::Creating boxplot for categorical data, antibiotics vs F713
## 2024-10-30 09:18:03.527146 INFO::Creating boxplot for categorical data, antibiotics vs F821
## 2024-10-30 09:18:03.646638 INFO::Creating boxplot for categorical data, antibiotics vs F443
## 2024-10-30 09:18:03.765414 INFO::Creating boxplot for categorical data, antibiotics vs F729
## 2024-10-30 09:18:03.902915 INFO::Creating boxplot for categorical data, antibiotics vs F25
## 2024-10-30 09:18:04.021897 INFO::Creating boxplot for categorical data, antibiotics vs F338
## 2024-10-30 09:18:04.141951 INFO::Creating boxplot for categorical data, antibiotics vs F647
## 2024-10-30 09:18:04.280181 INFO::Creating boxplot for categorical data, antibiotics vs F817
## 2024-10-30 09:18:04.400164 INFO::Creating boxplot for categorical data, antibiotics vs F535
## 2024-10-30 09:18:04.521709 INFO::Creating boxplot for categorical data, antibiotics vs F634
## 2024-10-30 09:18:04.640542 INFO::Creating boxplot for categorical data, antibiotics vs F533
## 2024-10-30 09:18:04.776865 INFO::Creating boxplot for categorical data, antibiotics vs F808
## 2024-10-30 09:18:04.896669 INFO::Creating boxplot for categorical data, antibiotics vs F571
## 2024-10-30 09:18:05.014549 INFO::Creating boxplot for categorical data, antibiotics vs F529
## 2024-10-30 09:18:05.154544 INFO::Creating boxplot for categorical data, antibiotics vs F827
## 2024-10-30 09:18:05.272883 INFO::Creating boxplot for categorical data, antibiotics vs F107
## 2024-10-30 09:18:05.389553 INFO::Creating boxplot for categorical data, antibiotics vs F515
## 2024-10-30 09:18:05.529632 INFO::Creating boxplot for categorical data, antibiotics vs F305
## 2024-10-30 09:18:05.649838 INFO::Creating boxplot for categorical data, antibiotics vs F662
## 2024-10-30 09:18:05.7672 INFO::Creating boxplot for categorical data, antibiotics vs F310
## 2024-10-30 09:18:05.896831 INFO::Creating boxplot for categorical data, antibiotics vs F430
## 2024-10-30 09:18:06.023606 INFO::Creating boxplot for categorical data, antibiotics vs F173
## 2024-10-30 09:18:06.142696 INFO::Creating boxplot for categorical data, antibiotics vs F820
## 2024-10-30 09:18:06.261053 INFO::Creating boxplot for categorical data, antibiotics vs F743
## 2024-10-30 09:18:06.399961 INFO::Creating boxplot for categorical data, antibiotics vs F63
## 2024-10-30 09:18:06.524947 INFO::Creating boxplot for categorical data, antibiotics vs F215
## 2024-10-30 09:18:06.641972 INFO::Creating boxplot for categorical data, antibiotics vs F216
## 2024-10-30 09:18:06.778933 INFO::Creating boxplot for categorical data, antibiotics vs F245
## 2024-10-30 09:18:06.89928 INFO::Creating boxplot for categorical data, antibiotics vs F862
## 2024-10-30 09:18:07.015874 INFO::Creating boxplot for categorical data, antibiotics vs F541
## 2024-10-30 09:18:07.154167 INFO::Creating boxplot for categorical data, antibiotics vs F558
## 2024-10-30 09:18:07.274244 INFO::Creating boxplot for categorical data, antibiotics vs F633
## 2024-10-30 09:18:07.391907 INFO::Creating boxplot for categorical data, antibiotics vs F94
## 2024-10-30 09:18:07.509483 INFO::Creating boxplot for categorical data, antibiotics vs F574
## 2024-10-30 09:18:07.646091 INFO::Creating boxplot for categorical data, antibiotics vs F238
## 2024-10-30 09:18:07.766249 INFO::Creating boxplot for categorical data, antibiotics vs F815
## 2024-10-30 09:18:07.884307 INFO::Creating boxplot for categorical data, antibiotics vs F587
## 2024-10-30 09:18:08.019568 INFO::Creating boxplot for categorical data, antibiotics vs F464
## 2024-10-30 09:18:08.14244 INFO::Creating boxplot for categorical data, antibiotics vs F590
## 2024-10-30 09:18:08.260159 INFO::Creating boxplot for categorical data, antibiotics vs F124
## 2024-10-30 09:18:08.429009 INFO::Creating boxplot for categorical data, antibiotics vs F664
## 2024-10-30 09:18:08.551422 INFO::Creating boxplot for categorical data, antibiotics vs F100
## 2024-10-30 09:18:08.67591 INFO::Creating boxplot for categorical data, antibiotics vs F744
## 2024-10-30 09:18:08.810003 INFO::Creating boxplot for categorical data, antibiotics vs F444
## 2024-10-30 09:18:08.942096 INFO::Creating boxplot for categorical data, antibiotics vs F597
## 2024-10-30 09:18:09.066316 INFO::Creating boxplot for categorical data, antibiotics vs F650
## 2024-10-30 09:18:09.188981 INFO::Creating boxplot for categorical data, antibiotics vs F147
## 2024-10-30 09:18:09.331374 INFO::Creating boxplot for categorical data, antibiotics vs F363
## 2024-10-30 09:18:09.456642 INFO::Creating boxplot for categorical data, antibiotics vs F521
## 2024-10-30 09:18:09.579709 INFO::Creating boxplot for categorical data, antibiotics vs F412
## 2024-10-30 09:18:09.713533 INFO::Creating boxplot for categorical data, antibiotics vs F279
## 2024-10-30 09:18:09.839139 INFO::Creating boxplot for categorical data, antibiotics vs F225
## 2024-10-30 09:18:09.961604 INFO::Creating boxplot for categorical data, antibiotics vs F10
## 2024-10-30 09:18:10.085216 INFO::Creating boxplot for categorical data, antibiotics vs F481
## 2024-10-30 09:18:10.220911 INFO::Creating boxplot for categorical data, antibiotics vs F861
## 2024-10-30 09:18:10.340044 INFO::Creating boxplot for categorical data, antibiotics vs F888
## 2024-10-30 09:18:10.461705 INFO::Creating boxplot for categorical data, antibiotics vs F156
## 2024-10-30 09:18:10.600899 INFO::Creating boxplot for categorical data, antibiotics vs F857
## 2024-10-30 09:18:10.722321 INFO::Creating boxplot for categorical data, antibiotics vs F509
## 2024-10-30 09:18:10.84174 INFO::Creating boxplot for categorical data, antibiotics vs F244
## 2024-10-30 09:18:10.963674 INFO::Creating boxplot for categorical data, antibiotics vs F514
## 2024-10-30 09:18:11.100116 INFO::Creating boxplot for categorical data, antibiotics vs F196
## 2024-10-30 09:18:11.221174 INFO::Creating boxplot for categorical data, antibiotics vs F304
## 2024-10-30 09:18:11.34268 INFO::Creating boxplot for categorical data, antibiotics vs F833
## 2024-10-30 09:18:11.48092 INFO::Creating boxplot for categorical data, antibiotics vs F294
## 2024-10-30 09:18:11.600365 INFO::Creating boxplot for categorical data, antibiotics vs F550
## 2024-10-30 09:18:11.718755 INFO::Creating boxplot for categorical data, antibiotics vs F869
## 2024-10-30 09:18:11.848844 INFO::Creating boxplot for categorical data, antibiotics vs F364
## 2024-10-30 09:18:11.974582 INFO::Creating boxplot for categorical data, antibiotics vs F583
## 2024-10-30 09:18:12.093813 INFO::Creating boxplot for categorical data, antibiotics vs F441
## 2024-10-30 09:18:12.215936 INFO::Creating boxplot for categorical data, antibiotics vs F595
## 2024-10-30 09:18:12.352675 INFO::Creating boxplot for categorical data, antibiotics vs F35
## 2024-10-30 09:18:12.474173 INFO::Creating boxplot for categorical data, antibiotics vs F630
## 2024-10-30 09:18:12.595733 INFO::Creating boxplot for categorical data, antibiotics vs F401
## 2024-10-30 09:18:12.733887 INFO::Creating boxplot for categorical data, antibiotics vs F287
## 2024-10-30 09:18:12.853282 INFO::Creating boxplot for categorical data, antibiotics vs F250
## 2024-10-30 09:18:12.971803 INFO::Creating boxplot for categorical data, antibiotics vs F239
## 2024-10-30 09:18:13.100591 INFO::Creating boxplot for categorical data, antibiotics vs F88
## 2024-10-30 09:18:13.22803 INFO::Creating boxplot for categorical data, antibiotics vs F752
## 2024-10-30 09:18:13.346842 INFO::Creating boxplot for categorical data, antibiotics vs F539
## 2024-10-30 09:18:13.464758 INFO::Creating boxplot for categorical data, antibiotics vs F69
## 2024-10-30 09:18:13.601244 INFO::Creating boxplot for categorical data, antibiotics vs F126
## 2024-10-30 09:18:13.72052 INFO::Creating boxplot for categorical data, antibiotics vs F362
## 2024-10-30 09:18:13.840997 INFO::Creating boxplot for categorical data, antibiotics vs F753
## 2024-10-30 09:18:13.976469 INFO::Creating boxplot for categorical data, antibiotics vs F469
## 2024-10-30 09:18:14.099668 INFO::Creating boxplot for categorical data, antibiotics vs F14
## 2024-10-30 09:18:14.219822 INFO::Creating boxplot for categorical data, antibiotics vs F803
## 2024-10-30 09:18:14.353219 INFO::Creating boxplot for categorical data, antibiotics vs F814
## 2024-10-30 09:18:14.478567 INFO::Creating boxplot for categorical data, antibiotics vs F449
## 2024-10-30 09:18:14.599526 INFO::Creating boxplot for categorical data, antibiotics vs F494
## 2024-10-30 09:18:14.717757 INFO::Creating boxplot for categorical data, antibiotics vs F439
## 2024-10-30 09:18:14.854177 INFO::Creating boxplot for categorical data, antibiotics vs F686
## 2024-10-30 09:18:14.973974 INFO::Creating boxplot for categorical data, antibiotics vs F591
## 2024-10-30 09:18:15.094033 INFO::Creating boxplot for categorical data, antibiotics vs F735
## 2024-10-30 09:18:15.229531 INFO::Creating boxplot for categorical data, antibiotics vs F111
## 2024-10-30 09:18:15.348432 INFO::Creating boxplot for categorical data, antibiotics vs F346
## 2024-10-30 09:18:15.469168 INFO::Creating boxplot for categorical data, antibiotics vs F29
## 2024-10-30 09:18:15.606395 INFO::Creating boxplot for categorical data, antibiotics vs F376
## 2024-10-30 09:18:15.725638 INFO::Creating boxplot for categorical data, antibiotics vs F414
## 2024-10-30 09:18:15.8446 INFO::Creating boxplot for categorical data, antibiotics vs F555
## 2024-10-30 09:18:15.977093 INFO::Creating boxplot for categorical data, antibiotics vs F517
## 2024-10-30 09:18:16.100569 INFO::Creating boxplot for categorical data, antibiotics vs F544
## 2024-10-30 09:18:16.221032 INFO::Creating boxplot for categorical data, antibiotics vs F339
## 2024-10-30 09:18:16.340381 INFO::Creating boxplot for categorical data, antibiotics vs F689
## 2024-10-30 09:18:16.480595 INFO::Creating boxplot for categorical data, antibiotics vs F391
## 2024-10-30 09:18:16.599811 INFO::Creating boxplot for categorical data, antibiotics vs F502
## 2024-10-30 09:18:16.72129 INFO::Creating boxplot for categorical data, antibiotics vs F298
## 2024-10-30 09:18:16.858614 INFO::Creating boxplot for categorical data, antibiotics vs F337
## 2024-10-30 09:18:16.977842 INFO::Creating boxplot for categorical data, antibiotics vs F773
## 2024-10-30 09:18:17.096591 INFO::Creating boxplot for categorical data, antibiotics vs F592
## 2024-10-30 09:18:17.263171 INFO::Creating boxplot for categorical data, antibiotics vs F307
## 2024-10-30 09:18:17.382361 INFO::Creating boxplot for categorical data, antibiotics vs F115
## 2024-10-30 09:18:17.502878 INFO::Creating boxplot for categorical data, antibiotics vs F739
## 2024-10-30 09:18:17.637248 INFO::Creating boxplot for categorical data, antibiotics vs F433
## 2024-10-30 09:18:17.77263 INFO::Creating boxplot for categorical data, antibiotics vs F384
## 2024-10-30 09:18:17.895313 INFO::Creating boxplot for categorical data, antibiotics vs F750
## 2024-10-30 09:18:18.020456 INFO::Creating boxplot for categorical data, antibiotics vs F762
## 2024-10-30 09:18:18.169594 INFO::Creating boxplot for categorical data, antibiotics vs F277
## 2024-10-30 09:18:18.289996 INFO::Creating boxplot for categorical data, antibiotics vs F871
## 2024-10-30 09:18:18.413193 INFO::Creating boxplot for categorical data, antibiotics vs F839
## 2024-10-30 09:18:18.554897 INFO::Creating boxplot for categorical data, antibiotics vs F127
## 2024-10-30 09:18:18.683135 INFO::Creating boxplot for categorical data, antibiotics vs F554
## 2024-10-30 09:18:18.801872 INFO::Creating boxplot for categorical data, antibiotics vs F676
## 2024-10-30 09:18:18.921542 INFO::Creating boxplot for categorical data, antibiotics vs F568
## 2024-10-30 09:18:19.064029 INFO::Creating boxplot for categorical data, antibiotics vs F137
## 2024-10-30 09:18:19.182921 INFO::Creating boxplot for categorical data, antibiotics vs F131
## 2024-10-30 09:18:19.303685 INFO::Creating boxplot for categorical data, antibiotics vs F60
## 2024-10-30 09:18:19.445334 INFO::Creating boxplot for categorical data, antibiotics vs F98
## 2024-10-30 09:18:19.569314 INFO::Creating boxplot for categorical data, antibiotics vs F672
## 2024-10-30 09:18:19.692886 INFO::Creating boxplot for categorical data, antibiotics vs F530
## 2024-10-30 09:18:19.815834 INFO::Creating boxplot for categorical data, antibiotics vs F809
## 2024-10-30 09:18:19.959671 INFO::Creating boxplot for categorical data, antibiotics vs F894
## 2024-10-30 09:18:20.081184 INFO::Creating boxplot for categorical data, antibiotics vs F22
## 2024-10-30 09:18:20.204739 INFO::Creating boxplot for categorical data, antibiotics vs F818
## 2024-10-30 09:18:20.348714 INFO::Creating boxplot for categorical data, antibiotics vs F559
## 2024-10-30 09:18:20.469634 INFO::Creating boxplot for categorical data, antibiotics vs F741
## 2024-10-30 09:18:20.59055 INFO::Creating boxplot for categorical data, antibiotics vs F398
## 2024-10-30 09:18:20.725219 INFO::Creating boxplot for categorical data, antibiotics vs F357
## 2024-10-30 09:18:20.857219 INFO::Creating boxplot for categorical data, antibiotics vs F119
## 2024-10-30 09:18:20.976802 INFO::Creating boxplot for categorical data, antibiotics vs F426
## 2024-10-30 09:18:21.098433 INFO::Creating boxplot for categorical data, antibiotics vs F204
## 2024-10-30 09:18:21.241141 INFO::Creating boxplot for categorical data, antibiotics vs F851
## 2024-10-30 09:18:21.359814 INFO::Creating boxplot for categorical data, antibiotics vs F657
## 2024-10-30 09:18:21.479232 INFO::Creating boxplot for categorical data, antibiotics vs F801
## 2024-10-30 09:18:21.621426 INFO::Creating boxplot for categorical data, antibiotics vs F754
## 2024-10-30 09:18:21.742476 INFO::Creating boxplot for categorical data, antibiotics vs F859
## 2024-10-30 09:18:21.861589 INFO::Creating boxplot for categorical data, antibiotics vs F480
## 2024-10-30 09:18:21.993881 INFO::Creating boxplot for categorical data, antibiotics vs F507
## 2024-10-30 09:18:22.125315 INFO::Creating boxplot for categorical data, antibiotics vs F207
## 2024-10-30 09:18:23.745792 INFO::Plotting data for metadata number 3, age
## 2024-10-30 09:18:23.746991 INFO::Creating scatter plot for continuous data, age vs F340
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:23.907452 INFO::Creating scatter plot for continuous data, age vs F603
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:24.110018 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()`).
## 2024-10-30 09:18:24.236583 INFO::Creating scatter plot for continuous data, age vs F181
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:24.354507 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()`).
## 2024-10-30 09:18:24.509412 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()`).
## 2024-10-30 09:18:24.637477 INFO::Creating scatter plot for continuous data, age vs F743
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:24.755874 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()`).
## 2024-10-30 09:18:24.907458 INFO::Creating scatter plot for continuous data, age vs F436
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:25.023823 INFO::Creating scatter plot for continuous data, age vs F219
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:25.143617 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()`).
## 2024-10-30 09:18:25.296075 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()`).
## 2024-10-30 09:18:25.422849 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()`).
## 2024-10-30 09:18:25.572167 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()`).
## 2024-10-30 09:18:25.707133 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()`).
## 2024-10-30 09:18:25.833377 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()`).
## 2024-10-30 09:18:25.983248 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()`).
## 2024-10-30 09:18:26.110407 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()`).
## 2024-10-30 09:18:26.240416 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()`).
## 2024-10-30 09:18:26.884824 INFO::Creating scatter plot for continuous data, age vs F174
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:26.995033 INFO::Creating scatter plot for continuous data, age vs F17
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:27.107073 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()`).
## 2024-10-30 09:18:27.237636 INFO::Creating scatter plot for continuous data, age vs F835
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:27.348539 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()`).
## 2024-10-30 09:18:27.467737 INFO::Creating scatter plot for continuous data, age vs F383
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:27.584738 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()`).
## 2024-10-30 09:18:27.707724 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()`).
## 2024-10-30 09:18:27.828386 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()`).
## 2024-10-30 09:18:27.95463 INFO::Creating scatter plot for continuous data, age vs F528
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:28.064841 INFO::Creating scatter plot for continuous data, age vs F13
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:28.176372 INFO::Creating scatter plot for continuous data, age vs F36
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:28.294813 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()`).
## 2024-10-30 09:18:28.415861 INFO::Creating scatter plot for continuous data, age vs F404
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:28.526688 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()`).
## 2024-10-30 09:18:28.653784 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()`).
## 2024-10-30 09:18:28.773461 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()`).
## 2024-10-30 09:18:28.891334 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()`).
## 2024-10-30 09:18:29.01688 INFO::Creating scatter plot for continuous data, age vs F97
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:29.126359 INFO::Creating scatter plot for continuous data, age vs F849
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:29.237127 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()`).
## 2024-10-30 09:18:29.365281 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()`).
## 2024-10-30 09:18:29.486555 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()`).
## 2024-10-30 09:18:29.606436 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()`).
## 2024-10-30 09:18:29.74134 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()`).
## 2024-10-30 09:18:29.859551 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()`).
## 2024-10-30 09:18:29.980393 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()`).
## 2024-10-30 09:18:30.109782 INFO::Creating scatter plot for continuous data, age vs F496
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:30.22014 INFO::Creating scatter plot for continuous data, age vs F386
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:30.330912 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()`).
## 2024-10-30 09:18:30.460497 INFO::Creating scatter plot for continuous data, age vs F704
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:30.572018 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()`).
## 2024-10-30 09:18:30.69018 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()`).
## 2024-10-30 09:18:30.818692 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()`).
## 2024-10-30 09:18:30.935927 INFO::Creating scatter plot for continuous data, age vs F481
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:31.046831 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()`).
## 2024-10-30 09:18:31.174603 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()`).
## 2024-10-30 09:18:31.292731 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()`).
## 2024-10-30 09:18:31.413152 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()`).
## 2024-10-30 09:18:31.540306 INFO::Creating scatter plot for continuous data, age vs F82
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:31.649777 INFO::Creating scatter plot for continuous data, age vs F7
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:31.766102 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()`).
## 2024-10-30 09:18:31.893042 INFO::Creating scatter plot for continuous data, age vs F593
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:32.003824 INFO::Creating scatter plot for continuous data, age vs F733
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:32.114476 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()`).
## 2024-10-30 09:18:32.243174 INFO::Creating scatter plot for continuous data, age vs F410
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:32.354736 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()`).
## 2024-10-30 09:18:32.477139 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()`).
## 2024-10-30 09:18:32.60388 INFO::Creating scatter plot for continuous data, age vs F856
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:32.714354 INFO::Creating scatter plot for continuous data, age vs F680
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:32.826991 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()`).
## 2024-10-30 09:18:32.953219 INFO::Creating scatter plot for continuous data, age vs F860
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:33.062367 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()`).
## 2024-10-30 09:18:33.181841 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()`).
## 2024-10-30 09:18:33.309413 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()`).
## 2024-10-30 09:18:33.427845 INFO::Creating scatter plot for continuous data, age vs F899
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:33.539474 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()`).
## 2024-10-30 09:18:33.665672 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()`).
## 2024-10-30 09:18:33.785352 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()`).
## 2024-10-30 09:18:33.907202 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()`).
## 2024-10-30 09:18:34.03323 INFO::Creating scatter plot for continuous data, age vs F345
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:34.144888 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()`).
## 2024-10-30 09:18:34.298082 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()`).
## 2024-10-30 09:18:34.42219 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()`).
## 2024-10-30 09:18:34.542149 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()`).
## 2024-10-30 09:18:34.678303 INFO::Creating scatter plot for continuous data, age vs F752
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:34.794761 INFO::Creating scatter plot for continuous data, age vs F848
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:34.907742 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()`).
## 2024-10-30 09:18:35.028859 INFO::Creating scatter plot for continuous data, age vs F751
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:35.158262 INFO::Creating scatter plot for continuous data, age vs F15
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:35.270946 INFO::Creating scatter plot for continuous data, age vs F521
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:35.383573 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()`).
## 2024-10-30 09:18:35.519824 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()`).
## 2024-10-30 09:18:35.639228 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()`).
## 2024-10-30 09:18:35.759324 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()`).
## 2024-10-30 09:18:35.895861 INFO::Creating scatter plot for continuous data, age vs F241
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:36.009675 INFO::Creating scatter plot for continuous data, age vs F582
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:36.123766 INFO::Creating scatter plot for continuous data, age vs F822
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:36.251178 INFO::Creating scatter plot for continuous data, age vs F748
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:36.364793 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()`).
## 2024-10-30 09:18:36.486318 INFO::Creating scatter plot for continuous data, age vs F16
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:36.61525 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()`).
## 2024-10-30 09:18:36.736388 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()`).
## 2024-10-30 09:18:36.859412 INFO::Creating scatter plot for continuous data, age vs F663
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:36.986917 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()`).
## 2024-10-30 09:18:37.107929 INFO::Creating scatter plot for continuous data, age vs F865
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:37.221838 INFO::Creating scatter plot for continuous data, age vs F421
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:37.349521 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()`).
## 2024-10-30 09:18:37.470301 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()`).
## 2024-10-30 09:18:37.590285 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()`).
## 2024-10-30 09:18:37.726514 INFO::Creating scatter plot for continuous data, age vs F123
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:37.83843 INFO::Creating scatter plot for continuous data, age vs F566
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:37.950723 INFO::Creating scatter plot for continuous data, age vs F370
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:38.079871 INFO::Creating scatter plot for continuous data, age vs F65
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:38.193108 INFO::Creating scatter plot for continuous data, age vs F119
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:38.304345 INFO::Creating scatter plot for continuous data, age vs F263
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:38.434958 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()`).
## 2024-10-30 09:18:38.55621 INFO::Creating scatter plot for continuous data, age vs F628
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:38.667333 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()`).
## 2024-10-30 09:18:38.80459 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()`).
## 2024-10-30 09:18:38.925805 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()`).
## 2024-10-30 09:18:39.045825 INFO::Creating scatter plot for continuous data, age vs F575
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:39.17375 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()`).
## 2024-10-30 09:18:39.293952 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()`).
## 2024-10-30 09:18:39.414902 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()`).
## 2024-10-30 09:18:39.552555 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()`).
## 2024-10-30 09:18:39.671571 INFO::Creating scatter plot for continuous data, age vs F504
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:39.783705 INFO::Creating scatter plot for continuous data, age vs F34
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:39.914503 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()`).
## 2024-10-30 09:18:40.034259 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()`).
## 2024-10-30 09:18:40.156266 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()`).
## 2024-10-30 09:18:40.291935 INFO::Creating scatter plot for continuous data, age vs F673
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:40.40504 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()`).
## 2024-10-30 09:18:40.534382 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()`).
## 2024-10-30 09:18:40.672645 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()`).
## 2024-10-30 09:18:40.791828 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()`).
## 2024-10-30 09:18:40.926436 INFO::Creating scatter plot for continuous data, age vs F40
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:41.041438 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()`).
## 2024-10-30 09:18:41.162526 INFO::Creating scatter plot for continuous data, age vs F643
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:41.290429 INFO::Creating scatter plot for continuous data, age vs F759
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:41.403718 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()`).
## 2024-10-30 09:18:41.524115 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()`).
## 2024-10-30 09:18:41.661296 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()`).
## 2024-10-30 09:18:41.781775 INFO::Creating scatter plot for continuous data, age vs F101
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:41.897664 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()`).
## 2024-10-30 09:18:42.06645 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()`).
## 2024-10-30 09:18:42.190725 INFO::Creating scatter plot for continuous data, age vs F95
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:42.303759 INFO::Creating scatter plot for continuous data, age vs F775
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:42.436099 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()`).
## 2024-10-30 09:18:42.558977 INFO::Creating scatter plot for continuous data, age vs F353
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:42.673597 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()`).
## 2024-10-30 09:18:42.810402 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()`).
## 2024-10-30 09:18:42.934357 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()`).
## 2024-10-30 09:18:43.055934 INFO::Creating scatter plot for continuous data, age vs F295
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:43.184 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()`).
## 2024-10-30 09:18:43.306833 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()`).
## 2024-10-30 09:18:43.429155 INFO::Creating scatter plot for continuous data, age vs F146
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:43.555954 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()`).
## 2024-10-30 09:18:43.679201 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()`).
## 2024-10-30 09:18:43.799924 INFO::Creating scatter plot for continuous data, age vs F443
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:43.932722 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()`).
## 2024-10-30 09:18:44.056755 INFO::Creating scatter plot for continuous data, age vs F864
## `geom_smooth()` using formula = 'y ~ x'
## 2024-10-30 09:18:44.169878 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()`).
## 2024-10-30 09:18:44.306928 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()`).
## 2024-10-30 09:18:44.432589 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
## 2024-10-30 09:18:46.054207 INFO::Writing all prioritized metabolites to file: Macarron_output/prioritized_metabolites_all.csv
## 2024-10-30 09:18:46.059699 INFO::Writing characterizable prioritized metabolites to file: Macarron_output/prioritized_metabolites_characterizable.csv
## 2024-10-30 09:18:46.073995 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_1.11.0             SummarizedExperiment_1.35.5
##  [3] Biobase_2.67.0              GenomicRanges_1.57.2       
##  [5] GenomeInfoDb_1.41.2         IRanges_2.39.2             
##  [7] S4Vectors_0.43.2            BiocGenerics_0.53.0        
##  [9] MatrixGenerics_1.17.1       matrixStats_1.4.1          
## [11] BiocStyle_2.35.0           
## 
## 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_1.67.1  
##  [22] UCSC.utils_1.1.0        bit_4.5.0               xfun_0.48              
##  [25] zlibbioc_1.51.2         cachem_1.1.0            jsonlite_1.8.9         
##  [28] blob_1.2.4              DelayedArray_0.33.1     BiocParallel_1.41.0    
##  [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_1.7-1            splines_4.4.1          
##  [49] nnet_7.3-19             tidyselect_1.2.1        rstudioapi_0.17.1      
##  [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_3.0.2             KEGGREST_1.45.1        
##  [61] evaluate_1.0.1          foreign_0.8-87          survival_3.7-0         
##  [64] getopt_1.20.4           Biostrings_2.75.0       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_1.8.0             
##  [76] Hmisc_5.2-0             maketools_1.3.1         tools_4.4.1            
##  [79] robustbase_0.99-4-1     sys_3.4.3               data.table_1.16.2      
##  [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_1.69.0    colorspace_2.1-1        nlme_3.1-166           
##  [91] GenomeInfoDbData_1.2.13 htmlTable_2.4.3         Formula_1.2-5          
##  [94] cli_3.6.3               fansi_1.0.6             S4Arrays_1.5.11        
##  [97] dplyr_1.1.4             DEoptimR_1.1-3          gtable_0.3.6           
## [100] hash_2.2.6.3            logging_0.10-108        dynamicTreeCut_1.63-1  
## [103] sass_0.4.9              digest_0.6.37           SparseArray_1.5.45     
## [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_3.20.0            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.