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
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## Attaching package: 'MatrixGenerics'
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## Loading required package: GenomicRanges
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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)
## 2025-01-28 06:58:45.68351 INFO::Creating output folder.
## 2025-01-28 06:58:45.693143 INFO::Writing function arguments to log file
## Samples with both abundances and metadata: 102
## 2025-01-28 06:58:46.108015 INFO::Summarized Experiment created.
## 2025-01-28 06:58:46.109009 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.
## 2025-01-28 06:58:49.131207 INFO::Distance matrix with 869 metabolic features created.
## Initiating module detection
## 2025-01-28 06:58:49.132181 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.
## 2025-01-28 06:58:50.529032 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"
## 2025-01-28 06:58:51.844923 INFO::Writing function arguments to log file
## 2025-01-28 06:58:51.848847 INFO::Verifying options selected are valid
## 2025-01-28 06:58:51.874145 INFO::Determining format of input files
## 2025-01-28 06:58:51.874905 INFO::Input format is data samples as columns and metadata samples as rows
## 2025-01-28 06:58:51.88555 INFO::Formula for fixed effects: expr ~  diagnosis + age + antibiotics
## 2025-01-28 06:58:51.886587 INFO::Filter data based on min abundance and min prevalence
## 2025-01-28 06:58:51.887056 INFO::Total samples in data: 102
## 2025-01-28 06:58:51.88751 INFO::Min samples required with min abundance for a feature not to be filtered: 0.000000
## 2025-01-28 06:58:51.895832 INFO::Total filtered features: 0
## 2025-01-28 06:58:51.896435 INFO::Filtered feature names from abundance and prevalence filtering:
## 2025-01-28 06:58:51.90893 INFO::Total filtered features with variance filtering: 0
## 2025-01-28 06:58:51.909621 INFO::Filtered feature names from variance filtering:
## 2025-01-28 06:58:51.910053 INFO::Running selected normalization method: NONE
## 2025-01-28 06:58:51.910535 INFO::Applying z-score to standardize continuous metadata
## 2025-01-28 06:58:51.92403 INFO::Running selected transform method: NONE
## 2025-01-28 06:58:51.924666 INFO::Running selected analysis method: LM
## 2025-01-28 06:58:51.928188 INFO::Fitting model to feature number 1, F1
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## 2025-01-28 06:58:52.298053 INFO::Fitting model to feature number 159, F165
## 2025-01-28 06:58:52.300417 INFO::Fitting model to feature number 160, F166
## 2025-01-28 06:58:52.302759 INFO::Fitting model to feature number 161, F167
## 2025-01-28 06:58:52.305105 INFO::Fitting model to feature number 162, F168
## 2025-01-28 06:58:52.307464 INFO::Fitting model to feature number 163, F169
## 2025-01-28 06:58:52.3098 INFO::Fitting model to feature number 164, F170
## 2025-01-28 06:58:52.312139 INFO::Fitting model to feature number 165, F171
## 2025-01-28 06:58:52.314461 INFO::Fitting model to feature number 166, F172
## 2025-01-28 06:58:52.316829 INFO::Fitting model to feature number 167, F173
## 2025-01-28 06:58:52.319166 INFO::Fitting model to feature number 168, F174
## 2025-01-28 06:58:52.321519 INFO::Fitting model to feature number 169, F175
## 2025-01-28 06:58:52.323897 INFO::Fitting model to feature number 170, F176
## 2025-01-28 06:58:52.326224 INFO::Fitting model to feature number 171, F177
## 2025-01-28 06:58:52.328551 INFO::Fitting model to feature number 172, F178
## 2025-01-28 06:58:52.330864 INFO::Fitting model to feature number 173, F179
## 2025-01-28 06:58:52.333244 INFO::Fitting model to feature number 174, F180
## 2025-01-28 06:58:52.335579 INFO::Fitting model to feature number 175, F181
## 2025-01-28 06:58:52.337906 INFO::Fitting model to feature number 176, F182
## 2025-01-28 06:58:52.340274 INFO::Fitting model to feature number 177, F183
## 2025-01-28 06:58:52.342631 INFO::Fitting model to feature number 178, F184
## 2025-01-28 06:58:52.344974 INFO::Fitting model to feature number 179, F185
## 2025-01-28 06:58:52.347394 INFO::Fitting model to feature number 180, F186
## 2025-01-28 06:58:52.349762 INFO::Fitting model to feature number 181, F187
## 2025-01-28 06:58:52.352127 INFO::Fitting model to feature number 182, F188
## 2025-01-28 06:58:52.354471 INFO::Fitting model to feature number 183, F189
## 2025-01-28 06:58:52.356885 INFO::Fitting model to feature number 184, F190
## 2025-01-28 06:58:52.359223 INFO::Fitting model to feature number 185, F191
## 2025-01-28 06:58:52.361577 INFO::Fitting model to feature number 186, F192
## 2025-01-28 06:58:52.36397 INFO::Fitting model to feature number 187, F193
## 2025-01-28 06:58:52.366353 INFO::Fitting model to feature number 188, F194
## 2025-01-28 06:58:52.368717 INFO::Fitting model to feature number 189, F195
## 2025-01-28 06:58:52.371063 INFO::Fitting model to feature number 190, F196
## 2025-01-28 06:58:52.373426 INFO::Fitting model to feature number 191, F197
## 2025-01-28 06:58:52.375792 INFO::Fitting model to feature number 192, F198
## 2025-01-28 06:58:52.392145 INFO::Fitting model to feature number 193, F199
## 2025-01-28 06:58:52.39493 INFO::Fitting model to feature number 194, F200
## 2025-01-28 06:58:52.397169 INFO::Fitting model to feature number 195, F201
## 2025-01-28 06:58:52.399344 INFO::Fitting model to feature number 196, F202
## 2025-01-28 06:58:52.40153 INFO::Fitting model to feature number 197, F203
## 2025-01-28 06:58:52.403762 INFO::Fitting model to feature number 198, F204
## 2025-01-28 06:58:52.405931 INFO::Fitting model to feature number 199, F206
## 2025-01-28 06:58:52.408149 INFO::Fitting model to feature number 200, F207
## 2025-01-28 06:58:52.410306 INFO::Fitting model to feature number 201, F208
## 2025-01-28 06:58:52.4125 INFO::Fitting model to feature number 202, F209
## 2025-01-28 06:58:52.414662 INFO::Fitting model to feature number 203, F210
## 2025-01-28 06:58:52.416856 INFO::Fitting model to feature number 204, F211
## 2025-01-28 06:58:52.419015 INFO::Fitting model to feature number 205, F212
## 2025-01-28 06:58:52.421213 INFO::Fitting model to feature number 206, F213
## 2025-01-28 06:58:52.42339 INFO::Fitting model to feature number 207, F214
## 2025-01-28 06:58:52.425534 INFO::Fitting model to feature number 208, F215
## 2025-01-28 06:58:52.427725 INFO::Fitting model to feature number 209, F216
## 2025-01-28 06:58:52.429878 INFO::Fitting model to feature number 210, F217
## 2025-01-28 06:58:52.43204 INFO::Fitting model to feature number 211, F218
## 2025-01-28 06:58:52.4342 INFO::Fitting model to feature number 212, F219
## 2025-01-28 06:58:52.436399 INFO::Fitting model to feature number 213, F220
## 2025-01-28 06:58:52.438579 INFO::Fitting model to feature number 214, F221
## 2025-01-28 06:58:52.440805 INFO::Fitting model to feature number 215, F222
## 2025-01-28 06:58:52.442953 INFO::Fitting model to feature number 216, F223
## 2025-01-28 06:58:52.445161 INFO::Fitting model to feature number 217, F224
## 2025-01-28 06:58:52.447326 INFO::Fitting model to feature number 218, F225
## 2025-01-28 06:58:52.449537 INFO::Fitting model to feature number 219, F226
## 2025-01-28 06:58:52.45173 INFO::Fitting model to feature number 220, F227
## 2025-01-28 06:58:52.453909 INFO::Fitting model to feature number 221, F228
## 2025-01-28 06:58:52.45609 INFO::Fitting model to feature number 222, F229
## 2025-01-28 06:58:52.458273 INFO::Fitting model to feature number 223, F230
## 2025-01-28 06:58:52.460527 INFO::Fitting model to feature number 224, F231
## 2025-01-28 06:58:52.462686 INFO::Fitting model to feature number 225, F232
## 2025-01-28 06:58:52.464903 INFO::Fitting model to feature number 226, F233
## 2025-01-28 06:58:52.467084 INFO::Fitting model to feature number 227, F234
## 2025-01-28 06:58:52.469283 INFO::Fitting model to feature number 228, F235
## 2025-01-28 06:58:52.471493 INFO::Fitting model to feature number 229, F236
## 2025-01-28 06:58:52.473687 INFO::Fitting model to feature number 230, F237
## 2025-01-28 06:58:52.475914 INFO::Fitting model to feature number 231, F238
## 2025-01-28 06:58:52.478076 INFO::Fitting model to feature number 232, F239
## 2025-01-28 06:58:52.480263 INFO::Fitting model to feature number 233, F240
## 2025-01-28 06:58:52.482431 INFO::Fitting model to feature number 234, F241
## 2025-01-28 06:58:52.484641 INFO::Fitting model to feature number 235, F242
## 2025-01-28 06:58:52.486809 INFO::Fitting model to feature number 236, F243
## 2025-01-28 06:58:52.489002 INFO::Fitting model to feature number 237, F244
## 2025-01-28 06:58:52.4912 INFO::Fitting model to feature number 238, F245
## 2025-01-28 06:58:52.493451 INFO::Fitting model to feature number 239, F246
## 2025-01-28 06:58:52.495649 INFO::Fitting model to feature number 240, F247
## 2025-01-28 06:58:52.497938 INFO::Fitting model to feature number 241, F248
## 2025-01-28 06:58:52.500171 INFO::Fitting model to feature number 242, F249
## 2025-01-28 06:58:52.502355 INFO::Fitting model to feature number 243, F250
## 2025-01-28 06:58:52.504584 INFO::Fitting model to feature number 244, F252
## 2025-01-28 06:58:52.506757 INFO::Fitting model to feature number 245, F253
## 2025-01-28 06:58:52.508986 INFO::Fitting model to feature number 246, F254
## 2025-01-28 06:58:52.511158 INFO::Fitting model to feature number 247, F255
## 2025-01-28 06:58:52.513392 INFO::Fitting model to feature number 248, F256
## 2025-01-28 06:58:52.515617 INFO::Fitting model to feature number 249, F257
## 2025-01-28 06:58:52.517765 INFO::Fitting model to feature number 250, F259
## 2025-01-28 06:58:52.519957 INFO::Fitting model to feature number 251, F260
## 2025-01-28 06:58:52.522133 INFO::Fitting model to feature number 252, F261
## 2025-01-28 06:58:52.524344 INFO::Fitting model to feature number 253, F262
## 2025-01-28 06:58:52.5265 INFO::Fitting model to feature number 254, F263
## 2025-01-28 06:58:52.528684 INFO::Fitting model to feature number 255, F264
## 2025-01-28 06:58:52.530837 INFO::Fitting model to feature number 256, F265
## 2025-01-28 06:58:52.533029 INFO::Fitting model to feature number 257, F266
## 2025-01-28 06:58:52.535214 INFO::Fitting model to feature number 258, F267
## 2025-01-28 06:58:52.537407 INFO::Fitting model to feature number 259, F269
## 2025-01-28 06:58:52.539715 INFO::Fitting model to feature number 260, F270
## 2025-01-28 06:58:52.541899 INFO::Fitting model to feature number 261, F271
## 2025-01-28 06:58:52.544128 INFO::Fitting model to feature number 262, F272
## 2025-01-28 06:58:52.546277 INFO::Fitting model to feature number 263, F273
## 2025-01-28 06:58:52.548485 INFO::Fitting model to feature number 264, F274
## 2025-01-28 06:58:52.550641 INFO::Fitting model to feature number 265, F276
## 2025-01-28 06:58:52.552856 INFO::Fitting model to feature number 266, F277
## 2025-01-28 06:58:52.55505 INFO::Fitting model to feature number 267, F278
## 2025-01-28 06:58:52.557288 INFO::Fitting model to feature number 268, F279
## 2025-01-28 06:58:52.5595 INFO::Fitting model to feature number 269, F280
## 2025-01-28 06:58:52.561722 INFO::Fitting model to feature number 270, F281
## 2025-01-28 06:58:52.563926 INFO::Fitting model to feature number 271, F282
## 2025-01-28 06:58:52.566101 INFO::Fitting model to feature number 272, F283
## 2025-01-28 06:58:52.568312 INFO::Fitting model to feature number 273, F284
## 2025-01-28 06:58:52.570475 INFO::Fitting model to feature number 274, F285
## 2025-01-28 06:58:52.572644 INFO::Fitting model to feature number 275, F286
## 2025-01-28 06:58:52.574804 INFO::Fitting model to feature number 276, F287
## 2025-01-28 06:58:52.577002 INFO::Fitting model to feature number 277, F288
## 2025-01-28 06:58:52.579157 INFO::Fitting model to feature number 278, F289
## 2025-01-28 06:58:52.581358 INFO::Fitting model to feature number 279, F290
## 2025-01-28 06:58:52.583568 INFO::Fitting model to feature number 280, F292
## 2025-01-28 06:58:52.585727 INFO::Fitting model to feature number 281, F293
## 2025-01-28 06:58:52.587928 INFO::Fitting model to feature number 282, F294
## 2025-01-28 06:58:52.590128 INFO::Fitting model to feature number 283, F295
## 2025-01-28 06:58:52.59238 INFO::Fitting model to feature number 284, F296
## 2025-01-28 06:58:52.594549 INFO::Fitting model to feature number 285, F297
## 2025-01-28 06:58:52.59672 INFO::Fitting model to feature number 286, F298
## 2025-01-28 06:58:52.59891 INFO::Fitting model to feature number 287, F299
## 2025-01-28 06:58:52.601194 INFO::Fitting model to feature number 288, F300
## 2025-01-28 06:58:52.603417 INFO::Fitting model to feature number 289, F301
## 2025-01-28 06:58:52.605599 INFO::Fitting model to feature number 290, F302
## 2025-01-28 06:58:52.607804 INFO::Fitting model to feature number 291, F303
## 2025-01-28 06:58:52.609976 INFO::Fitting model to feature number 292, F304
## 2025-01-28 06:58:52.612193 INFO::Fitting model to feature number 293, F305
## 2025-01-28 06:58:52.614421 INFO::Fitting model to feature number 294, F306
## 2025-01-28 06:58:52.616702 INFO::Fitting model to feature number 295, F307
## 2025-01-28 06:58:52.618873 INFO::Fitting model to feature number 296, F308
## 2025-01-28 06:58:52.621061 INFO::Fitting model to feature number 297, F309
## 2025-01-28 06:58:52.623237 INFO::Fitting model to feature number 298, F310
## 2025-01-28 06:58:52.625459 INFO::Fitting model to feature number 299, F311
## 2025-01-28 06:58:52.627656 INFO::Fitting model to feature number 300, F312
## 2025-01-28 06:58:52.629817 INFO::Fitting model to feature number 301, F313
## 2025-01-28 06:58:52.632125 INFO::Fitting model to feature number 302, F315
## 2025-01-28 06:58:52.634321 INFO::Fitting model to feature number 303, F316
## 2025-01-28 06:58:52.636531 INFO::Fitting model to feature number 304, F317
## 2025-01-28 06:58:52.638755 INFO::Fitting model to feature number 305, F318
## 2025-01-28 06:58:52.641168 INFO::Fitting model to feature number 306, F319
## 2025-01-28 06:58:52.64342 INFO::Fitting model to feature number 307, F320
## 2025-01-28 06:58:52.645615 INFO::Fitting model to feature number 308, F321
## 2025-01-28 06:58:52.647837 INFO::Fitting model to feature number 309, F322
## 2025-01-28 06:58:52.650072 INFO::Fitting model to feature number 310, F323
## 2025-01-28 06:58:52.652305 INFO::Fitting model to feature number 311, F324
## 2025-01-28 06:58:52.654495 INFO::Fitting model to feature number 312, F325
## 2025-01-28 06:58:52.656717 INFO::Fitting model to feature number 313, F326
## 2025-01-28 06:58:52.658919 INFO::Fitting model to feature number 314, F327
## 2025-01-28 06:58:52.661209 INFO::Fitting model to feature number 315, F328
## 2025-01-28 06:58:52.663539 INFO::Fitting model to feature number 316, F329
## 2025-01-28 06:58:52.665726 INFO::Fitting model to feature number 317, F330
## 2025-01-28 06:58:52.667938 INFO::Fitting model to feature number 318, F331
## 2025-01-28 06:58:52.670131 INFO::Fitting model to feature number 319, F332
## 2025-01-28 06:58:52.672352 INFO::Fitting model to feature number 320, F333
## 2025-01-28 06:58:52.674546 INFO::Fitting model to feature number 321, F334
## 2025-01-28 06:58:52.676816 INFO::Fitting model to feature number 322, F335
## 2025-01-28 06:58:52.679012 INFO::Fitting model to feature number 323, F336
## 2025-01-28 06:58:52.681248 INFO::Fitting model to feature number 324, F337
## 2025-01-28 06:58:52.683528 INFO::Fitting model to feature number 325, F338
## 2025-01-28 06:58:52.685736 INFO::Fitting model to feature number 326, F339
## 2025-01-28 06:58:52.687962 INFO::Fitting model to feature number 327, F340
## 2025-01-28 06:58:52.690164 INFO::Fitting model to feature number 328, F342
## 2025-01-28 06:58:52.692404 INFO::Fitting model to feature number 329, F343
## 2025-01-28 06:58:52.694582 INFO::Fitting model to feature number 330, F344
## 2025-01-28 06:58:52.696784 INFO::Fitting model to feature number 331, F345
## 2025-01-28 06:58:52.698967 INFO::Fitting model to feature number 332, F346
## 2025-01-28 06:58:52.70119 INFO::Fitting model to feature number 333, F347
## 2025-01-28 06:58:52.703366 INFO::Fitting model to feature number 334, F348
## 2025-01-28 06:58:52.705575 INFO::Fitting model to feature number 335, F350
## 2025-01-28 06:58:52.707792 INFO::Fitting model to feature number 336, F351
## 2025-01-28 06:58:52.709974 INFO::Fitting model to feature number 337, F352
## 2025-01-28 06:58:52.712158 INFO::Fitting model to feature number 338, F353
## 2025-01-28 06:58:52.714358 INFO::Fitting model to feature number 339, F355
## 2025-01-28 06:58:52.716615 INFO::Fitting model to feature number 340, F356
## 2025-01-28 06:58:52.718817 INFO::Fitting model to feature number 341, F357
## 2025-01-28 06:58:52.721049 INFO::Fitting model to feature number 342, F358
## 2025-01-28 06:58:52.723258 INFO::Fitting model to feature number 343, F359
## 2025-01-28 06:58:52.725544 INFO::Fitting model to feature number 344, F360
## 2025-01-28 06:58:52.727748 INFO::Fitting model to feature number 345, F361
## 2025-01-28 06:58:52.729914 INFO::Fitting model to feature number 346, F362
## 2025-01-28 06:58:52.732174 INFO::Fitting model to feature number 347, F363
## 2025-01-28 06:58:52.734377 INFO::Fitting model to feature number 348, F364
## 2025-01-28 06:58:52.736584 INFO::Fitting model to feature number 349, F365
## 2025-01-28 06:58:52.73876 INFO::Fitting model to feature number 350, F366
## 2025-01-28 06:58:52.740991 INFO::Fitting model to feature number 351, F367
## 2025-01-28 06:58:52.74317 INFO::Fitting model to feature number 352, F368
## 2025-01-28 06:58:52.745366 INFO::Fitting model to feature number 353, F369
## 2025-01-28 06:58:52.747617 INFO::Fitting model to feature number 354, F370
## 2025-01-28 06:58:52.749788 INFO::Fitting model to feature number 355, F371
## 2025-01-28 06:58:52.751985 INFO::Fitting model to feature number 356, F372
## 2025-01-28 06:58:52.754192 INFO::Fitting model to feature number 357, F373
## 2025-01-28 06:58:52.756396 INFO::Fitting model to feature number 358, F374
## 2025-01-28 06:58:52.758571 INFO::Fitting model to feature number 359, F375
## 2025-01-28 06:58:52.760792 INFO::Fitting model to feature number 360, F376
## 2025-01-28 06:58:52.763073 INFO::Fitting model to feature number 361, F377
## 2025-01-28 06:58:52.765346 INFO::Fitting model to feature number 362, F378
## 2025-01-28 06:58:52.767563 INFO::Fitting model to feature number 363, F379
## 2025-01-28 06:58:52.769753 INFO::Fitting model to feature number 364, F380
## 2025-01-28 06:58:52.772027 INFO::Fitting model to feature number 365, F381
## 2025-01-28 06:58:52.77422 INFO::Fitting model to feature number 366, F382
## 2025-01-28 06:58:52.776444 INFO::Fitting model to feature number 367, F383
## 2025-01-28 06:58:52.778651 INFO::Fitting model to feature number 368, F384
## 2025-01-28 06:58:52.78087 INFO::Fitting model to feature number 369, F386
## 2025-01-28 06:58:52.78305 INFO::Fitting model to feature number 370, F387
## 2025-01-28 06:58:52.785253 INFO::Fitting model to feature number 371, F388
## 2025-01-28 06:58:52.787519 INFO::Fitting model to feature number 372, F389
## 2025-01-28 06:58:52.78972 INFO::Fitting model to feature number 373, F390
## 2025-01-28 06:58:52.791944 INFO::Fitting model to feature number 374, F391
## 2025-01-28 06:58:52.794156 INFO::Fitting model to feature number 375, F392
## 2025-01-28 06:58:52.796389 INFO::Fitting model to feature number 376, F393
## 2025-01-28 06:58:52.79861 INFO::Fitting model to feature number 377, F394
## 2025-01-28 06:58:52.800824 INFO::Fitting model to feature number 378, F395
## 2025-01-28 06:58:52.803028 INFO::Fitting model to feature number 379, F396
## 2025-01-28 06:58:52.805269 INFO::Fitting model to feature number 380, F397
## 2025-01-28 06:58:52.807478 INFO::Fitting model to feature number 381, F398
## 2025-01-28 06:58:52.809681 INFO::Fitting model to feature number 382, F399
## 2025-01-28 06:58:52.811906 INFO::Fitting model to feature number 383, F400
## 2025-01-28 06:58:52.814109 INFO::Fitting model to feature number 384, F401
## 2025-01-28 06:58:52.81632 INFO::Fitting model to feature number 385, F402
## 2025-01-28 06:58:52.818509 INFO::Fitting model to feature number 386, F403
## 2025-01-28 06:58:52.820729 INFO::Fitting model to feature number 387, F404
## 2025-01-28 06:58:52.822888 INFO::Fitting model to feature number 388, F406
## 2025-01-28 06:58:52.825113 INFO::Fitting model to feature number 389, F407
## 2025-01-28 06:58:52.827304 INFO::Fitting model to feature number 390, F408
## 2025-01-28 06:58:52.829591 INFO::Fitting model to feature number 391, F409
## 2025-01-28 06:58:52.831806 INFO::Fitting model to feature number 392, F410
## 2025-01-28 06:58:52.834003 INFO::Fitting model to feature number 393, F411
## 2025-01-28 06:58:52.836247 INFO::Fitting model to feature number 394, F412
## 2025-01-28 06:58:52.838489 INFO::Fitting model to feature number 395, F413
## 2025-01-28 06:58:52.840713 INFO::Fitting model to feature number 396, F414
## 2025-01-28 06:58:52.842908 INFO::Fitting model to feature number 397, F415
## 2025-01-28 06:58:52.84517 INFO::Fitting model to feature number 398, F416
## 2025-01-28 06:58:52.847435 INFO::Fitting model to feature number 399, F417
## 2025-01-28 06:58:52.849657 INFO::Fitting model to feature number 400, F418
## 2025-01-28 06:58:52.851897 INFO::Fitting model to feature number 401, F419
## 2025-01-28 06:58:52.854082 INFO::Fitting model to feature number 402, F420
## 2025-01-28 06:58:52.856387 INFO::Fitting model to feature number 403, F421
## 2025-01-28 06:58:52.858578 INFO::Fitting model to feature number 404, F422
## 2025-01-28 06:58:52.860801 INFO::Fitting model to feature number 405, F423
## 2025-01-28 06:58:52.862984 INFO::Fitting model to feature number 406, F425
## 2025-01-28 06:58:52.865242 INFO::Fitting model to feature number 407, F426
## 2025-01-28 06:58:52.867511 INFO::Fitting model to feature number 408, F428
## 2025-01-28 06:58:52.869725 INFO::Fitting model to feature number 409, F429
## 2025-01-28 06:58:52.871938 INFO::Fitting model to feature number 410, F430
## 2025-01-28 06:58:52.874158 INFO::Fitting model to feature number 411, F431
## 2025-01-28 06:58:52.876397 INFO::Fitting model to feature number 412, F432
## 2025-01-28 06:58:52.878588 INFO::Fitting model to feature number 413, F433
## 2025-01-28 06:58:52.88085 INFO::Fitting model to feature number 414, F434
## 2025-01-28 06:58:52.88303 INFO::Fitting model to feature number 415, F435
## 2025-01-28 06:58:52.885273 INFO::Fitting model to feature number 416, F436
## 2025-01-28 06:58:52.887531 INFO::Fitting model to feature number 417, F437
## 2025-01-28 06:58:52.889828 INFO::Fitting model to feature number 418, F438
## 2025-01-28 06:58:52.892029 INFO::Fitting model to feature number 419, F439
## 2025-01-28 06:58:52.894225 INFO::Fitting model to feature number 420, F440
## 2025-01-28 06:58:52.896497 INFO::Fitting model to feature number 421, F441
## 2025-01-28 06:58:52.898741 INFO::Fitting model to feature number 422, F442
## 2025-01-28 06:58:52.912667 INFO::Fitting model to feature number 423, F443
## 2025-01-28 06:58:52.91553 INFO::Fitting model to feature number 424, F444
## 2025-01-28 06:58:52.917727 INFO::Fitting model to feature number 425, F445
## 2025-01-28 06:58:52.919967 INFO::Fitting model to feature number 426, F446
## 2025-01-28 06:58:52.922146 INFO::Fitting model to feature number 427, F447
## 2025-01-28 06:58:52.924367 INFO::Fitting model to feature number 428, F448
## 2025-01-28 06:58:52.926577 INFO::Fitting model to feature number 429, F449
## 2025-01-28 06:58:52.928835 INFO::Fitting model to feature number 430, F450
## 2025-01-28 06:58:52.931029 INFO::Fitting model to feature number 431, F451
## 2025-01-28 06:58:52.933263 INFO::Fitting model to feature number 432, F452
## 2025-01-28 06:58:52.935476 INFO::Fitting model to feature number 433, F454
## 2025-01-28 06:58:52.937655 INFO::Fitting model to feature number 434, F455
## 2025-01-28 06:58:52.939872 INFO::Fitting model to feature number 435, F456
## 2025-01-28 06:58:52.942045 INFO::Fitting model to feature number 436, F457
## 2025-01-28 06:58:52.944233 INFO::Fitting model to feature number 437, F458
## 2025-01-28 06:58:52.946411 INFO::Fitting model to feature number 438, F459
## 2025-01-28 06:58:52.948616 INFO::Fitting model to feature number 439, F461
## 2025-01-28 06:58:52.950793 INFO::Fitting model to feature number 440, F462
## 2025-01-28 06:58:52.952989 INFO::Fitting model to feature number 441, F463
## 2025-01-28 06:58:52.95516 INFO::Fitting model to feature number 442, F464
## 2025-01-28 06:58:52.957396 INFO::Fitting model to feature number 443, F465
## 2025-01-28 06:58:52.959624 INFO::Fitting model to feature number 444, F466
## 2025-01-28 06:58:52.961792 INFO::Fitting model to feature number 445, F467
## 2025-01-28 06:58:52.964043 INFO::Fitting model to feature number 446, F468
## 2025-01-28 06:58:52.966315 INFO::Fitting model to feature number 447, F469
## 2025-01-28 06:58:52.968528 INFO::Fitting model to feature number 448, F470
## 2025-01-28 06:58:52.970855 INFO::Fitting model to feature number 449, F471
## 2025-01-28 06:58:52.973222 INFO::Fitting model to feature number 450, F474
## 2025-01-28 06:58:52.9756 INFO::Fitting model to feature number 451, F475
## 2025-01-28 06:58:52.977805 INFO::Fitting model to feature number 452, F476
## 2025-01-28 06:58:52.980016 INFO::Fitting model to feature number 453, F477
## 2025-01-28 06:58:52.982188 INFO::Fitting model to feature number 454, F478
## 2025-01-28 06:58:52.984438 INFO::Fitting model to feature number 455, F479
## 2025-01-28 06:58:52.98663 INFO::Fitting model to feature number 456, F480
## 2025-01-28 06:58:52.988883 INFO::Fitting model to feature number 457, F481
## 2025-01-28 06:58:52.991093 INFO::Fitting model to feature number 458, F482
## 2025-01-28 06:58:52.993334 INFO::Fitting model to feature number 459, F483
## 2025-01-28 06:58:52.995579 INFO::Fitting model to feature number 460, F484
## 2025-01-28 06:58:52.997784 INFO::Fitting model to feature number 461, F485
## 2025-01-28 06:58:53.000005 INFO::Fitting model to feature number 462, F486
## 2025-01-28 06:58:53.002199 INFO::Fitting model to feature number 463, F487
## 2025-01-28 06:58:53.00445 INFO::Fitting model to feature number 464, F488
## 2025-01-28 06:58:53.006636 INFO::Fitting model to feature number 465, F489
## 2025-01-28 06:58:53.008852 INFO::Fitting model to feature number 466, F490
## 2025-01-28 06:58:53.011018 INFO::Fitting model to feature number 467, F491
## 2025-01-28 06:58:53.013237 INFO::Fitting model to feature number 468, F492
## 2025-01-28 06:58:53.015447 INFO::Fitting model to feature number 469, F493
## 2025-01-28 06:58:53.017698 INFO::Fitting model to feature number 470, F494
## 2025-01-28 06:58:53.020057 INFO::Fitting model to feature number 471, F495
## 2025-01-28 06:58:53.022313 INFO::Fitting model to feature number 472, F496
## 2025-01-28 06:58:53.024573 INFO::Fitting model to feature number 473, F497
## 2025-01-28 06:58:53.026766 INFO::Fitting model to feature number 474, F498
## 2025-01-28 06:58:53.028973 INFO::Fitting model to feature number 475, F499
## 2025-01-28 06:58:53.031199 INFO::Fitting model to feature number 476, F500
## 2025-01-28 06:58:53.033506 INFO::Fitting model to feature number 477, F501
## 2025-01-28 06:58:53.035727 INFO::Fitting model to feature number 478, F502
## 2025-01-28 06:58:53.037891 INFO::Fitting model to feature number 479, F503
## 2025-01-28 06:58:53.040058 INFO::Fitting model to feature number 480, F504
## 2025-01-28 06:58:53.042212 INFO::Fitting model to feature number 481, F505
## 2025-01-28 06:58:53.044424 INFO::Fitting model to feature number 482, F506
## 2025-01-28 06:58:53.046578 INFO::Fitting model to feature number 483, F507
## 2025-01-28 06:58:53.048761 INFO::Fitting model to feature number 484, F508
## 2025-01-28 06:58:53.050951 INFO::Fitting model to feature number 485, F509
## 2025-01-28 06:58:53.053302 INFO::Fitting model to feature number 486, F510
## 2025-01-28 06:58:53.05558 INFO::Fitting model to feature number 487, F511
## 2025-01-28 06:58:53.057754 INFO::Fitting model to feature number 488, F512
## 2025-01-28 06:58:53.059972 INFO::Fitting model to feature number 489, F513
## 2025-01-28 06:58:53.062183 INFO::Fitting model to feature number 490, F514
## 2025-01-28 06:58:53.064388 INFO::Fitting model to feature number 491, F515
## 2025-01-28 06:58:53.066595 INFO::Fitting model to feature number 492, F516
## 2025-01-28 06:58:53.068793 INFO::Fitting model to feature number 493, F517
## 2025-01-28 06:58:53.070943 INFO::Fitting model to feature number 494, F518
## 2025-01-28 06:58:53.073117 INFO::Fitting model to feature number 495, F519
## 2025-01-28 06:58:53.07532 INFO::Fitting model to feature number 496, F520
## 2025-01-28 06:58:53.077556 INFO::Fitting model to feature number 497, F521
## 2025-01-28 06:58:53.079751 INFO::Fitting model to feature number 498, F522
## 2025-01-28 06:58:53.081899 INFO::Fitting model to feature number 499, F523
## 2025-01-28 06:58:53.084201 INFO::Fitting model to feature number 500, F524
## 2025-01-28 06:58:53.086439 INFO::Fitting model to feature number 501, F525
## 2025-01-28 06:58:53.08866 INFO::Fitting model to feature number 502, F526
## 2025-01-28 06:58:53.090852 INFO::Fitting model to feature number 503, F527
## 2025-01-28 06:58:53.093076 INFO::Fitting model to feature number 504, F528
## 2025-01-28 06:58:53.095244 INFO::Fitting model to feature number 505, F529
## 2025-01-28 06:58:53.097427 INFO::Fitting model to feature number 506, F530
## 2025-01-28 06:58:53.099621 INFO::Fitting model to feature number 507, F531
## 2025-01-28 06:58:53.101784 INFO::Fitting model to feature number 508, F532
## 2025-01-28 06:58:53.103961 INFO::Fitting model to feature number 509, F533
## 2025-01-28 06:58:53.106104 INFO::Fitting model to feature number 510, F534
## 2025-01-28 06:58:53.108317 INFO::Fitting model to feature number 511, F535
## 2025-01-28 06:58:53.110499 INFO::Fitting model to feature number 512, F536
## 2025-01-28 06:58:53.112703 INFO::Fitting model to feature number 513, F537
## 2025-01-28 06:58:53.114902 INFO::Fitting model to feature number 514, F539
## 2025-01-28 06:58:53.117145 INFO::Fitting model to feature number 515, F540
## 2025-01-28 06:58:53.119318 INFO::Fitting model to feature number 516, F541
## 2025-01-28 06:58:53.121519 INFO::Fitting model to feature number 517, F543
## 2025-01-28 06:58:53.123801 INFO::Fitting model to feature number 518, F544
## 2025-01-28 06:58:53.126019 INFO::Fitting model to feature number 519, F545
## 2025-01-28 06:58:53.128224 INFO::Fitting model to feature number 520, F546
## 2025-01-28 06:58:53.130426 INFO::Fitting model to feature number 521, F547
## 2025-01-28 06:58:53.132658 INFO::Fitting model to feature number 522, F548
## 2025-01-28 06:58:53.134892 INFO::Fitting model to feature number 523, F549
## 2025-01-28 06:58:53.137127 INFO::Fitting model to feature number 524, F550
## 2025-01-28 06:58:53.139341 INFO::Fitting model to feature number 525, F551
## 2025-01-28 06:58:53.141563 INFO::Fitting model to feature number 526, F552
## 2025-01-28 06:58:53.14376 INFO::Fitting model to feature number 527, F553
## 2025-01-28 06:58:53.145931 INFO::Fitting model to feature number 528, F554
## 2025-01-28 06:58:53.148157 INFO::Fitting model to feature number 529, F555
## 2025-01-28 06:58:53.150342 INFO::Fitting model to feature number 530, F556
## 2025-01-28 06:58:53.152577 INFO::Fitting model to feature number 531, F557
## 2025-01-28 06:58:53.154845 INFO::Fitting model to feature number 532, F558
## 2025-01-28 06:58:53.157126 INFO::Fitting model to feature number 533, F559
## 2025-01-28 06:58:53.159465 INFO::Fitting model to feature number 534, F560
## 2025-01-28 06:58:53.161766 INFO::Fitting model to feature number 535, F561
## 2025-01-28 06:58:53.164023 INFO::Fitting model to feature number 536, F562
## 2025-01-28 06:58:53.166236 INFO::Fitting model to feature number 537, F563
## 2025-01-28 06:58:53.168442 INFO::Fitting model to feature number 538, F564
## 2025-01-28 06:58:53.170631 INFO::Fitting model to feature number 539, F566
## 2025-01-28 06:58:53.172835 INFO::Fitting model to feature number 540, F567
## 2025-01-28 06:58:53.175025 INFO::Fitting model to feature number 541, F568
## 2025-01-28 06:58:53.177348 INFO::Fitting model to feature number 542, F569
## 2025-01-28 06:58:53.179592 INFO::Fitting model to feature number 543, F570
## 2025-01-28 06:58:53.181793 INFO::Fitting model to feature number 544, F571
## 2025-01-28 06:58:53.18412 INFO::Fitting model to feature number 545, F572
## 2025-01-28 06:58:53.186444 INFO::Fitting model to feature number 546, F573
## 2025-01-28 06:58:53.18868 INFO::Fitting model to feature number 547, F574
## 2025-01-28 06:58:53.190851 INFO::Fitting model to feature number 548, F575
## 2025-01-28 06:58:53.193074 INFO::Fitting model to feature number 549, F576
## 2025-01-28 06:58:53.195254 INFO::Fitting model to feature number 550, F577
## 2025-01-28 06:58:53.197463 INFO::Fitting model to feature number 551, F578
## 2025-01-28 06:58:53.199692 INFO::Fitting model to feature number 552, F579
## 2025-01-28 06:58:53.201886 INFO::Fitting model to feature number 553, F580
## 2025-01-28 06:58:53.204103 INFO::Fitting model to feature number 554, F581
## 2025-01-28 06:58:53.206295 INFO::Fitting model to feature number 555, F582
## 2025-01-28 06:58:53.208511 INFO::Fitting model to feature number 556, F583
## 2025-01-28 06:58:53.210702 INFO::Fitting model to feature number 557, F584
## 2025-01-28 06:58:53.212961 INFO::Fitting model to feature number 558, F585
## 2025-01-28 06:58:53.215157 INFO::Fitting model to feature number 559, F586
## 2025-01-28 06:58:53.217401 INFO::Fitting model to feature number 560, F587
## 2025-01-28 06:58:53.219636 INFO::Fitting model to feature number 561, F588
## 2025-01-28 06:58:53.221822 INFO::Fitting model to feature number 562, F589
## 2025-01-28 06:58:53.22403 INFO::Fitting model to feature number 563, F590
## 2025-01-28 06:58:53.226282 INFO::Fitting model to feature number 564, F591
## 2025-01-28 06:58:53.228477 INFO::Fitting model to feature number 565, F592
## 2025-01-28 06:58:53.230658 INFO::Fitting model to feature number 566, F593
## 2025-01-28 06:58:53.232874 INFO::Fitting model to feature number 567, F594
## 2025-01-28 06:58:53.235066 INFO::Fitting model to feature number 568, F595
## 2025-01-28 06:58:53.237262 INFO::Fitting model to feature number 569, F596
## 2025-01-28 06:58:53.23949 INFO::Fitting model to feature number 570, F597
## 2025-01-28 06:58:53.241677 INFO::Fitting model to feature number 571, F598
## 2025-01-28 06:58:53.243885 INFO::Fitting model to feature number 572, F599
## 2025-01-28 06:58:53.24607 INFO::Fitting model to feature number 573, F600
## 2025-01-28 06:58:53.248276 INFO::Fitting model to feature number 574, F601
## 2025-01-28 06:58:53.250495 INFO::Fitting model to feature number 575, F602
## 2025-01-28 06:58:53.25275 INFO::Fitting model to feature number 576, F603
## 2025-01-28 06:58:53.254939 INFO::Fitting model to feature number 577, F605
## 2025-01-28 06:58:53.25719 INFO::Fitting model to feature number 578, F606
## 2025-01-28 06:58:53.259388 INFO::Fitting model to feature number 579, F607
## 2025-01-28 06:58:53.261592 INFO::Fitting model to feature number 580, F608
## 2025-01-28 06:58:53.26382 INFO::Fitting model to feature number 581, F609
## 2025-01-28 06:58:53.266019 INFO::Fitting model to feature number 582, F610
## 2025-01-28 06:58:53.268236 INFO::Fitting model to feature number 583, F611
## 2025-01-28 06:58:53.270439 INFO::Fitting model to feature number 584, F612
## 2025-01-28 06:58:53.272706 INFO::Fitting model to feature number 585, F613
## 2025-01-28 06:58:53.274891 INFO::Fitting model to feature number 586, F614
## 2025-01-28 06:58:53.277103 INFO::Fitting model to feature number 587, F615
## 2025-01-28 06:58:53.279295 INFO::Fitting model to feature number 588, F616
## 2025-01-28 06:58:53.281541 INFO::Fitting model to feature number 589, F617
## 2025-01-28 06:58:53.283754 INFO::Fitting model to feature number 590, F618
## 2025-01-28 06:58:53.28595 INFO::Fitting model to feature number 591, F619
## 2025-01-28 06:58:53.288179 INFO::Fitting model to feature number 592, F620
## 2025-01-28 06:58:53.29037 INFO::Fitting model to feature number 593, F621
## 2025-01-28 06:58:53.292585 INFO::Fitting model to feature number 594, F622
## 2025-01-28 06:58:53.29478 INFO::Fitting model to feature number 595, F623
## 2025-01-28 06:58:53.297022 INFO::Fitting model to feature number 596, F624
## 2025-01-28 06:58:53.299253 INFO::Fitting model to feature number 597, F625
## 2025-01-28 06:58:53.301471 INFO::Fitting model to feature number 598, F626
## 2025-01-28 06:58:53.303681 INFO::Fitting model to feature number 599, F627
## 2025-01-28 06:58:53.305855 INFO::Fitting model to feature number 600, F628
## 2025-01-28 06:58:53.308059 INFO::Fitting model to feature number 601, F629
## 2025-01-28 06:58:53.310251 INFO::Fitting model to feature number 602, F630
## 2025-01-28 06:58:53.312489 INFO::Fitting model to feature number 603, F631
## 2025-01-28 06:58:53.314695 INFO::Fitting model to feature number 604, F632
## 2025-01-28 06:58:53.316931 INFO::Fitting model to feature number 605, F633
## 2025-01-28 06:58:53.319121 INFO::Fitting model to feature number 606, F634
## 2025-01-28 06:58:53.321361 INFO::Fitting model to feature number 607, F635
## 2025-01-28 06:58:53.323563 INFO::Fitting model to feature number 608, F636
## 2025-01-28 06:58:53.325734 INFO::Fitting model to feature number 609, F637
## 2025-01-28 06:58:53.327975 INFO::Fitting model to feature number 610, F638
## 2025-01-28 06:58:53.330152 INFO::Fitting model to feature number 611, F639
## 2025-01-28 06:58:53.332369 INFO::Fitting model to feature number 612, F640
## 2025-01-28 06:58:53.334577 INFO::Fitting model to feature number 613, F641
## 2025-01-28 06:58:53.336818 INFO::Fitting model to feature number 614, F642
## 2025-01-28 06:58:53.338999 INFO::Fitting model to feature number 615, F643
## 2025-01-28 06:58:53.341207 INFO::Fitting model to feature number 616, F644
## 2025-01-28 06:58:53.343483 INFO::Fitting model to feature number 617, F645
## 2025-01-28 06:58:53.345703 INFO::Fitting model to feature number 618, F646
## 2025-01-28 06:58:53.347932 INFO::Fitting model to feature number 619, F647
## 2025-01-28 06:58:53.350122 INFO::Fitting model to feature number 620, F648
## 2025-01-28 06:58:53.35241 INFO::Fitting model to feature number 621, F649
## 2025-01-28 06:58:53.354644 INFO::Fitting model to feature number 622, F650
## 2025-01-28 06:58:53.356873 INFO::Fitting model to feature number 623, F651
## 2025-01-28 06:58:53.359085 INFO::Fitting model to feature number 624, F652
## 2025-01-28 06:58:53.361316 INFO::Fitting model to feature number 625, F653
## 2025-01-28 06:58:53.363549 INFO::Fitting model to feature number 626, F654
## 2025-01-28 06:58:53.365719 INFO::Fitting model to feature number 627, F655
## 2025-01-28 06:58:53.367992 INFO::Fitting model to feature number 628, F656
## 2025-01-28 06:58:53.370188 INFO::Fitting model to feature number 629, F657
## 2025-01-28 06:58:53.372432 INFO::Fitting model to feature number 630, F658
## 2025-01-28 06:58:53.374641 INFO::Fitting model to feature number 631, F659
## 2025-01-28 06:58:53.376886 INFO::Fitting model to feature number 632, F660
## 2025-01-28 06:58:53.3791 INFO::Fitting model to feature number 633, F661
## 2025-01-28 06:58:53.381301 INFO::Fitting model to feature number 634, F662
## 2025-01-28 06:58:53.383528 INFO::Fitting model to feature number 635, F663
## 2025-01-28 06:58:53.385743 INFO::Fitting model to feature number 636, F664
## 2025-01-28 06:58:53.387965 INFO::Fitting model to feature number 637, F665
## 2025-01-28 06:58:53.390271 INFO::Fitting model to feature number 638, F666
## 2025-01-28 06:58:53.392566 INFO::Fitting model to feature number 639, F667
## 2025-01-28 06:58:53.394773 INFO::Fitting model to feature number 640, F668
## 2025-01-28 06:58:53.397008 INFO::Fitting model to feature number 641, F669
## 2025-01-28 06:58:53.399197 INFO::Fitting model to feature number 642, F670
## 2025-01-28 06:58:53.401424 INFO::Fitting model to feature number 643, F671
## 2025-01-28 06:58:53.403648 INFO::Fitting model to feature number 644, F672
## 2025-01-28 06:58:53.405834 INFO::Fitting model to feature number 645, F673
## 2025-01-28 06:58:53.408072 INFO::Fitting model to feature number 646, F674
## 2025-01-28 06:58:53.410261 INFO::Fitting model to feature number 647, F675
## 2025-01-28 06:58:53.412494 INFO::Fitting model to feature number 648, F676
## 2025-01-28 06:58:53.414688 INFO::Fitting model to feature number 649, F677
## 2025-01-28 06:58:53.4169 INFO::Fitting model to feature number 650, F678
## 2025-01-28 06:58:53.419155 INFO::Fitting model to feature number 651, F679
## 2025-01-28 06:58:53.421455 INFO::Fitting model to feature number 652, F680
## 2025-01-28 06:58:53.436132 INFO::Fitting model to feature number 653, F681
## 2025-01-28 06:58:53.438484 INFO::Fitting model to feature number 654, F682
## 2025-01-28 06:58:53.44075 INFO::Fitting model to feature number 655, F683
## 2025-01-28 06:58:53.442955 INFO::Fitting model to feature number 656, F684
## 2025-01-28 06:58:53.445177 INFO::Fitting model to feature number 657, F685
## 2025-01-28 06:58:53.447362 INFO::Fitting model to feature number 658, F686
## 2025-01-28 06:58:53.449649 INFO::Fitting model to feature number 659, F687
## 2025-01-28 06:58:53.451975 INFO::Fitting model to feature number 660, F688
## 2025-01-28 06:58:53.454231 INFO::Fitting model to feature number 661, F689
## 2025-01-28 06:58:53.456507 INFO::Fitting model to feature number 662, F690
## 2025-01-28 06:58:53.458714 INFO::Fitting model to feature number 663, F691
## 2025-01-28 06:58:53.460954 INFO::Fitting model to feature number 664, F692
## 2025-01-28 06:58:53.463138 INFO::Fitting model to feature number 665, F693
## 2025-01-28 06:58:53.465383 INFO::Fitting model to feature number 666, F694
## 2025-01-28 06:58:53.467582 INFO::Fitting model to feature number 667, F695
## 2025-01-28 06:58:53.469765 INFO::Fitting model to feature number 668, F696
## 2025-01-28 06:58:53.471976 INFO::Fitting model to feature number 669, F697
## 2025-01-28 06:58:53.474154 INFO::Fitting model to feature number 670, F698
## 2025-01-28 06:58:53.476365 INFO::Fitting model to feature number 671, F699
## 2025-01-28 06:58:53.478575 INFO::Fitting model to feature number 672, F700
## 2025-01-28 06:58:53.48081 INFO::Fitting model to feature number 673, F701
## 2025-01-28 06:58:53.482993 INFO::Fitting model to feature number 674, F702
## 2025-01-28 06:58:53.485245 INFO::Fitting model to feature number 675, F704
## 2025-01-28 06:58:53.487465 INFO::Fitting model to feature number 676, F705
## 2025-01-28 06:58:53.489662 INFO::Fitting model to feature number 677, F706
## 2025-01-28 06:58:53.491866 INFO::Fitting model to feature number 678, F707
## 2025-01-28 06:58:53.494055 INFO::Fitting model to feature number 679, F708
## 2025-01-28 06:58:53.496293 INFO::Fitting model to feature number 680, F709
## 2025-01-28 06:58:53.498492 INFO::Fitting model to feature number 681, F710
## 2025-01-28 06:58:53.500746 INFO::Fitting model to feature number 682, F711
## 2025-01-28 06:58:53.502941 INFO::Fitting model to feature number 683, F712
## 2025-01-28 06:58:53.505178 INFO::Fitting model to feature number 684, F713
## 2025-01-28 06:58:53.507361 INFO::Fitting model to feature number 685, F714
## 2025-01-28 06:58:53.509574 INFO::Fitting model to feature number 686, F715
## 2025-01-28 06:58:53.511796 INFO::Fitting model to feature number 687, F716
## 2025-01-28 06:58:53.514001 INFO::Fitting model to feature number 688, F717
## 2025-01-28 06:58:53.516249 INFO::Fitting model to feature number 689, F718
## 2025-01-28 06:58:53.518503 INFO::Fitting model to feature number 690, F719
## 2025-01-28 06:58:53.520761 INFO::Fitting model to feature number 691, F720
## 2025-01-28 06:58:53.522972 INFO::Fitting model to feature number 692, F721
## 2025-01-28 06:58:53.525207 INFO::Fitting model to feature number 693, F722
## 2025-01-28 06:58:53.527405 INFO::Fitting model to feature number 694, F723
## 2025-01-28 06:58:53.529627 INFO::Fitting model to feature number 695, F724
## 2025-01-28 06:58:53.531868 INFO::Fitting model to feature number 696, F725
## 2025-01-28 06:58:53.534091 INFO::Fitting model to feature number 697, F726
## 2025-01-28 06:58:53.53634 INFO::Fitting model to feature number 698, F727
## 2025-01-28 06:58:53.53861 INFO::Fitting model to feature number 699, F728
## 2025-01-28 06:58:53.540847 INFO::Fitting model to feature number 700, F729
## 2025-01-28 06:58:53.543029 INFO::Fitting model to feature number 701, F730
## 2025-01-28 06:58:53.545292 INFO::Fitting model to feature number 702, F731
## 2025-01-28 06:58:53.547549 INFO::Fitting model to feature number 703, F732
## 2025-01-28 06:58:53.549733 INFO::Fitting model to feature number 704, F733
## 2025-01-28 06:58:53.551953 INFO::Fitting model to feature number 705, F734
## 2025-01-28 06:58:53.554146 INFO::Fitting model to feature number 706, F735
## 2025-01-28 06:58:53.556366 INFO::Fitting model to feature number 707, F736
## 2025-01-28 06:58:53.558555 INFO::Fitting model to feature number 708, F737
## 2025-01-28 06:58:53.560776 INFO::Fitting model to feature number 709, F739
## 2025-01-28 06:58:53.562937 INFO::Fitting model to feature number 710, F740
## 2025-01-28 06:58:53.565238 INFO::Fitting model to feature number 711, F741
## 2025-01-28 06:58:53.567506 INFO::Fitting model to feature number 712, F742
## 2025-01-28 06:58:53.569707 INFO::Fitting model to feature number 713, F743
## 2025-01-28 06:58:53.571917 INFO::Fitting model to feature number 714, F744
## 2025-01-28 06:58:53.574106 INFO::Fitting model to feature number 715, F745
## 2025-01-28 06:58:53.576342 INFO::Fitting model to feature number 716, F746
## 2025-01-28 06:58:53.578559 INFO::Fitting model to feature number 717, F747
## 2025-01-28 06:58:53.580791 INFO::Fitting model to feature number 718, F748
## 2025-01-28 06:58:53.583023 INFO::Fitting model to feature number 719, F749
## 2025-01-28 06:58:53.585286 INFO::Fitting model to feature number 720, F750
## 2025-01-28 06:58:53.587492 INFO::Fitting model to feature number 721, F751
## 2025-01-28 06:58:53.589658 INFO::Fitting model to feature number 722, F752
## 2025-01-28 06:58:53.591893 INFO::Fitting model to feature number 723, F753
## 2025-01-28 06:58:53.594059 INFO::Fitting model to feature number 724, F754
## 2025-01-28 06:58:53.596305 INFO::Fitting model to feature number 725, F755
## 2025-01-28 06:58:53.598529 INFO::Fitting model to feature number 726, F756
## 2025-01-28 06:58:53.600754 INFO::Fitting model to feature number 727, F757
## 2025-01-28 06:58:53.602938 INFO::Fitting model to feature number 728, F758
## 2025-01-28 06:58:53.605165 INFO::Fitting model to feature number 729, F759
## 2025-01-28 06:58:53.607332 INFO::Fitting model to feature number 730, F760
## 2025-01-28 06:58:53.609552 INFO::Fitting model to feature number 731, F761
## 2025-01-28 06:58:53.611777 INFO::Fitting model to feature number 732, F762
## 2025-01-28 06:58:53.613958 INFO::Fitting model to feature number 733, F763
## 2025-01-28 06:58:53.61619 INFO::Fitting model to feature number 734, F764
## 2025-01-28 06:58:53.618394 INFO::Fitting model to feature number 735, F765
## 2025-01-28 06:58:53.620567 INFO::Fitting model to feature number 736, F766
## 2025-01-28 06:58:53.622725 INFO::Fitting model to feature number 737, F767
## 2025-01-28 06:58:53.624911 INFO::Fitting model to feature number 738, F768
## 2025-01-28 06:58:53.627099 INFO::Fitting model to feature number 739, F769
## 2025-01-28 06:58:53.629313 INFO::Fitting model to feature number 740, F770
## 2025-01-28 06:58:53.631502 INFO::Fitting model to feature number 741, F771
## 2025-01-28 06:58:53.633701 INFO::Fitting model to feature number 742, F772
## 2025-01-28 06:58:53.635937 INFO::Fitting model to feature number 743, F773
## 2025-01-28 06:58:53.6381 INFO::Fitting model to feature number 744, F774
## 2025-01-28 06:58:53.640344 INFO::Fitting model to feature number 745, F775
## 2025-01-28 06:58:53.642572 INFO::Fitting model to feature number 746, F776
## 2025-01-28 06:58:53.644807 INFO::Fitting model to feature number 747, F777
## 2025-01-28 06:58:53.647058 INFO::Fitting model to feature number 748, F778
## 2025-01-28 06:58:53.64957 INFO::Fitting model to feature number 749, F779
## 2025-01-28 06:58:53.652342 INFO::Fitting model to feature number 750, F780
## 2025-01-28 06:58:53.654613 INFO::Fitting model to feature number 751, F781
## 2025-01-28 06:58:53.656913 INFO::Fitting model to feature number 752, F782
## 2025-01-28 06:58:53.659181 INFO::Fitting model to feature number 753, F783
## 2025-01-28 06:58:53.66146 INFO::Fitting model to feature number 754, F784
## 2025-01-28 06:58:53.663702 INFO::Fitting model to feature number 755, F785
## 2025-01-28 06:58:53.665907 INFO::Fitting model to feature number 756, F786
## 2025-01-28 06:58:53.668147 INFO::Fitting model to feature number 757, F787
## 2025-01-28 06:58:53.670335 INFO::Fitting model to feature number 758, F788
## 2025-01-28 06:58:53.67256 INFO::Fitting model to feature number 759, F789
## 2025-01-28 06:58:53.674743 INFO::Fitting model to feature number 760, F790
## 2025-01-28 06:58:53.677046 INFO::Fitting model to feature number 761, F791
## 2025-01-28 06:58:53.679288 INFO::Fitting model to feature number 762, F792
## 2025-01-28 06:58:53.681575 INFO::Fitting model to feature number 763, F793
## 2025-01-28 06:58:53.68386 INFO::Fitting model to feature number 764, F794
## 2025-01-28 06:58:53.686081 INFO::Fitting model to feature number 765, F795
## 2025-01-28 06:58:53.688344 INFO::Fitting model to feature number 766, F796
## 2025-01-28 06:58:53.69055 INFO::Fitting model to feature number 767, F797
## 2025-01-28 06:58:53.692781 INFO::Fitting model to feature number 768, F798
## 2025-01-28 06:58:53.694962 INFO::Fitting model to feature number 769, F799
## 2025-01-28 06:58:53.697155 INFO::Fitting model to feature number 770, F800
## 2025-01-28 06:58:53.699347 INFO::Fitting model to feature number 771, F801
## 2025-01-28 06:58:53.701556 INFO::Fitting model to feature number 772, F802
## 2025-01-28 06:58:53.7038 INFO::Fitting model to feature number 773, F803
## 2025-01-28 06:58:53.706085 INFO::Fitting model to feature number 774, F804
## 2025-01-28 06:58:53.708485 INFO::Fitting model to feature number 775, F805
## 2025-01-28 06:58:53.710714 INFO::Fitting model to feature number 776, F806
## 2025-01-28 06:58:53.712965 INFO::Fitting model to feature number 777, F808
## 2025-01-28 06:58:53.715198 INFO::Fitting model to feature number 778, F809
## 2025-01-28 06:58:53.71742 INFO::Fitting model to feature number 779, F810
## 2025-01-28 06:58:53.719677 INFO::Fitting model to feature number 780, F811
## 2025-01-28 06:58:53.721924 INFO::Fitting model to feature number 781, F812
## 2025-01-28 06:58:53.724314 INFO::Fitting model to feature number 782, F813
## 2025-01-28 06:58:53.726544 INFO::Fitting model to feature number 783, F814
## 2025-01-28 06:58:53.728811 INFO::Fitting model to feature number 784, F815
## 2025-01-28 06:58:53.731001 INFO::Fitting model to feature number 785, F816
## 2025-01-28 06:58:53.733251 INFO::Fitting model to feature number 786, F817
## 2025-01-28 06:58:53.735486 INFO::Fitting model to feature number 787, F818
## 2025-01-28 06:58:53.737674 INFO::Fitting model to feature number 788, F819
## 2025-01-28 06:58:53.739904 INFO::Fitting model to feature number 789, F820
## 2025-01-28 06:58:53.742073 INFO::Fitting model to feature number 790, F821
## 2025-01-28 06:58:53.744258 INFO::Fitting model to feature number 791, F822
## 2025-01-28 06:58:53.746514 INFO::Fitting model to feature number 792, F823
## 2025-01-28 06:58:53.748743 INFO::Fitting model to feature number 793, F824
## 2025-01-28 06:58:53.751034 INFO::Fitting model to feature number 794, F825
## 2025-01-28 06:58:53.75361 INFO::Fitting model to feature number 795, F826
## 2025-01-28 06:58:53.755932 INFO::Fitting model to feature number 796, F827
## 2025-01-28 06:58:53.758116 INFO::Fitting model to feature number 797, F828
## 2025-01-28 06:58:53.760346 INFO::Fitting model to feature number 798, F829
## 2025-01-28 06:58:53.762516 INFO::Fitting model to feature number 799, F830
## 2025-01-28 06:58:53.764757 INFO::Fitting model to feature number 800, F831
## 2025-01-28 06:58:53.766961 INFO::Fitting model to feature number 801, F832
## 2025-01-28 06:58:53.769176 INFO::Fitting model to feature number 802, F833
## 2025-01-28 06:58:53.77136 INFO::Fitting model to feature number 803, F834
## 2025-01-28 06:58:53.773622 INFO::Fitting model to feature number 804, F835
## 2025-01-28 06:58:53.775852 INFO::Fitting model to feature number 805, F836
## 2025-01-28 06:58:53.778032 INFO::Fitting model to feature number 806, F837
## 2025-01-28 06:58:53.780273 INFO::Fitting model to feature number 807, F838
## 2025-01-28 06:58:53.782477 INFO::Fitting model to feature number 808, F839
## 2025-01-28 06:58:53.784714 INFO::Fitting model to feature number 809, F840
## 2025-01-28 06:58:53.786926 INFO::Fitting model to feature number 810, F841
## 2025-01-28 06:58:53.789166 INFO::Fitting model to feature number 811, F842
## 2025-01-28 06:58:53.791353 INFO::Fitting model to feature number 812, F843
## 2025-01-28 06:58:53.793602 INFO::Fitting model to feature number 813, F844
## 2025-01-28 06:58:53.79585 INFO::Fitting model to feature number 814, F845
## 2025-01-28 06:58:53.798047 INFO::Fitting model to feature number 815, F846
## 2025-01-28 06:58:53.800303 INFO::Fitting model to feature number 816, F847
## 2025-01-28 06:58:53.802545 INFO::Fitting model to feature number 817, F848
## 2025-01-28 06:58:53.804795 INFO::Fitting model to feature number 818, F849
## 2025-01-28 06:58:53.806973 INFO::Fitting model to feature number 819, F850
## 2025-01-28 06:58:53.809191 INFO::Fitting model to feature number 820, F851
## 2025-01-28 06:58:53.811425 INFO::Fitting model to feature number 821, F852
## 2025-01-28 06:58:53.813646 INFO::Fitting model to feature number 822, F853
## 2025-01-28 06:58:53.815868 INFO::Fitting model to feature number 823, F854
## 2025-01-28 06:58:53.818109 INFO::Fitting model to feature number 824, F855
## 2025-01-28 06:58:53.820356 INFO::Fitting model to feature number 825, F856
## 2025-01-28 06:58:53.822546 INFO::Fitting model to feature number 826, F857
## 2025-01-28 06:58:53.824788 INFO::Fitting model to feature number 827, F858
## 2025-01-28 06:58:53.827053 INFO::Fitting model to feature number 828, F859
## 2025-01-28 06:58:53.829309 INFO::Fitting model to feature number 829, F860
## 2025-01-28 06:58:53.83158 INFO::Fitting model to feature number 830, F861
## 2025-01-28 06:58:53.833784 INFO::Fitting model to feature number 831, F862
## 2025-01-28 06:58:53.836035 INFO::Fitting model to feature number 832, F863
## 2025-01-28 06:58:53.838241 INFO::Fitting model to feature number 833, F864
## 2025-01-28 06:58:53.840451 INFO::Fitting model to feature number 834, F865
## 2025-01-28 06:58:53.842638 INFO::Fitting model to feature number 835, F866
## 2025-01-28 06:58:53.844871 INFO::Fitting model to feature number 836, F867
## 2025-01-28 06:58:53.847092 INFO::Fitting model to feature number 837, F868
## 2025-01-28 06:58:53.84934 INFO::Fitting model to feature number 838, F869
## 2025-01-28 06:58:53.851563 INFO::Fitting model to feature number 839, F870
## 2025-01-28 06:58:53.853748 INFO::Fitting model to feature number 840, F871
## 2025-01-28 06:58:53.856038 INFO::Fitting model to feature number 841, F872
## 2025-01-28 06:58:53.858237 INFO::Fitting model to feature number 842, F873
## 2025-01-28 06:58:53.860467 INFO::Fitting model to feature number 843, F874
## 2025-01-28 06:58:53.862662 INFO::Fitting model to feature number 844, F875
## 2025-01-28 06:58:53.864878 INFO::Fitting model to feature number 845, F876
## 2025-01-28 06:58:53.867102 INFO::Fitting model to feature number 846, F877
## 2025-01-28 06:58:53.869426 INFO::Fitting model to feature number 847, F878
## 2025-01-28 06:58:53.871671 INFO::Fitting model to feature number 848, F879
## 2025-01-28 06:58:53.873902 INFO::Fitting model to feature number 849, F880
## 2025-01-28 06:58:53.876142 INFO::Fitting model to feature number 850, F881
## 2025-01-28 06:58:53.878348 INFO::Fitting model to feature number 851, F882
## 2025-01-28 06:58:53.880591 INFO::Fitting model to feature number 852, F883
## 2025-01-28 06:58:53.882783 INFO::Fitting model to feature number 853, F884
## 2025-01-28 06:58:53.885037 INFO::Fitting model to feature number 854, F885
## 2025-01-28 06:58:53.887246 INFO::Fitting model to feature number 855, F886
## 2025-01-28 06:58:53.889573 INFO::Fitting model to feature number 856, F887
## 2025-01-28 06:58:53.891804 INFO::Fitting model to feature number 857, F888
## 2025-01-28 06:58:53.894016 INFO::Fitting model to feature number 858, F889
## 2025-01-28 06:58:53.896243 INFO::Fitting model to feature number 859, F890
## 2025-01-28 06:58:53.898437 INFO::Fitting model to feature number 860, F891
## 2025-01-28 06:58:53.900687 INFO::Fitting model to feature number 861, F892
## 2025-01-28 06:58:53.902875 INFO::Fitting model to feature number 862, F893
## 2025-01-28 06:58:53.905103 INFO::Fitting model to feature number 863, F894
## 2025-01-28 06:58:53.907307 INFO::Fitting model to feature number 864, F895
## 2025-01-28 06:58:53.909551 INFO::Fitting model to feature number 865, F896
## 2025-01-28 06:58:53.91177 INFO::Fitting model to feature number 866, F897
## 2025-01-28 06:58:53.913968 INFO::Fitting model to feature number 867, F898
## 2025-01-28 06:58:53.916172 INFO::Fitting model to feature number 868, F899
## 2025-01-28 06:58:53.918349 INFO::Fitting model to feature number 869, F900
## 2025-01-28 06:58:54.035619 INFO::Counting total values for each feature
## 2025-01-28 06:58:54.11265 INFO::Writing filtered data to file Macarron_output/maaslin2_results/features/filtered_data.tsv
## 2025-01-28 06:58:54.16912 INFO::Writing filtered, normalized data to file Macarron_output/maaslin2_results/features/filtered_data_norm.tsv
## 2025-01-28 06:58:54.2257 INFO::Writing filtered, normalized, transformed data to file Macarron_output/maaslin2_results/features/filtered_data_norm_transformed.tsv
## 2025-01-28 06:58:54.282021 INFO::Writing residuals to file Macarron_output/maaslin2_results/fits/residuals.rds
## 2025-01-28 06:58:54.310448 INFO::Writing fitted values to file Macarron_output/maaslin2_results/fits/fitted.rds
## 2025-01-28 06:58:54.334212 INFO::Writing all results to file (ordered by increasing q-values): Macarron_output/maaslin2_results/all_results.tsv
## 2025-01-28 06:58:54.343962 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
## 2025-01-28 06:58:54.348284 INFO::Writing association plots (one for each significant association) to output folder: Macarron_output/maaslin2_results
## 2025-01-28 06:58:54.358726 INFO::Plotting associations from most to least significant, grouped by metadata
## 2025-01-28 06:58:54.359334 INFO::Plotting data for metadata number 1, diagnosis
## 2025-01-28 06:58:54.386852 INFO::Creating boxplot for categorical data, diagnosis vs F504
## 2025-01-28 06:58:54.57353 INFO::Creating boxplot for categorical data, diagnosis vs F859
## 2025-01-28 06:58:54.708422 INFO::Creating boxplot for categorical data, diagnosis vs F533
## 2025-01-28 06:58:54.81775 INFO::Creating boxplot for categorical data, diagnosis vs F587
## 2025-01-28 06:58:54.927873 INFO::Creating boxplot for categorical data, diagnosis vs F584
## 2025-01-28 06:58:55.037268 INFO::Creating boxplot for categorical data, diagnosis vs F197
## 2025-01-28 06:58:55.158546 INFO::Creating boxplot for categorical data, diagnosis vs F380
## 2025-01-28 06:58:55.26712 INFO::Creating boxplot for categorical data, diagnosis vs F829
## 2025-01-28 06:58:55.375198 INFO::Creating boxplot for categorical data, diagnosis vs F664
## 2025-01-28 06:58:55.529673 INFO::Creating boxplot for categorical data, diagnosis vs F93
## 2025-01-28 06:58:55.637011 INFO::Creating boxplot for categorical data, diagnosis vs F15
## 2025-01-28 06:58:55.745368 INFO::Creating boxplot for categorical data, diagnosis vs F881
## 2025-01-28 06:58:55.854493 INFO::Creating boxplot for categorical data, diagnosis vs F806
## 2025-01-28 06:58:55.971841 INFO::Creating boxplot for categorical data, diagnosis vs F78
## 2025-01-28 06:58:56.077992 INFO::Creating boxplot for categorical data, diagnosis vs F189
## 2025-01-28 06:58:56.185406 INFO::Creating boxplot for categorical data, diagnosis vs F369
## 2025-01-28 06:58:56.293763 INFO::Creating boxplot for categorical data, diagnosis vs F623
## 2025-01-28 06:58:56.409338 INFO::Creating boxplot for categorical data, diagnosis vs F710
## 2025-01-28 06:58:56.516377 INFO::Creating boxplot for categorical data, diagnosis vs F851
## 2025-01-28 06:58:56.62504 INFO::Creating boxplot for categorical data, diagnosis vs F257
## 2025-01-28 06:58:56.739484 INFO::Creating boxplot for categorical data, diagnosis vs F330
## 2025-01-28 06:58:56.854896 INFO::Creating boxplot for categorical data, diagnosis vs F344
## 2025-01-28 06:58:56.962075 INFO::Creating boxplot for categorical data, diagnosis vs F696
## 2025-01-28 06:58:57.070529 INFO::Creating boxplot for categorical data, diagnosis vs F741
## 2025-01-28 06:58:57.188212 INFO::Creating boxplot for categorical data, diagnosis vs F509
## 2025-01-28 06:58:57.296055 INFO::Creating boxplot for categorical data, diagnosis vs F479
## 2025-01-28 06:58:57.403634 INFO::Creating boxplot for categorical data, diagnosis vs F550
## 2025-01-28 06:58:57.512707 INFO::Creating boxplot for categorical data, diagnosis vs F640
## 2025-01-28 06:58:57.627744 INFO::Creating boxplot for categorical data, diagnosis vs F281
## 2025-01-28 06:58:57.734109 INFO::Creating boxplot for categorical data, diagnosis vs F80
## 2025-01-28 06:58:57.841543 INFO::Creating boxplot for categorical data, diagnosis vs F285
## 2025-01-28 06:58:57.950115 INFO::Creating boxplot for categorical data, diagnosis vs F531
## 2025-01-28 06:58:58.064327 INFO::Creating boxplot for categorical data, diagnosis vs F737
## 2025-01-28 06:58:58.170691 INFO::Creating boxplot for categorical data, diagnosis vs F875
## 2025-01-28 06:58:58.279236 INFO::Creating boxplot for categorical data, diagnosis vs F864
## 2025-01-28 06:58:58.394639 INFO::Creating boxplot for categorical data, diagnosis vs F379
## 2025-01-28 06:58:58.500477 INFO::Creating boxplot for categorical data, diagnosis vs F190
## 2025-01-28 06:58:58.607747 INFO::Creating boxplot for categorical data, diagnosis vs F4
## 2025-01-28 06:58:58.718065 INFO::Creating boxplot for categorical data, diagnosis vs F591
## 2025-01-28 06:58:58.833987 INFO::Creating boxplot for categorical data, diagnosis vs F773
## 2025-01-28 06:58:58.939569 INFO::Creating boxplot for categorical data, diagnosis vs F283
## 2025-01-28 06:58:59.046994 INFO::Creating boxplot for categorical data, diagnosis vs F233
## 2025-01-28 06:58:59.156984 INFO::Creating boxplot for categorical data, diagnosis vs F420
## 2025-01-28 06:58:59.273381 INFO::Creating boxplot for categorical data, diagnosis vs F5
## 2025-01-28 06:58:59.382711 INFO::Creating boxplot for categorical data, diagnosis vs F137
## 2025-01-28 06:58:59.491129 INFO::Creating boxplot for categorical data, diagnosis vs F215
## 2025-01-28 06:58:59.607914 INFO::Creating boxplot for categorical data, diagnosis vs F489
## 2025-01-28 06:58:59.715144 INFO::Creating boxplot for categorical data, diagnosis vs F220
## 2025-01-28 06:58:59.828021 INFO::Creating boxplot for categorical data, diagnosis vs F691
## 2025-01-28 06:58:59.937403 INFO::Creating boxplot for categorical data, diagnosis vs F381
## 2025-01-28 06:59:00.054779 INFO::Creating boxplot for categorical data, diagnosis vs F539
## 2025-01-28 06:59:00.161936 INFO::Creating boxplot for categorical data, diagnosis vs F490
## 2025-01-28 06:59:00.269685 INFO::Creating boxplot for categorical data, diagnosis vs F832
## 2025-01-28 06:59:00.379344 INFO::Creating boxplot for categorical data, diagnosis vs F396
## 2025-01-28 06:59:00.495316 INFO::Creating boxplot for categorical data, diagnosis vs F528
## 2025-01-28 06:59:00.603849 INFO::Creating boxplot for categorical data, diagnosis vs F234
## 2025-01-28 06:59:00.713624 INFO::Creating boxplot for categorical data, diagnosis vs F178
## 2025-01-28 06:59:00.832889 INFO::Creating boxplot for categorical data, diagnosis vs F761
## 2025-01-28 06:59:00.939661 INFO::Creating boxplot for categorical data, diagnosis vs F2
## 2025-01-28 06:59:01.04764 INFO::Creating boxplot for categorical data, diagnosis vs F260
## 2025-01-28 06:59:01.159414 INFO::Creating boxplot for categorical data, diagnosis vs F734
## 2025-01-28 06:59:01.277511 INFO::Creating boxplot for categorical data, diagnosis vs F429
## 2025-01-28 06:59:01.384296 INFO::Creating boxplot for categorical data, diagnosis vs F630
## 2025-01-28 06:59:01.494551 INFO::Creating boxplot for categorical data, diagnosis vs F817
## 2025-01-28 06:59:01.611791 INFO::Creating boxplot for categorical data, diagnosis vs F847
## 2025-01-28 06:59:01.720257 INFO::Creating boxplot for categorical data, diagnosis vs F896
## 2025-01-28 06:59:01.832029 INFO::Creating boxplot for categorical data, diagnosis vs F81
## 2025-01-28 06:59:01.942829 INFO::Creating boxplot for categorical data, diagnosis vs F110
## 2025-01-28 06:59:02.06111 INFO::Creating boxplot for categorical data, diagnosis vs F3
## 2025-01-28 06:59:02.169385 INFO::Creating boxplot for categorical data, diagnosis vs F33
## 2025-01-28 06:59:02.279181 INFO::Creating boxplot for categorical data, diagnosis vs F270
## 2025-01-28 06:59:02.39595 INFO::Creating boxplot for categorical data, diagnosis vs F278
## 2025-01-28 06:59:02.501575 INFO::Creating boxplot for categorical data, diagnosis vs F264
## 2025-01-28 06:59:02.608773 INFO::Creating boxplot for categorical data, diagnosis vs F90
## 2025-01-28 06:59:02.716735 INFO::Creating boxplot for categorical data, diagnosis vs F403
## 2025-01-28 06:59:02.834958 INFO::Creating boxplot for categorical data, diagnosis vs F727
## 2025-01-28 06:59:02.945165 INFO::Creating boxplot for categorical data, diagnosis vs F394
## 2025-01-28 06:59:03.056961 INFO::Creating boxplot for categorical data, diagnosis vs F800
## 2025-01-28 06:59:03.175158 INFO::Creating boxplot for categorical data, diagnosis vs F439
## 2025-01-28 06:59:03.283806 INFO::Creating boxplot for categorical data, diagnosis vs F554
## 2025-01-28 06:59:03.39392 INFO::Creating boxplot for categorical data, diagnosis vs F559
## 2025-01-28 06:59:03.501878 INFO::Creating boxplot for categorical data, diagnosis vs F548
## 2025-01-28 06:59:03.618328 INFO::Creating boxplot for categorical data, diagnosis vs F794
## 2025-01-28 06:59:03.725952 INFO::Creating boxplot for categorical data, diagnosis vs F45
## 2025-01-28 06:59:03.83488 INFO::Creating boxplot for categorical data, diagnosis vs F158
## 2025-01-28 06:59:03.972396 INFO::Creating boxplot for categorical data, diagnosis vs F477
## 2025-01-28 06:59:04.085489 INFO::Creating boxplot for categorical data, diagnosis vs F1
## 2025-01-28 06:59:04.192609 INFO::Creating boxplot for categorical data, diagnosis vs F862
## 2025-01-28 06:59:04.300312 INFO::Creating boxplot for categorical data, diagnosis vs F803
## 2025-01-28 06:59:04.424671 INFO::Creating boxplot for categorical data, diagnosis vs F751
## 2025-01-28 06:59:04.535456 INFO::Creating boxplot for categorical data, diagnosis vs F98
## 2025-01-28 06:59:04.642968 INFO::Creating boxplot for categorical data, diagnosis vs F22
## 2025-01-28 06:59:04.752126 INFO::Creating boxplot for categorical data, diagnosis vs F625
## 2025-01-28 06:59:04.877248 INFO::Creating boxplot for categorical data, diagnosis vs F206
## 2025-01-28 06:59:04.985233 INFO::Creating boxplot for categorical data, diagnosis vs F779
## 2025-01-28 06:59:05.092476 INFO::Creating boxplot for categorical data, diagnosis vs F532
## 2025-01-28 06:59:05.200896 INFO::Creating boxplot for categorical data, diagnosis vs F676
## 2025-01-28 06:59:05.326025 INFO::Creating boxplot for categorical data, diagnosis vs F644
## 2025-01-28 06:59:05.437276 INFO::Creating boxplot for categorical data, diagnosis vs F7
## 2025-01-28 06:59:05.547544 INFO::Creating boxplot for categorical data, diagnosis vs F596
## 2025-01-28 06:59:05.670097 INFO::Creating boxplot for categorical data, diagnosis vs F250
## 2025-01-28 06:59:05.783106 INFO::Creating boxplot for categorical data, diagnosis vs F462
## 2025-01-28 06:59:05.890126 INFO::Creating boxplot for categorical data, diagnosis vs F516
## 2025-01-28 06:59:05.996715 INFO::Creating boxplot for categorical data, diagnosis vs F659
## 2025-01-28 06:59:06.119668 INFO::Creating boxplot for categorical data, diagnosis vs F663
## 2025-01-28 06:59:06.22953 INFO::Creating boxplot for categorical data, diagnosis vs F837
## 2025-01-28 06:59:06.337495 INFO::Creating boxplot for categorical data, diagnosis vs F138
## 2025-01-28 06:59:06.446969 INFO::Creating boxplot for categorical data, diagnosis vs F445
## 2025-01-28 06:59:06.569901 INFO::Creating boxplot for categorical data, diagnosis vs F697
## 2025-01-28 06:59:06.678491 INFO::Creating boxplot for categorical data, diagnosis vs F225
## 2025-01-28 06:59:06.786717 INFO::Creating boxplot for categorical data, diagnosis vs F148
## 2025-01-28 06:59:06.898287 INFO::Creating boxplot for categorical data, diagnosis vs F448
## 2025-01-28 06:59:07.021115 INFO::Creating boxplot for categorical data, diagnosis vs F91
## 2025-01-28 06:59:07.130762 INFO::Creating boxplot for categorical data, diagnosis vs F123
## 2025-01-28 06:59:07.239866 INFO::Creating boxplot for categorical data, diagnosis vs F665
## 2025-01-28 06:59:07.362563 INFO::Creating boxplot for categorical data, diagnosis vs F845
## 2025-01-28 06:59:07.471493 INFO::Creating boxplot for categorical data, diagnosis vs F331
## 2025-01-28 06:59:07.581408 INFO::Creating boxplot for categorical data, diagnosis vs F361
## 2025-01-28 06:59:07.690635 INFO::Creating boxplot for categorical data, diagnosis vs F421
## 2025-01-28 06:59:07.81486 INFO::Creating boxplot for categorical data, diagnosis vs F277
## 2025-01-28 06:59:07.923423 INFO::Creating boxplot for categorical data, diagnosis vs F307
## 2025-01-28 06:59:08.031866 INFO::Creating boxplot for categorical data, diagnosis vs F503
## 2025-01-28 06:59:08.153339 INFO::Creating boxplot for categorical data, diagnosis vs F34
## 2025-01-28 06:59:08.266799 INFO::Creating boxplot for categorical data, diagnosis vs F649
## 2025-01-28 06:59:08.376914 INFO::Creating boxplot for categorical data, diagnosis vs F825
## 2025-01-28 06:59:08.484897 INFO::Creating boxplot for categorical data, diagnosis vs F298
## 2025-01-28 06:59:08.61281 INFO::Creating boxplot for categorical data, diagnosis vs F461
## 2025-01-28 06:59:08.721784 INFO::Creating boxplot for categorical data, diagnosis vs F242
## 2025-01-28 06:59:08.835472 INFO::Creating boxplot for categorical data, diagnosis vs F375
## 2025-01-28 06:59:08.943576 INFO::Creating boxplot for categorical data, diagnosis vs F648
## 2025-01-28 06:59:09.067521 INFO::Creating boxplot for categorical data, diagnosis vs F724
## 2025-01-28 06:59:09.175184 INFO::Creating boxplot for categorical data, diagnosis vs F678
## 2025-01-28 06:59:09.284689 INFO::Creating boxplot for categorical data, diagnosis vs F290
## 2025-01-28 06:59:09.409867 INFO::Creating boxplot for categorical data, diagnosis vs F743
## 2025-01-28 06:59:09.528733 INFO::Creating boxplot for categorical data, diagnosis vs F495
## 2025-01-28 06:59:09.637805 INFO::Creating boxplot for categorical data, diagnosis vs F261
## 2025-01-28 06:59:09.74815 INFO::Creating boxplot for categorical data, diagnosis vs F43
## 2025-01-28 06:59:09.876576 INFO::Creating boxplot for categorical data, diagnosis vs F714
## 2025-01-28 06:59:09.986036 INFO::Creating boxplot for categorical data, diagnosis vs F131
## 2025-01-28 06:59:10.094592 INFO::Creating boxplot for categorical data, diagnosis vs F150
## 2025-01-28 06:59:10.220085 INFO::Creating boxplot for categorical data, diagnosis vs F651
## 2025-01-28 06:59:10.331777 INFO::Creating boxplot for categorical data, diagnosis vs F798
## 2025-01-28 06:59:10.439255 INFO::Creating boxplot for categorical data, diagnosis vs F289
## 2025-01-28 06:59:10.549987 INFO::Creating boxplot for categorical data, diagnosis vs F661
## 2025-01-28 06:59:10.673568 INFO::Creating boxplot for categorical data, diagnosis vs F199
## 2025-01-28 06:59:10.783455 INFO::Creating boxplot for categorical data, diagnosis vs F406
## 2025-01-28 06:59:10.895841 INFO::Creating boxplot for categorical data, diagnosis vs F139
## 2025-01-28 06:59:11.02163 INFO::Creating boxplot for categorical data, diagnosis vs F506
## 2025-01-28 06:59:11.131835 INFO::Creating boxplot for categorical data, diagnosis vs F552
## 2025-01-28 06:59:11.245123 INFO::Creating boxplot for categorical data, diagnosis vs F94
## 2025-01-28 06:59:11.357514 INFO::Creating boxplot for categorical data, diagnosis vs F430
## 2025-01-28 06:59:11.483972 INFO::Creating boxplot for categorical data, diagnosis vs F639
## 2025-01-28 06:59:11.592487 INFO::Creating boxplot for categorical data, diagnosis vs F500
## 2025-01-28 06:59:11.701411 INFO::Creating boxplot for categorical data, diagnosis vs F609
## 2025-01-28 06:59:11.826416 INFO::Creating boxplot for categorical data, diagnosis vs F306
## 2025-01-28 06:59:11.937971 INFO::Creating boxplot for categorical data, diagnosis vs F507
## 2025-01-28 06:59:12.049809 INFO::Creating boxplot for categorical data, diagnosis vs F671
## 2025-01-28 06:59:12.161519 INFO::Creating boxplot for categorical data, diagnosis vs F894
## 2025-01-28 06:59:12.285399 INFO::Creating boxplot for categorical data, diagnosis vs F345
## 2025-01-28 06:59:12.393386 INFO::Creating boxplot for categorical data, diagnosis vs F801
## 2025-01-28 06:59:12.502603 INFO::Creating boxplot for categorical data, diagnosis vs F194
## 2025-01-28 06:59:13.136772 INFO::Creating boxplot for categorical data, diagnosis vs F195
## 2025-01-28 06:59:13.242961 INFO::Creating boxplot for categorical data, diagnosis vs F119
## 2025-01-28 06:59:13.349566 INFO::Creating boxplot for categorical data, diagnosis vs F120
## 2025-01-28 06:59:13.458313 INFO::Creating boxplot for categorical data, diagnosis vs F231
## 2025-01-28 06:59:13.575474 INFO::Creating boxplot for categorical data, diagnosis vs F311
## 2025-01-28 06:59:13.68116 INFO::Creating boxplot for categorical data, diagnosis vs F646
## 2025-01-28 06:59:13.787548 INFO::Creating boxplot for categorical data, diagnosis vs F814
## 2025-01-28 06:59:13.894482 INFO::Creating boxplot for categorical data, diagnosis vs F510
## 2025-01-28 06:59:14.008746 INFO::Creating boxplot for categorical data, diagnosis vs F398
## 2025-01-28 06:59:14.113674 INFO::Creating boxplot for categorical data, diagnosis vs F60
## 2025-01-28 06:59:14.219444 INFO::Creating boxplot for categorical data, diagnosis vs F153
## 2025-01-28 06:59:14.326954 INFO::Creating boxplot for categorical data, diagnosis vs F858
## 2025-01-28 06:59:14.438896 INFO::Creating boxplot for categorical data, diagnosis vs F775
## 2025-01-28 06:59:14.543644 INFO::Creating boxplot for categorical data, diagnosis vs F684
## 2025-01-28 06:59:14.649046 INFO::Creating boxplot for categorical data, diagnosis vs F384
## 2025-01-28 06:59:14.762702 INFO::Creating boxplot for categorical data, diagnosis vs F134
## 2025-01-28 06:59:14.869133 INFO::Creating boxplot for categorical data, diagnosis vs F670
## 2025-01-28 06:59:14.979859 INFO::Creating boxplot for categorical data, diagnosis vs F632
## 2025-01-28 06:59:15.088434 INFO::Creating boxplot for categorical data, diagnosis vs F721
## 2025-01-28 06:59:15.201298 INFO::Creating boxplot for categorical data, diagnosis vs F700
## 2025-01-28 06:59:15.306196 INFO::Creating boxplot for categorical data, diagnosis vs F376
## 2025-01-28 06:59:15.413415 INFO::Creating boxplot for categorical data, diagnosis vs F301
## 2025-01-28 06:59:15.52098 INFO::Creating boxplot for categorical data, diagnosis vs F27
## 2025-01-28 06:59:15.632239 INFO::Creating boxplot for categorical data, diagnosis vs F280
## 2025-01-28 06:59:15.738199 INFO::Creating boxplot for categorical data, diagnosis vs F391
## 2025-01-28 06:59:15.844674 INFO::Creating boxplot for categorical data, diagnosis vs F725
## 2025-01-28 06:59:15.964393 INFO::Creating boxplot for categorical data, diagnosis vs F186
## 2025-01-28 06:59:16.072136 INFO::Creating boxplot for categorical data, diagnosis vs F481
## 2025-01-28 06:59:16.179782 INFO::Creating boxplot for categorical data, diagnosis vs F333
## 2025-01-28 06:59:16.288394 INFO::Creating boxplot for categorical data, diagnosis vs F720
## 2025-01-28 06:59:16.402269 INFO::Creating boxplot for categorical data, diagnosis vs F520
## 2025-01-28 06:59:16.511268 INFO::Creating boxplot for categorical data, diagnosis vs F129
## 2025-01-28 06:59:16.618152 INFO::Creating boxplot for categorical data, diagnosis vs F204
## 2025-01-28 06:59:16.72721 INFO::Creating boxplot for categorical data, diagnosis vs F259
## 2025-01-28 06:59:16.841488 INFO::Creating boxplot for categorical data, diagnosis vs F831
## 2025-01-28 06:59:16.95323 INFO::Creating boxplot for categorical data, diagnosis vs F891
## 2025-01-28 06:59:17.059783 INFO::Creating boxplot for categorical data, diagnosis vs F262
## 2025-01-28 06:59:17.172963 INFO::Creating boxplot for categorical data, diagnosis vs F592
## 2025-01-28 06:59:17.277146 INFO::Creating boxplot for categorical data, diagnosis vs F343
## 2025-01-28 06:59:17.382734 INFO::Creating boxplot for categorical data, diagnosis vs F505
## 2025-01-28 06:59:17.489966 INFO::Creating boxplot for categorical data, diagnosis vs F622
## 2025-01-28 06:59:17.60493 INFO::Creating boxplot for categorical data, diagnosis vs F348
## 2025-01-28 06:59:17.710679 INFO::Creating boxplot for categorical data, diagnosis vs F133
## 2025-01-28 06:59:17.818789 INFO::Creating boxplot for categorical data, diagnosis vs F371
## 2025-01-28 06:59:17.929559 INFO::Creating boxplot for categorical data, diagnosis vs F113
## 2025-01-28 06:59:18.041863 INFO::Creating boxplot for categorical data, diagnosis vs F336
## 2025-01-28 06:59:18.14701 INFO::Creating boxplot for categorical data, diagnosis vs F399
## 2025-01-28 06:59:18.254208 INFO::Creating boxplot for categorical data, diagnosis vs F416
## 2025-01-28 06:59:18.369639 INFO::Creating boxplot for categorical data, diagnosis vs F657
## 2025-01-28 06:59:18.47529 INFO::Creating boxplot for categorical data, diagnosis vs F241
## 2025-01-28 06:59:18.582042 INFO::Creating boxplot for categorical data, diagnosis vs F95
## 2025-01-28 06:59:18.691538 INFO::Creating boxplot for categorical data, diagnosis vs F128
## 2025-01-28 06:59:18.805383 INFO::Creating boxplot for categorical data, diagnosis vs F595
## 2025-01-28 06:59:18.913758 INFO::Creating boxplot for categorical data, diagnosis vs F428
## 2025-01-28 06:59:19.022631 INFO::Creating boxplot for categorical data, diagnosis vs F796
## 2025-01-28 06:59:19.140487 INFO::Creating boxplot for categorical data, diagnosis vs F709
## 2025-01-28 06:59:19.246978 INFO::Creating boxplot for categorical data, diagnosis vs F602
## 2025-01-28 06:59:19.35438 INFO::Creating boxplot for categorical data, diagnosis vs F293
## 2025-01-28 06:59:19.462416 INFO::Creating boxplot for categorical data, diagnosis vs F867
## 2025-01-28 06:59:19.575979 INFO::Creating boxplot for categorical data, diagnosis vs F108
## 2025-01-28 06:59:19.680855 INFO::Creating boxplot for categorical data, diagnosis vs F846
## 2025-01-28 06:59:19.786766 INFO::Creating boxplot for categorical data, diagnosis vs F633
## 2025-01-28 06:59:19.89469 INFO::Creating boxplot for categorical data, diagnosis vs F564
## 2025-01-28 06:59:20.009486 INFO::Creating boxplot for categorical data, diagnosis vs F183
## 2025-01-28 06:59:20.116824 INFO::Creating boxplot for categorical data, diagnosis vs F647
## 2025-01-28 06:59:20.226369 INFO::Creating boxplot for categorical data, diagnosis vs F288
## 2025-01-28 06:59:20.33984 INFO::Creating boxplot for categorical data, diagnosis vs F159
## 2025-01-28 06:59:20.445615 INFO::Creating boxplot for categorical data, diagnosis vs F638
## 2025-01-28 06:59:20.550346 INFO::Creating boxplot for categorical data, diagnosis vs F484
## 2025-01-28 06:59:20.657422 INFO::Creating boxplot for categorical data, diagnosis vs F20
## 2025-01-28 06:59:20.770515 INFO::Creating boxplot for categorical data, diagnosis vs F19
## 2025-01-28 06:59:20.8786 INFO::Creating boxplot for categorical data, diagnosis vs F897
## 2025-01-28 06:59:20.987781 INFO::Creating boxplot for categorical data, diagnosis vs F442
## 2025-01-28 06:59:21.103202 INFO::Creating boxplot for categorical data, diagnosis vs F372
## 2025-01-28 06:59:21.20898 INFO::Creating boxplot for categorical data, diagnosis vs F771
## 2025-01-28 06:59:21.313754 INFO::Creating boxplot for categorical data, diagnosis vs F370
## 2025-01-28 06:59:21.421788 INFO::Creating boxplot for categorical data, diagnosis vs F620
## 2025-01-28 06:59:21.565536 INFO::Creating boxplot for categorical data, diagnosis vs F753
## 2025-01-28 06:59:21.674648 INFO::Creating boxplot for categorical data, diagnosis vs F568
## 2025-01-28 06:59:21.781869 INFO::Creating boxplot for categorical data, diagnosis vs F312
## 2025-01-28 06:59:21.900362 INFO::Creating boxplot for categorical data, diagnosis vs F485
## 2025-01-28 06:59:22.013175 INFO::Creating boxplot for categorical data, diagnosis vs F627
## 2025-01-28 06:59:22.120962 INFO::Creating boxplot for categorical data, diagnosis vs F72
## 2025-01-28 06:59:22.229449 INFO::Creating boxplot for categorical data, diagnosis vs F575
## 2025-01-28 06:59:22.350981 INFO::Creating boxplot for categorical data, diagnosis vs F332
## 2025-01-28 06:59:22.460539 INFO::Creating boxplot for categorical data, diagnosis vs F674
## 2025-01-28 06:59:22.586266 INFO::Creating boxplot for categorical data, diagnosis vs F537
## 2025-01-28 06:59:22.72015 INFO::Creating boxplot for categorical data, diagnosis vs F839
## 2025-01-28 06:59:22.845047 INFO::Creating boxplot for categorical data, diagnosis vs F715
## 2025-01-28 06:59:22.953694 INFO::Creating boxplot for categorical data, diagnosis vs F768
## 2025-01-28 06:59:23.061857 INFO::Creating boxplot for categorical data, diagnosis vs F202
## 2025-01-28 06:59:23.173654 INFO::Creating boxplot for categorical data, diagnosis vs F756
## 2025-01-28 06:59:23.298352 INFO::Creating boxplot for categorical data, diagnosis vs F536
## 2025-01-28 06:59:23.408559 INFO::Creating boxplot for categorical data, diagnosis vs F677
## 2025-01-28 06:59:23.518075 INFO::Creating boxplot for categorical data, diagnosis vs F435
## 2025-01-28 06:59:23.645066 INFO::Creating boxplot for categorical data, diagnosis vs F574
## 2025-01-28 06:59:23.755636 INFO::Creating boxplot for categorical data, diagnosis vs F70
## 2025-01-28 06:59:23.86437 INFO::Creating boxplot for categorical data, diagnosis vs F146
## 2025-01-28 06:59:23.972303 INFO::Creating boxplot for categorical data, diagnosis vs F236
## 2025-01-28 06:59:24.096898 INFO::Creating boxplot for categorical data, diagnosis vs F527
## 2025-01-28 06:59:24.206476 INFO::Creating boxplot for categorical data, diagnosis vs F624
## 2025-01-28 06:59:24.313828 INFO::Creating boxplot for categorical data, diagnosis vs F426
## 2025-01-28 06:59:24.423212 INFO::Creating boxplot for categorical data, diagnosis vs F880
## 2025-01-28 06:59:24.545958 INFO::Creating boxplot for categorical data, diagnosis vs F549
## 2025-01-28 06:59:24.654784 INFO::Creating boxplot for categorical data, diagnosis vs F49
## 2025-01-28 06:59:24.762991 INFO::Creating boxplot for categorical data, diagnosis vs F67
## 2025-01-28 06:59:24.885374 INFO::Creating boxplot for categorical data, diagnosis vs F491
## 2025-01-28 06:59:24.998132 INFO::Creating boxplot for categorical data, diagnosis vs F174
## 2025-01-28 06:59:25.106652 INFO::Creating boxplot for categorical data, diagnosis vs F254
## 2025-01-28 06:59:25.214942 INFO::Creating boxplot for categorical data, diagnosis vs F112
## 2025-01-28 06:59:25.33682 INFO::Creating boxplot for categorical data, diagnosis vs F235
## 2025-01-28 06:59:25.444354 INFO::Creating boxplot for categorical data, diagnosis vs F833
## 2025-01-28 06:59:25.553117 INFO::Creating boxplot for categorical data, diagnosis vs F752
## 2025-01-28 06:59:25.669949 INFO::Creating boxplot for categorical data, diagnosis vs F792
## 2025-01-28 06:59:25.79316 INFO::Creating boxplot for categorical data, diagnosis vs F422
## 2025-01-28 06:59:25.901298 INFO::Creating boxplot for categorical data, diagnosis vs F6
## 2025-01-28 06:59:26.008592 INFO::Creating boxplot for categorical data, diagnosis vs F463
## 2025-01-28 06:59:26.131855 INFO::Creating boxplot for categorical data, diagnosis vs F706
## 2025-01-28 06:59:26.242687 INFO::Creating boxplot for categorical data, diagnosis vs F642
## 2025-01-28 06:59:26.350844 INFO::Creating boxplot for categorical data, diagnosis vs F65
## 2025-01-28 06:59:26.460791 INFO::Creating boxplot for categorical data, diagnosis vs F102
## 2025-01-28 06:59:26.586047 INFO::Creating boxplot for categorical data, diagnosis vs F783
## 2025-01-28 06:59:26.69209 INFO::Creating boxplot for categorical data, diagnosis vs F478
## 2025-01-28 06:59:26.797752 INFO::Creating boxplot for categorical data, diagnosis vs F889
## 2025-01-28 06:59:26.918329 INFO::Creating boxplot for categorical data, diagnosis vs F350
## 2025-01-28 06:59:27.036333 INFO::Creating boxplot for categorical data, diagnosis vs F681
## 2025-01-28 06:59:27.142941 INFO::Creating boxplot for categorical data, diagnosis vs F748
## 2025-01-28 06:59:27.251345 INFO::Creating boxplot for categorical data, diagnosis vs F762
## 2025-01-28 06:59:27.373285 INFO::Creating boxplot for categorical data, diagnosis vs F852
## 2025-01-28 06:59:27.482426 INFO::Creating boxplot for categorical data, diagnosis vs F180
## 2025-01-28 06:59:27.59229 INFO::Creating boxplot for categorical data, diagnosis vs F248
## 2025-01-28 06:59:27.701232 INFO::Creating boxplot for categorical data, diagnosis vs F759
## 2025-01-28 06:59:27.822945 INFO::Creating boxplot for categorical data, diagnosis vs F824
## 2025-01-28 06:59:27.930913 INFO::Creating boxplot for categorical data, diagnosis vs F145
## 2025-01-28 06:59:28.041214 INFO::Creating boxplot for categorical data, diagnosis vs F16
## 2025-01-28 06:59:28.165346 INFO::Creating boxplot for categorical data, diagnosis vs F169
## 2025-01-28 06:59:28.276764 INFO::Creating boxplot for categorical data, diagnosis vs F392
## 2025-01-28 06:59:28.384436 INFO::Creating boxplot for categorical data, diagnosis vs F468
## 2025-01-28 06:59:28.49465 INFO::Creating boxplot for categorical data, diagnosis vs F476
## 2025-01-28 06:59:28.618581 INFO::Creating boxplot for categorical data, diagnosis vs F699
## 2025-01-28 06:59:28.727254 INFO::Creating boxplot for categorical data, diagnosis vs F735
## 2025-01-28 06:59:28.835415 INFO::Creating boxplot for categorical data, diagnosis vs F182
## 2025-01-28 06:59:28.962406 INFO::Creating boxplot for categorical data, diagnosis vs F64
## 2025-01-28 06:59:29.071284 INFO::Creating boxplot for categorical data, diagnosis vs F203
## 2025-01-28 06:59:29.18037 INFO::Creating boxplot for categorical data, diagnosis vs F877
## 2025-01-28 06:59:29.290687 INFO::Creating boxplot for categorical data, diagnosis vs F433
## 2025-01-28 06:59:29.414456 INFO::Creating boxplot for categorical data, diagnosis vs F739
## 2025-01-28 06:59:29.522655 INFO::Creating boxplot for categorical data, diagnosis vs F749
## 2025-01-28 06:59:29.632465 INFO::Creating boxplot for categorical data, diagnosis vs F382
## 2025-01-28 06:59:29.755606 INFO::Creating boxplot for categorical data, diagnosis vs F162
## 2025-01-28 06:59:29.865521 INFO::Creating boxplot for categorical data, diagnosis vs F438
## 2025-01-28 06:59:29.973011 INFO::Creating boxplot for categorical data, diagnosis vs F360
## 2025-01-28 06:59:30.087982 INFO::Creating boxplot for categorical data, diagnosis vs F56
## 2025-01-28 06:59:30.241232 INFO::Creating boxplot for categorical data, diagnosis vs F529
## 2025-01-28 06:59:30.354187 INFO::Creating boxplot for categorical data, diagnosis vs F48
## 2025-01-28 06:59:30.464097 INFO::Creating boxplot for categorical data, diagnosis vs F826
## 2025-01-28 06:59:30.586948 INFO::Creating boxplot for categorical data, diagnosis vs F488
## 2025-01-28 06:59:30.704737 INFO::Creating boxplot for categorical data, diagnosis vs F309
## 2025-01-28 06:59:30.817074 INFO::Creating boxplot for categorical data, diagnosis vs F834
## 2025-01-28 06:59:30.926865 INFO::Creating boxplot for categorical data, diagnosis vs F449
## 2025-01-28 06:59:31.04817 INFO::Creating boxplot for categorical data, diagnosis vs F77
## 2025-01-28 06:59:31.159768 INFO::Creating boxplot for categorical data, diagnosis vs F365
## 2025-01-28 06:59:31.273344 INFO::Creating boxplot for categorical data, diagnosis vs F346
## 2025-01-28 06:59:31.384313 INFO::Creating boxplot for categorical data, diagnosis vs F654
## 2025-01-28 06:59:31.506592 INFO::Creating boxplot for categorical data, diagnosis vs F79
## 2025-01-28 06:59:31.617983 INFO::Creating boxplot for categorical data, diagnosis vs F785
## 2025-01-28 06:59:31.72556 INFO::Creating boxplot for categorical data, diagnosis vs F415
## 2025-01-28 06:59:31.8328 INFO::Creating boxplot for categorical data, diagnosis vs F466
## 2025-01-28 06:59:31.956721 INFO::Creating boxplot for categorical data, diagnosis vs F643
## 2025-01-28 06:59:32.068727 INFO::Creating boxplot for categorical data, diagnosis vs F160
## 2025-01-28 06:59:32.178191 INFO::Creating boxplot for categorical data, diagnosis vs F69
## 2025-01-28 06:59:32.298328 INFO::Creating boxplot for categorical data, diagnosis vs F498
## 2025-01-28 06:59:32.410187 INFO::Creating boxplot for categorical data, diagnosis vs F207
## 2025-01-28 06:59:32.52021 INFO::Creating boxplot for categorical data, diagnosis vs F679
## 2025-01-28 06:59:32.633909 INFO::Creating boxplot for categorical data, diagnosis vs F618
## 2025-01-28 06:59:32.757098 INFO::Creating boxplot for categorical data, diagnosis vs F255
## 2025-01-28 06:59:32.870624 INFO::Creating boxplot for categorical data, diagnosis vs F267
## 2025-01-28 06:59:32.980334 INFO::Creating boxplot for categorical data, diagnosis vs F143
## 2025-01-28 06:59:33.089769 INFO::Creating boxplot for categorical data, diagnosis vs F286
## 2025-01-28 06:59:33.211198 INFO::Creating boxplot for categorical data, diagnosis vs F562
## 2025-01-28 06:59:33.321649 INFO::Creating boxplot for categorical data, diagnosis vs F100
## 2025-01-28 06:59:33.434858 INFO::Creating boxplot for categorical data, diagnosis vs F374
## 2025-01-28 06:59:33.560498 INFO::Creating boxplot for categorical data, diagnosis vs F535
## 2025-01-28 06:59:33.674681 INFO::Creating boxplot for categorical data, diagnosis vs F658
## 2025-01-28 06:59:33.783857 INFO::Creating boxplot for categorical data, diagnosis vs F707
## 2025-01-28 06:59:33.891866 INFO::Creating boxplot for categorical data, diagnosis vs F325
## 2025-01-28 06:59:34.013514 INFO::Creating boxplot for categorical data, diagnosis vs F89
## 2025-01-28 06:59:34.124035 INFO::Creating boxplot for categorical data, diagnosis vs F214
## 2025-01-28 06:59:34.231075 INFO::Creating boxplot for categorical data, diagnosis vs F578
## 2025-01-28 06:59:34.34064 INFO::Creating boxplot for categorical data, diagnosis vs F790
## 2025-01-28 06:59:34.465414 INFO::Creating boxplot for categorical data, diagnosis vs F265
## 2025-01-28 06:59:34.577697 INFO::Creating boxplot for categorical data, diagnosis vs F253
## 2025-01-28 06:59:34.686979 INFO::Creating boxplot for categorical data, diagnosis vs F294
## 2025-01-28 06:59:34.807977 INFO::Creating boxplot for categorical data, diagnosis vs F410
## 2025-01-28 06:59:34.921062 INFO::Creating boxplot for categorical data, diagnosis vs F614
## 2025-01-28 06:59:35.027794 INFO::Creating boxplot for categorical data, diagnosis vs F764
## 2025-01-28 06:59:35.139408 INFO::Creating boxplot for categorical data, diagnosis vs F59
## 2025-01-28 06:59:35.260593 INFO::Creating boxplot for categorical data, diagnosis vs F675
## 2025-01-28 06:59:35.372478 INFO::Creating boxplot for categorical data, diagnosis vs F441
## 2025-01-28 06:59:35.483257 INFO::Creating boxplot for categorical data, diagnosis vs F193
## 2025-01-28 06:59:35.606009 INFO::Creating boxplot for categorical data, diagnosis vs F689
## 2025-01-28 06:59:35.71791 INFO::Creating boxplot for categorical data, diagnosis vs F249
## 2025-01-28 06:59:35.826216 INFO::Creating boxplot for categorical data, diagnosis vs F821
## 2025-01-28 06:59:35.937992 INFO::Creating boxplot for categorical data, diagnosis vs F351
## 2025-01-28 06:59:36.059504 INFO::Creating boxplot for categorical data, diagnosis vs F66
## 2025-01-28 06:59:36.171202 INFO::Creating boxplot for categorical data, diagnosis vs F413
## 2025-01-28 06:59:36.280513 INFO::Creating boxplot for categorical data, diagnosis vs F172
## 2025-01-28 06:59:36.402155 INFO::Creating boxplot for categorical data, diagnosis vs F317
## 2025-01-28 06:59:36.517599 INFO::Creating boxplot for categorical data, diagnosis vs F167
## 2025-01-28 06:59:36.629807 INFO::Creating boxplot for categorical data, diagnosis vs F229
## 2025-01-28 06:59:36.738855 INFO::Creating boxplot for categorical data, diagnosis vs F243
## 2025-01-28 06:59:36.863245 INFO::Creating boxplot for categorical data, diagnosis vs F732
## 2025-01-28 06:59:36.97535 INFO::Creating boxplot for categorical data, diagnosis vs F467
## 2025-01-28 06:59:37.088533 INFO::Creating boxplot for categorical data, diagnosis vs F474
## 2025-01-28 06:59:37.213967 INFO::Creating boxplot for categorical data, diagnosis vs F156
## 2025-01-28 06:59:37.330318 INFO::Creating boxplot for categorical data, diagnosis vs F786
## 2025-01-28 06:59:37.438713 INFO::Creating boxplot for categorical data, diagnosis vs F216
## 2025-01-28 06:59:37.546992 INFO::Creating boxplot for categorical data, diagnosis vs F85
## 2025-01-28 06:59:37.669575 INFO::Creating boxplot for categorical data, diagnosis vs F621
## 2025-01-28 06:59:37.780293 INFO::Creating boxplot for categorical data, diagnosis vs F558
## 2025-01-28 06:59:37.888839 INFO::Creating boxplot for categorical data, diagnosis vs F582
## 2025-01-28 06:59:37.997552 INFO::Creating boxplot for categorical data, diagnosis vs F898
## 2025-01-28 06:59:38.12435 INFO::Creating boxplot for categorical data, diagnosis vs F402
## 2025-01-28 06:59:38.236125 INFO::Creating boxplot for categorical data, diagnosis vs F71
## 2025-01-28 06:59:38.344675 INFO::Creating boxplot for categorical data, diagnosis vs F99
## 2025-01-28 06:59:38.468508 INFO::Creating boxplot for categorical data, diagnosis vs F366
## 2025-01-28 06:59:38.578709 INFO::Creating boxplot for categorical data, diagnosis vs F778
## 2025-01-28 06:59:38.686314 INFO::Creating boxplot for categorical data, diagnosis vs F188
## 2025-01-28 06:59:38.827574 INFO::Creating boxplot for categorical data, diagnosis vs F857
## 2025-01-28 06:59:38.947407 INFO::Creating boxplot for categorical data, diagnosis vs F440
## 2025-01-28 06:59:39.059317 INFO::Creating boxplot for categorical data, diagnosis vs F799
## 2025-01-28 06:59:39.170799 INFO::Creating boxplot for categorical data, diagnosis vs F482
## 2025-01-28 06:59:39.296148 INFO::Creating boxplot for categorical data, diagnosis vs F212
## 2025-01-28 06:59:39.406543 INFO::Creating boxplot for categorical data, diagnosis vs F882
## 2025-01-28 06:59:39.51834 INFO::Creating boxplot for categorical data, diagnosis vs F599
## 2025-01-28 06:59:39.629062 INFO::Creating boxplot for categorical data, diagnosis vs F302
## 2025-01-28 06:59:39.755399 INFO::Creating boxplot for categorical data, diagnosis vs F543
## 2025-01-28 06:59:39.867084 INFO::Creating boxplot for categorical data, diagnosis vs F269
## 2025-01-28 06:59:39.979238 INFO::Creating boxplot for categorical data, diagnosis vs F650
## 2025-01-28 06:59:40.088438 INFO::Creating boxplot for categorical data, diagnosis vs F456
## 2025-01-28 06:59:40.215706 INFO::Creating boxplot for categorical data, diagnosis vs F573
## 2025-01-28 06:59:40.328041 INFO::Creating boxplot for categorical data, diagnosis vs F8
## 2025-01-28 06:59:40.440677 INFO::Creating boxplot for categorical data, diagnosis vs F810
## 2025-01-28 06:59:40.565536 INFO::Creating boxplot for categorical data, diagnosis vs F401
## 2025-01-28 06:59:40.680439 INFO::Creating boxplot for categorical data, diagnosis vs F606
## 2025-01-28 06:59:40.791353 INFO::Creating boxplot for categorical data, diagnosis vs F662
## 2025-01-28 06:59:40.903307 INFO::Creating boxplot for categorical data, diagnosis vs F765
## 2025-01-28 06:59:41.032631 INFO::Creating boxplot for categorical data, diagnosis vs F887
## 2025-01-28 06:59:41.146439 INFO::Creating boxplot for categorical data, diagnosis vs F770
## 2025-01-28 06:59:41.262151 INFO::Creating boxplot for categorical data, diagnosis vs F469
## 2025-01-28 06:59:41.375093 INFO::Creating boxplot for categorical data, diagnosis vs F86
## 2025-01-28 06:59:41.50928 INFO::Creating boxplot for categorical data, diagnosis vs F400
## 2025-01-28 06:59:41.623142 INFO::Creating boxplot for categorical data, diagnosis vs F579
## 2025-01-28 06:59:41.734255 INFO::Creating boxplot for categorical data, diagnosis vs F871
## 2025-01-28 06:59:41.859886 INFO::Creating boxplot for categorical data, diagnosis vs F37
## 2025-01-28 06:59:41.975624 INFO::Creating boxplot for categorical data, diagnosis vs F446
## 2025-01-28 06:59:42.088785 INFO::Creating boxplot for categorical data, diagnosis vs F218
## 2025-01-28 06:59:42.201452 INFO::Creating boxplot for categorical data, diagnosis vs F321
## 2025-01-28 06:59:42.332118 INFO::Creating boxplot for categorical data, diagnosis vs F487
## 2025-01-28 06:59:42.444829 INFO::Creating boxplot for categorical data, diagnosis vs F740
## 2025-01-28 06:59:42.556577 INFO::Creating boxplot for categorical data, diagnosis vs F141
## 2025-01-28 06:59:42.666424 INFO::Creating boxplot for categorical data, diagnosis vs F327
## 2025-01-28 06:59:42.796938 INFO::Creating boxplot for categorical data, diagnosis vs F196
## 2025-01-28 06:59:42.91117 INFO::Creating boxplot for categorical data, diagnosis vs F883
## 2025-01-28 06:59:43.023198 INFO::Creating boxplot for categorical data, diagnosis vs F279
## 2025-01-28 06:59:43.153148 INFO::Creating boxplot for categorical data, diagnosis vs F838
## 2025-01-28 06:59:43.269483 INFO::Creating boxplot for categorical data, diagnosis vs F451
## 2025-01-28 06:59:43.382123 INFO::Creating boxplot for categorical data, diagnosis vs F854
## 2025-01-28 06:59:43.490854 INFO::Creating boxplot for categorical data, diagnosis vs F434
## 2025-01-28 06:59:43.620692 INFO::Creating boxplot for categorical data, diagnosis vs F519
## 2025-01-28 06:59:43.731455 INFO::Creating boxplot for categorical data, diagnosis vs F694
## 2025-01-28 06:59:43.84386 INFO::Creating boxplot for categorical data, diagnosis vs F561
## 2025-01-28 06:59:43.969337 INFO::Creating boxplot for categorical data, diagnosis vs F10
## 2025-01-28 06:59:44.089304 INFO::Creating boxplot for categorical data, diagnosis vs F303
## 2025-01-28 06:59:44.200418 INFO::Creating boxplot for categorical data, diagnosis vs F512
## 2025-01-28 06:59:44.313183 INFO::Creating boxplot for categorical data, diagnosis vs F645
## 2025-01-28 06:59:44.442017 INFO::Creating boxplot for categorical data, diagnosis vs F793
## 2025-01-28 06:59:44.557078 INFO::Creating boxplot for categorical data, diagnosis vs F404
## 2025-01-28 06:59:44.672251 INFO::Creating boxplot for categorical data, diagnosis vs F362
## 2025-01-28 06:59:44.787662 INFO::Creating boxplot for categorical data, diagnosis vs F525
## 2025-01-28 06:59:44.920369 INFO::Creating boxplot for categorical data, diagnosis vs F742
## 2025-01-28 06:59:45.03235 INFO::Creating boxplot for categorical data, diagnosis vs F276
## 2025-01-28 06:59:45.143749 INFO::Creating boxplot for categorical data, diagnosis vs F499
## 2025-01-28 06:59:45.273872 INFO::Creating boxplot for categorical data, diagnosis vs F328
## 2025-01-28 06:59:45.389939 INFO::Creating boxplot for categorical data, diagnosis vs F787
## 2025-01-28 06:59:45.503129 INFO::Creating boxplot for categorical data, diagnosis vs F30
## 2025-01-28 06:59:45.618198 INFO::Creating boxplot for categorical data, diagnosis vs F122
## 2025-01-28 06:59:45.757637 INFO::Creating boxplot for categorical data, diagnosis vs F619
## 2025-01-28 06:59:45.87396 INFO::Creating boxplot for categorical data, diagnosis vs F572
## 2025-01-28 06:59:45.986626 INFO::Creating boxplot for categorical data, diagnosis vs F47
## 2025-01-28 06:59:46.117477 INFO::Creating boxplot for categorical data, diagnosis vs F570
## 2025-01-28 06:59:46.23052 INFO::Creating boxplot for categorical data, diagnosis vs F26
## 2025-01-28 06:59:46.345135 INFO::Creating boxplot for categorical data, diagnosis vs F252
## 2025-01-28 06:59:46.456916 INFO::Creating boxplot for categorical data, diagnosis vs F117
## 2025-01-28 06:59:46.587243 INFO::Creating boxplot for categorical data, diagnosis vs F683
## 2025-01-28 06:59:46.69897 INFO::Creating boxplot for categorical data, diagnosis vs F395
## 2025-01-28 06:59:46.810631 INFO::Creating boxplot for categorical data, diagnosis vs F822
## 2025-01-28 06:59:46.940552 INFO::Creating boxplot for categorical data, diagnosis vs F46
## 2025-01-28 06:59:47.05229 INFO::Creating boxplot for categorical data, diagnosis vs F154
## 2025-01-28 06:59:47.167039 INFO::Creating boxplot for categorical data, diagnosis vs F540
## 2025-01-28 06:59:47.279912 INFO::Creating boxplot for categorical data, diagnosis vs F884
## 2025-01-28 06:59:47.410279 INFO::Creating boxplot for categorical data, diagnosis vs F368
## 2025-01-28 06:59:47.523319 INFO::Creating boxplot for categorical data, diagnosis vs F607
## 2025-01-28 06:59:47.637236 INFO::Creating boxplot for categorical data, diagnosis vs F111
## 2025-01-28 06:59:47.797122 INFO::Creating boxplot for categorical data, diagnosis vs F745
## 2025-01-28 06:59:47.910242 INFO::Creating boxplot for categorical data, diagnosis vs F673
## 2025-01-28 06:59:48.02483 INFO::Creating boxplot for categorical data, diagnosis vs F92
## 2025-01-28 06:59:48.139479 INFO::Creating boxplot for categorical data, diagnosis vs F493
## 2025-01-28 06:59:48.267837 INFO::Creating boxplot for categorical data, diagnosis vs F835
## 2025-01-28 06:59:48.384095 INFO::Creating boxplot for categorical data, diagnosis vs F872
## 2025-01-28 06:59:48.49814 INFO::Creating boxplot for categorical data, diagnosis vs F879
## 2025-01-28 06:59:48.620021 INFO::Creating boxplot for categorical data, diagnosis vs F432
## 2025-01-28 06:59:48.735877 INFO::Creating boxplot for categorical data, diagnosis vs F518
## 2025-01-28 06:59:48.846667 INFO::Creating boxplot for categorical data, diagnosis vs F44
## 2025-01-28 06:59:48.959388 INFO::Creating boxplot for categorical data, diagnosis vs F240
## 2025-01-28 06:59:49.113825 INFO::Creating boxplot for categorical data, diagnosis vs F819
## 2025-01-28 06:59:49.227479 INFO::Creating boxplot for categorical data, diagnosis vs F411
## 2025-01-28 06:59:49.346414 INFO::Creating boxplot for categorical data, diagnosis vs F353
## 2025-01-28 06:59:49.460881 INFO::Creating boxplot for categorical data, diagnosis vs F763
## 2025-01-28 06:59:49.587829 INFO::Creating boxplot for categorical data, diagnosis vs F97
## 2025-01-28 06:59:49.698516 INFO::Creating boxplot for categorical data, diagnosis vs F40
## 2025-01-28 06:59:49.811651 INFO::Creating boxplot for categorical data, diagnosis vs F652
## 2025-01-28 06:59:49.933916 INFO::Creating boxplot for categorical data, diagnosis vs F789
## 2025-01-28 06:59:50.055203 INFO::Creating boxplot for categorical data, diagnosis vs F25
## 2025-01-28 06:59:50.167219 INFO::Creating boxplot for categorical data, diagnosis vs F256
## 2025-01-28 06:59:50.281612 INFO::Creating boxplot for categorical data, diagnosis vs F423
## 2025-01-28 06:59:50.409786 INFO::Creating boxplot for categorical data, diagnosis vs F594
## 2025-01-28 06:59:50.521998 INFO::Creating boxplot for categorical data, diagnosis vs F201
## 2025-01-28 06:59:50.634427 INFO::Creating boxplot for categorical data, diagnosis vs F813
## 2025-01-28 06:59:50.747855 INFO::Creating boxplot for categorical data, diagnosis vs F653
## 2025-01-28 06:59:50.874918 INFO::Creating boxplot for categorical data, diagnosis vs F524
## 2025-01-28 06:59:50.987226 INFO::Creating boxplot for categorical data, diagnosis vs F777
## 2025-01-28 06:59:51.103715 INFO::Creating boxplot for categorical data, diagnosis vs F226
## 2025-01-28 06:59:51.232165 INFO::Creating boxplot for categorical data, diagnosis vs F227
## 2025-01-28 06:59:51.348464 INFO::Creating boxplot for categorical data, diagnosis vs F521
## 2025-01-28 06:59:51.460849 INFO::Creating boxplot for categorical data, diagnosis vs F14
## 2025-01-28 06:59:51.57439 INFO::Creating boxplot for categorical data, diagnosis vs F310
## 2025-01-28 06:59:51.702222 INFO::Creating boxplot for categorical data, diagnosis vs F452
## 2025-01-28 06:59:51.815317 INFO::Creating boxplot for categorical data, diagnosis vs F52
## 2025-01-28 06:59:51.929122 INFO::Creating boxplot for categorical data, diagnosis vs F53
## 2025-01-28 06:59:52.041684 INFO::Creating boxplot for categorical data, diagnosis vs F844
## 2025-01-28 06:59:52.172607 INFO::Creating boxplot for categorical data, diagnosis vs F31
## 2025-01-28 06:59:52.285201 INFO::Creating boxplot for categorical data, diagnosis vs F795
## 2025-01-28 06:59:52.401392 INFO::Creating boxplot for categorical data, diagnosis vs F766
## 2025-01-28 06:59:52.533823 INFO::Creating boxplot for categorical data, diagnosis vs F342
## 2025-01-28 06:59:52.65041 INFO::Creating boxplot for categorical data, diagnosis vs F408
## 2025-01-28 06:59:52.767315 INFO::Creating boxplot for categorical data, diagnosis vs F282
## 2025-01-28 06:59:52.878093 INFO::Creating boxplot for categorical data, diagnosis vs F508
## 2025-01-28 06:59:53.006411 INFO::Creating boxplot for categorical data, diagnosis vs F805
## 2025-01-28 06:59:53.119534 INFO::Creating boxplot for categorical data, diagnosis vs F337
## 2025-01-28 06:59:53.234715 INFO::Creating boxplot for categorical data, diagnosis vs F820
## 2025-01-28 06:59:53.360718 INFO::Creating boxplot for categorical data, diagnosis vs F593
## 2025-01-28 06:59:53.479491 INFO::Creating boxplot for categorical data, diagnosis vs F701
## 2025-01-28 06:59:53.596787 INFO::Creating boxplot for categorical data, diagnosis vs F459
## 2025-01-28 06:59:53.710004 INFO::Creating boxplot for categorical data, diagnosis vs F305
## 2025-01-28 06:59:53.840067 INFO::Creating boxplot for categorical data, diagnosis vs F142
## 2025-01-28 06:59:53.954456 INFO::Creating boxplot for categorical data, diagnosis vs F534
## 2025-01-28 06:59:54.068169 INFO::Creating boxplot for categorical data, diagnosis vs F135
## 2025-01-28 06:59:54.1957 INFO::Creating boxplot for categorical data, diagnosis vs F702
## 2025-01-28 06:59:54.308295 INFO::Creating boxplot for categorical data, diagnosis vs F776
## 2025-01-28 06:59:54.42529 INFO::Creating boxplot for categorical data, diagnosis vs F295
## 2025-01-28 06:59:54.545631 INFO::Creating boxplot for categorical data, diagnosis vs F355
## 2025-01-28 06:59:54.678643 INFO::Creating boxplot for categorical data, diagnosis vs F797
## 2025-01-28 06:59:54.792628 INFO::Creating boxplot for categorical data, diagnosis vs F13
## 2025-01-28 06:59:54.905967 INFO::Creating boxplot for categorical data, diagnosis vs F356
## 2025-01-28 06:59:55.034692 INFO::Creating boxplot for categorical data, diagnosis vs F359
## 2025-01-28 06:59:55.146743 INFO::Creating boxplot for categorical data, diagnosis vs F121
## 2025-01-28 06:59:55.258921 INFO::Creating boxplot for categorical data, diagnosis vs F850
## 2025-01-28 06:59:55.371731 INFO::Creating boxplot for categorical data, diagnosis vs F899
## 2025-01-28 06:59:55.503141 INFO::Creating boxplot for categorical data, diagnosis vs F628
## 2025-01-28 06:59:55.614418 INFO::Creating boxplot for categorical data, diagnosis vs F843
## 2025-01-28 06:59:55.727059 INFO::Creating boxplot for categorical data, diagnosis vs F107
## 2025-01-28 06:59:55.852331 INFO::Creating boxplot for categorical data, diagnosis vs F287
## 2025-01-28 06:59:55.966785 INFO::Creating boxplot for categorical data, diagnosis vs F165
## 2025-01-28 06:59:56.077931 INFO::Creating boxplot for categorical data, diagnosis vs F557
## 2025-01-28 06:59:56.190638 INFO::Creating boxplot for categorical data, diagnosis vs F127
## 2025-01-28 06:59:56.317231 INFO::Creating boxplot for categorical data, diagnosis vs F299
## 2025-01-28 06:59:56.435753 INFO::Creating boxplot for categorical data, diagnosis vs F497
## 2025-01-28 06:59:56.549541 INFO::Creating boxplot for categorical data, diagnosis vs F711
## 2025-01-28 06:59:56.706951 INFO::Creating boxplot for categorical data, diagnosis vs F319
## 2025-01-28 06:59:56.818321 INFO::Creating boxplot for categorical data, diagnosis vs F271
## 2025-01-28 06:59:56.930078 INFO::Creating boxplot for categorical data, diagnosis vs F157
## 2025-01-28 06:59:57.043077 INFO::Creating boxplot for categorical data, diagnosis vs F560
## 2025-01-28 06:59:57.179464 INFO::Creating boxplot for categorical data, diagnosis vs F680
## 2025-01-28 06:59:57.292047 INFO::Creating boxplot for categorical data, diagnosis vs F580
## 2025-01-28 06:59:57.406352 INFO::Creating boxplot for categorical data, diagnosis vs F152
## 2025-01-28 06:59:57.519748 INFO::Creating boxplot for categorical data, diagnosis vs F12
## 2025-01-28 06:59:57.654369 INFO::Creating boxplot for categorical data, diagnosis vs F324
## 2025-01-28 06:59:57.76696 INFO::Creating boxplot for categorical data, diagnosis vs F893
## 2025-01-28 06:59:57.882152 INFO::Creating boxplot for categorical data, diagnosis vs F318
## 2025-01-28 06:59:58.01933 INFO::Creating boxplot for categorical data, diagnosis vs F784
## 2025-01-28 06:59:58.13722 INFO::Creating boxplot for categorical data, diagnosis vs F567
## 2025-01-28 06:59:58.250562 INFO::Creating boxplot for categorical data, diagnosis vs F457
## 2025-01-28 06:59:58.365006 INFO::Creating boxplot for categorical data, diagnosis vs F708
## 2025-01-28 06:59:58.503712 INFO::Creating boxplot for categorical data, diagnosis vs F669
## 2025-01-28 06:59:58.615991 INFO::Creating boxplot for categorical data, diagnosis vs F87
## 2025-01-28 07:00:00.168895 INFO::Plotting data for metadata number 2, antibiotics
## 2025-01-28 07:00:00.170166 INFO::Creating boxplot for categorical data, antibiotics vs F663
## 2025-01-28 07:00:00.288914 INFO::Creating boxplot for categorical data, antibiotics vs F838
## 2025-01-28 07:00:00.413265 INFO::Creating boxplot for categorical data, antibiotics vs F764
## 2025-01-28 07:00:00.538959 INFO::Creating boxplot for categorical data, antibiotics vs F880
## 2025-01-28 07:00:00.685464 INFO::Creating boxplot for categorical data, antibiotics vs F751
## 2025-01-28 07:00:00.805796 INFO::Creating boxplot for categorical data, antibiotics vs F288
## 2025-01-28 07:00:00.927313 INFO::Creating boxplot for categorical data, antibiotics vs F65
## 2025-01-28 07:00:01.069264 INFO::Creating boxplot for categorical data, antibiotics vs F742
## 2025-01-28 07:00:01.189917 INFO::Creating boxplot for categorical data, antibiotics vs F528
## 2025-01-28 07:00:01.312121 INFO::Creating boxplot for categorical data, antibiotics vs F790
## 2025-01-28 07:00:01.455942 INFO::Creating boxplot for categorical data, antibiotics vs F777
## 2025-01-28 07:00:01.584557 INFO::Creating boxplot for categorical data, antibiotics vs F178
## 2025-01-28 07:00:01.710479 INFO::Creating boxplot for categorical data, antibiotics vs F139
## 2025-01-28 07:00:01.834532 INFO::Creating boxplot for categorical data, antibiotics vs F202
## 2025-01-28 07:00:01.978857 INFO::Creating boxplot for categorical data, antibiotics vs F220
## 2025-01-28 07:00:02.102543 INFO::Creating boxplot for categorical data, antibiotics vs F397
## 2025-01-28 07:00:02.230591 INFO::Creating boxplot for categorical data, antibiotics vs F882
## 2025-01-28 07:00:02.37414 INFO::Creating boxplot for categorical data, antibiotics vs F446
## 2025-01-28 07:00:02.495513 INFO::Creating boxplot for categorical data, antibiotics vs F418
## 2025-01-28 07:00:02.616828 INFO::Creating boxplot for categorical data, antibiotics vs F133
## 2025-01-28 07:00:02.762182 INFO::Creating boxplot for categorical data, antibiotics vs F696
## 2025-01-28 07:00:02.886295 INFO::Creating boxplot for categorical data, antibiotics vs F548
## 2025-01-28 07:00:03.009476 INFO::Creating boxplot for categorical data, antibiotics vs F536
## 2025-01-28 07:00:03.13428 INFO::Creating boxplot for categorical data, antibiotics vs F194
## 2025-01-28 07:00:03.276184 INFO::Creating boxplot for categorical data, antibiotics vs F34
## 2025-01-28 07:00:03.395658 INFO::Creating boxplot for categorical data, antibiotics vs F153
## 2025-01-28 07:00:03.517588 INFO::Creating boxplot for categorical data, antibiotics vs F400
## 2025-01-28 07:00:03.658848 INFO::Creating boxplot for categorical data, antibiotics vs F794
## 2025-01-28 07:00:03.778836 INFO::Creating boxplot for categorical data, antibiotics vs F396
## 2025-01-28 07:00:03.900023 INFO::Creating boxplot for categorical data, antibiotics vs F182
## 2025-01-28 07:00:04.045291 INFO::Creating boxplot for categorical data, antibiotics vs F719
## 2025-01-28 07:00:04.167132 INFO::Creating boxplot for categorical data, antibiotics vs F109
## 2025-01-28 07:00:04.287895 INFO::Creating boxplot for categorical data, antibiotics vs F180
## 2025-01-28 07:00:04.423053 INFO::Creating boxplot for categorical data, antibiotics vs F552
## 2025-01-28 07:00:04.553265 INFO::Creating boxplot for categorical data, antibiotics vs F789
## 2025-01-28 07:00:04.674765 INFO::Creating boxplot for categorical data, antibiotics vs F893
## 2025-01-28 07:00:04.797698 INFO::Creating boxplot for categorical data, antibiotics vs F834
## 2025-01-28 07:00:04.942185 INFO::Creating boxplot for categorical data, antibiotics vs F889
## 2025-01-28 07:00:05.066131 INFO::Creating boxplot for categorical data, antibiotics vs F143
## 2025-01-28 07:00:05.189209 INFO::Creating boxplot for categorical data, antibiotics vs F224
## 2025-01-28 07:00:05.332917 INFO::Creating boxplot for categorical data, antibiotics vs F5
## 2025-01-28 07:00:05.452743 INFO::Creating boxplot for categorical data, antibiotics vs F873
## 2025-01-28 07:00:05.575819 INFO::Creating boxplot for categorical data, antibiotics vs F452
## 2025-01-28 07:00:05.719099 INFO::Creating boxplot for categorical data, antibiotics vs F681
## 2025-01-28 07:00:05.841775 INFO::Creating boxplot for categorical data, antibiotics vs F468
## 2025-01-28 07:00:05.965658 INFO::Creating boxplot for categorical data, antibiotics vs F731
## 2025-01-28 07:00:06.619147 INFO::Creating boxplot for categorical data, antibiotics vs F479
## 2025-01-28 07:00:06.732937 INFO::Creating boxplot for categorical data, antibiotics vs F520
## 2025-01-28 07:00:06.848981 INFO::Creating boxplot for categorical data, antibiotics vs F649
## 2025-01-28 07:00:06.966929 INFO::Creating boxplot for categorical data, antibiotics vs F259
## 2025-01-28 07:00:07.088752 INFO::Creating boxplot for categorical data, antibiotics vs F186
## 2025-01-28 07:00:07.202972 INFO::Creating boxplot for categorical data, antibiotics vs F312
## 2025-01-28 07:00:07.320609 INFO::Creating boxplot for categorical data, antibiotics vs F477
## 2025-01-28 07:00:07.444519 INFO::Creating boxplot for categorical data, antibiotics vs F4
## 2025-01-28 07:00:07.559095 INFO::Creating boxplot for categorical data, antibiotics vs F632
## 2025-01-28 07:00:07.673417 INFO::Creating boxplot for categorical data, antibiotics vs F31
## 2025-01-28 07:00:07.78881 INFO::Creating boxplot for categorical data, antibiotics vs F184
## 2025-01-28 07:00:07.909722 INFO::Creating boxplot for categorical data, antibiotics vs F7
## 2025-01-28 07:00:08.022368 INFO::Creating boxplot for categorical data, antibiotics vs F213
## 2025-01-28 07:00:08.136192 INFO::Creating boxplot for categorical data, antibiotics vs F691
## 2025-01-28 07:00:08.256593 INFO::Creating boxplot for categorical data, antibiotics vs F828
## 2025-01-28 07:00:08.370217 INFO::Creating boxplot for categorical data, antibiotics vs F831
## 2025-01-28 07:00:08.484128 INFO::Creating boxplot for categorical data, antibiotics vs F315
## 2025-01-28 07:00:08.59847 INFO::Creating boxplot for categorical data, antibiotics vs F159
## 2025-01-28 07:00:08.717886 INFO::Creating boxplot for categorical data, antibiotics vs F331
## 2025-01-28 07:00:08.832673 INFO::Creating boxplot for categorical data, antibiotics vs F757
## 2025-01-28 07:00:08.957169 INFO::Creating boxplot for categorical data, antibiotics vs F167
## 2025-01-28 07:00:09.091611 INFO::Creating boxplot for categorical data, antibiotics vs F85
## 2025-01-28 07:00:09.203289 INFO::Creating boxplot for categorical data, antibiotics vs F80
## 2025-01-28 07:00:09.315773 INFO::Creating boxplot for categorical data, antibiotics vs F105
## 2025-01-28 07:00:09.430721 INFO::Creating boxplot for categorical data, antibiotics vs F674
## 2025-01-28 07:00:09.550699 INFO::Creating boxplot for categorical data, antibiotics vs F50
## 2025-01-28 07:00:09.663206 INFO::Creating boxplot for categorical data, antibiotics vs F164
## 2025-01-28 07:00:09.776812 INFO::Creating boxplot for categorical data, antibiotics vs F840
## 2025-01-28 07:00:09.897104 INFO::Creating boxplot for categorical data, antibiotics vs F232
## 2025-01-28 07:00:10.011153 INFO::Creating boxplot for categorical data, antibiotics vs F872
## 2025-01-28 07:00:10.125791 INFO::Creating boxplot for categorical data, antibiotics vs F54
## 2025-01-28 07:00:10.250168 INFO::Creating boxplot for categorical data, antibiotics vs F365
## 2025-01-28 07:00:10.367363 INFO::Creating boxplot for categorical data, antibiotics vs F499
## 2025-01-28 07:00:10.484833 INFO::Creating boxplot for categorical data, antibiotics vs F510
## 2025-01-28 07:00:10.604142 INFO::Creating boxplot for categorical data, antibiotics vs F716
## 2025-01-28 07:00:10.726764 INFO::Creating boxplot for categorical data, antibiotics vs F454
## 2025-01-28 07:00:10.84339 INFO::Creating boxplot for categorical data, antibiotics vs F52
## 2025-01-28 07:00:10.959255 INFO::Creating boxplot for categorical data, antibiotics vs F273
## 2025-01-28 07:00:11.081724 INFO::Creating boxplot for categorical data, antibiotics vs F474
## 2025-01-28 07:00:11.195156 INFO::Creating boxplot for categorical data, antibiotics vs F267
## 2025-01-28 07:00:11.312231 INFO::Creating boxplot for categorical data, antibiotics vs F253
## 2025-01-28 07:00:11.436629 INFO::Creating boxplot for categorical data, antibiotics vs F247
## 2025-01-28 07:00:11.55209 INFO::Creating boxplot for categorical data, antibiotics vs F708
## 2025-01-28 07:00:11.665272 INFO::Creating boxplot for categorical data, antibiotics vs F438
## 2025-01-28 07:00:11.780594 INFO::Creating boxplot for categorical data, antibiotics vs F450
## 2025-01-28 07:00:11.900103 INFO::Creating boxplot for categorical data, antibiotics vs F666
## 2025-01-28 07:00:12.016567 INFO::Creating boxplot for categorical data, antibiotics vs F720
## 2025-01-28 07:00:12.137927 INFO::Creating boxplot for categorical data, antibiotics vs F48
## 2025-01-28 07:00:12.268838 INFO::Creating boxplot for categorical data, antibiotics vs F371
## 2025-01-28 07:00:12.385866 INFO::Creating boxplot for categorical data, antibiotics vs F423
## 2025-01-28 07:00:12.503838 INFO::Creating boxplot for categorical data, antibiotics vs F190
## 2025-01-28 07:00:12.625743 INFO::Creating boxplot for categorical data, antibiotics vs F351
## 2025-01-28 07:00:12.739886 INFO::Creating boxplot for categorical data, antibiotics vs F394
## 2025-01-28 07:00:12.85191 INFO::Creating boxplot for categorical data, antibiotics vs F581
## 2025-01-28 07:00:12.968198 INFO::Creating boxplot for categorical data, antibiotics vs F276
## 2025-01-28 07:00:13.091758 INFO::Creating boxplot for categorical data, antibiotics vs F608
## 2025-01-28 07:00:13.206435 INFO::Creating boxplot for categorical data, antibiotics vs F28
## 2025-01-28 07:00:13.32259 INFO::Creating boxplot for categorical data, antibiotics vs F805
## 2025-01-28 07:00:13.446301 INFO::Creating boxplot for categorical data, antibiotics vs F249
## 2025-01-28 07:00:13.560668 INFO::Creating boxplot for categorical data, antibiotics vs F776
## 2025-01-28 07:00:13.675421 INFO::Creating boxplot for categorical data, antibiotics vs F755
## 2025-01-28 07:00:13.799764 INFO::Creating boxplot for categorical data, antibiotics vs F68
## 2025-01-28 07:00:13.914906 INFO::Creating boxplot for categorical data, antibiotics vs F78
## 2025-01-28 07:00:14.030686 INFO::Creating boxplot for categorical data, antibiotics vs F381
## 2025-01-28 07:00:14.155985 INFO::Creating boxplot for categorical data, antibiotics vs F644
## 2025-01-28 07:00:14.269784 INFO::Creating boxplot for categorical data, antibiotics vs F358
## 2025-01-28 07:00:14.384915 INFO::Creating boxplot for categorical data, antibiotics vs F344
## 2025-01-28 07:00:14.500711 INFO::Creating boxplot for categorical data, antibiotics vs F209
## 2025-01-28 07:00:14.626943 INFO::Creating boxplot for categorical data, antibiotics vs F898
## 2025-01-28 07:00:14.743 INFO::Creating boxplot for categorical data, antibiotics vs F51
## 2025-01-28 07:00:14.860652 INFO::Creating boxplot for categorical data, antibiotics vs F149
## 2025-01-28 07:00:15.013617 INFO::Creating boxplot for categorical data, antibiotics vs F108
## 2025-01-28 07:00:15.131638 INFO::Creating boxplot for categorical data, antibiotics vs F255
## 2025-01-28 07:00:15.246881 INFO::Creating boxplot for categorical data, antibiotics vs F823
## 2025-01-28 07:00:15.372857 INFO::Creating boxplot for categorical data, antibiotics vs F864
## 2025-01-28 07:00:15.496364 INFO::Creating boxplot for categorical data, antibiotics vs F214
## 2025-01-28 07:00:15.612877 INFO::Creating boxplot for categorical data, antibiotics vs F76
## 2025-01-28 07:00:15.731467 INFO::Creating boxplot for categorical data, antibiotics vs F575
## 2025-01-28 07:00:15.86172 INFO::Creating boxplot for categorical data, antibiotics vs F13
## 2025-01-28 07:00:15.977458 INFO::Creating boxplot for categorical data, antibiotics vs F389
## 2025-01-28 07:00:16.093143 INFO::Creating boxplot for categorical data, antibiotics vs F556
## 2025-01-28 07:00:16.223766 INFO::Creating boxplot for categorical data, antibiotics vs F49
## 2025-01-28 07:00:16.345523 INFO::Creating boxplot for categorical data, antibiotics vs F436
## 2025-01-28 07:00:16.462932 INFO::Creating boxplot for categorical data, antibiotics vs F378
## 2025-01-28 07:00:16.584175 INFO::Creating boxplot for categorical data, antibiotics vs F682
## 2025-01-28 07:00:16.718526 INFO::Creating boxplot for categorical data, antibiotics vs F47
## 2025-01-28 07:00:16.835509 INFO::Creating boxplot for categorical data, antibiotics vs F429
## 2025-01-28 07:00:16.951405 INFO::Creating boxplot for categorical data, antibiotics vs F588
## 2025-01-28 07:00:17.087176 INFO::Creating boxplot for categorical data, antibiotics vs F616
## 2025-01-28 07:00:17.207563 INFO::Creating boxplot for categorical data, antibiotics vs F323
## 2025-01-28 07:00:17.32304 INFO::Creating boxplot for categorical data, antibiotics vs F409
## 2025-01-28 07:00:17.439334 INFO::Creating boxplot for categorical data, antibiotics vs F326
## 2025-01-28 07:00:17.572811 INFO::Creating boxplot for categorical data, antibiotics vs F698
## 2025-01-28 07:00:17.688123 INFO::Creating boxplot for categorical data, antibiotics vs F567
## 2025-01-28 07:00:17.804367 INFO::Creating boxplot for categorical data, antibiotics vs F179
## 2025-01-28 07:00:17.937452 INFO::Creating boxplot for categorical data, antibiotics vs F787
## 2025-01-28 07:00:18.056513 INFO::Creating boxplot for categorical data, antibiotics vs F79
## 2025-01-28 07:00:18.172169 INFO::Creating boxplot for categorical data, antibiotics vs F335
## 2025-01-28 07:00:18.299623 INFO::Creating boxplot for categorical data, antibiotics vs F576
## 2025-01-28 07:00:18.425237 INFO::Creating boxplot for categorical data, antibiotics vs F667
## 2025-01-28 07:00:18.541554 INFO::Creating boxplot for categorical data, antibiotics vs F694
## 2025-01-28 07:00:18.663868 INFO::Creating boxplot for categorical data, antibiotics vs F297
## 2025-01-28 07:00:18.798701 INFO::Creating boxplot for categorical data, antibiotics vs F569
## 2025-01-28 07:00:18.915303 INFO::Creating boxplot for categorical data, antibiotics vs F138
## 2025-01-28 07:00:19.030334 INFO::Creating boxplot for categorical data, antibiotics vs F611
## 2025-01-28 07:00:19.161937 INFO::Creating boxplot for categorical data, antibiotics vs F810
## 2025-01-28 07:00:19.27885 INFO::Creating boxplot for categorical data, antibiotics vs F746
## 2025-01-28 07:00:19.396872 INFO::Creating boxplot for categorical data, antibiotics vs F23
## 2025-01-28 07:00:19.515597 INFO::Creating boxplot for categorical data, antibiotics vs F135
## 2025-01-28 07:00:19.649224 INFO::Creating boxplot for categorical data, antibiotics vs F411
## 2025-01-28 07:00:19.764592 INFO::Creating boxplot for categorical data, antibiotics vs F489
## 2025-01-28 07:00:19.879526 INFO::Creating boxplot for categorical data, antibiotics vs F492
## 2025-01-28 07:00:20.010346 INFO::Creating boxplot for categorical data, antibiotics vs F844
## 2025-01-28 07:00:20.125477 INFO::Creating boxplot for categorical data, antibiotics vs F586
## 2025-01-28 07:00:20.239746 INFO::Creating boxplot for categorical data, antibiotics vs F11
## 2025-01-28 07:00:20.36995 INFO::Creating boxplot for categorical data, antibiotics vs F900
## 2025-01-28 07:00:20.48648 INFO::Creating boxplot for categorical data, antibiotics vs F21
## 2025-01-28 07:00:20.602184 INFO::Creating boxplot for categorical data, antibiotics vs F736
## 2025-01-28 07:00:20.721914 INFO::Creating boxplot for categorical data, antibiotics vs F408
## 2025-01-28 07:00:20.853387 INFO::Creating boxplot for categorical data, antibiotics vs F788
## 2025-01-28 07:00:20.967568 INFO::Creating boxplot for categorical data, antibiotics vs F66
## 2025-01-28 07:00:21.083548 INFO::Creating boxplot for categorical data, antibiotics vs F493
## 2025-01-28 07:00:21.214186 INFO::Creating boxplot for categorical data, antibiotics vs F343
## 2025-01-28 07:00:21.329413 INFO::Creating boxplot for categorical data, antibiotics vs F352
## 2025-01-28 07:00:21.444474 INFO::Creating boxplot for categorical data, antibiotics vs F677
## 2025-01-28 07:00:21.574054 INFO::Creating boxplot for categorical data, antibiotics vs F816
## 2025-01-28 07:00:21.695849 INFO::Creating boxplot for categorical data, antibiotics vs F457
## 2025-01-28 07:00:21.813303 INFO::Creating boxplot for categorical data, antibiotics vs F330
## 2025-01-28 07:00:21.944066 INFO::Creating boxplot for categorical data, antibiotics vs F293
## 2025-01-28 07:00:22.063481 INFO::Creating boxplot for categorical data, antibiotics vs F725
## 2025-01-28 07:00:22.178955 INFO::Creating boxplot for categorical data, antibiotics vs F813
## 2025-01-28 07:00:22.296217 INFO::Creating boxplot for categorical data, antibiotics vs F295
## 2025-01-28 07:00:22.428281 INFO::Creating boxplot for categorical data, antibiotics vs F656
## 2025-01-28 07:00:22.543855 INFO::Creating boxplot for categorical data, antibiotics vs F669
## 2025-01-28 07:00:22.660139 INFO::Creating boxplot for categorical data, antibiotics vs F15
## 2025-01-28 07:00:22.789917 INFO::Creating boxplot for categorical data, antibiotics vs F419
## 2025-01-28 07:00:22.904817 INFO::Creating boxplot for categorical data, antibiotics vs F701
## 2025-01-28 07:00:23.022754 INFO::Creating boxplot for categorical data, antibiotics vs F176
## 2025-01-28 07:00:23.160873 INFO::Creating boxplot for categorical data, antibiotics vs F203
## 2025-01-28 07:00:23.28184 INFO::Creating boxplot for categorical data, antibiotics vs F501
## 2025-01-28 07:00:23.400691 INFO::Creating boxplot for categorical data, antibiotics vs F772
## 2025-01-28 07:00:23.56664 INFO::Creating boxplot for categorical data, antibiotics vs F488
## 2025-01-28 07:00:23.691651 INFO::Creating boxplot for categorical data, antibiotics vs F600
## 2025-01-28 07:00:23.815175 INFO::Creating boxplot for categorical data, antibiotics vs F768
## 2025-01-28 07:00:23.938552 INFO::Creating boxplot for categorical data, antibiotics vs F432
## 2025-01-28 07:00:24.076791 INFO::Creating boxplot for categorical data, antibiotics vs F26
## 2025-01-28 07:00:24.19985 INFO::Creating boxplot for categorical data, antibiotics vs F189
## 2025-01-28 07:00:24.32104 INFO::Creating boxplot for categorical data, antibiotics vs F200
## 2025-01-28 07:00:24.454149 INFO::Creating boxplot for categorical data, antibiotics vs F121
## 2025-01-28 07:00:24.577068 INFO::Creating boxplot for categorical data, antibiotics vs F624
## 2025-01-28 07:00:24.701322 INFO::Creating boxplot for categorical data, antibiotics vs F855
## 2025-01-28 07:00:24.824337 INFO::Creating boxplot for categorical data, antibiotics vs F380
## 2025-01-28 07:00:24.962921 INFO::Creating boxplot for categorical data, antibiotics vs F734
## 2025-01-28 07:00:25.088496 INFO::Creating boxplot for categorical data, antibiotics vs F16
## 2025-01-28 07:00:25.209131 INFO::Creating boxplot for categorical data, antibiotics vs F602
## 2025-01-28 07:00:25.345082 INFO::Creating boxplot for categorical data, antibiotics vs F210
## 2025-01-28 07:00:25.467437 INFO::Creating boxplot for categorical data, antibiotics vs F217
## 2025-01-28 07:00:25.590075 INFO::Creating boxplot for categorical data, antibiotics vs F640
## 2025-01-28 07:00:25.708698 INFO::Creating boxplot for categorical data, antibiotics vs F631
## 2025-01-28 07:00:25.844576 INFO::Creating boxplot for categorical data, antibiotics vs F32
## 2025-01-28 07:00:25.965217 INFO::Creating boxplot for categorical data, antibiotics vs F322
## 2025-01-28 07:00:26.081456 INFO::Creating boxplot for categorical data, antibiotics vs F476
## 2025-01-28 07:00:26.212126 INFO::Creating boxplot for categorical data, antibiotics vs F265
## 2025-01-28 07:00:26.331785 INFO::Creating boxplot for categorical data, antibiotics vs F283
## 2025-01-28 07:00:26.447689 INFO::Creating boxplot for categorical data, antibiotics vs F316
## 2025-01-28 07:00:26.566065 INFO::Creating boxplot for categorical data, antibiotics vs F465
## 2025-01-28 07:00:26.698242 INFO::Creating boxplot for categorical data, antibiotics vs F24
## 2025-01-28 07:00:26.817354 INFO::Creating boxplot for categorical data, antibiotics vs F38
## 2025-01-28 07:00:26.935104 INFO::Creating boxplot for categorical data, antibiotics vs F82
## 2025-01-28 07:00:27.06545 INFO::Creating boxplot for categorical data, antibiotics vs F86
## 2025-01-28 07:00:27.186414 INFO::Creating boxplot for categorical data, antibiotics vs F270
## 2025-01-28 07:00:27.302072 INFO::Creating boxplot for categorical data, antibiotics vs F485
## 2025-01-28 07:00:27.431862 INFO::Creating boxplot for categorical data, antibiotics vs F486
## 2025-01-28 07:00:27.551428 INFO::Creating boxplot for categorical data, antibiotics vs F399
## 2025-01-28 07:00:27.668352 INFO::Creating boxplot for categorical data, antibiotics vs F573
## 2025-01-28 07:00:27.785895 INFO::Creating boxplot for categorical data, antibiotics vs F877
## 2025-01-28 07:00:27.917516 INFO::Creating boxplot for categorical data, antibiotics vs F709
## 2025-01-28 07:00:28.035873 INFO::Creating boxplot for categorical data, antibiotics vs F227
## 2025-01-28 07:00:28.155881 INFO::Creating boxplot for categorical data, antibiotics vs F553
## 2025-01-28 07:00:28.291864 INFO::Creating boxplot for categorical data, antibiotics vs F123
## 2025-01-28 07:00:28.412398 INFO::Creating boxplot for categorical data, antibiotics vs F118
## 2025-01-28 07:00:28.531263 INFO::Creating boxplot for categorical data, antibiotics vs F605
## 2025-01-28 07:00:28.662833 INFO::Creating boxplot for categorical data, antibiotics vs F619
## 2025-01-28 07:00:28.783936 INFO::Creating boxplot for categorical data, antibiotics vs F830
## 2025-01-28 07:00:28.901855 INFO::Creating boxplot for categorical data, antibiotics vs F837
## 2025-01-28 07:00:29.018824 INFO::Creating boxplot for categorical data, antibiotics vs F12
## 2025-01-28 07:00:29.150076 INFO::Creating boxplot for categorical data, antibiotics vs F623
## 2025-01-28 07:00:29.270889 INFO::Creating boxplot for categorical data, antibiotics vs F806
## 2025-01-28 07:00:29.388041 INFO::Creating boxplot for categorical data, antibiotics vs F353
## 2025-01-28 07:00:29.519333 INFO::Creating boxplot for categorical data, antibiotics vs F829
## 2025-01-28 07:00:29.637856 INFO::Creating boxplot for categorical data, antibiotics vs F289
## 2025-01-28 07:00:29.755423 INFO::Creating boxplot for categorical data, antibiotics vs F93
## 2025-01-28 07:00:29.886809 INFO::Creating boxplot for categorical data, antibiotics vs F379
## 2025-01-28 07:00:30.009194 INFO::Creating boxplot for categorical data, antibiotics vs F370
## 2025-01-28 07:00:30.12748 INFO::Creating boxplot for categorical data, antibiotics vs F360
## 2025-01-28 07:00:30.244176 INFO::Creating boxplot for categorical data, antibiotics vs F710
## 2025-01-28 07:00:30.374564 INFO::Creating boxplot for categorical data, antibiotics vs F388
## 2025-01-28 07:00:30.490961 INFO::Creating boxplot for categorical data, antibiotics vs F796
## 2025-01-28 07:00:30.606388 INFO::Creating boxplot for categorical data, antibiotics vs F174
## 2025-01-28 07:00:30.736405 INFO::Creating boxplot for categorical data, antibiotics vs F601
## 2025-01-28 07:00:30.853082 INFO::Creating boxplot for categorical data, antibiotics vs F775
## 2025-01-28 07:00:30.968435 INFO::Creating boxplot for categorical data, antibiotics vs F836
## 2025-01-28 07:00:31.10025 INFO::Creating boxplot for categorical data, antibiotics vs F192
## 2025-01-28 07:00:31.21959 INFO::Creating boxplot for categorical data, antibiotics vs F463
## 2025-01-28 07:00:31.337177 INFO::Creating boxplot for categorical data, antibiotics vs F57
## 2025-01-28 07:00:31.467672 INFO::Creating boxplot for categorical data, antibiotics vs F658
## 2025-01-28 07:00:31.590042 INFO::Creating boxplot for categorical data, antibiotics vs F596
## 2025-01-28 07:00:31.705581 INFO::Creating boxplot for categorical data, antibiotics vs F218
## 2025-01-28 07:00:31.823258 INFO::Creating boxplot for categorical data, antibiotics vs F104
## 2025-01-28 07:00:31.954558 INFO::Creating boxplot for categorical data, antibiotics vs F466
## 2025-01-28 07:00:32.072156 INFO::Creating boxplot for categorical data, antibiotics vs F737
## 2025-01-28 07:00:32.187684 INFO::Creating boxplot for categorical data, antibiotics vs F487
## 2025-01-28 07:00:32.343992 INFO::Creating boxplot for categorical data, antibiotics vs F369
## 2025-01-28 07:00:32.46177 INFO::Creating boxplot for categorical data, antibiotics vs F584
## 2025-01-28 07:00:32.579113 INFO::Creating boxplot for categorical data, antibiotics vs F166
## 2025-01-28 07:00:32.708895 INFO::Creating boxplot for categorical data, antibiotics vs F822
## 2025-01-28 07:00:32.83527 INFO::Creating boxplot for categorical data, antibiotics vs F416
## 2025-01-28 07:00:32.953183 INFO::Creating boxplot for categorical data, antibiotics vs F70
## 2025-01-28 07:00:33.072338 INFO::Creating boxplot for categorical data, antibiotics vs F243
## 2025-01-28 07:00:33.209203 INFO::Creating boxplot for categorical data, antibiotics vs F498
## 2025-01-28 07:00:33.327801 INFO::Creating boxplot for categorical data, antibiotics vs F272
## 2025-01-28 07:00:33.446606 INFO::Creating boxplot for categorical data, antibiotics vs F846
## 2025-01-28 07:00:33.578401 INFO::Creating boxplot for categorical data, antibiotics vs F881
## 2025-01-28 07:00:33.696884 INFO::Creating boxplot for categorical data, antibiotics vs F280
## 2025-01-28 07:00:33.81703 INFO::Creating boxplot for categorical data, antibiotics vs F761
## 2025-01-28 07:00:33.933446 INFO::Creating boxplot for categorical data, antibiotics vs F781
## 2025-01-28 07:00:34.069373 INFO::Creating boxplot for categorical data, antibiotics vs F697
## 2025-01-28 07:00:34.187175 INFO::Creating boxplot for categorical data, antibiotics vs F890
## 2025-01-28 07:00:34.305331 INFO::Creating boxplot for categorical data, antibiotics vs F197
## 2025-01-28 07:00:34.440323 INFO::Creating boxplot for categorical data, antibiotics vs F826
## 2025-01-28 07:00:34.55953 INFO::Creating boxplot for categorical data, antibiotics vs F641
## 2025-01-28 07:00:34.67831 INFO::Creating boxplot for categorical data, antibiotics vs F700
## 2025-01-28 07:00:34.797068 INFO::Creating boxplot for categorical data, antibiotics vs F531
## 2025-01-28 07:00:34.93321 INFO::Creating boxplot for categorical data, antibiotics vs F660
## 2025-01-28 07:00:35.052047 INFO::Creating boxplot for categorical data, antibiotics vs F257
## 2025-01-28 07:00:35.16948 INFO::Creating boxplot for categorical data, antibiotics vs F136
## 2025-01-28 07:00:35.306112 INFO::Creating boxplot for categorical data, antibiotics vs F875
## 2025-01-28 07:00:35.425084 INFO::Creating boxplot for categorical data, antibiotics vs F160
## 2025-01-28 07:00:35.543394 INFO::Creating boxplot for categorical data, antibiotics vs F782
## 2025-01-28 07:00:35.672984 INFO::Creating boxplot for categorical data, antibiotics vs F642
## 2025-01-28 07:00:35.800344 INFO::Creating boxplot for categorical data, antibiotics vs F730
## 2025-01-28 07:00:35.91751 INFO::Creating boxplot for categorical data, antibiotics vs F679
## 2025-01-28 07:00:36.033832 INFO::Creating boxplot for categorical data, antibiotics vs F713
## 2025-01-28 07:00:36.171021 INFO::Creating boxplot for categorical data, antibiotics vs F821
## 2025-01-28 07:00:36.290073 INFO::Creating boxplot for categorical data, antibiotics vs F443
## 2025-01-28 07:00:36.408377 INFO::Creating boxplot for categorical data, antibiotics vs F729
## 2025-01-28 07:00:36.551311 INFO::Creating boxplot for categorical data, antibiotics vs F25
## 2025-01-28 07:00:36.671685 INFO::Creating boxplot for categorical data, antibiotics vs F338
## 2025-01-28 07:00:36.790889 INFO::Creating boxplot for categorical data, antibiotics vs F647
## 2025-01-28 07:00:36.918759 INFO::Creating boxplot for categorical data, antibiotics vs F817
## 2025-01-28 07:00:37.045584 INFO::Creating boxplot for categorical data, antibiotics vs F535
## 2025-01-28 07:00:37.164728 INFO::Creating boxplot for categorical data, antibiotics vs F634
## 2025-01-28 07:00:37.287123 INFO::Creating boxplot for categorical data, antibiotics vs F533
## 2025-01-28 07:00:37.426498 INFO::Creating boxplot for categorical data, antibiotics vs F808
## 2025-01-28 07:00:37.545476 INFO::Creating boxplot for categorical data, antibiotics vs F571
## 2025-01-28 07:00:37.662972 INFO::Creating boxplot for categorical data, antibiotics vs F529
## 2025-01-28 07:00:37.800345 INFO::Creating boxplot for categorical data, antibiotics vs F827
## 2025-01-28 07:00:37.923041 INFO::Creating boxplot for categorical data, antibiotics vs F107
## 2025-01-28 07:00:38.040218 INFO::Creating boxplot for categorical data, antibiotics vs F515
## 2025-01-28 07:00:38.174269 INFO::Creating boxplot for categorical data, antibiotics vs F305
## 2025-01-28 07:00:38.301281 INFO::Creating boxplot for categorical data, antibiotics vs F662
## 2025-01-28 07:00:38.419731 INFO::Creating boxplot for categorical data, antibiotics vs F310
## 2025-01-28 07:00:38.537459 INFO::Creating boxplot for categorical data, antibiotics vs F430
## 2025-01-28 07:00:38.671997 INFO::Creating boxplot for categorical data, antibiotics vs F173
## 2025-01-28 07:00:38.790931 INFO::Creating boxplot for categorical data, antibiotics vs F820
## 2025-01-28 07:00:38.910975 INFO::Creating boxplot for categorical data, antibiotics vs F743
## 2025-01-28 07:00:39.04866 INFO::Creating boxplot for categorical data, antibiotics vs F63
## 2025-01-28 07:00:39.170887 INFO::Creating boxplot for categorical data, antibiotics vs F215
## 2025-01-28 07:00:39.288163 INFO::Creating boxplot for categorical data, antibiotics vs F216
## 2025-01-28 07:00:39.425506 INFO::Creating boxplot for categorical data, antibiotics vs F245
## 2025-01-28 07:00:39.545807 INFO::Creating boxplot for categorical data, antibiotics vs F862
## 2025-01-28 07:00:39.662263 INFO::Creating boxplot for categorical data, antibiotics vs F541
## 2025-01-28 07:00:39.78766 INFO::Creating boxplot for categorical data, antibiotics vs F558
## 2025-01-28 07:00:39.921558 INFO::Creating boxplot for categorical data, antibiotics vs F633
## 2025-01-28 07:00:40.039964 INFO::Creating boxplot for categorical data, antibiotics vs F94
## 2025-01-28 07:00:40.157248 INFO::Creating boxplot for categorical data, antibiotics vs F574
## 2025-01-28 07:00:40.29252 INFO::Creating boxplot for categorical data, antibiotics vs F238
## 2025-01-28 07:00:40.41115 INFO::Creating boxplot for categorical data, antibiotics vs F815
## 2025-01-28 07:00:40.529137 INFO::Creating boxplot for categorical data, antibiotics vs F587
## 2025-01-28 07:00:40.665183 INFO::Creating boxplot for categorical data, antibiotics vs F464
## 2025-01-28 07:00:40.784941 INFO::Creating boxplot for categorical data, antibiotics vs F590
## 2025-01-28 07:00:40.90311 INFO::Creating boxplot for categorical data, antibiotics vs F124
## 2025-01-28 07:00:41.072557 INFO::Creating boxplot for categorical data, antibiotics vs F664
## 2025-01-28 07:00:41.1911 INFO::Creating boxplot for categorical data, antibiotics vs F100
## 2025-01-28 07:00:41.315163 INFO::Creating boxplot for categorical data, antibiotics vs F744
## 2025-01-28 07:00:41.439462 INFO::Creating boxplot for categorical data, antibiotics vs F444
## 2025-01-28 07:00:41.579785 INFO::Creating boxplot for categorical data, antibiotics vs F597
## 2025-01-28 07:00:41.702317 INFO::Creating boxplot for categorical data, antibiotics vs F650
## 2025-01-28 07:00:41.823803 INFO::Creating boxplot for categorical data, antibiotics vs F147
## 2025-01-28 07:00:41.964153 INFO::Creating boxplot for categorical data, antibiotics vs F363
## 2025-01-28 07:00:42.08435 INFO::Creating boxplot for categorical data, antibiotics vs F521
## 2025-01-28 07:00:42.205682 INFO::Creating boxplot for categorical data, antibiotics vs F412
## 2025-01-28 07:00:42.324033 INFO::Creating boxplot for categorical data, antibiotics vs F279
## 2025-01-28 07:00:42.463823 INFO::Creating boxplot for categorical data, antibiotics vs F225
## 2025-01-28 07:00:42.583053 INFO::Creating boxplot for categorical data, antibiotics vs F10
## 2025-01-28 07:00:42.705592 INFO::Creating boxplot for categorical data, antibiotics vs F481
## 2025-01-28 07:00:42.843089 INFO::Creating boxplot for categorical data, antibiotics vs F861
## 2025-01-28 07:00:42.967811 INFO::Creating boxplot for categorical data, antibiotics vs F888
## 2025-01-28 07:00:43.089168 INFO::Creating boxplot for categorical data, antibiotics vs F156
## 2025-01-28 07:00:43.219155 INFO::Creating boxplot for categorical data, antibiotics vs F857
## 2025-01-28 07:00:43.344278 INFO::Creating boxplot for categorical data, antibiotics vs F509
## 2025-01-28 07:00:43.462531 INFO::Creating boxplot for categorical data, antibiotics vs F244
## 2025-01-28 07:00:43.582287 INFO::Creating boxplot for categorical data, antibiotics vs F514
## 2025-01-28 07:00:43.716312 INFO::Creating boxplot for categorical data, antibiotics vs F196
## 2025-01-28 07:00:43.836128 INFO::Creating boxplot for categorical data, antibiotics vs F304
## 2025-01-28 07:00:43.957783 INFO::Creating boxplot for categorical data, antibiotics vs F833
## 2025-01-28 07:00:44.095081 INFO::Creating boxplot for categorical data, antibiotics vs F294
## 2025-01-28 07:00:44.213103 INFO::Creating boxplot for categorical data, antibiotics vs F550
## 2025-01-28 07:00:44.331219 INFO::Creating boxplot for categorical data, antibiotics vs F869
## 2025-01-28 07:00:44.451132 INFO::Creating boxplot for categorical data, antibiotics vs F364
## 2025-01-28 07:00:44.59117 INFO::Creating boxplot for categorical data, antibiotics vs F583
## 2025-01-28 07:00:44.715018 INFO::Creating boxplot for categorical data, antibiotics vs F441
## 2025-01-28 07:00:44.840242 INFO::Creating boxplot for categorical data, antibiotics vs F595
## 2025-01-28 07:00:44.988012 INFO::Creating boxplot for categorical data, antibiotics vs F35
## 2025-01-28 07:00:45.111063 INFO::Creating boxplot for categorical data, antibiotics vs F630
## 2025-01-28 07:00:45.23248 INFO::Creating boxplot for categorical data, antibiotics vs F401
## 2025-01-28 07:00:45.370252 INFO::Creating boxplot for categorical data, antibiotics vs F287
## 2025-01-28 07:00:45.492112 INFO::Creating boxplot for categorical data, antibiotics vs F250
## 2025-01-28 07:00:45.613106 INFO::Creating boxplot for categorical data, antibiotics vs F239
## 2025-01-28 07:00:45.732766 INFO::Creating boxplot for categorical data, antibiotics vs F88
## 2025-01-28 07:00:45.872533 INFO::Creating boxplot for categorical data, antibiotics vs F752
## 2025-01-28 07:00:45.993288 INFO::Creating boxplot for categorical data, antibiotics vs F539
## 2025-01-28 07:00:46.11285 INFO::Creating boxplot for categorical data, antibiotics vs F69
## 2025-01-28 07:00:46.252937 INFO::Creating boxplot for categorical data, antibiotics vs F126
## 2025-01-28 07:00:46.376694 INFO::Creating boxplot for categorical data, antibiotics vs F362
## 2025-01-28 07:00:46.501621 INFO::Creating boxplot for categorical data, antibiotics vs F753
## 2025-01-28 07:00:46.645649 INFO::Creating boxplot for categorical data, antibiotics vs F469
## 2025-01-28 07:00:46.787742 INFO::Creating boxplot for categorical data, antibiotics vs F14
## 2025-01-28 07:00:46.912859 INFO::Creating boxplot for categorical data, antibiotics vs F803
## 2025-01-28 07:00:47.039637 INFO::Creating boxplot for categorical data, antibiotics vs F814
## 2025-01-28 07:00:47.18314 INFO::Creating boxplot for categorical data, antibiotics vs F449
## 2025-01-28 07:00:47.308622 INFO::Creating boxplot for categorical data, antibiotics vs F494
## 2025-01-28 07:00:47.432785 INFO::Creating boxplot for categorical data, antibiotics vs F439
## 2025-01-28 07:00:47.575979 INFO::Creating boxplot for categorical data, antibiotics vs F686
## 2025-01-28 07:00:47.697403 INFO::Creating boxplot for categorical data, antibiotics vs F591
## 2025-01-28 07:00:47.822145 INFO::Creating boxplot for categorical data, antibiotics vs F735
## 2025-01-28 07:00:47.966528 INFO::Creating boxplot for categorical data, antibiotics vs F111
## 2025-01-28 07:00:48.086977 INFO::Creating boxplot for categorical data, antibiotics vs F346
## 2025-01-28 07:00:48.207501 INFO::Creating boxplot for categorical data, antibiotics vs F29
## 2025-01-28 07:00:48.339856 INFO::Creating boxplot for categorical data, antibiotics vs F376
## 2025-01-28 07:00:48.468228 INFO::Creating boxplot for categorical data, antibiotics vs F414
## 2025-01-28 07:00:48.587917 INFO::Creating boxplot for categorical data, antibiotics vs F555
## 2025-01-28 07:00:48.709315 INFO::Creating boxplot for categorical data, antibiotics vs F517
## 2025-01-28 07:00:48.847607 INFO::Creating boxplot for categorical data, antibiotics vs F544
## 2025-01-28 07:00:48.9699 INFO::Creating boxplot for categorical data, antibiotics vs F339
## 2025-01-28 07:00:49.090641 INFO::Creating boxplot for categorical data, antibiotics vs F689
## 2025-01-28 07:00:49.228544 INFO::Creating boxplot for categorical data, antibiotics vs F391
## 2025-01-28 07:00:49.347723 INFO::Creating boxplot for categorical data, antibiotics vs F502
## 2025-01-28 07:00:49.469396 INFO::Creating boxplot for categorical data, antibiotics vs F298
## 2025-01-28 07:00:49.606944 INFO::Creating boxplot for categorical data, antibiotics vs F337
## 2025-01-28 07:00:49.727494 INFO::Creating boxplot for categorical data, antibiotics vs F773
## 2025-01-28 07:00:49.847154 INFO::Creating boxplot for categorical data, antibiotics vs F592
## 2025-01-28 07:00:50.009125 INFO::Creating boxplot for categorical data, antibiotics vs F307
## 2025-01-28 07:00:50.138893 INFO::Creating boxplot for categorical data, antibiotics vs F115
## 2025-01-28 07:00:50.259691 INFO::Creating boxplot for categorical data, antibiotics vs F739
## 2025-01-28 07:00:50.382325 INFO::Creating boxplot for categorical data, antibiotics vs F433
## 2025-01-28 07:00:50.527006 INFO::Creating boxplot for categorical data, antibiotics vs F384
## 2025-01-28 07:00:50.649235 INFO::Creating boxplot for categorical data, antibiotics vs F750
## 2025-01-28 07:00:50.771501 INFO::Creating boxplot for categorical data, antibiotics vs F762
## 2025-01-28 07:00:50.918073 INFO::Creating boxplot for categorical data, antibiotics vs F277
## 2025-01-28 07:00:51.043952 INFO::Creating boxplot for categorical data, antibiotics vs F871
## 2025-01-28 07:00:51.164773 INFO::Creating boxplot for categorical data, antibiotics vs F839
## 2025-01-28 07:00:51.288575 INFO::Creating boxplot for categorical data, antibiotics vs F127
## 2025-01-28 07:00:51.432621 INFO::Creating boxplot for categorical data, antibiotics vs F554
## 2025-01-28 07:00:51.553334 INFO::Creating boxplot for categorical data, antibiotics vs F676
## 2025-01-28 07:00:51.675997 INFO::Creating boxplot for categorical data, antibiotics vs F568
## 2025-01-28 07:00:51.823158 INFO::Creating boxplot for categorical data, antibiotics vs F137
## 2025-01-28 07:00:51.944368 INFO::Creating boxplot for categorical data, antibiotics vs F131
## 2025-01-28 07:00:52.064853 INFO::Creating boxplot for categorical data, antibiotics vs F60
## 2025-01-28 07:00:52.186227 INFO::Creating boxplot for categorical data, antibiotics vs F98
## 2025-01-28 07:00:52.328235 INFO::Creating boxplot for categorical data, antibiotics vs F672
## 2025-01-28 07:00:52.452958 INFO::Creating boxplot for categorical data, antibiotics vs F530
## 2025-01-28 07:00:52.578441 INFO::Creating boxplot for categorical data, antibiotics vs F809
## 2025-01-28 07:00:52.721916 INFO::Creating boxplot for categorical data, antibiotics vs F894
## 2025-01-28 07:00:52.842613 INFO::Creating boxplot for categorical data, antibiotics vs F22
## 2025-01-28 07:00:52.963082 INFO::Creating boxplot for categorical data, antibiotics vs F818
## 2025-01-28 07:00:53.100622 INFO::Creating boxplot for categorical data, antibiotics vs F559
## 2025-01-28 07:00:53.229359 INFO::Creating boxplot for categorical data, antibiotics vs F741
## 2025-01-28 07:00:53.349294 INFO::Creating boxplot for categorical data, antibiotics vs F398
## 2025-01-28 07:00:53.470198 INFO::Creating boxplot for categorical data, antibiotics vs F357
## 2025-01-28 07:00:53.616102 INFO::Creating boxplot for categorical data, antibiotics vs F119
## 2025-01-28 07:00:53.735972 INFO::Creating boxplot for categorical data, antibiotics vs F426
## 2025-01-28 07:00:53.859539 INFO::Creating boxplot for categorical data, antibiotics vs F204
## 2025-01-28 07:00:54.007887 INFO::Creating boxplot for categorical data, antibiotics vs F851
## 2025-01-28 07:00:54.126492 INFO::Creating boxplot for categorical data, antibiotics vs F657
## 2025-01-28 07:00:54.24583 INFO::Creating boxplot for categorical data, antibiotics vs F801
## 2025-01-28 07:00:54.374472 INFO::Creating boxplot for categorical data, antibiotics vs F754
## 2025-01-28 07:00:54.509658 INFO::Creating boxplot for categorical data, antibiotics vs F859
## 2025-01-28 07:00:54.62786 INFO::Creating boxplot for categorical data, antibiotics vs F480
## 2025-01-28 07:00:54.749454 INFO::Creating boxplot for categorical data, antibiotics vs F507
## 2025-01-28 07:00:54.893408 INFO::Creating boxplot for categorical data, antibiotics vs F207
## 2025-01-28 07:00:56.533815 INFO::Plotting data for metadata number 3, age
## 2025-01-28 07:00:56.535097 INFO::Creating scatter plot for continuous data, age vs F340
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:00:56.696477 INFO::Creating scatter plot for continuous data, age vs F603
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:00:56.902626 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()`).
## 2025-01-28 07:00:57.034365 INFO::Creating scatter plot for continuous data, age vs F181
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:00:57.153703 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()`).
## 2025-01-28 07:00:57.309255 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()`).
## 2025-01-28 07:00:57.438405 INFO::Creating scatter plot for continuous data, age vs F743
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:00:57.562454 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()`).
## 2025-01-28 07:00:57.714243 INFO::Creating scatter plot for continuous data, age vs F436
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:00:57.832164 INFO::Creating scatter plot for continuous data, age vs F219
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:00:57.950798 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()`).
## 2025-01-28 07:00:58.102663 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()`).
## 2025-01-28 07:00:58.22895 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()`).
## 2025-01-28 07:00:58.35747 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()`).
## 2025-01-28 07:00:58.509677 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()`).
## 2025-01-28 07:00:58.636542 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()`).
## 2025-01-28 07:00:58.779618 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()`).
## 2025-01-28 07:00:58.91919 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()`).
## 2025-01-28 07:00:59.048578 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()`).
## 2025-01-28 07:00:59.731977 INFO::Creating scatter plot for continuous data, age vs F174
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:00:59.842035 INFO::Creating scatter plot for continuous data, age vs F17
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:00:59.953754 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()`).
## 2025-01-28 07:01:00.085102 INFO::Creating scatter plot for continuous data, age vs F835
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:00.198411 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()`).
## 2025-01-28 07:01:00.319686 INFO::Creating scatter plot for continuous data, age vs F383
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:00.440256 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()`).
## 2025-01-28 07:01:00.560735 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()`).
## 2025-01-28 07:01:00.682887 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()`).
## 2025-01-28 07:01:00.813822 INFO::Creating scatter plot for continuous data, age vs F528
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:00.924074 INFO::Creating scatter plot for continuous data, age vs F13
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:01.036129 INFO::Creating scatter plot for continuous data, age vs F36
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:01.150731 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()`).
## 2025-01-28 07:01:01.279123 INFO::Creating scatter plot for continuous data, age vs F404
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:01.390466 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()`).
## 2025-01-28 07:01:01.512035 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()`).
## 2025-01-28 07:01:01.639485 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()`).
## 2025-01-28 07:01:01.758657 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()`).
## 2025-01-28 07:01:01.879362 INFO::Creating scatter plot for continuous data, age vs F97
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:01.998446 INFO::Creating scatter plot for continuous data, age vs F849
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:02.112135 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()`).
## 2025-01-28 07:01:02.234461 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()`).
## 2025-01-28 07:01:02.360907 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()`).
## 2025-01-28 07:01:02.482405 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()`).
## 2025-01-28 07:01:02.604811 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()`).
## 2025-01-28 07:01:02.733108 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()`).
## 2025-01-28 07:01:02.853463 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()`).
## 2025-01-28 07:01:02.974579 INFO::Creating scatter plot for continuous data, age vs F496
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:03.093328 INFO::Creating scatter plot for continuous data, age vs F386
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:03.205375 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()`).
## 2025-01-28 07:01:03.328151 INFO::Creating scatter plot for continuous data, age vs F704
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:03.449621 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()`).
## 2025-01-28 07:01:03.569131 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()`).
## 2025-01-28 07:01:03.690664 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()`).
## 2025-01-28 07:01:03.817387 INFO::Creating scatter plot for continuous data, age vs F481
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:03.929765 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()`).
## 2025-01-28 07:01:04.051187 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()`).
## 2025-01-28 07:01:04.179979 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()`).
## 2025-01-28 07:01:04.300358 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()`).
## 2025-01-28 07:01:04.430891 INFO::Creating scatter plot for continuous data, age vs F82
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:04.542187 INFO::Creating scatter plot for continuous data, age vs F7
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:04.653202 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()`).
## 2025-01-28 07:01:04.782475 INFO::Creating scatter plot for continuous data, age vs F593
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:04.894813 INFO::Creating scatter plot for continuous data, age vs F733
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:05.006156 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()`).
## 2025-01-28 07:01:05.137097 INFO::Creating scatter plot for continuous data, age vs F410
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:05.25165 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()`).
## 2025-01-28 07:01:05.374793 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()`).
## 2025-01-28 07:01:05.50714 INFO::Creating scatter plot for continuous data, age vs F856
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:05.620038 INFO::Creating scatter plot for continuous data, age vs F680
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:05.732684 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()`).
## 2025-01-28 07:01:05.862502 INFO::Creating scatter plot for continuous data, age vs F860
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:05.973469 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()`).
## 2025-01-28 07:01:06.093248 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()`).
## 2025-01-28 07:01:06.22519 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()`).
## 2025-01-28 07:01:06.345949 INFO::Creating scatter plot for continuous data, age vs F899
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:06.460053 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()`).
## 2025-01-28 07:01:06.590344 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()`).
## 2025-01-28 07:01:06.712291 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()`).
## 2025-01-28 07:01:06.834124 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()`).
## 2025-01-28 07:01:06.962145 INFO::Creating scatter plot for continuous data, age vs F345
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:07.076769 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()`).
## 2025-01-28 07:01:07.201608 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()`).
## 2025-01-28 07:01:07.362395 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()`).
## 2025-01-28 07:01:07.487821 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()`).
## 2025-01-28 07:01:07.613633 INFO::Creating scatter plot for continuous data, age vs F752
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:07.747006 INFO::Creating scatter plot for continuous data, age vs F848
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:07.861801 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()`).
## 2025-01-28 07:01:07.983826 INFO::Creating scatter plot for continuous data, age vs F751
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:08.113247 INFO::Creating scatter plot for continuous data, age vs F15
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:08.232534 INFO::Creating scatter plot for continuous data, age vs F521
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:08.34571 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()`).
## 2025-01-28 07:01:08.48577 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()`).
## 2025-01-28 07:01:08.609952 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()`).
## 2025-01-28 07:01:08.73165 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()`).
## 2025-01-28 07:01:08.878098 INFO::Creating scatter plot for continuous data, age vs F241
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:08.994035 INFO::Creating scatter plot for continuous data, age vs F582
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:09.107586 INFO::Creating scatter plot for continuous data, age vs F822
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:09.238702 INFO::Creating scatter plot for continuous data, age vs F748
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:09.354462 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()`).
## 2025-01-28 07:01:09.475116 INFO::Creating scatter plot for continuous data, age vs F16
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:09.613022 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()`).
## 2025-01-28 07:01:09.736244 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()`).
## 2025-01-28 07:01:09.861496 INFO::Creating scatter plot for continuous data, age vs F663
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:09.992423 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()`).
## 2025-01-28 07:01:10.117344 INFO::Creating scatter plot for continuous data, age vs F865
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:10.236326 INFO::Creating scatter plot for continuous data, age vs F421
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:10.363184 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()`).
## 2025-01-28 07:01:10.491154 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()`).
## 2025-01-28 07:01:10.614039 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()`).
## 2025-01-28 07:01:10.751452 INFO::Creating scatter plot for continuous data, age vs F123
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:10.864907 INFO::Creating scatter plot for continuous data, age vs F566
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:10.97638 INFO::Creating scatter plot for continuous data, age vs F370
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:11.099319 INFO::Creating scatter plot for continuous data, age vs F65
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:11.219036 INFO::Creating scatter plot for continuous data, age vs F119
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:11.330616 INFO::Creating scatter plot for continuous data, age vs F263
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:11.444985 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()`).
## 2025-01-28 07:01:11.581847 INFO::Creating scatter plot for continuous data, age vs F628
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:11.692854 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()`).
## 2025-01-28 07:01:11.815163 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()`).
## 2025-01-28 07:01:11.952167 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()`).
## 2025-01-28 07:01:12.073931 INFO::Creating scatter plot for continuous data, age vs F575
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:12.199496 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()`).
## 2025-01-28 07:01:12.326849 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()`).
## 2025-01-28 07:01:12.449537 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()`).
## 2025-01-28 07:01:12.586667 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()`).
## 2025-01-28 07:01:12.709173 INFO::Creating scatter plot for continuous data, age vs F504
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:12.820678 INFO::Creating scatter plot for continuous data, age vs F34
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:12.94796 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()`).
## 2025-01-28 07:01:13.069175 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()`).
## 2025-01-28 07:01:13.190923 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()`).
## 2025-01-28 07:01:13.335283 INFO::Creating scatter plot for continuous data, age vs F673
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:13.452775 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()`).
## 2025-01-28 07:01:13.578597 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()`).
## 2025-01-28 07:01:13.723414 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()`).
## 2025-01-28 07:01:13.849467 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()`).
## 2025-01-28 07:01:13.974978 INFO::Creating scatter plot for continuous data, age vs F40
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:14.11038 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()`).
## 2025-01-28 07:01:14.238021 INFO::Creating scatter plot for continuous data, age vs F643
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:14.356393 INFO::Creating scatter plot for continuous data, age vs F759
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:14.490964 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()`).
## 2025-01-28 07:01:14.6171 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()`).
## 2025-01-28 07:01:14.744641 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()`).
## 2025-01-28 07:01:14.890047 INFO::Creating scatter plot for continuous data, age vs F101
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:15.005488 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()`).
## 2025-01-28 07:01:15.178127 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()`).
## 2025-01-28 07:01:15.311798 INFO::Creating scatter plot for continuous data, age vs F95
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:15.43148 INFO::Creating scatter plot for continuous data, age vs F775
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:15.551895 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()`).
## 2025-01-28 07:01:15.697804 INFO::Creating scatter plot for continuous data, age vs F353
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:15.818341 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()`).
## 2025-01-28 07:01:15.947242 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()`).
## 2025-01-28 07:01:16.092872 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()`).
## 2025-01-28 07:01:16.221648 INFO::Creating scatter plot for continuous data, age vs F295
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:16.343119 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()`).
## 2025-01-28 07:01:16.492331 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()`).
## 2025-01-28 07:01:16.620631 INFO::Creating scatter plot for continuous data, age vs F146
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:16.737221 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()`).
## 2025-01-28 07:01:16.88195 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()`).
## 2025-01-28 07:01:17.009478 INFO::Creating scatter plot for continuous data, age vs F443
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:17.125418 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()`).
## 2025-01-28 07:01:17.264867 INFO::Creating scatter plot for continuous data, age vs F864
## `geom_smooth()` using formula = 'y ~ x'
## 2025-01-28 07:01:17.380412 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()`).
## 2025-01-28 07:01:17.505172 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()`).
## 2025-01-28 07:01:17.643717 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
## 2025-01-28 07:01:19.270103 INFO::Writing all prioritized metabolites to file: Macarron_output/prioritized_metabolites_all.csv
## 2025-01-28 07:01:19.27578 INFO::Writing characterizable prioritized metabolites to file: Macarron_output/prioritized_metabolites_characterizable.csv
## 2025-01-28 07:01:19.290451 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 4.4.2 (2024-10-31)
## 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_1.37.0
##  [3] Biobase_2.67.0              GenomicRanges_1.59.1       
##  [5] GenomeInfoDb_1.43.4         IRanges_2.41.2             
##  [7] S4Vectors_0.45.2            BiocGenerics_0.53.5        
##  [9] generics_0.1.3              MatrixGenerics_1.19.1      
## [11] matrixStats_1.5.0           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_1.1.5             magrittr_2.0.3         
##   [7] compiler_4.4.2          RSQLite_2.3.9           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_0.47.2          labeling_0.4.3         
##  [19] rmarkdown_2.29          preprocessCore_1.69.0   UCSC.utils_1.3.1       
##  [22] bit_4.5.0.1             xfun_0.50               cachem_1.1.0           
##  [25] jsonlite_1.8.9          blob_1.2.4              DelayedArray_0.33.4    
##  [28] BiocParallel_1.41.0     psych_2.4.12            Maaslin2_1.21.0        
##  [31] parallel_4.4.2          cluster_2.1.8           biglm_0.9-3            
##  [34] R6_2.5.1                RColorBrewer_1.1-3      bslib_0.8.0            
##  [37] stringi_1.8.4           rpart_4.1.24            jquerylib_0.1.4        
##  [40] Rcpp_1.0.14             iterators_1.0.14        knitr_1.49             
##  [43] WGCNA_1.73              base64enc_0.1-3         Matrix_1.7-2           
##  [46] splines_4.4.2           nnet_7.3-20             tidyselect_1.2.1       
##  [49] rstudioapi_0.17.1       abind_1.4-8             yaml_2.3.10            
##  [52] doParallel_1.0.17       codetools_0.2-20        plyr_1.8.9             
##  [55] lattice_0.22-6          tibble_3.2.1            withr_3.0.2            
##  [58] KEGGREST_1.47.0         evaluate_1.0.3          foreign_0.8-88         
##  [61] survival_3.8-3          getopt_1.20.4           Biostrings_2.75.3      
##  [64] pillar_1.10.1           BiocManager_1.30.25     checkmate_2.3.2        
##  [67] foreach_1.5.2           pcaPP_2.0-5             ggplot2_3.5.1          
##  [70] munsell_0.5.1           scales_1.3.0            glue_1.8.0             
##  [73] Hmisc_5.2-2             maketools_1.3.1         tools_4.4.2            
##  [76] robustbase_0.99-4-1     sys_3.4.3               data.table_1.16.4      
##  [79] mvtnorm_1.3-3           buildtools_1.0.0        fastcluster_1.2.6      
##  [82] grid_4.4.2              optparse_1.7.5          impute_1.81.0          
##  [85] AnnotationDbi_1.69.0    colorspace_2.1-1        nlme_3.1-167           
##  [88] GenomeInfoDbData_1.2.13 htmlTable_2.4.3         Formula_1.2-5          
##  [91] cli_3.6.3               S4Arrays_1.7.1          dplyr_1.1.4            
##  [94] DEoptimR_1.1-3-1        gtable_0.3.6            hash_2.2.6.3           
##  [97] logging_0.10-108        dynamicTreeCut_1.63-1   sass_0.4.9             
## [100] digest_0.6.37           SparseArray_1.7.4       farver_2.1.2           
## [103] htmlwidgets_1.6.4       memoise_2.0.1           htmltools_0.5.8.1      
## [106] lifecycle_1.0.4         httr_1.4.7              GO.db_3.20.0           
## [109] bit64_4.6.0-1

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.