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)
## 2026-10-08 08:58:24.096943 INFO::Creating output folder.
## 2026-10-08 08:58:24.101839 INFO::Writing function arguments to log file
## Samples with both abundances and metadata: 102
## 2026-10-08 08:58:24.123797 INFO::Summarized Experiment created.
## 2026-10-08 08:58:24.124436 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.
## 2026-10-08 08:58:26.170483 INFO::Distance matrix with 869 metabolic features created.
## Initiating module detection
## 2026-10-08 08:58:26.171225 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.
## 2026-10-08 08:58:26.916162 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"
## 2026-10-08 08:58:27.626123 INFO::Writing function arguments to log file
## 2026-10-08 08:58:27.628331 INFO::Verifying options selected are valid
## 2026-10-08 08:58:27.64404 INFO::Determining format of input files
## 2026-10-08 08:58:27.644478 INFO::Input format is data samples as columns and metadata samples as rows
## 2026-10-08 08:58:27.653298 INFO::Formula for fixed effects: expr ~  diagnosis + age + antibiotics
## 2026-10-08 08:58:27.653916 INFO::Filter data based on min abundance and min prevalence
## 2026-10-08 08:58:27.654186 INFO::Total samples in data: 102
## 2026-10-08 08:58:27.654413 INFO::Min samples required with min abundance for a feature not to be filtered: 0.000000
## 2026-10-08 08:58:27.659803 INFO::Total filtered features: 0
## 2026-10-08 08:58:27.660162 INFO::Filtered feature names from abundance and prevalence filtering:
## 2026-10-08 08:58:27.669517 INFO::Total filtered features with variance filtering: 10
## 2026-10-08 08:58:27.669928 INFO::Filtered feature names from variance filtering: F1, F59, F74, F416, F577, F629, F672, F744, F754, F846
## 2026-10-08 08:58:27.670177 INFO::Running selected normalization method: NONE
## 2026-10-08 08:58:27.670422 INFO::Applying z-score to standardize continuous metadata
## 2026-10-08 08:58:27.679402 INFO::Running selected transform method: NONE
## 2026-10-08 08:58:27.67975 INFO::Running selected analysis method: LM
## 2026-10-08 08:58:27.682017 INFO::Fitting model to feature number 1, F2
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## 2026-10-08 08:58:27.898318 INFO::Fitting model to feature number 156, F165
## 2026-10-08 08:58:27.899535 INFO::Fitting model to feature number 157, F166
## 2026-10-08 08:58:27.900745 INFO::Fitting model to feature number 158, F167
## 2026-10-08 08:58:27.902068 INFO::Fitting model to feature number 159, F168
## 2026-10-08 08:58:27.9034 INFO::Fitting model to feature number 160, F169
## 2026-10-08 08:58:27.904788 INFO::Fitting model to feature number 161, F170
## 2026-10-08 08:58:27.906106 INFO::Fitting model to feature number 162, F171
## 2026-10-08 08:58:27.907363 INFO::Fitting model to feature number 163, F172
## 2026-10-08 08:58:27.90863 INFO::Fitting model to feature number 164, F173
## 2026-10-08 08:58:27.909964 INFO::Fitting model to feature number 165, F174
## 2026-10-08 08:58:27.911219 INFO::Fitting model to feature number 166, F175
## 2026-10-08 08:58:27.912476 INFO::Fitting model to feature number 167, F176
## 2026-10-08 08:58:27.913725 INFO::Fitting model to feature number 168, F177
## 2026-10-08 08:58:27.914988 INFO::Fitting model to feature number 169, F178
## 2026-10-08 08:58:27.91621 INFO::Fitting model to feature number 170, F179
## 2026-10-08 08:58:27.91745 INFO::Fitting model to feature number 171, F180
## 2026-10-08 08:58:27.918694 INFO::Fitting model to feature number 172, F181
## 2026-10-08 08:58:27.919966 INFO::Fitting model to feature number 173, F182
## 2026-10-08 08:58:27.921226 INFO::Fitting model to feature number 174, F183
## 2026-10-08 08:58:27.922433 INFO::Fitting model to feature number 175, F184
## 2026-10-08 08:58:27.923653 INFO::Fitting model to feature number 176, F185
## 2026-10-08 08:58:27.92489 INFO::Fitting model to feature number 177, F186
## 2026-10-08 08:58:27.926189 INFO::Fitting model to feature number 178, F187
## 2026-10-08 08:58:27.927496 INFO::Fitting model to feature number 179, F188
## 2026-10-08 08:58:27.928812 INFO::Fitting model to feature number 180, F189
## 2026-10-08 08:58:27.93007 INFO::Fitting model to feature number 181, F190
## 2026-10-08 08:58:27.931326 INFO::Fitting model to feature number 182, F191
## 2026-10-08 08:58:27.932587 INFO::Fitting model to feature number 183, F192
## 2026-10-08 08:58:27.933896 INFO::Fitting model to feature number 184, F193
## 2026-10-08 08:58:27.935152 INFO::Fitting model to feature number 185, F194
## 2026-10-08 08:58:27.936467 INFO::Fitting model to feature number 186, F195
## 2026-10-08 08:58:27.937789 INFO::Fitting model to feature number 187, F196
## 2026-10-08 08:58:27.939143 INFO::Fitting model to feature number 188, F197
## 2026-10-08 08:58:27.940426 INFO::Fitting model to feature number 189, F198
## 2026-10-08 08:58:27.941704 INFO::Fitting model to feature number 190, F199
## 2026-10-08 08:58:27.943006 INFO::Fitting model to feature number 191, F200
## 2026-10-08 08:58:27.944316 INFO::Fitting model to feature number 192, F201
## 2026-10-08 08:58:27.945542 INFO::Fitting model to feature number 193, F202
## 2026-10-08 08:58:27.946755 INFO::Fitting model to feature number 194, F203
## 2026-10-08 08:58:27.948035 INFO::Fitting model to feature number 195, F204
## 2026-10-08 08:58:27.94925 INFO::Fitting model to feature number 196, F206
## 2026-10-08 08:58:27.950479 INFO::Fitting model to feature number 197, F207
## 2026-10-08 08:58:27.951711 INFO::Fitting model to feature number 198, F208
## 2026-10-08 08:58:27.952955 INFO::Fitting model to feature number 199, F209
## 2026-10-08 08:58:27.954175 INFO::Fitting model to feature number 200, F210
## 2026-10-08 08:58:27.955373 INFO::Fitting model to feature number 201, F211
## 2026-10-08 08:58:27.956572 INFO::Fitting model to feature number 202, F212
## 2026-10-08 08:58:27.957774 INFO::Fitting model to feature number 203, F213
## 2026-10-08 08:58:27.958966 INFO::Fitting model to feature number 204, F214
## 2026-10-08 08:58:27.960153 INFO::Fitting model to feature number 205, F215
## 2026-10-08 08:58:27.961342 INFO::Fitting model to feature number 206, F216
## 2026-10-08 08:58:27.962538 INFO::Fitting model to feature number 207, F217
## 2026-10-08 08:58:27.963763 INFO::Fitting model to feature number 208, F218
## 2026-10-08 08:58:27.965005 INFO::Fitting model to feature number 209, F219
## 2026-10-08 08:58:27.966207 INFO::Fitting model to feature number 210, F220
## 2026-10-08 08:58:27.967401 INFO::Fitting model to feature number 211, F221
## 2026-10-08 08:58:27.968608 INFO::Fitting model to feature number 212, F222
## 2026-10-08 08:58:27.969802 INFO::Fitting model to feature number 213, F223
## 2026-10-08 08:58:27.97101 INFO::Fitting model to feature number 214, F224
## 2026-10-08 08:58:27.972214 INFO::Fitting model to feature number 215, F225
## 2026-10-08 08:58:27.973408 INFO::Fitting model to feature number 216, F226
## 2026-10-08 08:58:27.974603 INFO::Fitting model to feature number 217, F227
## 2026-10-08 08:58:27.975791 INFO::Fitting model to feature number 218, F228
## 2026-10-08 08:58:27.977 INFO::Fitting model to feature number 219, F229
## 2026-10-08 08:58:27.978209 INFO::Fitting model to feature number 220, F230
## 2026-10-08 08:58:27.979421 INFO::Fitting model to feature number 221, F231
## 2026-10-08 08:58:27.980639 INFO::Fitting model to feature number 222, F232
## 2026-10-08 08:58:27.981877 INFO::Fitting model to feature number 223, F233
## 2026-10-08 08:58:27.98311 INFO::Fitting model to feature number 224, F234
## 2026-10-08 08:58:27.984341 INFO::Fitting model to feature number 225, F235
## 2026-10-08 08:58:27.98555 INFO::Fitting model to feature number 226, F236
## 2026-10-08 08:58:27.986763 INFO::Fitting model to feature number 227, F237
## 2026-10-08 08:58:27.987993 INFO::Fitting model to feature number 228, F238
## 2026-10-08 08:58:27.989199 INFO::Fitting model to feature number 229, F239
## 2026-10-08 08:58:27.990395 INFO::Fitting model to feature number 230, F240
## 2026-10-08 08:58:27.991592 INFO::Fitting model to feature number 231, F241
## 2026-10-08 08:58:27.992799 INFO::Fitting model to feature number 232, F242
## 2026-10-08 08:58:27.994023 INFO::Fitting model to feature number 233, F243
## 2026-10-08 08:58:27.99523 INFO::Fitting model to feature number 234, F244
## 2026-10-08 08:58:27.996429 INFO::Fitting model to feature number 235, F245
## 2026-10-08 08:58:27.99763 INFO::Fitting model to feature number 236, F246
## 2026-10-08 08:58:27.998845 INFO::Fitting model to feature number 237, F247
## 2026-10-08 08:58:28.000045 INFO::Fitting model to feature number 238, F248
## 2026-10-08 08:58:28.001246 INFO::Fitting model to feature number 239, F249
## 2026-10-08 08:58:28.002447 INFO::Fitting model to feature number 240, F250
## 2026-10-08 08:58:28.003642 INFO::Fitting model to feature number 241, F252
## 2026-10-08 08:58:28.004847 INFO::Fitting model to feature number 242, F253
## 2026-10-08 08:58:28.006044 INFO::Fitting model to feature number 243, F254
## 2026-10-08 08:58:28.007255 INFO::Fitting model to feature number 244, F255
## 2026-10-08 08:58:28.008446 INFO::Fitting model to feature number 245, F256
## 2026-10-08 08:58:28.009658 INFO::Fitting model to feature number 246, F257
## 2026-10-08 08:58:28.010954 INFO::Fitting model to feature number 247, F259
## 2026-10-08 08:58:28.012155 INFO::Fitting model to feature number 248, F260
## 2026-10-08 08:58:28.013355 INFO::Fitting model to feature number 249, F261
## 2026-10-08 08:58:28.01457 INFO::Fitting model to feature number 250, F262
## 2026-10-08 08:58:28.015776 INFO::Fitting model to feature number 251, F263
## 2026-10-08 08:58:28.017004 INFO::Fitting model to feature number 252, F264
## 2026-10-08 08:58:28.018215 INFO::Fitting model to feature number 253, F265
## 2026-10-08 08:58:28.019414 INFO::Fitting model to feature number 254, F266
## 2026-10-08 08:58:28.020606 INFO::Fitting model to feature number 255, F267
## 2026-10-08 08:58:28.021801 INFO::Fitting model to feature number 256, F269
## 2026-10-08 08:58:28.023004 INFO::Fitting model to feature number 257, F270
## 2026-10-08 08:58:28.02421 INFO::Fitting model to feature number 258, F271
## 2026-10-08 08:58:28.025412 INFO::Fitting model to feature number 259, F272
## 2026-10-08 08:58:28.026611 INFO::Fitting model to feature number 260, F273
## 2026-10-08 08:58:28.027799 INFO::Fitting model to feature number 261, F274
## 2026-10-08 08:58:28.029005 INFO::Fitting model to feature number 262, F276
## 2026-10-08 08:58:28.030216 INFO::Fitting model to feature number 263, F277
## 2026-10-08 08:58:28.03142 INFO::Fitting model to feature number 264, F278
## 2026-10-08 08:58:28.032627 INFO::Fitting model to feature number 265, F279
## 2026-10-08 08:58:28.033852 INFO::Fitting model to feature number 266, F280
## 2026-10-08 08:58:28.035051 INFO::Fitting model to feature number 267, F281
## 2026-10-08 08:58:28.036249 INFO::Fitting model to feature number 268, F282
## 2026-10-08 08:58:28.037451 INFO::Fitting model to feature number 269, F283
## 2026-10-08 08:58:28.038652 INFO::Fitting model to feature number 270, F284
## 2026-10-08 08:58:28.039876 INFO::Fitting model to feature number 271, F285
## 2026-10-08 08:58:28.041067 INFO::Fitting model to feature number 272, F286
## 2026-10-08 08:58:28.042255 INFO::Fitting model to feature number 273, F287
## 2026-10-08 08:58:28.04346 INFO::Fitting model to feature number 274, F288
## 2026-10-08 08:58:28.044657 INFO::Fitting model to feature number 275, F289
## 2026-10-08 08:58:28.045862 INFO::Fitting model to feature number 276, F290
## 2026-10-08 08:58:28.047056 INFO::Fitting model to feature number 277, F292
## 2026-10-08 08:58:28.048254 INFO::Fitting model to feature number 278, F293
## 2026-10-08 08:58:28.04945 INFO::Fitting model to feature number 279, F294
## 2026-10-08 08:58:28.05067 INFO::Fitting model to feature number 280, F295
## 2026-10-08 08:58:28.051885 INFO::Fitting model to feature number 281, F296
## 2026-10-08 08:58:28.053094 INFO::Fitting model to feature number 282, F297
## 2026-10-08 08:58:28.054391 INFO::Fitting model to feature number 283, F298
## 2026-10-08 08:58:28.055672 INFO::Fitting model to feature number 284, F299
## 2026-10-08 08:58:28.056987 INFO::Fitting model to feature number 285, F300
## 2026-10-08 08:58:28.058283 INFO::Fitting model to feature number 286, F301
## 2026-10-08 08:58:28.059601 INFO::Fitting model to feature number 287, F302
## 2026-10-08 08:58:28.060958 INFO::Fitting model to feature number 288, F303
## 2026-10-08 08:58:28.062272 INFO::Fitting model to feature number 289, F304
## 2026-10-08 08:58:28.063579 INFO::Fitting model to feature number 290, F305
## 2026-10-08 08:58:28.064892 INFO::Fitting model to feature number 291, F306
## 2026-10-08 08:58:28.066198 INFO::Fitting model to feature number 292, F307
## 2026-10-08 08:58:28.067505 INFO::Fitting model to feature number 293, F308
## 2026-10-08 08:58:28.068795 INFO::Fitting model to feature number 294, F309
## 2026-10-08 08:58:28.07011 INFO::Fitting model to feature number 295, F310
## 2026-10-08 08:58:28.071404 INFO::Fitting model to feature number 296, F311
## 2026-10-08 08:58:28.0727 INFO::Fitting model to feature number 297, F312
## 2026-10-08 08:58:28.074006 INFO::Fitting model to feature number 298, F313
## 2026-10-08 08:58:28.084748 INFO::Fitting model to feature number 299, F315
## 2026-10-08 08:58:28.086359 INFO::Fitting model to feature number 300, F316
## 2026-10-08 08:58:28.087705 INFO::Fitting model to feature number 301, F317
## 2026-10-08 08:58:28.089006 INFO::Fitting model to feature number 302, F318
## 2026-10-08 08:58:28.090309 INFO::Fitting model to feature number 303, F319
## 2026-10-08 08:58:28.09159 INFO::Fitting model to feature number 304, F320
## 2026-10-08 08:58:28.092859 INFO::Fitting model to feature number 305, F321
## 2026-10-08 08:58:28.094112 INFO::Fitting model to feature number 306, F322
## 2026-10-08 08:58:28.095349 INFO::Fitting model to feature number 307, F323
## 2026-10-08 08:58:28.096601 INFO::Fitting model to feature number 308, F324
## 2026-10-08 08:58:28.097869 INFO::Fitting model to feature number 309, F325
## 2026-10-08 08:58:28.099115 INFO::Fitting model to feature number 310, F326
## 2026-10-08 08:58:28.100356 INFO::Fitting model to feature number 311, F327
## 2026-10-08 08:58:28.101593 INFO::Fitting model to feature number 312, F328
## 2026-10-08 08:58:28.102832 INFO::Fitting model to feature number 313, F329
## 2026-10-08 08:58:28.104061 INFO::Fitting model to feature number 314, F330
## 2026-10-08 08:58:28.105295 INFO::Fitting model to feature number 315, F331
## 2026-10-08 08:58:28.106522 INFO::Fitting model to feature number 316, F332
## 2026-10-08 08:58:28.107758 INFO::Fitting model to feature number 317, F333
## 2026-10-08 08:58:28.109012 INFO::Fitting model to feature number 318, F334
## 2026-10-08 08:58:28.110229 INFO::Fitting model to feature number 319, F335
## 2026-10-08 08:58:28.111462 INFO::Fitting model to feature number 320, F336
## 2026-10-08 08:58:28.112689 INFO::Fitting model to feature number 321, F337
## 2026-10-08 08:58:28.113939 INFO::Fitting model to feature number 322, F338
## 2026-10-08 08:58:28.115164 INFO::Fitting model to feature number 323, F339
## 2026-10-08 08:58:28.116389 INFO::Fitting model to feature number 324, F340
## 2026-10-08 08:58:28.117634 INFO::Fitting model to feature number 325, F342
## 2026-10-08 08:58:28.118906 INFO::Fitting model to feature number 326, F343
## 2026-10-08 08:58:28.120162 INFO::Fitting model to feature number 327, F344
## 2026-10-08 08:58:28.12142 INFO::Fitting model to feature number 328, F345
## 2026-10-08 08:58:28.122786 INFO::Fitting model to feature number 329, F346
## 2026-10-08 08:58:28.124158 INFO::Fitting model to feature number 330, F347
## 2026-10-08 08:58:28.125615 INFO::Fitting model to feature number 331, F348
## 2026-10-08 08:58:28.127085 INFO::Fitting model to feature number 332, F350
## 2026-10-08 08:58:28.128348 INFO::Fitting model to feature number 333, F351
## 2026-10-08 08:58:28.129674 INFO::Fitting model to feature number 334, F352
## 2026-10-08 08:58:28.130917 INFO::Fitting model to feature number 335, F353
## 2026-10-08 08:58:28.13215 INFO::Fitting model to feature number 336, F355
## 2026-10-08 08:58:28.133373 INFO::Fitting model to feature number 337, F356
## 2026-10-08 08:58:28.134602 INFO::Fitting model to feature number 338, F357
## 2026-10-08 08:58:28.135843 INFO::Fitting model to feature number 339, F358
## 2026-10-08 08:58:28.137084 INFO::Fitting model to feature number 340, F359
## 2026-10-08 08:58:28.138309 INFO::Fitting model to feature number 341, F360
## 2026-10-08 08:58:28.139551 INFO::Fitting model to feature number 342, F361
## 2026-10-08 08:58:28.140803 INFO::Fitting model to feature number 343, F362
## 2026-10-08 08:58:28.142051 INFO::Fitting model to feature number 344, F363
## 2026-10-08 08:58:28.143294 INFO::Fitting model to feature number 345, F364
## 2026-10-08 08:58:28.144557 INFO::Fitting model to feature number 346, F365
## 2026-10-08 08:58:28.145881 INFO::Fitting model to feature number 347, F366
## 2026-10-08 08:58:28.147191 INFO::Fitting model to feature number 348, F367
## 2026-10-08 08:58:28.14845 INFO::Fitting model to feature number 349, F368
## 2026-10-08 08:58:28.149685 INFO::Fitting model to feature number 350, F369
## 2026-10-08 08:58:28.150954 INFO::Fitting model to feature number 351, F370
## 2026-10-08 08:58:28.152185 INFO::Fitting model to feature number 352, F371
## 2026-10-08 08:58:28.153421 INFO::Fitting model to feature number 353, F372
## 2026-10-08 08:58:28.154712 INFO::Fitting model to feature number 354, F373
## 2026-10-08 08:58:28.155966 INFO::Fitting model to feature number 355, F374
## 2026-10-08 08:58:28.157201 INFO::Fitting model to feature number 356, F375
## 2026-10-08 08:58:28.158408 INFO::Fitting model to feature number 357, F376
## 2026-10-08 08:58:28.159645 INFO::Fitting model to feature number 358, F377
## 2026-10-08 08:58:28.160889 INFO::Fitting model to feature number 359, F378
## 2026-10-08 08:58:28.162107 INFO::Fitting model to feature number 360, F379
## 2026-10-08 08:58:28.163315 INFO::Fitting model to feature number 361, F380
## 2026-10-08 08:58:28.1646 INFO::Fitting model to feature number 362, F381
## 2026-10-08 08:58:28.165869 INFO::Fitting model to feature number 363, F382
## 2026-10-08 08:58:28.167084 INFO::Fitting model to feature number 364, F383
## 2026-10-08 08:58:28.168293 INFO::Fitting model to feature number 365, F384
## 2026-10-08 08:58:28.169504 INFO::Fitting model to feature number 366, F386
## 2026-10-08 08:58:28.170714 INFO::Fitting model to feature number 367, F387
## 2026-10-08 08:58:28.171944 INFO::Fitting model to feature number 368, F388
## 2026-10-08 08:58:28.173175 INFO::Fitting model to feature number 369, F389
## 2026-10-08 08:58:28.174403 INFO::Fitting model to feature number 370, F390
## 2026-10-08 08:58:28.175614 INFO::Fitting model to feature number 371, F391
## 2026-10-08 08:58:28.176831 INFO::Fitting model to feature number 372, F392
## 2026-10-08 08:58:28.178042 INFO::Fitting model to feature number 373, F393
## 2026-10-08 08:58:28.179249 INFO::Fitting model to feature number 374, F394
## 2026-10-08 08:58:28.180471 INFO::Fitting model to feature number 375, F395
## 2026-10-08 08:58:28.181685 INFO::Fitting model to feature number 376, F396
## 2026-10-08 08:58:28.182908 INFO::Fitting model to feature number 377, F397
## 2026-10-08 08:58:28.184123 INFO::Fitting model to feature number 378, F398
## 2026-10-08 08:58:28.185335 INFO::Fitting model to feature number 379, F399
## 2026-10-08 08:58:28.186538 INFO::Fitting model to feature number 380, F400
## 2026-10-08 08:58:28.187755 INFO::Fitting model to feature number 381, F401
## 2026-10-08 08:58:28.188988 INFO::Fitting model to feature number 382, F402
## 2026-10-08 08:58:28.190215 INFO::Fitting model to feature number 383, F403
## 2026-10-08 08:58:28.191431 INFO::Fitting model to feature number 384, F404
## 2026-10-08 08:58:28.192648 INFO::Fitting model to feature number 385, F406
## 2026-10-08 08:58:28.193881 INFO::Fitting model to feature number 386, F407
## 2026-10-08 08:58:28.195099 INFO::Fitting model to feature number 387, F408
## 2026-10-08 08:58:28.196311 INFO::Fitting model to feature number 388, F409
## 2026-10-08 08:58:28.197525 INFO::Fitting model to feature number 389, F410
## 2026-10-08 08:58:28.19877 INFO::Fitting model to feature number 390, F411
## 2026-10-08 08:58:28.200012 INFO::Fitting model to feature number 391, F412
## 2026-10-08 08:58:28.201235 INFO::Fitting model to feature number 392, F413
## 2026-10-08 08:58:28.202459 INFO::Fitting model to feature number 393, F414
## 2026-10-08 08:58:28.203695 INFO::Fitting model to feature number 394, F415
## 2026-10-08 08:58:28.204995 INFO::Fitting model to feature number 395, F417
## 2026-10-08 08:58:28.206259 INFO::Fitting model to feature number 396, F418
## 2026-10-08 08:58:28.207496 INFO::Fitting model to feature number 397, F419
## 2026-10-08 08:58:28.208752 INFO::Fitting model to feature number 398, F420
## 2026-10-08 08:58:28.210005 INFO::Fitting model to feature number 399, F421
## 2026-10-08 08:58:28.211251 INFO::Fitting model to feature number 400, F422
## 2026-10-08 08:58:28.212491 INFO::Fitting model to feature number 401, F423
## 2026-10-08 08:58:28.213742 INFO::Fitting model to feature number 402, F425
## 2026-10-08 08:58:28.214978 INFO::Fitting model to feature number 403, F426
## 2026-10-08 08:58:28.216194 INFO::Fitting model to feature number 404, F428
## 2026-10-08 08:58:28.217474 INFO::Fitting model to feature number 405, F429
## 2026-10-08 08:58:28.218838 INFO::Fitting model to feature number 406, F430
## 2026-10-08 08:58:28.220155 INFO::Fitting model to feature number 407, F431
## 2026-10-08 08:58:28.221457 INFO::Fitting model to feature number 408, F432
## 2026-10-08 08:58:28.222701 INFO::Fitting model to feature number 409, F433
## 2026-10-08 08:58:28.223955 INFO::Fitting model to feature number 410, F434
## 2026-10-08 08:58:28.225273 INFO::Fitting model to feature number 411, F435
## 2026-10-08 08:58:28.226523 INFO::Fitting model to feature number 412, F436
## 2026-10-08 08:58:28.227767 INFO::Fitting model to feature number 413, F437
## 2026-10-08 08:58:28.229036 INFO::Fitting model to feature number 414, F438
## 2026-10-08 08:58:28.230267 INFO::Fitting model to feature number 415, F439
## 2026-10-08 08:58:28.231517 INFO::Fitting model to feature number 416, F440
## 2026-10-08 08:58:28.232753 INFO::Fitting model to feature number 417, F441
## 2026-10-08 08:58:28.234001 INFO::Fitting model to feature number 418, F442
## 2026-10-08 08:58:28.235256 INFO::Fitting model to feature number 419, F443
## 2026-10-08 08:58:28.236542 INFO::Fitting model to feature number 420, F444
## 2026-10-08 08:58:28.237764 INFO::Fitting model to feature number 421, F445
## 2026-10-08 08:58:28.239 INFO::Fitting model to feature number 422, F446
## 2026-10-08 08:58:28.24022 INFO::Fitting model to feature number 423, F447
## 2026-10-08 08:58:28.241448 INFO::Fitting model to feature number 424, F448
## 2026-10-08 08:58:28.242715 INFO::Fitting model to feature number 425, F449
## 2026-10-08 08:58:28.24406 INFO::Fitting model to feature number 426, F450
## 2026-10-08 08:58:28.245302 INFO::Fitting model to feature number 427, F451
## 2026-10-08 08:58:28.246556 INFO::Fitting model to feature number 428, F452
## 2026-10-08 08:58:28.247809 INFO::Fitting model to feature number 429, F454
## 2026-10-08 08:58:28.249105 INFO::Fitting model to feature number 430, F455
## 2026-10-08 08:58:28.250374 INFO::Fitting model to feature number 431, F456
## 2026-10-08 08:58:28.251647 INFO::Fitting model to feature number 432, F457
## 2026-10-08 08:58:28.252948 INFO::Fitting model to feature number 433, F458
## 2026-10-08 08:58:28.254287 INFO::Fitting model to feature number 434, F459
## 2026-10-08 08:58:28.255561 INFO::Fitting model to feature number 435, F461
## 2026-10-08 08:58:28.256845 INFO::Fitting model to feature number 436, F462
## 2026-10-08 08:58:28.258152 INFO::Fitting model to feature number 437, F463
## 2026-10-08 08:58:28.259441 INFO::Fitting model to feature number 438, F464
## 2026-10-08 08:58:28.260668 INFO::Fitting model to feature number 439, F465
## 2026-10-08 08:58:28.26191 INFO::Fitting model to feature number 440, F466
## 2026-10-08 08:58:28.263148 INFO::Fitting model to feature number 441, F467
## 2026-10-08 08:58:28.264393 INFO::Fitting model to feature number 442, F468
## 2026-10-08 08:58:28.265622 INFO::Fitting model to feature number 443, F469
## 2026-10-08 08:58:28.266887 INFO::Fitting model to feature number 444, F470
## 2026-10-08 08:58:28.26815 INFO::Fitting model to feature number 445, F471
## 2026-10-08 08:58:28.269367 INFO::Fitting model to feature number 446, F474
## 2026-10-08 08:58:28.270579 INFO::Fitting model to feature number 447, F475
## 2026-10-08 08:58:28.271797 INFO::Fitting model to feature number 448, F476
## 2026-10-08 08:58:28.273019 INFO::Fitting model to feature number 449, F477
## 2026-10-08 08:58:28.274224 INFO::Fitting model to feature number 450, F478
## 2026-10-08 08:58:28.275424 INFO::Fitting model to feature number 451, F479
## 2026-10-08 08:58:28.276631 INFO::Fitting model to feature number 452, F480
## 2026-10-08 08:58:28.277903 INFO::Fitting model to feature number 453, F481
## 2026-10-08 08:58:28.279121 INFO::Fitting model to feature number 454, F482
## 2026-10-08 08:58:28.280335 INFO::Fitting model to feature number 455, F483
## 2026-10-08 08:58:28.281551 INFO::Fitting model to feature number 456, F484
## 2026-10-08 08:58:28.282772 INFO::Fitting model to feature number 457, F485
## 2026-10-08 08:58:28.284007 INFO::Fitting model to feature number 458, F486
## 2026-10-08 08:58:28.285216 INFO::Fitting model to feature number 459, F487
## 2026-10-08 08:58:28.286444 INFO::Fitting model to feature number 460, F488
## 2026-10-08 08:58:28.287655 INFO::Fitting model to feature number 461, F489
## 2026-10-08 08:58:28.288884 INFO::Fitting model to feature number 462, F490
## 2026-10-08 08:58:28.290115 INFO::Fitting model to feature number 463, F491
## 2026-10-08 08:58:28.291334 INFO::Fitting model to feature number 464, F492
## 2026-10-08 08:58:28.29257 INFO::Fitting model to feature number 465, F493
## 2026-10-08 08:58:28.293799 INFO::Fitting model to feature number 466, F494
## 2026-10-08 08:58:28.295054 INFO::Fitting model to feature number 467, F495
## 2026-10-08 08:58:28.296297 INFO::Fitting model to feature number 468, F496
## 2026-10-08 08:58:28.297553 INFO::Fitting model to feature number 469, F497
## 2026-10-08 08:58:28.298807 INFO::Fitting model to feature number 470, F498
## 2026-10-08 08:58:28.300047 INFO::Fitting model to feature number 471, F499
## 2026-10-08 08:58:28.301258 INFO::Fitting model to feature number 472, F500
## 2026-10-08 08:58:28.302468 INFO::Fitting model to feature number 473, F501
## 2026-10-08 08:58:28.303685 INFO::Fitting model to feature number 474, F502
## 2026-10-08 08:58:28.304899 INFO::Fitting model to feature number 475, F503
## 2026-10-08 08:58:28.30611 INFO::Fitting model to feature number 476, F504
## 2026-10-08 08:58:28.30732 INFO::Fitting model to feature number 477, F505
## 2026-10-08 08:58:28.308524 INFO::Fitting model to feature number 478, F506
## 2026-10-08 08:58:28.309727 INFO::Fitting model to feature number 479, F507
## 2026-10-08 08:58:28.310945 INFO::Fitting model to feature number 480, F508
## 2026-10-08 08:58:28.312147 INFO::Fitting model to feature number 481, F509
## 2026-10-08 08:58:28.313356 INFO::Fitting model to feature number 482, F510
## 2026-10-08 08:58:28.31456 INFO::Fitting model to feature number 483, F511
## 2026-10-08 08:58:28.315765 INFO::Fitting model to feature number 484, F512
## 2026-10-08 08:58:28.316983 INFO::Fitting model to feature number 485, F513
## 2026-10-08 08:58:28.318181 INFO::Fitting model to feature number 486, F514
## 2026-10-08 08:58:28.319391 INFO::Fitting model to feature number 487, F515
## 2026-10-08 08:58:28.320595 INFO::Fitting model to feature number 488, F516
## 2026-10-08 08:58:28.321798 INFO::Fitting model to feature number 489, F517
## 2026-10-08 08:58:28.323018 INFO::Fitting model to feature number 490, F518
## 2026-10-08 08:58:28.324229 INFO::Fitting model to feature number 491, F519
## 2026-10-08 08:58:28.325426 INFO::Fitting model to feature number 492, F520
## 2026-10-08 08:58:28.326635 INFO::Fitting model to feature number 493, F521
## 2026-10-08 08:58:28.327853 INFO::Fitting model to feature number 494, F522
## 2026-10-08 08:58:28.329052 INFO::Fitting model to feature number 495, F523
## 2026-10-08 08:58:28.330273 INFO::Fitting model to feature number 496, F524
## 2026-10-08 08:58:28.331491 INFO::Fitting model to feature number 497, F525
## 2026-10-08 08:58:28.332695 INFO::Fitting model to feature number 498, F526
## 2026-10-08 08:58:28.333918 INFO::Fitting model to feature number 499, F527
## 2026-10-08 08:58:28.335123 INFO::Fitting model to feature number 500, F528
## 2026-10-08 08:58:28.336315 INFO::Fitting model to feature number 501, F529
## 2026-10-08 08:58:28.337508 INFO::Fitting model to feature number 502, F530
## 2026-10-08 08:58:28.338715 INFO::Fitting model to feature number 503, F531
## 2026-10-08 08:58:28.339936 INFO::Fitting model to feature number 504, F532
## 2026-10-08 08:58:28.341193 INFO::Fitting model to feature number 505, F533
## 2026-10-08 08:58:28.342442 INFO::Fitting model to feature number 506, F534
## 2026-10-08 08:58:28.343718 INFO::Fitting model to feature number 507, F535
## 2026-10-08 08:58:28.344968 INFO::Fitting model to feature number 508, F536
## 2026-10-08 08:58:28.346179 INFO::Fitting model to feature number 509, F537
## 2026-10-08 08:58:28.347379 INFO::Fitting model to feature number 510, F539
## 2026-10-08 08:58:28.348582 INFO::Fitting model to feature number 511, F540
## 2026-10-08 08:58:28.3498 INFO::Fitting model to feature number 512, F541
## 2026-10-08 08:58:28.351031 INFO::Fitting model to feature number 513, F543
## 2026-10-08 08:58:28.352237 INFO::Fitting model to feature number 514, F544
## 2026-10-08 08:58:28.353483 INFO::Fitting model to feature number 515, F545
## 2026-10-08 08:58:28.354728 INFO::Fitting model to feature number 516, F546
## 2026-10-08 08:58:28.355967 INFO::Fitting model to feature number 517, F547
## 2026-10-08 08:58:28.357178 INFO::Fitting model to feature number 518, F548
## 2026-10-08 08:58:28.358376 INFO::Fitting model to feature number 519, F549
## 2026-10-08 08:58:28.359589 INFO::Fitting model to feature number 520, F550
## 2026-10-08 08:58:28.360787 INFO::Fitting model to feature number 521, F551
## 2026-10-08 08:58:28.362004 INFO::Fitting model to feature number 522, F552
## 2026-10-08 08:58:28.363228 INFO::Fitting model to feature number 523, F553
## 2026-10-08 08:58:28.364507 INFO::Fitting model to feature number 524, F554
## 2026-10-08 08:58:28.365732 INFO::Fitting model to feature number 525, F555
## 2026-10-08 08:58:28.366955 INFO::Fitting model to feature number 526, F556
## 2026-10-08 08:58:28.368162 INFO::Fitting model to feature number 527, F557
## 2026-10-08 08:58:28.369364 INFO::Fitting model to feature number 528, F558
## 2026-10-08 08:58:28.370572 INFO::Fitting model to feature number 529, F559
## 2026-10-08 08:58:28.371773 INFO::Fitting model to feature number 530, F560
## 2026-10-08 08:58:28.373012 INFO::Fitting model to feature number 531, F561
## 2026-10-08 08:58:28.374249 INFO::Fitting model to feature number 532, F562
## 2026-10-08 08:58:28.375458 INFO::Fitting model to feature number 533, F563
## 2026-10-08 08:58:28.376676 INFO::Fitting model to feature number 534, F564
## 2026-10-08 08:58:28.377893 INFO::Fitting model to feature number 535, F566
## 2026-10-08 08:58:28.379103 INFO::Fitting model to feature number 536, F567
## 2026-10-08 08:58:28.380327 INFO::Fitting model to feature number 537, F568
## 2026-10-08 08:58:28.38156 INFO::Fitting model to feature number 538, F569
## 2026-10-08 08:58:28.382881 INFO::Fitting model to feature number 539, F570
## 2026-10-08 08:58:28.393535 INFO::Fitting model to feature number 540, F571
## 2026-10-08 08:58:28.395201 INFO::Fitting model to feature number 541, F572
## 2026-10-08 08:58:28.396504 INFO::Fitting model to feature number 542, F573
## 2026-10-08 08:58:28.397781 INFO::Fitting model to feature number 543, F574
## 2026-10-08 08:58:28.399085 INFO::Fitting model to feature number 544, F575
## 2026-10-08 08:58:28.400353 INFO::Fitting model to feature number 545, F576
## 2026-10-08 08:58:28.40161 INFO::Fitting model to feature number 546, F578
## 2026-10-08 08:58:28.402879 INFO::Fitting model to feature number 547, F579
## 2026-10-08 08:58:28.404213 INFO::Fitting model to feature number 548, F580
## 2026-10-08 08:58:28.405494 INFO::Fitting model to feature number 549, F581
## 2026-10-08 08:58:28.406765 INFO::Fitting model to feature number 550, F582
## 2026-10-08 08:58:28.408034 INFO::Fitting model to feature number 551, F583
## 2026-10-08 08:58:28.40928 INFO::Fitting model to feature number 552, F584
## 2026-10-08 08:58:28.410517 INFO::Fitting model to feature number 553, F585
## 2026-10-08 08:58:28.411743 INFO::Fitting model to feature number 554, F586
## 2026-10-08 08:58:28.412981 INFO::Fitting model to feature number 555, F587
## 2026-10-08 08:58:28.414225 INFO::Fitting model to feature number 556, F588
## 2026-10-08 08:58:28.415455 INFO::Fitting model to feature number 557, F589
## 2026-10-08 08:58:28.416691 INFO::Fitting model to feature number 558, F590
## 2026-10-08 08:58:28.417998 INFO::Fitting model to feature number 559, F591
## 2026-10-08 08:58:28.419247 INFO::Fitting model to feature number 560, F592
## 2026-10-08 08:58:28.420492 INFO::Fitting model to feature number 561, F593
## 2026-10-08 08:58:28.421732 INFO::Fitting model to feature number 562, F594
## 2026-10-08 08:58:28.422984 INFO::Fitting model to feature number 563, F595
## 2026-10-08 08:58:28.424219 INFO::Fitting model to feature number 564, F596
## 2026-10-08 08:58:28.425474 INFO::Fitting model to feature number 565, F597
## 2026-10-08 08:58:28.426729 INFO::Fitting model to feature number 566, F598
## 2026-10-08 08:58:28.428025 INFO::Fitting model to feature number 567, F599
## 2026-10-08 08:58:28.429285 INFO::Fitting model to feature number 568, F600
## 2026-10-08 08:58:28.430553 INFO::Fitting model to feature number 569, F601
## 2026-10-08 08:58:28.431944 INFO::Fitting model to feature number 570, F602
## 2026-10-08 08:58:28.433273 INFO::Fitting model to feature number 571, F603
## 2026-10-08 08:58:28.434744 INFO::Fitting model to feature number 572, F605
## 2026-10-08 08:58:28.436203 INFO::Fitting model to feature number 573, F606
## 2026-10-08 08:58:28.437531 INFO::Fitting model to feature number 574, F607
## 2026-10-08 08:58:28.43892 INFO::Fitting model to feature number 575, F608
## 2026-10-08 08:58:28.44016 INFO::Fitting model to feature number 576, F609
## 2026-10-08 08:58:28.441412 INFO::Fitting model to feature number 577, F610
## 2026-10-08 08:58:28.442635 INFO::Fitting model to feature number 578, F611
## 2026-10-08 08:58:28.443898 INFO::Fitting model to feature number 579, F612
## 2026-10-08 08:58:28.445144 INFO::Fitting model to feature number 580, F613
## 2026-10-08 08:58:28.446374 INFO::Fitting model to feature number 581, F614
## 2026-10-08 08:58:28.447608 INFO::Fitting model to feature number 582, F615
## 2026-10-08 08:58:28.448866 INFO::Fitting model to feature number 583, F616
## 2026-10-08 08:58:28.450121 INFO::Fitting model to feature number 584, F617
## 2026-10-08 08:58:28.451374 INFO::Fitting model to feature number 585, F618
## 2026-10-08 08:58:28.452624 INFO::Fitting model to feature number 586, F619
## 2026-10-08 08:58:28.453895 INFO::Fitting model to feature number 587, F620
## 2026-10-08 08:58:28.455149 INFO::Fitting model to feature number 588, F621
## 2026-10-08 08:58:28.456369 INFO::Fitting model to feature number 589, F622
## 2026-10-08 08:58:28.457592 INFO::Fitting model to feature number 590, F623
## 2026-10-08 08:58:28.458839 INFO::Fitting model to feature number 591, F624
## 2026-10-08 08:58:28.460059 INFO::Fitting model to feature number 592, F625
## 2026-10-08 08:58:28.461308 INFO::Fitting model to feature number 593, F626
## 2026-10-08 08:58:28.462542 INFO::Fitting model to feature number 594, F627
## 2026-10-08 08:58:28.463843 INFO::Fitting model to feature number 595, F628
## 2026-10-08 08:58:28.465075 INFO::Fitting model to feature number 596, F630
## 2026-10-08 08:58:28.466298 INFO::Fitting model to feature number 597, F631
## 2026-10-08 08:58:28.467507 INFO::Fitting model to feature number 598, F632
## 2026-10-08 08:58:28.468759 INFO::Fitting model to feature number 599, F633
## 2026-10-08 08:58:28.470012 INFO::Fitting model to feature number 600, F634
## 2026-10-08 08:58:28.471238 INFO::Fitting model to feature number 601, F635
## 2026-10-08 08:58:28.472443 INFO::Fitting model to feature number 602, F636
## 2026-10-08 08:58:28.473643 INFO::Fitting model to feature number 603, F637
## 2026-10-08 08:58:28.474874 INFO::Fitting model to feature number 604, F638
## 2026-10-08 08:58:28.476083 INFO::Fitting model to feature number 605, F639
## 2026-10-08 08:58:28.477289 INFO::Fitting model to feature number 606, F640
## 2026-10-08 08:58:28.478504 INFO::Fitting model to feature number 607, F641
## 2026-10-08 08:58:28.479732 INFO::Fitting model to feature number 608, F642
## 2026-10-08 08:58:28.480988 INFO::Fitting model to feature number 609, F643
## 2026-10-08 08:58:28.482235 INFO::Fitting model to feature number 610, F644
## 2026-10-08 08:58:28.483455 INFO::Fitting model to feature number 611, F645
## 2026-10-08 08:58:28.484669 INFO::Fitting model to feature number 612, F646
## 2026-10-08 08:58:28.485895 INFO::Fitting model to feature number 613, F647
## 2026-10-08 08:58:28.487101 INFO::Fitting model to feature number 614, F648
## 2026-10-08 08:58:28.488317 INFO::Fitting model to feature number 615, F649
## 2026-10-08 08:58:28.489539 INFO::Fitting model to feature number 616, F650
## 2026-10-08 08:58:28.490753 INFO::Fitting model to feature number 617, F651
## 2026-10-08 08:58:28.491981 INFO::Fitting model to feature number 618, F652
## 2026-10-08 08:58:28.493195 INFO::Fitting model to feature number 619, F653
## 2026-10-08 08:58:28.494428 INFO::Fitting model to feature number 620, F654
## 2026-10-08 08:58:28.495632 INFO::Fitting model to feature number 621, F655
## 2026-10-08 08:58:28.496852 INFO::Fitting model to feature number 622, F656
## 2026-10-08 08:58:28.49807 INFO::Fitting model to feature number 623, F657
## 2026-10-08 08:58:28.499289 INFO::Fitting model to feature number 624, F658
## 2026-10-08 08:58:28.500504 INFO::Fitting model to feature number 625, F659
## 2026-10-08 08:58:28.501714 INFO::Fitting model to feature number 626, F660
## 2026-10-08 08:58:28.50295 INFO::Fitting model to feature number 627, F661
## 2026-10-08 08:58:28.504158 INFO::Fitting model to feature number 628, F662
## 2026-10-08 08:58:28.505368 INFO::Fitting model to feature number 629, F663
## 2026-10-08 08:58:28.506587 INFO::Fitting model to feature number 630, F664
## 2026-10-08 08:58:28.507795 INFO::Fitting model to feature number 631, F665
## 2026-10-08 08:58:28.509024 INFO::Fitting model to feature number 632, F666
## 2026-10-08 08:58:28.510301 INFO::Fitting model to feature number 633, F667
## 2026-10-08 08:58:28.511541 INFO::Fitting model to feature number 634, F668
## 2026-10-08 08:58:28.512769 INFO::Fitting model to feature number 635, F669
## 2026-10-08 08:58:28.51403 INFO::Fitting model to feature number 636, F670
## 2026-10-08 08:58:28.51529 INFO::Fitting model to feature number 637, F671
## 2026-10-08 08:58:28.516528 INFO::Fitting model to feature number 638, F673
## 2026-10-08 08:58:28.517756 INFO::Fitting model to feature number 639, F674
## 2026-10-08 08:58:28.519001 INFO::Fitting model to feature number 640, F675
## 2026-10-08 08:58:28.520226 INFO::Fitting model to feature number 641, F676
## 2026-10-08 08:58:28.521456 INFO::Fitting model to feature number 642, F677
## 2026-10-08 08:58:28.522683 INFO::Fitting model to feature number 643, F678
## 2026-10-08 08:58:28.523931 INFO::Fitting model to feature number 644, F679
## 2026-10-08 08:58:28.525143 INFO::Fitting model to feature number 645, F680
## 2026-10-08 08:58:28.526439 INFO::Fitting model to feature number 646, F681
## 2026-10-08 08:58:28.527773 INFO::Fitting model to feature number 647, F682
## 2026-10-08 08:58:28.529095 INFO::Fitting model to feature number 648, F683
## 2026-10-08 08:58:28.530378 INFO::Fitting model to feature number 649, F684
## 2026-10-08 08:58:28.531628 INFO::Fitting model to feature number 650, F685
## 2026-10-08 08:58:28.532884 INFO::Fitting model to feature number 651, F686
## 2026-10-08 08:58:28.534192 INFO::Fitting model to feature number 652, F687
## 2026-10-08 08:58:28.535437 INFO::Fitting model to feature number 653, F688
## 2026-10-08 08:58:28.53669 INFO::Fitting model to feature number 654, F689
## 2026-10-08 08:58:28.537943 INFO::Fitting model to feature number 655, F690
## 2026-10-08 08:58:28.539189 INFO::Fitting model to feature number 656, F691
## 2026-10-08 08:58:28.540423 INFO::Fitting model to feature number 657, F692
## 2026-10-08 08:58:28.541648 INFO::Fitting model to feature number 658, F693
## 2026-10-08 08:58:28.542889 INFO::Fitting model to feature number 659, F694
## 2026-10-08 08:58:28.544144 INFO::Fitting model to feature number 660, F695
## 2026-10-08 08:58:28.545418 INFO::Fitting model to feature number 661, F696
## 2026-10-08 08:58:28.546627 INFO::Fitting model to feature number 662, F697
## 2026-10-08 08:58:28.547848 INFO::Fitting model to feature number 663, F698
## 2026-10-08 08:58:28.549058 INFO::Fitting model to feature number 664, F699
## 2026-10-08 08:58:28.550279 INFO::Fitting model to feature number 665, F700
## 2026-10-08 08:58:28.551551 INFO::Fitting model to feature number 666, F701
## 2026-10-08 08:58:28.552859 INFO::Fitting model to feature number 667, F702
## 2026-10-08 08:58:28.554101 INFO::Fitting model to feature number 668, F704
## 2026-10-08 08:58:28.55535 INFO::Fitting model to feature number 669, F705
## 2026-10-08 08:58:28.556599 INFO::Fitting model to feature number 670, F706
## 2026-10-08 08:58:28.557897 INFO::Fitting model to feature number 671, F707
## 2026-10-08 08:58:28.559162 INFO::Fitting model to feature number 672, F708
## 2026-10-08 08:58:28.56045 INFO::Fitting model to feature number 673, F709
## 2026-10-08 08:58:28.56179 INFO::Fitting model to feature number 674, F710
## 2026-10-08 08:58:28.563144 INFO::Fitting model to feature number 675, F711
## 2026-10-08 08:58:28.564471 INFO::Fitting model to feature number 676, F712
## 2026-10-08 08:58:28.565786 INFO::Fitting model to feature number 677, F713
## 2026-10-08 08:58:28.567083 INFO::Fitting model to feature number 678, F714
## 2026-10-08 08:58:28.56837 INFO::Fitting model to feature number 679, F715
## 2026-10-08 08:58:28.569587 INFO::Fitting model to feature number 680, F716
## 2026-10-08 08:58:28.570832 INFO::Fitting model to feature number 681, F717
## 2026-10-08 08:58:28.572046 INFO::Fitting model to feature number 682, F718
## 2026-10-08 08:58:28.573251 INFO::Fitting model to feature number 683, F719
## 2026-10-08 08:58:28.574481 INFO::Fitting model to feature number 684, F720
## 2026-10-08 08:58:28.575696 INFO::Fitting model to feature number 685, F721
## 2026-10-08 08:58:28.57691 INFO::Fitting model to feature number 686, F722
## 2026-10-08 08:58:28.578107 INFO::Fitting model to feature number 687, F723
## 2026-10-08 08:58:28.579308 INFO::Fitting model to feature number 688, F724
## 2026-10-08 08:58:28.580544 INFO::Fitting model to feature number 689, F725
## 2026-10-08 08:58:28.581772 INFO::Fitting model to feature number 690, F726
## 2026-10-08 08:58:28.582987 INFO::Fitting model to feature number 691, F727
## 2026-10-08 08:58:28.584192 INFO::Fitting model to feature number 692, F728
## 2026-10-08 08:58:28.585409 INFO::Fitting model to feature number 693, F729
## 2026-10-08 08:58:28.586622 INFO::Fitting model to feature number 694, F730
## 2026-10-08 08:58:28.587866 INFO::Fitting model to feature number 695, F731
## 2026-10-08 08:58:28.589081 INFO::Fitting model to feature number 696, F732
## 2026-10-08 08:58:28.5903 INFO::Fitting model to feature number 697, F733
## 2026-10-08 08:58:28.591518 INFO::Fitting model to feature number 698, F734
## 2026-10-08 08:58:28.592749 INFO::Fitting model to feature number 699, F735
## 2026-10-08 08:58:28.59401 INFO::Fitting model to feature number 700, F736
## 2026-10-08 08:58:28.595233 INFO::Fitting model to feature number 701, F737
## 2026-10-08 08:58:28.596436 INFO::Fitting model to feature number 702, F739
## 2026-10-08 08:58:28.597639 INFO::Fitting model to feature number 703, F740
## 2026-10-08 08:58:28.598862 INFO::Fitting model to feature number 704, F741
## 2026-10-08 08:58:28.600073 INFO::Fitting model to feature number 705, F742
## 2026-10-08 08:58:28.601286 INFO::Fitting model to feature number 706, F743
## 2026-10-08 08:58:28.602501 INFO::Fitting model to feature number 707, F745
## 2026-10-08 08:58:28.603736 INFO::Fitting model to feature number 708, F746
## 2026-10-08 08:58:28.605059 INFO::Fitting model to feature number 709, F747
## 2026-10-08 08:58:28.606309 INFO::Fitting model to feature number 710, F748
## 2026-10-08 08:58:28.607538 INFO::Fitting model to feature number 711, F749
## 2026-10-08 08:58:28.608785 INFO::Fitting model to feature number 712, F750
## 2026-10-08 08:58:28.610086 INFO::Fitting model to feature number 713, F751
## 2026-10-08 08:58:28.611313 INFO::Fitting model to feature number 714, F752
## 2026-10-08 08:58:28.612532 INFO::Fitting model to feature number 715, F753
## 2026-10-08 08:58:28.61375 INFO::Fitting model to feature number 716, F755
## 2026-10-08 08:58:28.615041 INFO::Fitting model to feature number 717, F756
## 2026-10-08 08:58:28.616261 INFO::Fitting model to feature number 718, F757
## 2026-10-08 08:58:28.617471 INFO::Fitting model to feature number 719, F758
## 2026-10-08 08:58:28.618711 INFO::Fitting model to feature number 720, F759
## 2026-10-08 08:58:28.619969 INFO::Fitting model to feature number 721, F760
## 2026-10-08 08:58:28.621189 INFO::Fitting model to feature number 722, F761
## 2026-10-08 08:58:28.622398 INFO::Fitting model to feature number 723, F762
## 2026-10-08 08:58:28.623612 INFO::Fitting model to feature number 724, F763
## 2026-10-08 08:58:28.624904 INFO::Fitting model to feature number 725, F764
## 2026-10-08 08:58:28.626132 INFO::Fitting model to feature number 726, F765
## 2026-10-08 08:58:28.627353 INFO::Fitting model to feature number 727, F766
## 2026-10-08 08:58:28.628558 INFO::Fitting model to feature number 728, F767
## 2026-10-08 08:58:28.629771 INFO::Fitting model to feature number 729, F768
## 2026-10-08 08:58:28.631004 INFO::Fitting model to feature number 730, F769
## 2026-10-08 08:58:28.632222 INFO::Fitting model to feature number 731, F770
## 2026-10-08 08:58:28.63344 INFO::Fitting model to feature number 732, F771
## 2026-10-08 08:58:28.634682 INFO::Fitting model to feature number 733, F772
## 2026-10-08 08:58:28.635916 INFO::Fitting model to feature number 734, F773
## 2026-10-08 08:58:28.637132 INFO::Fitting model to feature number 735, F774
## 2026-10-08 08:58:28.638357 INFO::Fitting model to feature number 736, F775
## 2026-10-08 08:58:28.639568 INFO::Fitting model to feature number 737, F776
## 2026-10-08 08:58:28.64078 INFO::Fitting model to feature number 738, F777
## 2026-10-08 08:58:28.642027 INFO::Fitting model to feature number 739, F778
## 2026-10-08 08:58:28.643247 INFO::Fitting model to feature number 740, F779
## 2026-10-08 08:58:28.644463 INFO::Fitting model to feature number 741, F780
## 2026-10-08 08:58:28.645662 INFO::Fitting model to feature number 742, F781
## 2026-10-08 08:58:28.646926 INFO::Fitting model to feature number 743, F782
## 2026-10-08 08:58:28.648156 INFO::Fitting model to feature number 744, F783
## 2026-10-08 08:58:28.649368 INFO::Fitting model to feature number 745, F784
## 2026-10-08 08:58:28.650588 INFO::Fitting model to feature number 746, F785
## 2026-10-08 08:58:28.651805 INFO::Fitting model to feature number 747, F786
## 2026-10-08 08:58:28.653028 INFO::Fitting model to feature number 748, F787
## 2026-10-08 08:58:28.654245 INFO::Fitting model to feature number 749, F788
## 2026-10-08 08:58:28.655451 INFO::Fitting model to feature number 750, F789
## 2026-10-08 08:58:28.656656 INFO::Fitting model to feature number 751, F790
## 2026-10-08 08:58:28.657874 INFO::Fitting model to feature number 752, F791
## 2026-10-08 08:58:28.6591 INFO::Fitting model to feature number 753, F792
## 2026-10-08 08:58:28.660323 INFO::Fitting model to feature number 754, F793
## 2026-10-08 08:58:28.661546 INFO::Fitting model to feature number 755, F794
## 2026-10-08 08:58:28.662761 INFO::Fitting model to feature number 756, F795
## 2026-10-08 08:58:28.66398 INFO::Fitting model to feature number 757, F796
## 2026-10-08 08:58:28.665182 INFO::Fitting model to feature number 758, F797
## 2026-10-08 08:58:28.666387 INFO::Fitting model to feature number 759, F798
## 2026-10-08 08:58:28.667579 INFO::Fitting model to feature number 760, F799
## 2026-10-08 08:58:28.668784 INFO::Fitting model to feature number 761, F800
## 2026-10-08 08:58:28.670016 INFO::Fitting model to feature number 762, F801
## 2026-10-08 08:58:28.671231 INFO::Fitting model to feature number 763, F802
## 2026-10-08 08:58:28.672434 INFO::Fitting model to feature number 764, F803
## 2026-10-08 08:58:28.673637 INFO::Fitting model to feature number 765, F804
## 2026-10-08 08:58:28.674858 INFO::Fitting model to feature number 766, F805
## 2026-10-08 08:58:28.676061 INFO::Fitting model to feature number 767, F806
## 2026-10-08 08:58:28.677262 INFO::Fitting model to feature number 768, F808
## 2026-10-08 08:58:28.678551 INFO::Fitting model to feature number 769, F809
## 2026-10-08 08:58:28.679786 INFO::Fitting model to feature number 770, F810
## 2026-10-08 08:58:28.681013 INFO::Fitting model to feature number 771, F811
## 2026-10-08 08:58:28.682236 INFO::Fitting model to feature number 772, F812
## 2026-10-08 08:58:28.683449 INFO::Fitting model to feature number 773, F813
## 2026-10-08 08:58:28.68465 INFO::Fitting model to feature number 774, F814
## 2026-10-08 08:58:28.685914 INFO::Fitting model to feature number 775, F815
## 2026-10-08 08:58:28.696761 INFO::Fitting model to feature number 776, F816
## 2026-10-08 08:58:28.698345 INFO::Fitting model to feature number 777, F817
## 2026-10-08 08:58:28.699631 INFO::Fitting model to feature number 778, F818
## 2026-10-08 08:58:28.700922 INFO::Fitting model to feature number 779, F819
## 2026-10-08 08:58:28.702196 INFO::Fitting model to feature number 780, F820
## 2026-10-08 08:58:28.703451 INFO::Fitting model to feature number 781, F821
## 2026-10-08 08:58:28.704702 INFO::Fitting model to feature number 782, F822
## 2026-10-08 08:58:28.705968 INFO::Fitting model to feature number 783, F823
## 2026-10-08 08:58:28.707217 INFO::Fitting model to feature number 784, F824
## 2026-10-08 08:58:28.708475 INFO::Fitting model to feature number 785, F825
## 2026-10-08 08:58:28.709737 INFO::Fitting model to feature number 786, F826
## 2026-10-08 08:58:28.711023 INFO::Fitting model to feature number 787, F827
## 2026-10-08 08:58:28.712259 INFO::Fitting model to feature number 788, F828
## 2026-10-08 08:58:28.713486 INFO::Fitting model to feature number 789, F829
## 2026-10-08 08:58:28.714734 INFO::Fitting model to feature number 790, F830
## 2026-10-08 08:58:28.716003 INFO::Fitting model to feature number 791, F831
## 2026-10-08 08:58:28.71725 INFO::Fitting model to feature number 792, F832
## 2026-10-08 08:58:28.718486 INFO::Fitting model to feature number 793, F833
## 2026-10-08 08:58:28.719734 INFO::Fitting model to feature number 794, F834
## 2026-10-08 08:58:28.720989 INFO::Fitting model to feature number 795, F835
## 2026-10-08 08:58:28.722231 INFO::Fitting model to feature number 796, F836
## 2026-10-08 08:58:28.723463 INFO::Fitting model to feature number 797, F837
## 2026-10-08 08:58:28.724703 INFO::Fitting model to feature number 798, F838
## 2026-10-08 08:58:28.725992 INFO::Fitting model to feature number 799, F839
## 2026-10-08 08:58:28.727242 INFO::Fitting model to feature number 800, F840
## 2026-10-08 08:58:28.728498 INFO::Fitting model to feature number 801, F841
## 2026-10-08 08:58:28.72976 INFO::Fitting model to feature number 802, F842
## 2026-10-08 08:58:28.731031 INFO::Fitting model to feature number 803, F843
## 2026-10-08 08:58:28.732289 INFO::Fitting model to feature number 804, F844
## 2026-10-08 08:58:28.733581 INFO::Fitting model to feature number 805, F845
## 2026-10-08 08:58:28.734985 INFO::Fitting model to feature number 806, F847
## 2026-10-08 08:58:28.736297 INFO::Fitting model to feature number 807, F848
## 2026-10-08 08:58:28.737797 INFO::Fitting model to feature number 808, F849
## 2026-10-08 08:58:28.739255 INFO::Fitting model to feature number 809, F850
## 2026-10-08 08:58:28.740495 INFO::Fitting model to feature number 810, F851
## 2026-10-08 08:58:28.74185 INFO::Fitting model to feature number 811, F852
## 2026-10-08 08:58:28.743082 INFO::Fitting model to feature number 812, F853
## 2026-10-08 08:58:28.744336 INFO::Fitting model to feature number 813, F854
## 2026-10-08 08:58:28.745564 INFO::Fitting model to feature number 814, F855
## 2026-10-08 08:58:28.746795 INFO::Fitting model to feature number 815, F856
## 2026-10-08 08:58:28.748062 INFO::Fitting model to feature number 816, F857
## 2026-10-08 08:58:28.749297 INFO::Fitting model to feature number 817, F858
## 2026-10-08 08:58:28.750547 INFO::Fitting model to feature number 818, F859
## 2026-10-08 08:58:28.751807 INFO::Fitting model to feature number 819, F860
## 2026-10-08 08:58:28.753083 INFO::Fitting model to feature number 820, F861
## 2026-10-08 08:58:28.754335 INFO::Fitting model to feature number 821, F862
## 2026-10-08 08:58:28.755584 INFO::Fitting model to feature number 822, F863
## 2026-10-08 08:58:28.75685 INFO::Fitting model to feature number 823, F864
## 2026-10-08 08:58:28.758108 INFO::Fitting model to feature number 824, F865
## 2026-10-08 08:58:28.759363 INFO::Fitting model to feature number 825, F866
## 2026-10-08 08:58:28.760587 INFO::Fitting model to feature number 826, F867
## 2026-10-08 08:58:28.761813 INFO::Fitting model to feature number 827, F868
## 2026-10-08 08:58:28.763051 INFO::Fitting model to feature number 828, F869
## 2026-10-08 08:58:28.764356 INFO::Fitting model to feature number 829, F870
## 2026-10-08 08:58:28.76564 INFO::Fitting model to feature number 830, F871
## 2026-10-08 08:58:28.766952 INFO::Fitting model to feature number 831, F872
## 2026-10-08 08:58:28.768173 INFO::Fitting model to feature number 832, F873
## 2026-10-08 08:58:28.769436 INFO::Fitting model to feature number 833, F874
## 2026-10-08 08:58:28.770692 INFO::Fitting model to feature number 834, F875
## 2026-10-08 08:58:28.771982 INFO::Fitting model to feature number 835, F876
## 2026-10-08 08:58:28.773212 INFO::Fitting model to feature number 836, F877
## 2026-10-08 08:58:28.774446 INFO::Fitting model to feature number 837, F878
## 2026-10-08 08:58:28.775674 INFO::Fitting model to feature number 838, F879
## 2026-10-08 08:58:28.776896 INFO::Fitting model to feature number 839, F880
## 2026-10-08 08:58:28.778109 INFO::Fitting model to feature number 840, F881
## 2026-10-08 08:58:28.77933 INFO::Fitting model to feature number 841, F882
## 2026-10-08 08:58:28.780597 INFO::Fitting model to feature number 842, F883
## 2026-10-08 08:58:28.781867 INFO::Fitting model to feature number 843, F884
## 2026-10-08 08:58:28.783089 INFO::Fitting model to feature number 844, F885
## 2026-10-08 08:58:28.784323 INFO::Fitting model to feature number 845, F886
## 2026-10-08 08:58:28.785549 INFO::Fitting model to feature number 846, F887
## 2026-10-08 08:58:28.786788 INFO::Fitting model to feature number 847, F888
## 2026-10-08 08:58:28.788053 INFO::Fitting model to feature number 848, F889
## 2026-10-08 08:58:28.789302 INFO::Fitting model to feature number 849, F890
## 2026-10-08 08:58:28.790536 INFO::Fitting model to feature number 850, F891
## 2026-10-08 08:58:28.791794 INFO::Fitting model to feature number 851, F892
## 2026-10-08 08:58:28.79305 INFO::Fitting model to feature number 852, F893
## 2026-10-08 08:58:28.794282 INFO::Fitting model to feature number 853, F894
## 2026-10-08 08:58:28.795506 INFO::Fitting model to feature number 854, F895
## 2026-10-08 08:58:28.796724 INFO::Fitting model to feature number 855, F896
## 2026-10-08 08:58:28.79799 INFO::Fitting model to feature number 856, F897
## 2026-10-08 08:58:28.799225 INFO::Fitting model to feature number 857, F898
## 2026-10-08 08:58:28.800451 INFO::Fitting model to feature number 858, F899
## 2026-10-08 08:58:28.801714 INFO::Fitting model to feature number 859, F900
## 2026-10-08 08:58:28.868239 INFO::Counting total values for each feature
## 2026-10-08 08:58:28.912731 INFO::Writing filtered data to file Macarron_output/maaslin2_results/features/filtered_data.tsv
## 2026-10-08 08:58:28.945641 INFO::Writing filtered, normalized data to file Macarron_output/maaslin2_results/features/filtered_data_norm.tsv
## 2026-10-08 08:58:28.978915 INFO::Writing filtered, normalized, transformed data to file Macarron_output/maaslin2_results/features/filtered_data_norm_transformed.tsv
## 2026-10-08 08:58:29.014221 INFO::Writing residuals to file Macarron_output/maaslin2_results/fits/residuals.rds
## 2026-10-08 08:58:29.034563 INFO::Writing fitted values to file Macarron_output/maaslin2_results/fits/fitted.rds
## 2026-10-08 08:58:29.051277 INFO::Writing all results to file (ordered by increasing q-values): Macarron_output/maaslin2_results/all_results.tsv
## 2026-10-08 08:58:29.056921 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
## 2026-10-08 08:58:29.059706 INFO::Writing association plots (one for each significant association) to output folder: Macarron_output/maaslin2_results
## 2026-10-08 08:58:29.066664 INFO::Plotting associations from most to least significant, grouped by metadata
## 2026-10-08 08:58:29.067087 INFO::Plotting data for metadata number 1, diagnosis
## 2026-10-08 08:58:29.084562 INFO::Creating boxplot for categorical data, diagnosis vs F504
## 2026-10-08 08:58:29.782484 INFO::Creating boxplot for categorical data, diagnosis vs F859
## 2026-10-08 08:58:29.890912 INFO::Creating boxplot for categorical data, diagnosis vs F533
## 2026-10-08 08:58:30.004065 INFO::Creating boxplot for categorical data, diagnosis vs F587
## 2026-10-08 08:58:30.106699 INFO::Creating boxplot for categorical data, diagnosis vs F584
## 2026-10-08 08:58:30.215345 INFO::Creating boxplot for categorical data, diagnosis vs F197
## 2026-10-08 08:58:30.315935 INFO::Creating boxplot for categorical data, diagnosis vs F380
## 2026-10-08 08:58:30.418674 INFO::Creating boxplot for categorical data, diagnosis vs F829
## 2026-10-08 08:58:30.525854 INFO::Creating boxplot for categorical data, diagnosis vs F664
## 2026-10-08 08:58:30.627641 INFO::Creating boxplot for categorical data, diagnosis vs F93
## 2026-10-08 08:58:30.735581 INFO::Creating boxplot for categorical data, diagnosis vs F15
## 2026-10-08 08:58:30.83656 INFO::Creating boxplot for categorical data, diagnosis vs F881
## 2026-10-08 08:58:30.944 INFO::Creating boxplot for categorical data, diagnosis vs F806
## 2026-10-08 08:58:31.045711 INFO::Creating boxplot for categorical data, diagnosis vs F78
## 2026-10-08 08:58:31.154018 INFO::Creating boxplot for categorical data, diagnosis vs F189
## 2026-10-08 08:58:31.256725 INFO::Creating boxplot for categorical data, diagnosis vs F369
## 2026-10-08 08:58:31.360023 INFO::Creating boxplot for categorical data, diagnosis vs F623
## 2026-10-08 08:58:31.508287 INFO::Creating boxplot for categorical data, diagnosis vs F710
## 2026-10-08 08:58:31.613492 INFO::Creating boxplot for categorical data, diagnosis vs F851
## 2026-10-08 08:58:31.727274 INFO::Creating boxplot for categorical data, diagnosis vs F257
## 2026-10-08 08:58:31.83033 INFO::Creating boxplot for categorical data, diagnosis vs F330
## 2026-10-08 08:58:31.938086 INFO::Creating boxplot for categorical data, diagnosis vs F344
## 2026-10-08 08:58:32.037818 INFO::Creating boxplot for categorical data, diagnosis vs F696
## 2026-10-08 08:58:32.144209 INFO::Creating boxplot for categorical data, diagnosis vs F741
## 2026-10-08 08:58:32.244136 INFO::Creating boxplot for categorical data, diagnosis vs F509
## 2026-10-08 08:58:32.344573 INFO::Creating boxplot for categorical data, diagnosis vs F479
## 2026-10-08 08:58:32.453864 INFO::Creating boxplot for categorical data, diagnosis vs F550
## 2026-10-08 08:58:32.553771 INFO::Creating boxplot for categorical data, diagnosis vs F640
## 2026-10-08 08:58:32.662173 INFO::Creating boxplot for categorical data, diagnosis vs F281
## 2026-10-08 08:58:32.761836 INFO::Creating boxplot for categorical data, diagnosis vs F80
## 2026-10-08 08:58:32.869855 INFO::Creating boxplot for categorical data, diagnosis vs F285
## 2026-10-08 08:58:32.976078 INFO::Creating boxplot for categorical data, diagnosis vs F531
## 2026-10-08 08:58:33.087902 INFO::Creating boxplot for categorical data, diagnosis vs F737
## 2026-10-08 08:58:33.190661 INFO::Creating boxplot for categorical data, diagnosis vs F875
## 2026-10-08 08:58:33.298956 INFO::Creating boxplot for categorical data, diagnosis vs F864
## 2026-10-08 08:58:33.39898 INFO::Creating boxplot for categorical data, diagnosis vs F379
## 2026-10-08 08:58:33.499863 INFO::Creating boxplot for categorical data, diagnosis vs F190
## 2026-10-08 08:58:33.608048 INFO::Creating boxplot for categorical data, diagnosis vs F4
## 2026-10-08 08:58:33.710123 INFO::Creating boxplot for categorical data, diagnosis vs F591
## 2026-10-08 08:58:33.819992 INFO::Creating boxplot for categorical data, diagnosis vs F773
## 2026-10-08 08:58:33.920281 INFO::Creating boxplot for categorical data, diagnosis vs F283
## 2026-10-08 08:58:34.028083 INFO::Creating boxplot for categorical data, diagnosis vs F233
## 2026-10-08 08:58:34.127923 INFO::Creating boxplot for categorical data, diagnosis vs F420
## 2026-10-08 08:58:34.236628 INFO::Creating boxplot for categorical data, diagnosis vs F5
## 2026-10-08 08:58:34.336899 INFO::Creating boxplot for categorical data, diagnosis vs F137
## 2026-10-08 08:58:34.447216 INFO::Creating boxplot for categorical data, diagnosis vs F215
## 2026-10-08 08:58:34.551802 INFO::Creating boxplot for categorical data, diagnosis vs F489
## 2026-10-08 08:58:34.663664 INFO::Creating boxplot for categorical data, diagnosis vs F220
## 2026-10-08 08:58:34.769527 INFO::Creating boxplot for categorical data, diagnosis vs F691
## 2026-10-08 08:58:34.881957 INFO::Creating boxplot for categorical data, diagnosis vs F381
## 2026-10-08 08:58:34.986405 INFO::Creating boxplot for categorical data, diagnosis vs F539
## 2026-10-08 08:58:35.098108 INFO::Creating boxplot for categorical data, diagnosis vs F490
## 2026-10-08 08:58:35.201701 INFO::Creating boxplot for categorical data, diagnosis vs F832
## 2026-10-08 08:58:35.314217 INFO::Creating boxplot for categorical data, diagnosis vs F396
## 2026-10-08 08:58:35.418762 INFO::Creating boxplot for categorical data, diagnosis vs F528
## 2026-10-08 08:58:35.532352 INFO::Creating boxplot for categorical data, diagnosis vs F178
## 2026-10-08 08:58:35.637667 INFO::Creating boxplot for categorical data, diagnosis vs F761
## 2026-10-08 08:58:35.751323 INFO::Creating boxplot for categorical data, diagnosis vs F2
## 2026-10-08 08:58:35.859203 INFO::Creating boxplot for categorical data, diagnosis vs F260
## 2026-10-08 08:58:35.972461 INFO::Creating boxplot for categorical data, diagnosis vs F234
## 2026-10-08 08:58:36.076875 INFO::Creating boxplot for categorical data, diagnosis vs F734
## 2026-10-08 08:58:36.236669 INFO::Creating boxplot for categorical data, diagnosis vs F429
## 2026-10-08 08:58:36.350685 INFO::Creating boxplot for categorical data, diagnosis vs F630
## 2026-10-08 08:58:36.458207 INFO::Creating boxplot for categorical data, diagnosis vs F817
## 2026-10-08 08:58:36.585693 INFO::Creating boxplot for categorical data, diagnosis vs F847
## 2026-10-08 08:58:36.695762 INFO::Creating boxplot for categorical data, diagnosis vs F896
## 2026-10-08 08:58:36.821751 INFO::Creating boxplot for categorical data, diagnosis vs F81
## 2026-10-08 08:58:36.932806 INFO::Creating boxplot for categorical data, diagnosis vs F110
## 2026-10-08 08:58:37.056951 INFO::Creating boxplot for categorical data, diagnosis vs F3
## 2026-10-08 08:58:37.169235 INFO::Creating boxplot for categorical data, diagnosis vs F33
## 2026-10-08 08:58:37.293901 INFO::Creating boxplot for categorical data, diagnosis vs F270
## 2026-10-08 08:58:37.406219 INFO::Creating boxplot for categorical data, diagnosis vs F278
## 2026-10-08 08:58:37.513271 INFO::Creating boxplot for categorical data, diagnosis vs F264
## 2026-10-08 08:58:37.642266 INFO::Creating boxplot for categorical data, diagnosis vs F403
## 2026-10-08 08:58:37.751486 INFO::Creating boxplot for categorical data, diagnosis vs F90
## 2026-10-08 08:58:37.877553 INFO::Creating boxplot for categorical data, diagnosis vs F800
## 2026-10-08 08:58:37.989908 INFO::Creating boxplot for categorical data, diagnosis vs F394
## 2026-10-08 08:58:38.115274 INFO::Creating boxplot for categorical data, diagnosis vs F727
## 2026-10-08 08:58:38.227064 INFO::Creating boxplot for categorical data, diagnosis vs F439
## 2026-10-08 08:58:38.351493 INFO::Creating boxplot for categorical data, diagnosis vs F554
## 2026-10-08 08:58:38.462652 INFO::Creating boxplot for categorical data, diagnosis vs F559
## 2026-10-08 08:58:38.585602 INFO::Creating boxplot for categorical data, diagnosis vs F548
## 2026-10-08 08:58:38.701584 INFO::Creating boxplot for categorical data, diagnosis vs F794
## 2026-10-08 08:58:38.826319 INFO::Creating boxplot for categorical data, diagnosis vs F45
## 2026-10-08 08:58:38.947695 INFO::Creating boxplot for categorical data, diagnosis vs F158
## 2026-10-08 08:58:39.057344 INFO::Creating boxplot for categorical data, diagnosis vs F477
## 2026-10-08 08:58:39.188148 INFO::Creating boxplot for categorical data, diagnosis vs F862
## 2026-10-08 08:58:39.299549 INFO::Creating boxplot for categorical data, diagnosis vs F803
## 2026-10-08 08:58:39.427885 INFO::Creating boxplot for categorical data, diagnosis vs F751
## 2026-10-08 08:58:39.537016 INFO::Creating boxplot for categorical data, diagnosis vs F98
## 2026-10-08 08:58:39.664575 INFO::Creating boxplot for categorical data, diagnosis vs F22
## 2026-10-08 08:58:39.777677 INFO::Creating boxplot for categorical data, diagnosis vs F625
## 2026-10-08 08:58:39.907548 INFO::Creating boxplot for categorical data, diagnosis vs F779
## 2026-10-08 08:58:40.023401 INFO::Creating boxplot for categorical data, diagnosis vs F206
## 2026-10-08 08:58:40.156147 INFO::Creating boxplot for categorical data, diagnosis vs F532
## 2026-10-08 08:58:40.273877 INFO::Creating boxplot for categorical data, diagnosis vs F676
## 2026-10-08 08:58:40.405068 INFO::Creating boxplot for categorical data, diagnosis vs F644
## 2026-10-08 08:58:40.519924 INFO::Creating boxplot for categorical data, diagnosis vs F7
## 2026-10-08 08:58:40.646597 INFO::Creating boxplot for categorical data, diagnosis vs F596
## 2026-10-08 08:58:40.760003 INFO::Creating boxplot for categorical data, diagnosis vs F250
## 2026-10-08 08:58:40.888758 INFO::Creating boxplot for categorical data, diagnosis vs F462
## 2026-10-08 08:58:41.002924 INFO::Creating boxplot for categorical data, diagnosis vs F516
## 2026-10-08 08:58:41.130625 INFO::Creating boxplot for categorical data, diagnosis vs F659
## 2026-10-08 08:58:41.244524 INFO::Creating boxplot for categorical data, diagnosis vs F663
## 2026-10-08 08:58:41.371383 INFO::Creating boxplot for categorical data, diagnosis vs F837
## 2026-10-08 08:58:41.484224 INFO::Creating boxplot for categorical data, diagnosis vs F138
## 2026-10-08 08:58:42.191849 INFO::Creating boxplot for categorical data, diagnosis vs F445
## 2026-10-08 08:58:42.29864 INFO::Creating boxplot for categorical data, diagnosis vs F697
## 2026-10-08 08:58:42.414757 INFO::Creating boxplot for categorical data, diagnosis vs F225
## 2026-10-08 08:58:42.519751 INFO::Creating boxplot for categorical data, diagnosis vs F148
## 2026-10-08 08:58:42.623009 INFO::Creating boxplot for categorical data, diagnosis vs F448
## 2026-10-08 08:58:42.734642 INFO::Creating boxplot for categorical data, diagnosis vs F665
## 2026-10-08 08:58:42.842108 INFO::Creating boxplot for categorical data, diagnosis vs F123
## 2026-10-08 08:58:42.952855 INFO::Creating boxplot for categorical data, diagnosis vs F91
## 2026-10-08 08:58:43.059606 INFO::Creating boxplot for categorical data, diagnosis vs F845
## 2026-10-08 08:58:43.171319 INFO::Creating boxplot for categorical data, diagnosis vs F331
## 2026-10-08 08:58:43.286989 INFO::Creating boxplot for categorical data, diagnosis vs F361
## 2026-10-08 08:58:43.406767 INFO::Creating boxplot for categorical data, diagnosis vs F421
## 2026-10-08 08:58:43.516209 INFO::Creating boxplot for categorical data, diagnosis vs F277
## 2026-10-08 08:58:43.620861 INFO::Creating boxplot for categorical data, diagnosis vs F307
## 2026-10-08 08:58:43.732631 INFO::Creating boxplot for categorical data, diagnosis vs F503
## 2026-10-08 08:58:43.836246 INFO::Creating boxplot for categorical data, diagnosis vs F34
## 2026-10-08 08:58:43.946494 INFO::Creating boxplot for categorical data, diagnosis vs F649
## 2026-10-08 08:58:44.05521 INFO::Creating boxplot for categorical data, diagnosis vs F298
## 2026-10-08 08:58:44.172331 INFO::Creating boxplot for categorical data, diagnosis vs F461
## 2026-10-08 08:58:44.284975 INFO::Creating boxplot for categorical data, diagnosis vs F375
## 2026-10-08 08:58:44.400684 INFO::Creating boxplot for categorical data, diagnosis vs F242
## 2026-10-08 08:58:44.512446 INFO::Creating boxplot for categorical data, diagnosis vs F648
## 2026-10-08 08:58:44.669633 INFO::Creating boxplot for categorical data, diagnosis vs F724
## 2026-10-08 08:58:44.777936 INFO::Creating boxplot for categorical data, diagnosis vs F678
## 2026-10-08 08:58:44.891565 INFO::Creating boxplot for categorical data, diagnosis vs F261
## 2026-10-08 08:58:44.996295 INFO::Creating boxplot for categorical data, diagnosis vs F290
## 2026-10-08 08:58:45.109715 INFO::Creating boxplot for categorical data, diagnosis vs F743
## 2026-10-08 08:58:45.219584 INFO::Creating boxplot for categorical data, diagnosis vs F495
## 2026-10-08 08:58:45.327327 INFO::Creating boxplot for categorical data, diagnosis vs F825
## 2026-10-08 08:58:45.438993 INFO::Creating boxplot for categorical data, diagnosis vs F43
## 2026-10-08 08:58:45.545462 INFO::Creating boxplot for categorical data, diagnosis vs F714
## 2026-10-08 08:58:45.656918 INFO::Creating boxplot for categorical data, diagnosis vs F131
## 2026-10-08 08:58:45.762887 INFO::Creating boxplot for categorical data, diagnosis vs F150
## 2026-10-08 08:58:45.876173 INFO::Creating boxplot for categorical data, diagnosis vs F651
## 2026-10-08 08:58:45.984863 INFO::Creating boxplot for categorical data, diagnosis vs F798
## 2026-10-08 08:58:46.09884 INFO::Creating boxplot for categorical data, diagnosis vs F199
## 2026-10-08 08:58:46.20891 INFO::Creating boxplot for categorical data, diagnosis vs F289
## 2026-10-08 08:58:46.322769 INFO::Creating boxplot for categorical data, diagnosis vs F661
## 2026-10-08 08:58:46.434078 INFO::Creating boxplot for categorical data, diagnosis vs F406
## 2026-10-08 08:58:46.551089 INFO::Creating boxplot for categorical data, diagnosis vs F139
## 2026-10-08 08:58:46.659951 INFO::Creating boxplot for categorical data, diagnosis vs F506
## 2026-10-08 08:58:46.777171 INFO::Creating boxplot for categorical data, diagnosis vs F552
## 2026-10-08 08:58:46.888642 INFO::Creating boxplot for categorical data, diagnosis vs F430
## 2026-10-08 08:58:47.009195 INFO::Creating boxplot for categorical data, diagnosis vs F94
## 2026-10-08 08:58:47.124126 INFO::Creating boxplot for categorical data, diagnosis vs F639
## 2026-10-08 08:58:47.287304 INFO::Creating boxplot for categorical data, diagnosis vs F500
## 2026-10-08 08:58:47.400442 INFO::Creating boxplot for categorical data, diagnosis vs F609
## 2026-10-08 08:58:47.525486 INFO::Creating boxplot for categorical data, diagnosis vs F306
## 2026-10-08 08:58:47.637608 INFO::Creating boxplot for categorical data, diagnosis vs F507
## 2026-10-08 08:58:47.804671 INFO::Creating boxplot for categorical data, diagnosis vs F671
## 2026-10-08 08:58:47.921568 INFO::Creating boxplot for categorical data, diagnosis vs F894
## 2026-10-08 08:58:48.03561 INFO::Creating boxplot for categorical data, diagnosis vs F195
## 2026-10-08 08:58:48.159305 INFO::Creating boxplot for categorical data, diagnosis vs F345
## 2026-10-08 08:58:48.271209 INFO::Creating boxplot for categorical data, diagnosis vs F801
## 2026-10-08 08:58:48.397662 INFO::Creating boxplot for categorical data, diagnosis vs F194
## 2026-10-08 08:58:48.511471 INFO::Creating boxplot for categorical data, diagnosis vs F119
## 2026-10-08 08:58:48.635899 INFO::Creating boxplot for categorical data, diagnosis vs F231
## 2026-10-08 08:58:48.749984 INFO::Creating boxplot for categorical data, diagnosis vs F120
## 2026-10-08 08:58:48.876227 INFO::Creating boxplot for categorical data, diagnosis vs F311
## 2026-10-08 08:58:48.989145 INFO::Creating boxplot for categorical data, diagnosis vs F646
## 2026-10-08 08:58:49.114234 INFO::Creating boxplot for categorical data, diagnosis vs F814
## 2026-10-08 08:58:49.228197 INFO::Creating boxplot for categorical data, diagnosis vs F510
## 2026-10-08 08:58:49.354593 INFO::Creating boxplot for categorical data, diagnosis vs F398
## 2026-10-08 08:58:49.472754 INFO::Creating boxplot for categorical data, diagnosis vs F60
## 2026-10-08 08:58:49.583067 INFO::Creating boxplot for categorical data, diagnosis vs F153
## 2026-10-08 08:58:49.711792 INFO::Creating boxplot for categorical data, diagnosis vs F858
## 2026-10-08 08:58:49.82405 INFO::Creating boxplot for categorical data, diagnosis vs F684
## 2026-10-08 08:58:49.951526 INFO::Creating boxplot for categorical data, diagnosis vs F775
## 2026-10-08 08:58:50.06284 INFO::Creating boxplot for categorical data, diagnosis vs F384
## 2026-10-08 08:58:50.191134 INFO::Creating boxplot for categorical data, diagnosis vs F134
## 2026-10-08 08:58:50.303696 INFO::Creating boxplot for categorical data, diagnosis vs F670
## 2026-10-08 08:58:50.42801 INFO::Creating boxplot for categorical data, diagnosis vs F376
## 2026-10-08 08:58:50.538666 INFO::Creating boxplot for categorical data, diagnosis vs F632
## 2026-10-08 08:58:50.662964 INFO::Creating boxplot for categorical data, diagnosis vs F721
## 2026-10-08 08:58:50.772544 INFO::Creating boxplot for categorical data, diagnosis vs F700
## 2026-10-08 08:58:50.894958 INFO::Creating boxplot for categorical data, diagnosis vs F301
## 2026-10-08 08:58:51.00393 INFO::Creating boxplot for categorical data, diagnosis vs F27
## 2026-10-08 08:58:51.13047 INFO::Creating boxplot for categorical data, diagnosis vs F391
## 2026-10-08 08:58:51.244798 INFO::Creating boxplot for categorical data, diagnosis vs F725
## 2026-10-08 08:58:51.372091 INFO::Creating boxplot for categorical data, diagnosis vs F186
## 2026-10-08 08:58:51.485346 INFO::Creating boxplot for categorical data, diagnosis vs F481
## 2026-10-08 08:58:51.610152 INFO::Creating boxplot for categorical data, diagnosis vs F280
## 2026-10-08 08:58:51.724044 INFO::Creating boxplot for categorical data, diagnosis vs F333
## 2026-10-08 08:58:51.850757 INFO::Creating boxplot for categorical data, diagnosis vs F720
## 2026-10-08 08:58:51.965945 INFO::Creating boxplot for categorical data, diagnosis vs F520
## 2026-10-08 08:58:52.09641 INFO::Creating boxplot for categorical data, diagnosis vs F129
## 2026-10-08 08:58:52.211856 INFO::Creating boxplot for categorical data, diagnosis vs F204
## 2026-10-08 08:58:52.343971 INFO::Creating boxplot for categorical data, diagnosis vs F259
## 2026-10-08 08:58:52.463498 INFO::Creating boxplot for categorical data, diagnosis vs F831
## 2026-10-08 08:58:52.651094 INFO::Creating boxplot for categorical data, diagnosis vs F113
## 2026-10-08 08:58:52.771225 INFO::Creating boxplot for categorical data, diagnosis vs F891
## 2026-10-08 08:58:52.905334 INFO::Creating boxplot for categorical data, diagnosis vs F262
## 2026-10-08 08:58:53.023877 INFO::Creating boxplot for categorical data, diagnosis vs F592
## 2026-10-08 08:58:53.144499 INFO::Creating boxplot for categorical data, diagnosis vs F343
## 2026-10-08 08:58:53.279535 INFO::Creating boxplot for categorical data, diagnosis vs F505
## 2026-10-08 08:58:53.39691 INFO::Creating boxplot for categorical data, diagnosis vs F622
## 2026-10-08 08:58:53.527153 INFO::Creating boxplot for categorical data, diagnosis vs F348
## 2026-10-08 08:58:53.646966 INFO::Creating boxplot for categorical data, diagnosis vs F133
## 2026-10-08 08:58:53.777552 INFO::Creating boxplot for categorical data, diagnosis vs F371
## 2026-10-08 08:58:53.899513 INFO::Creating boxplot for categorical data, diagnosis vs F399
## 2026-10-08 08:58:54.028415 INFO::Creating boxplot for categorical data, diagnosis vs F657
## 2026-10-08 08:58:54.14806 INFO::Creating boxplot for categorical data, diagnosis vs F241
## 2026-10-08 08:58:54.276636 INFO::Creating boxplot for categorical data, diagnosis vs F95
## 2026-10-08 08:58:54.398445 INFO::Creating boxplot for categorical data, diagnosis vs F128
## 2026-10-08 08:58:54.517264 INFO::Creating boxplot for categorical data, diagnosis vs F595
## 2026-10-08 08:58:54.649985 INFO::Creating boxplot for categorical data, diagnosis vs F428
## 2026-10-08 08:58:54.770615 INFO::Creating boxplot for categorical data, diagnosis vs F796
## 2026-10-08 08:58:54.900196 INFO::Creating boxplot for categorical data, diagnosis vs F709
## 2026-10-08 08:58:55.024703 INFO::Creating boxplot for categorical data, diagnosis vs F336
## 2026-10-08 08:58:55.159977 INFO::Creating boxplot for categorical data, diagnosis vs F602
## 2026-10-08 08:58:55.280203 INFO::Creating boxplot for categorical data, diagnosis vs F108
## 2026-10-08 08:58:55.412236 INFO::Creating boxplot for categorical data, diagnosis vs F867
## 2026-10-08 08:58:55.532913 INFO::Creating boxplot for categorical data, diagnosis vs F293
## 2026-10-08 08:58:55.661787 INFO::Creating boxplot for categorical data, diagnosis vs F633
## 2026-10-08 08:58:55.781285 INFO::Creating boxplot for categorical data, diagnosis vs F564
## 2026-10-08 08:58:55.907988 INFO::Creating boxplot for categorical data, diagnosis vs F183
## 2026-10-08 08:58:56.02904 INFO::Creating boxplot for categorical data, diagnosis vs F647
## 2026-10-08 08:58:56.158148 INFO::Creating boxplot for categorical data, diagnosis vs F288
## 2026-10-08 08:58:56.28228 INFO::Creating boxplot for categorical data, diagnosis vs F159
## 2026-10-08 08:58:56.428644 INFO::Creating boxplot for categorical data, diagnosis vs F638
## 2026-10-08 08:58:56.550934 INFO::Creating boxplot for categorical data, diagnosis vs F484
## 2026-10-08 08:58:56.685305 INFO::Creating boxplot for categorical data, diagnosis vs F20
## 2026-10-08 08:58:56.80773 INFO::Creating boxplot for categorical data, diagnosis vs F19
## 2026-10-08 08:58:56.94013 INFO::Creating boxplot for categorical data, diagnosis vs F897
## 2026-10-08 08:58:57.073901 INFO::Creating boxplot for categorical data, diagnosis vs F442
## 2026-10-08 08:58:57.210313 INFO::Creating boxplot for categorical data, diagnosis vs F372
## 2026-10-08 08:58:57.33504 INFO::Creating boxplot for categorical data, diagnosis vs F771
## 2026-10-08 08:58:57.465955 INFO::Creating boxplot for categorical data, diagnosis vs F370
## 2026-10-08 08:58:57.587433 INFO::Creating boxplot for categorical data, diagnosis vs F620
## 2026-10-08 08:58:57.718549 INFO::Creating boxplot for categorical data, diagnosis vs F753
## 2026-10-08 08:58:57.839598 INFO::Creating boxplot for categorical data, diagnosis vs F568
## 2026-10-08 08:58:57.968457 INFO::Creating boxplot for categorical data, diagnosis vs F312
## 2026-10-08 08:58:58.090522 INFO::Creating boxplot for categorical data, diagnosis vs F485
## 2026-10-08 08:58:58.280717 INFO::Creating boxplot for categorical data, diagnosis vs F627
## 2026-10-08 08:58:58.408993 INFO::Creating boxplot for categorical data, diagnosis vs F72
## 2026-10-08 08:58:58.535032 INFO::Creating boxplot for categorical data, diagnosis vs F575
## 2026-10-08 08:58:58.687119 INFO::Creating boxplot for categorical data, diagnosis vs F332
## 2026-10-08 08:58:58.815872 INFO::Creating boxplot for categorical data, diagnosis vs F674
## 2026-10-08 08:58:58.965548 INFO::Creating boxplot for categorical data, diagnosis vs F537
## 2026-10-08 08:58:59.092844 INFO::Creating boxplot for categorical data, diagnosis vs F839
## 2026-10-08 08:58:59.241996 INFO::Creating boxplot for categorical data, diagnosis vs F768
## 2026-10-08 08:58:59.367867 INFO::Creating boxplot for categorical data, diagnosis vs F202
## 2026-10-08 08:58:59.517853 INFO::Creating boxplot for categorical data, diagnosis vs F715
## 2026-10-08 08:58:59.645282 INFO::Creating boxplot for categorical data, diagnosis vs F756
## 2026-10-08 08:58:59.779398 INFO::Creating boxplot for categorical data, diagnosis vs F536
## 2026-10-08 08:58:59.921797 INFO::Creating boxplot for categorical data, diagnosis vs F574
## 2026-10-08 08:59:00.047506 INFO::Creating boxplot for categorical data, diagnosis vs F435
## 2026-10-08 08:59:00.19974 INFO::Creating boxplot for categorical data, diagnosis vs F677
## 2026-10-08 08:59:00.32646 INFO::Creating boxplot for categorical data, diagnosis vs F70
## 2026-10-08 08:59:00.47815 INFO::Creating boxplot for categorical data, diagnosis vs F146
## 2026-10-08 08:59:00.609683 INFO::Creating boxplot for categorical data, diagnosis vs F236
## 2026-10-08 08:59:00.760466 INFO::Creating boxplot for categorical data, diagnosis vs F527
## 2026-10-08 08:59:00.888457 INFO::Creating boxplot for categorical data, diagnosis vs F624
## 2026-10-08 08:59:01.041717 INFO::Creating boxplot for categorical data, diagnosis vs F880
## 2026-10-08 08:59:01.167249 INFO::Creating boxplot for categorical data, diagnosis vs F426
## 2026-10-08 08:59:01.317627 INFO::Creating boxplot for categorical data, diagnosis vs F549
## 2026-10-08 08:59:01.446632 INFO::Creating boxplot for categorical data, diagnosis vs F49
## 2026-10-08 08:59:01.589236 INFO::Creating boxplot for categorical data, diagnosis vs F254
## 2026-10-08 08:59:01.726181 INFO::Creating boxplot for categorical data, diagnosis vs F67
## 2026-10-08 08:59:01.859688 INFO::Creating boxplot for categorical data, diagnosis vs F491
## 2026-10-08 08:59:02.003167 INFO::Creating boxplot for categorical data, diagnosis vs F174
## 2026-10-08 08:59:02.128104 INFO::Creating boxplot for categorical data, diagnosis vs F235
## 2026-10-08 08:59:02.277524 INFO::Creating boxplot for categorical data, diagnosis vs F112
## 2026-10-08 08:59:02.400581 INFO::Creating boxplot for categorical data, diagnosis vs F752
## 2026-10-08 08:59:02.55068 INFO::Creating boxplot for categorical data, diagnosis vs F833
## 2026-10-08 08:59:02.675758 INFO::Creating boxplot for categorical data, diagnosis vs F792
## 2026-10-08 08:59:02.828897 INFO::Creating boxplot for categorical data, diagnosis vs F422
## 2026-10-08 08:59:02.958258 INFO::Creating boxplot for categorical data, diagnosis vs F6
## 2026-10-08 08:59:03.108986 INFO::Creating boxplot for categorical data, diagnosis vs F706
## 2026-10-08 08:59:03.23339 INFO::Creating boxplot for categorical data, diagnosis vs F463
## 2026-10-08 08:59:03.386652 INFO::Creating boxplot for categorical data, diagnosis vs F642
## 2026-10-08 08:59:03.504692 INFO::Creating boxplot for categorical data, diagnosis vs F102
## 2026-10-08 08:59:03.647179 INFO::Creating boxplot for categorical data, diagnosis vs F65
## 2026-10-08 08:59:03.770364 INFO::Creating boxplot for categorical data, diagnosis vs F889
## 2026-10-08 08:59:03.920125 INFO::Creating boxplot for categorical data, diagnosis vs F681
## 2026-10-08 08:59:04.044791 INFO::Creating boxplot for categorical data, diagnosis vs F783
## 2026-10-08 08:59:04.194528 INFO::Creating boxplot for categorical data, diagnosis vs F748
## 2026-10-08 08:59:04.319743 INFO::Creating boxplot for categorical data, diagnosis vs F478
## 2026-10-08 08:59:04.52592 INFO::Creating boxplot for categorical data, diagnosis vs F762
## 2026-10-08 08:59:04.655768 INFO::Creating boxplot for categorical data, diagnosis vs F852
## 2026-10-08 08:59:04.805169 INFO::Creating boxplot for categorical data, diagnosis vs F180
## 2026-10-08 08:59:04.933733 INFO::Creating boxplot for categorical data, diagnosis vs F759
## 2026-10-08 08:59:05.079019 INFO::Creating boxplot for categorical data, diagnosis vs F824
## 2026-10-08 08:59:05.206731 INFO::Creating boxplot for categorical data, diagnosis vs F248
## 2026-10-08 08:59:05.350783 INFO::Creating boxplot for categorical data, diagnosis vs F145
## 2026-10-08 08:59:05.479878 INFO::Creating boxplot for categorical data, diagnosis vs F350
## 2026-10-08 08:59:05.6067 INFO::Creating boxplot for categorical data, diagnosis vs F16
## 2026-10-08 08:59:05.755863 INFO::Creating boxplot for categorical data, diagnosis vs F169
## 2026-10-08 08:59:05.88144 INFO::Creating boxplot for categorical data, diagnosis vs F392
## 2026-10-08 08:59:06.027772 INFO::Creating boxplot for categorical data, diagnosis vs F468
## 2026-10-08 08:59:06.156429 INFO::Creating boxplot for categorical data, diagnosis vs F476
## 2026-10-08 08:59:06.304742 INFO::Creating boxplot for categorical data, diagnosis vs F699
## 2026-10-08 08:59:06.430123 INFO::Creating boxplot for categorical data, diagnosis vs F735
## 2026-10-08 08:59:06.57514 INFO::Creating boxplot for categorical data, diagnosis vs F182
## 2026-10-08 08:59:06.700961 INFO::Creating boxplot for categorical data, diagnosis vs F203
## 2026-10-08 08:59:06.845313 INFO::Creating boxplot for categorical data, diagnosis vs F877
## 2026-10-08 08:59:06.976855 INFO::Creating boxplot for categorical data, diagnosis vs F433
## 2026-10-08 08:59:07.119836 INFO::Creating boxplot for categorical data, diagnosis vs F739
## 2026-10-08 08:59:07.248758 INFO::Creating boxplot for categorical data, diagnosis vs F749
## 2026-10-08 08:59:07.386162 INFO::Creating boxplot for categorical data, diagnosis vs F382
## 2026-10-08 08:59:07.523497 INFO::Creating boxplot for categorical data, diagnosis vs F438
## 2026-10-08 08:59:07.649106 INFO::Creating boxplot for categorical data, diagnosis vs F360
## 2026-10-08 08:59:07.7986 INFO::Creating boxplot for categorical data, diagnosis vs F56
## 2026-10-08 08:59:07.967258 INFO::Creating boxplot for categorical data, diagnosis vs F48
## 2026-10-08 08:59:08.114643 INFO::Creating boxplot for categorical data, diagnosis vs F162
## 2026-10-08 08:59:08.239219 INFO::Creating boxplot for categorical data, diagnosis vs F529
## 2026-10-08 08:59:08.386989 INFO::Creating boxplot for categorical data, diagnosis vs F826
## 2026-10-08 08:59:08.514214 INFO::Creating boxplot for categorical data, diagnosis vs F488
## 2026-10-08 08:59:08.657671 INFO::Creating boxplot for categorical data, diagnosis vs F309
## 2026-10-08 08:59:08.785073 INFO::Creating boxplot for categorical data, diagnosis vs F834
## 2026-10-08 08:59:08.933634 INFO::Creating boxplot for categorical data, diagnosis vs F449
## 2026-10-08 08:59:09.062273 INFO::Creating boxplot for categorical data, diagnosis vs F77
## 2026-10-08 08:59:09.209426 INFO::Creating boxplot for categorical data, diagnosis vs F365
## 2026-10-08 08:59:09.340679 INFO::Creating boxplot for categorical data, diagnosis vs F346
## 2026-10-08 08:59:09.489259 INFO::Creating boxplot for categorical data, diagnosis vs F654
## 2026-10-08 08:59:09.620405 INFO::Creating boxplot for categorical data, diagnosis vs F64
## 2026-10-08 08:59:09.770263 INFO::Creating boxplot for categorical data, diagnosis vs F79
## 2026-10-08 08:59:09.899405 INFO::Creating boxplot for categorical data, diagnosis vs F785
## 2026-10-08 08:59:10.047962 INFO::Creating boxplot for categorical data, diagnosis vs F415
## 2026-10-08 08:59:10.177221 INFO::Creating boxplot for categorical data, diagnosis vs F466
## 2026-10-08 08:59:10.323014 INFO::Creating boxplot for categorical data, diagnosis vs F643
## 2026-10-08 08:59:10.450787 INFO::Creating boxplot for categorical data, diagnosis vs F160
## 2026-10-08 08:59:10.660692 INFO::Creating boxplot for categorical data, diagnosis vs F69
## 2026-10-08 08:59:10.790936 INFO::Creating boxplot for categorical data, diagnosis vs F498
## 2026-10-08 08:59:10.95167 INFO::Creating boxplot for categorical data, diagnosis vs F207
## 2026-10-08 08:59:11.083577 INFO::Creating boxplot for categorical data, diagnosis vs F679
## 2026-10-08 08:59:11.242873 INFO::Creating boxplot for categorical data, diagnosis vs F255
## 2026-10-08 08:59:11.37134 INFO::Creating boxplot for categorical data, diagnosis vs F267
## 2026-10-08 08:59:11.51639 INFO::Creating boxplot for categorical data, diagnosis vs F143
## 2026-10-08 08:59:11.665093 INFO::Creating boxplot for categorical data, diagnosis vs F286
## 2026-10-08 08:59:11.794326 INFO::Creating boxplot for categorical data, diagnosis vs F618
## 2026-10-08 08:59:11.957996 INFO::Creating boxplot for categorical data, diagnosis vs F100
## 2026-10-08 08:59:12.094265 INFO::Creating boxplot for categorical data, diagnosis vs F562
## 2026-10-08 08:59:12.254778 INFO::Creating boxplot for categorical data, diagnosis vs F374
## 2026-10-08 08:59:12.390861 INFO::Creating boxplot for categorical data, diagnosis vs F535
## 2026-10-08 08:59:12.552804 INFO::Creating boxplot for categorical data, diagnosis vs F658
## 2026-10-08 08:59:12.68191 INFO::Creating boxplot for categorical data, diagnosis vs F707
## 2026-10-08 08:59:12.846192 INFO::Creating boxplot for categorical data, diagnosis vs F214
## 2026-10-08 08:59:12.979299 INFO::Creating boxplot for categorical data, diagnosis vs F89
## 2026-10-08 08:59:13.137971 INFO::Creating boxplot for categorical data, diagnosis vs F325
## 2026-10-08 08:59:13.271247 INFO::Creating boxplot for categorical data, diagnosis vs F578
## 2026-10-08 08:59:13.418334 INFO::Creating boxplot for categorical data, diagnosis vs F790
## 2026-10-08 08:59:13.56661 INFO::Creating boxplot for categorical data, diagnosis vs F265
## 2026-10-08 08:59:13.704761 INFO::Creating boxplot for categorical data, diagnosis vs F253
## 2026-10-08 08:59:13.859856 INFO::Creating boxplot for categorical data, diagnosis vs F294
## 2026-10-08 08:59:13.990013 INFO::Creating boxplot for categorical data, diagnosis vs F410
## 2026-10-08 08:59:14.15277 INFO::Creating boxplot for categorical data, diagnosis vs F764
## 2026-10-08 08:59:14.28357 INFO::Creating boxplot for categorical data, diagnosis vs F614
## 2026-10-08 08:59:14.445801 INFO::Creating boxplot for categorical data, diagnosis vs F675
## 2026-10-08 08:59:14.581903 INFO::Creating boxplot for categorical data, diagnosis vs F193
## 2026-10-08 08:59:14.74567 INFO::Creating boxplot for categorical data, diagnosis vs F441
## 2026-10-08 08:59:14.882431 INFO::Creating boxplot for categorical data, diagnosis vs F689
## 2026-10-08 08:59:15.046719 INFO::Creating boxplot for categorical data, diagnosis vs F249
## 2026-10-08 08:59:15.180343 INFO::Creating boxplot for categorical data, diagnosis vs F821
## 2026-10-08 08:59:15.341629 INFO::Creating boxplot for categorical data, diagnosis vs F351
## 2026-10-08 08:59:15.478259 INFO::Creating boxplot for categorical data, diagnosis vs F66
## 2026-10-08 08:59:15.643895 INFO::Creating boxplot for categorical data, diagnosis vs F172
## 2026-10-08 08:59:15.787361 INFO::Creating boxplot for categorical data, diagnosis vs F413
## 2026-10-08 08:59:15.948256 INFO::Creating boxplot for categorical data, diagnosis vs F317
## 2026-10-08 08:59:16.083577 INFO::Creating boxplot for categorical data, diagnosis vs F167
## 2026-10-08 08:59:16.245487 INFO::Creating boxplot for categorical data, diagnosis vs F229
## 2026-10-08 08:59:16.376531 INFO::Creating boxplot for categorical data, diagnosis vs F243
## 2026-10-08 08:59:16.537522 INFO::Creating boxplot for categorical data, diagnosis vs F732
## 2026-10-08 08:59:16.66852 INFO::Creating boxplot for categorical data, diagnosis vs F467
## 2026-10-08 08:59:16.834955 INFO::Creating boxplot for categorical data, diagnosis vs F474
## 2026-10-08 08:59:16.970724 INFO::Creating boxplot for categorical data, diagnosis vs F156
## 2026-10-08 08:59:17.729203 INFO::Creating boxplot for categorical data, diagnosis vs F786
## 2026-10-08 08:59:17.845035 INFO::Creating boxplot for categorical data, diagnosis vs F216
## 2026-10-08 08:59:17.966811 INFO::Creating boxplot for categorical data, diagnosis vs F85
## 2026-10-08 08:59:18.083067 INFO::Creating boxplot for categorical data, diagnosis vs F558
## 2026-10-08 08:59:18.204942 INFO::Creating boxplot for categorical data, diagnosis vs F621
## 2026-10-08 08:59:18.322095 INFO::Creating boxplot for categorical data, diagnosis vs F582
## 2026-10-08 08:59:18.445388 INFO::Creating boxplot for categorical data, diagnosis vs F898
## 2026-10-08 08:59:18.562979 INFO::Creating boxplot for categorical data, diagnosis vs F402
## 2026-10-08 08:59:18.680612 INFO::Creating boxplot for categorical data, diagnosis vs F71
## 2026-10-08 08:59:18.801111 INFO::Creating boxplot for categorical data, diagnosis vs F99
## 2026-10-08 08:59:18.917357 INFO::Creating boxplot for categorical data, diagnosis vs F188
## 2026-10-08 08:59:19.041009 INFO::Creating boxplot for categorical data, diagnosis vs F366
## 2026-10-08 08:59:19.156485 INFO::Creating boxplot for categorical data, diagnosis vs F778
## 2026-10-08 08:59:19.276331 INFO::Creating boxplot for categorical data, diagnosis vs F857
## 2026-10-08 08:59:19.39585 INFO::Creating boxplot for categorical data, diagnosis vs F440
## 2026-10-08 08:59:19.515516 INFO::Creating boxplot for categorical data, diagnosis vs F799
## 2026-10-08 08:59:19.627774 INFO::Creating boxplot for categorical data, diagnosis vs F482
## 2026-10-08 08:59:19.743781 INFO::Creating boxplot for categorical data, diagnosis vs F212
## 2026-10-08 08:59:19.855362 INFO::Creating boxplot for categorical data, diagnosis vs F882
## 2026-10-08 08:59:19.973064 INFO::Creating boxplot for categorical data, diagnosis vs F599
## 2026-10-08 08:59:20.093897 INFO::Creating boxplot for categorical data, diagnosis vs F302
## 2026-10-08 08:59:20.210726 INFO::Creating boxplot for categorical data, diagnosis vs F543
## 2026-10-08 08:59:20.338166 INFO::Creating boxplot for categorical data, diagnosis vs F269
## 2026-10-08 08:59:20.456892 INFO::Creating boxplot for categorical data, diagnosis vs F650
## 2026-10-08 08:59:20.578346 INFO::Creating boxplot for categorical data, diagnosis vs F573
## 2026-10-08 08:59:20.697935 INFO::Creating boxplot for categorical data, diagnosis vs F8
## 2026-10-08 08:59:20.819191 INFO::Creating boxplot for categorical data, diagnosis vs F810
## 2026-10-08 08:59:20.935627 INFO::Creating boxplot for categorical data, diagnosis vs F456
## 2026-10-08 08:59:21.058675 INFO::Creating boxplot for categorical data, diagnosis vs F37
## 2026-10-08 08:59:21.173501 INFO::Creating boxplot for categorical data, diagnosis vs F401
## 2026-10-08 08:59:21.297961 INFO::Creating boxplot for categorical data, diagnosis vs F871
## 2026-10-08 08:59:21.416438 INFO::Creating boxplot for categorical data, diagnosis vs F606
## 2026-10-08 08:59:21.538623 INFO::Creating boxplot for categorical data, diagnosis vs F662
## 2026-10-08 08:59:21.656669 INFO::Creating boxplot for categorical data, diagnosis vs F887
## 2026-10-08 08:59:21.779677 INFO::Creating boxplot for categorical data, diagnosis vs F765
## 2026-10-08 08:59:21.890558 INFO::Creating boxplot for categorical data, diagnosis vs F770
## 2026-10-08 08:59:22.007223 INFO::Creating boxplot for categorical data, diagnosis vs F469
## 2026-10-08 08:59:22.120909 INFO::Creating boxplot for categorical data, diagnosis vs F86
## 2026-10-08 08:59:22.241378 INFO::Creating boxplot for categorical data, diagnosis vs F579
## 2026-10-08 08:59:22.356235 INFO::Creating boxplot for categorical data, diagnosis vs F400
## 2026-10-08 08:59:22.476646 INFO::Creating boxplot for categorical data, diagnosis vs F446
## 2026-10-08 08:59:22.589045 INFO::Creating boxplot for categorical data, diagnosis vs F321
## 2026-10-08 08:59:22.708499 INFO::Creating boxplot for categorical data, diagnosis vs F218
## 2026-10-08 08:59:22.821022 INFO::Creating boxplot for categorical data, diagnosis vs F141
## 2026-10-08 08:59:22.994003 INFO::Creating boxplot for categorical data, diagnosis vs F487
## 2026-10-08 08:59:23.115367 INFO::Creating boxplot for categorical data, diagnosis vs F740
## 2026-10-08 08:59:23.239586 INFO::Creating boxplot for categorical data, diagnosis vs F327
## 2026-10-08 08:59:23.367137 INFO::Creating boxplot for categorical data, diagnosis vs F196
## 2026-10-08 08:59:23.485036 INFO::Creating boxplot for categorical data, diagnosis vs F883
## 2026-10-08 08:59:23.621987 INFO::Creating boxplot for categorical data, diagnosis vs F279
## 2026-10-08 08:59:23.743934 INFO::Creating boxplot for categorical data, diagnosis vs F451
## 2026-10-08 08:59:23.88302 INFO::Creating boxplot for categorical data, diagnosis vs F838
## 2026-10-08 08:59:24.002625 INFO::Creating boxplot for categorical data, diagnosis vs F854
## 2026-10-08 08:59:24.134607 INFO::Creating boxplot for categorical data, diagnosis vs F434
## 2026-10-08 08:59:24.25378 INFO::Creating boxplot for categorical data, diagnosis vs F519
## 2026-10-08 08:59:24.384465 INFO::Creating boxplot for categorical data, diagnosis vs F694
## 2026-10-08 08:59:24.508468 INFO::Creating boxplot for categorical data, diagnosis vs F561
## 2026-10-08 08:59:24.626687 INFO::Creating boxplot for categorical data, diagnosis vs F10
## 2026-10-08 08:59:24.764375 INFO::Creating boxplot for categorical data, diagnosis vs F303
## 2026-10-08 08:59:24.884335 INFO::Creating boxplot for categorical data, diagnosis vs F645
## 2026-10-08 08:59:25.023818 INFO::Creating boxplot for categorical data, diagnosis vs F793
## 2026-10-08 08:59:25.146116 INFO::Creating boxplot for categorical data, diagnosis vs F404
## 2026-10-08 08:59:25.281956 INFO::Creating boxplot for categorical data, diagnosis vs F525
## 2026-10-08 08:59:25.404851 INFO::Creating boxplot for categorical data, diagnosis vs F362
## 2026-10-08 08:59:25.537914 INFO::Creating boxplot for categorical data, diagnosis vs F742
## 2026-10-08 08:59:25.659865 INFO::Creating boxplot for categorical data, diagnosis vs F276
## 2026-10-08 08:59:25.795654 INFO::Creating boxplot for categorical data, diagnosis vs F512
## 2026-10-08 08:59:25.915564 INFO::Creating boxplot for categorical data, diagnosis vs F499
## 2026-10-08 08:59:26.054689 INFO::Creating boxplot for categorical data, diagnosis vs F328
## 2026-10-08 08:59:26.178792 INFO::Creating boxplot for categorical data, diagnosis vs F787
## 2026-10-08 08:59:26.31483 INFO::Creating boxplot for categorical data, diagnosis vs F30
## 2026-10-08 08:59:26.446116 INFO::Creating boxplot for categorical data, diagnosis vs F122
## 2026-10-08 08:59:26.575262 INFO::Creating boxplot for categorical data, diagnosis vs F572
## 2026-10-08 08:59:26.707909 INFO::Creating boxplot for categorical data, diagnosis vs F619
## 2026-10-08 08:59:26.82485 INFO::Creating boxplot for categorical data, diagnosis vs F570
## 2026-10-08 08:59:26.962589 INFO::Creating boxplot for categorical data, diagnosis vs F47
## 2026-10-08 08:59:27.080769 INFO::Creating boxplot for categorical data, diagnosis vs F26
## 2026-10-08 08:59:27.219372 INFO::Creating boxplot for categorical data, diagnosis vs F252
## 2026-10-08 08:59:27.336591 INFO::Creating boxplot for categorical data, diagnosis vs F117
## 2026-10-08 08:59:27.475992 INFO::Creating boxplot for categorical data, diagnosis vs F395
## 2026-10-08 08:59:27.5937 INFO::Creating boxplot for categorical data, diagnosis vs F683
## 2026-10-08 08:59:27.734169 INFO::Creating boxplot for categorical data, diagnosis vs F822
## 2026-10-08 08:59:27.850914 INFO::Creating boxplot for categorical data, diagnosis vs F46
## 2026-10-08 08:59:27.992726 INFO::Creating boxplot for categorical data, diagnosis vs F154
## 2026-10-08 08:59:28.111786 INFO::Creating boxplot for categorical data, diagnosis vs F884
## 2026-10-08 08:59:28.249539 INFO::Creating boxplot for categorical data, diagnosis vs F540
## 2026-10-08 08:59:28.367145 INFO::Creating boxplot for categorical data, diagnosis vs F368
## 2026-10-08 08:59:28.50868 INFO::Creating boxplot for categorical data, diagnosis vs F607
## 2026-10-08 08:59:28.628441 INFO::Creating boxplot for categorical data, diagnosis vs F111
## 2026-10-08 08:59:28.823745 INFO::Creating boxplot for categorical data, diagnosis vs F745
## 2026-10-08 08:59:28.952071 INFO::Creating boxplot for categorical data, diagnosis vs F673
## 2026-10-08 08:59:29.094547 INFO::Creating boxplot for categorical data, diagnosis vs F92
## 2026-10-08 08:59:29.221807 INFO::Creating boxplot for categorical data, diagnosis vs F493
## 2026-10-08 08:59:29.361058 INFO::Creating boxplot for categorical data, diagnosis vs F518
## 2026-10-08 08:59:29.491351 INFO::Creating boxplot for categorical data, diagnosis vs F835
## 2026-10-08 08:59:29.631318 INFO::Creating boxplot for categorical data, diagnosis vs F872
## 2026-10-08 08:59:29.755259 INFO::Creating boxplot for categorical data, diagnosis vs F879
## 2026-10-08 08:59:29.875265 INFO::Creating boxplot for categorical data, diagnosis vs F432
## 2026-10-08 08:59:30.013158 INFO::Creating boxplot for categorical data, diagnosis vs F44
## 2026-10-08 08:59:30.137921 INFO::Creating boxplot for categorical data, diagnosis vs F819
## 2026-10-08 08:59:30.276421 INFO::Creating boxplot for categorical data, diagnosis vs F411
## 2026-10-08 08:59:30.406272 INFO::Creating boxplot for categorical data, diagnosis vs F353
## 2026-10-08 08:59:30.54733 INFO::Creating boxplot for categorical data, diagnosis vs F763
## 2026-10-08 08:59:30.678399 INFO::Creating boxplot for categorical data, diagnosis vs F40
## 2026-10-08 08:59:30.821353 INFO::Creating boxplot for categorical data, diagnosis vs F97
## 2026-10-08 08:59:30.951148 INFO::Creating boxplot for categorical data, diagnosis vs F240
## 2026-10-08 08:59:31.086684 INFO::Creating boxplot for categorical data, diagnosis vs F652
## 2026-10-08 08:59:31.214653 INFO::Creating boxplot for categorical data, diagnosis vs F789
## 2026-10-08 08:59:31.351798 INFO::Creating boxplot for categorical data, diagnosis vs F256
## 2026-10-08 08:59:31.489766 INFO::Creating boxplot for categorical data, diagnosis vs F25
## 2026-10-08 08:59:31.615573 INFO::Creating boxplot for categorical data, diagnosis vs F423
## 2026-10-08 08:59:31.753167 INFO::Creating boxplot for categorical data, diagnosis vs F594
## 2026-10-08 08:59:31.87483 INFO::Creating boxplot for categorical data, diagnosis vs F201
## 2026-10-08 08:59:32.009383 INFO::Creating boxplot for categorical data, diagnosis vs F813
## 2026-10-08 08:59:32.130491 INFO::Creating boxplot for categorical data, diagnosis vs F653
## 2026-10-08 08:59:32.263239 INFO::Creating boxplot for categorical data, diagnosis vs F524
## 2026-10-08 08:59:32.384368 INFO::Creating boxplot for categorical data, diagnosis vs F777
## 2026-10-08 08:59:32.519259 INFO::Creating boxplot for categorical data, diagnosis vs F226
## 2026-10-08 08:59:32.642555 INFO::Creating boxplot for categorical data, diagnosis vs F227
## 2026-10-08 08:59:32.77635 INFO::Creating boxplot for categorical data, diagnosis vs F521
## 2026-10-08 08:59:32.902565 INFO::Creating boxplot for categorical data, diagnosis vs F310
## 2026-10-08 08:59:33.037413 INFO::Creating boxplot for categorical data, diagnosis vs F452
## 2026-10-08 08:59:33.165172 INFO::Creating boxplot for categorical data, diagnosis vs F14
## 2026-10-08 08:59:33.299232 INFO::Creating boxplot for categorical data, diagnosis vs F52
## 2026-10-08 08:59:33.425526 INFO::Creating boxplot for categorical data, diagnosis vs F53
## 2026-10-08 08:59:33.558057 INFO::Creating boxplot for categorical data, diagnosis vs F844
## 2026-10-08 08:59:33.685033 INFO::Creating boxplot for categorical data, diagnosis vs F31
## 2026-10-08 08:59:33.820372 INFO::Creating boxplot for categorical data, diagnosis vs F766
## 2026-10-08 08:59:33.950058 INFO::Creating boxplot for categorical data, diagnosis vs F795
## 2026-10-08 08:59:34.089612 INFO::Creating boxplot for categorical data, diagnosis vs F342
## 2026-10-08 08:59:34.220508 INFO::Creating boxplot for categorical data, diagnosis vs F282
## 2026-10-08 08:59:34.357773 INFO::Creating boxplot for categorical data, diagnosis vs F508
## 2026-10-08 08:59:34.487506 INFO::Creating boxplot for categorical data, diagnosis vs F408
## 2026-10-08 08:59:34.68315 INFO::Creating boxplot for categorical data, diagnosis vs F805
## 2026-10-08 08:59:34.813234 INFO::Creating boxplot for categorical data, diagnosis vs F337
## 2026-10-08 08:59:34.964666 INFO::Creating boxplot for categorical data, diagnosis vs F820
## 2026-10-08 08:59:35.090652 INFO::Creating boxplot for categorical data, diagnosis vs F593
## 2026-10-08 08:59:35.228352 INFO::Creating boxplot for categorical data, diagnosis vs F459
## 2026-10-08 08:59:35.369415 INFO::Creating boxplot for categorical data, diagnosis vs F701
## 2026-10-08 08:59:35.494063 INFO::Creating boxplot for categorical data, diagnosis vs F142
## 2026-10-08 08:59:35.646918 INFO::Creating boxplot for categorical data, diagnosis vs F305
## 2026-10-08 08:59:35.778746 INFO::Creating boxplot for categorical data, diagnosis vs F534
## 2026-10-08 08:59:35.929165 INFO::Creating boxplot for categorical data, diagnosis vs F135
## 2026-10-08 08:59:36.056372 INFO::Creating boxplot for categorical data, diagnosis vs F702
## 2026-10-08 08:59:36.206887 INFO::Creating boxplot for categorical data, diagnosis vs F776
## 2026-10-08 08:59:36.332776 INFO::Creating boxplot for categorical data, diagnosis vs F295
## 2026-10-08 08:59:36.489211 INFO::Creating boxplot for categorical data, diagnosis vs F355
## 2026-10-08 08:59:36.614646 INFO::Creating boxplot for categorical data, diagnosis vs F797
## 2026-10-08 08:59:36.753439 INFO::Creating boxplot for categorical data, diagnosis vs F13
## 2026-10-08 08:59:36.893603 INFO::Creating boxplot for categorical data, diagnosis vs F356
## 2026-10-08 08:59:37.021857 INFO::Creating boxplot for categorical data, diagnosis vs F359
## 2026-10-08 08:59:37.174407 INFO::Creating boxplot for categorical data, diagnosis vs F121
## 2026-10-08 08:59:37.303164 INFO::Creating boxplot for categorical data, diagnosis vs F850
## 2026-10-08 08:59:37.4543 INFO::Creating boxplot for categorical data, diagnosis vs F899
## 2026-10-08 08:59:37.580203 INFO::Creating boxplot for categorical data, diagnosis vs F628
## 2026-10-08 08:59:37.737271 INFO::Creating boxplot for categorical data, diagnosis vs F107
## 2026-10-08 08:59:37.869914 INFO::Creating boxplot for categorical data, diagnosis vs F287
## 2026-10-08 08:59:38.025666 INFO::Creating boxplot for categorical data, diagnosis vs F557
## 2026-10-08 08:59:38.154536 INFO::Creating boxplot for categorical data, diagnosis vs F165
## 2026-10-08 08:59:38.303922 INFO::Creating boxplot for categorical data, diagnosis vs F127
## 2026-10-08 08:59:38.433019 INFO::Creating boxplot for categorical data, diagnosis vs F299
## 2026-10-08 08:59:38.588688 INFO::Creating boxplot for categorical data, diagnosis vs F497
## 2026-10-08 08:59:38.722621 INFO::Creating boxplot for categorical data, diagnosis vs F711
## 2026-10-08 08:59:38.878512 INFO::Creating boxplot for categorical data, diagnosis vs F319
## 2026-10-08 08:59:39.007941 INFO::Creating boxplot for categorical data, diagnosis vs F271
## 2026-10-08 08:59:39.158929 INFO::Creating boxplot for categorical data, diagnosis vs F157
## 2026-10-08 08:59:39.285969 INFO::Creating boxplot for categorical data, diagnosis vs F560
## 2026-10-08 08:59:39.435146 INFO::Creating boxplot for categorical data, diagnosis vs F680
## 2026-10-08 08:59:39.567924 INFO::Creating boxplot for categorical data, diagnosis vs F580
## 2026-10-08 08:59:39.720127 INFO::Creating boxplot for categorical data, diagnosis vs F152
## 2026-10-08 08:59:39.851559 INFO::Creating boxplot for categorical data, diagnosis vs F12
## 2026-10-08 08:59:40.003612 INFO::Creating boxplot for categorical data, diagnosis vs F324
## 2026-10-08 08:59:40.138189 INFO::Creating boxplot for categorical data, diagnosis vs F893
## 2026-10-08 08:59:40.286168 INFO::Creating boxplot for categorical data, diagnosis vs F318
## 2026-10-08 08:59:40.419418 INFO::Creating boxplot for categorical data, diagnosis vs F784
## 2026-10-08 08:59:40.567889 INFO::Creating boxplot for categorical data, diagnosis vs F567
## 2026-10-08 08:59:40.69508 INFO::Creating boxplot for categorical data, diagnosis vs F457
## 2026-10-08 08:59:40.91013 INFO::Creating boxplot for categorical data, diagnosis vs F708
## 2026-10-08 08:59:41.038541 INFO::Creating boxplot for categorical data, diagnosis vs F669
## 2026-10-08 08:59:41.180124 INFO::Creating boxplot for categorical data, diagnosis vs F87
## 2026-10-08 08:59:41.323967 INFO::Creating boxplot for categorical data, diagnosis vs F730
## 2026-10-08 08:59:42.863636 INFO::Plotting data for metadata number 2, antibiotics
## 2026-10-08 08:59:42.865033 INFO::Creating boxplot for categorical data, antibiotics vs F663
## 2026-10-08 08:59:43.017633 INFO::Creating boxplot for categorical data, antibiotics vs F838
## 2026-10-08 08:59:43.153775 INFO::Creating boxplot for categorical data, antibiotics vs F764
## 2026-10-08 08:59:43.314184 INFO::Creating boxplot for categorical data, antibiotics vs F880
## 2026-10-08 08:59:43.446642 INFO::Creating boxplot for categorical data, antibiotics vs F751
## 2026-10-08 08:59:43.603978 INFO::Creating boxplot for categorical data, antibiotics vs F288
## 2026-10-08 08:59:43.73559 INFO::Creating boxplot for categorical data, antibiotics vs F65
## 2026-10-08 08:59:43.894127 INFO::Creating boxplot for categorical data, antibiotics vs F742
## 2026-10-08 08:59:44.02689 INFO::Creating boxplot for categorical data, antibiotics vs F528
## 2026-10-08 08:59:44.186321 INFO::Creating boxplot for categorical data, antibiotics vs F790
## 2026-10-08 08:59:44.321256 INFO::Creating boxplot for categorical data, antibiotics vs F777
## 2026-10-08 08:59:44.477495 INFO::Creating boxplot for categorical data, antibiotics vs F178
## 2026-10-08 08:59:44.610147 INFO::Creating boxplot for categorical data, antibiotics vs F139
## 2026-10-08 08:59:44.76304 INFO::Creating boxplot for categorical data, antibiotics vs F202
## 2026-10-08 08:59:44.900285 INFO::Creating boxplot for categorical data, antibiotics vs F220
## 2026-10-08 08:59:45.056673 INFO::Creating boxplot for categorical data, antibiotics vs F397
## 2026-10-08 08:59:45.196443 INFO::Creating boxplot for categorical data, antibiotics vs F882
## 2026-10-08 08:59:45.35469 INFO::Creating boxplot for categorical data, antibiotics vs F446
## 2026-10-08 08:59:45.492682 INFO::Creating boxplot for categorical data, antibiotics vs F418
## 2026-10-08 08:59:45.650356 INFO::Creating boxplot for categorical data, antibiotics vs F133
## 2026-10-08 08:59:45.789921 INFO::Creating boxplot for categorical data, antibiotics vs F696
## 2026-10-08 08:59:45.955537 INFO::Creating boxplot for categorical data, antibiotics vs F548
## 2026-10-08 08:59:46.091709 INFO::Creating boxplot for categorical data, antibiotics vs F536
## 2026-10-08 08:59:46.248692 INFO::Creating boxplot for categorical data, antibiotics vs F194
## 2026-10-08 08:59:46.388765 INFO::Creating boxplot for categorical data, antibiotics vs F34
## 2026-10-08 08:59:46.537178 INFO::Creating boxplot for categorical data, antibiotics vs F153
## 2026-10-08 08:59:46.685955 INFO::Creating boxplot for categorical data, antibiotics vs F400
## 2026-10-08 08:59:46.823021 INFO::Creating boxplot for categorical data, antibiotics vs F794
## 2026-10-08 08:59:46.978966 INFO::Creating boxplot for categorical data, antibiotics vs F396
## 2026-10-08 08:59:47.113237 INFO::Creating boxplot for categorical data, antibiotics vs F182
## 2026-10-08 08:59:47.263882 INFO::Creating boxplot for categorical data, antibiotics vs F719
## 2026-10-08 08:59:47.403175 INFO::Creating boxplot for categorical data, antibiotics vs F180
## 2026-10-08 08:59:47.631898 INFO::Creating boxplot for categorical data, antibiotics vs F552
## 2026-10-08 08:59:47.776196 INFO::Creating boxplot for categorical data, antibiotics vs F789
## 2026-10-08 08:59:47.944529 INFO::Creating boxplot for categorical data, antibiotics vs F893
## 2026-10-08 08:59:48.081915 INFO::Creating boxplot for categorical data, antibiotics vs F834
## 2026-10-08 08:59:48.251208 INFO::Creating boxplot for categorical data, antibiotics vs F889
## 2026-10-08 08:59:48.394505 INFO::Creating boxplot for categorical data, antibiotics vs F143
## 2026-10-08 08:59:48.56562 INFO::Creating boxplot for categorical data, antibiotics vs F224
## 2026-10-08 08:59:48.706408 INFO::Creating boxplot for categorical data, antibiotics vs F109
## 2026-10-08 08:59:48.8735 INFO::Creating boxplot for categorical data, antibiotics vs F5
## 2026-10-08 08:59:49.014211 INFO::Creating boxplot for categorical data, antibiotics vs F873
## 2026-10-08 08:59:49.183045 INFO::Creating boxplot for categorical data, antibiotics vs F681
## 2026-10-08 08:59:49.321532 INFO::Creating boxplot for categorical data, antibiotics vs F452
## 2026-10-08 08:59:49.494674 INFO::Creating boxplot for categorical data, antibiotics vs F468
## 2026-10-08 08:59:49.6324 INFO::Creating boxplot for categorical data, antibiotics vs F731
## 2026-10-08 08:59:49.80371 INFO::Creating boxplot for categorical data, antibiotics vs F479
## 2026-10-08 08:59:49.941947 INFO::Creating boxplot for categorical data, antibiotics vs F520
## 2026-10-08 08:59:50.110327 INFO::Creating boxplot for categorical data, antibiotics vs F649
## 2026-10-08 08:59:50.249692 INFO::Creating boxplot for categorical data, antibiotics vs F259
## 2026-10-08 08:59:50.417437 INFO::Creating boxplot for categorical data, antibiotics vs F186
## 2026-10-08 08:59:50.559854 INFO::Creating boxplot for categorical data, antibiotics vs F477
## 2026-10-08 08:59:50.726948 INFO::Creating boxplot for categorical data, antibiotics vs F312
## 2026-10-08 08:59:50.866421 INFO::Creating boxplot for categorical data, antibiotics vs F4
## 2026-10-08 08:59:51.037012 INFO::Creating boxplot for categorical data, antibiotics vs F632
## 2026-10-08 08:59:51.180231 INFO::Creating boxplot for categorical data, antibiotics vs F31
## 2026-10-08 08:59:51.348537 INFO::Creating boxplot for categorical data, antibiotics vs F184
## 2026-10-08 08:59:51.489136 INFO::Creating boxplot for categorical data, antibiotics vs F7
## 2026-10-08 08:59:51.661451 INFO::Creating boxplot for categorical data, antibiotics vs F213
## 2026-10-08 08:59:51.797501 INFO::Creating boxplot for categorical data, antibiotics vs F828
## 2026-10-08 08:59:51.969233 INFO::Creating boxplot for categorical data, antibiotics vs F831
## 2026-10-08 08:59:52.120997 INFO::Creating boxplot for categorical data, antibiotics vs F315
## 2026-10-08 08:59:52.277262 INFO::Creating boxplot for categorical data, antibiotics vs F691
## 2026-10-08 08:59:52.446194 INFO::Creating boxplot for categorical data, antibiotics vs F159
## 2026-10-08 08:59:52.588962 INFO::Creating boxplot for categorical data, antibiotics vs F331
## 2026-10-08 08:59:52.758092 INFO::Creating boxplot for categorical data, antibiotics vs F757
## 2026-10-08 08:59:52.899658 INFO::Creating boxplot for categorical data, antibiotics vs F167
## 2026-10-08 08:59:53.069672 INFO::Creating boxplot for categorical data, antibiotics vs F85
## 2026-10-08 08:59:53.207973 INFO::Creating boxplot for categorical data, antibiotics vs F80
## 2026-10-08 08:59:53.376238 INFO::Creating boxplot for categorical data, antibiotics vs F105
## 2026-10-08 08:59:53.512979 INFO::Creating boxplot for categorical data, antibiotics vs F674
## 2026-10-08 08:59:53.682643 INFO::Creating boxplot for categorical data, antibiotics vs F50
## 2026-10-08 08:59:54.478503 INFO::Creating boxplot for categorical data, antibiotics vs F164
## 2026-10-08 08:59:54.601527 INFO::Creating boxplot for categorical data, antibiotics vs F840
## 2026-10-08 08:59:54.733903 INFO::Creating boxplot for categorical data, antibiotics vs F232
## 2026-10-08 08:59:54.858112 INFO::Creating boxplot for categorical data, antibiotics vs F872
## 2026-10-08 08:59:54.982599 INFO::Creating boxplot for categorical data, antibiotics vs F54
## 2026-10-08 08:59:55.11208 INFO::Creating boxplot for categorical data, antibiotics vs F365
## 2026-10-08 08:59:55.232882 INFO::Creating boxplot for categorical data, antibiotics vs F499
## 2026-10-08 08:59:55.360774 INFO::Creating boxplot for categorical data, antibiotics vs F510
## 2026-10-08 08:59:55.486783 INFO::Creating boxplot for categorical data, antibiotics vs F716
## 2026-10-08 08:59:55.610474 INFO::Creating boxplot for categorical data, antibiotics vs F454
## 2026-10-08 08:59:55.728896 INFO::Creating boxplot for categorical data, antibiotics vs F52
## 2026-10-08 08:59:55.85778 INFO::Creating boxplot for categorical data, antibiotics vs F273
## 2026-10-08 08:59:55.983749 INFO::Creating boxplot for categorical data, antibiotics vs F474
## 2026-10-08 08:59:56.111072 INFO::Creating boxplot for categorical data, antibiotics vs F267
## 2026-10-08 08:59:56.239573 INFO::Creating boxplot for categorical data, antibiotics vs F253
## 2026-10-08 08:59:56.370804 INFO::Creating boxplot for categorical data, antibiotics vs F247
## 2026-10-08 08:59:56.493891 INFO::Creating boxplot for categorical data, antibiotics vs F708
## 2026-10-08 08:59:56.622489 INFO::Creating boxplot for categorical data, antibiotics vs F438
## 2026-10-08 08:59:56.7412 INFO::Creating boxplot for categorical data, antibiotics vs F450
## 2026-10-08 08:59:56.861248 INFO::Creating boxplot for categorical data, antibiotics vs F666
## 2026-10-08 08:59:56.979177 INFO::Creating boxplot for categorical data, antibiotics vs F720
## 2026-10-08 08:59:57.101729 INFO::Creating boxplot for categorical data, antibiotics vs F48
## 2026-10-08 08:59:57.216444 INFO::Creating boxplot for categorical data, antibiotics vs F371
## 2026-10-08 08:59:57.34039 INFO::Creating boxplot for categorical data, antibiotics vs F423
## 2026-10-08 08:59:57.455236 INFO::Creating boxplot for categorical data, antibiotics vs F351
## 2026-10-08 08:59:57.576401 INFO::Creating boxplot for categorical data, antibiotics vs F190
## 2026-10-08 08:59:57.688108 INFO::Creating boxplot for categorical data, antibiotics vs F394
## 2026-10-08 08:59:57.808618 INFO::Creating boxplot for categorical data, antibiotics vs F581
## 2026-10-08 08:59:57.923487 INFO::Creating boxplot for categorical data, antibiotics vs F276
## 2026-10-08 08:59:58.048216 INFO::Creating boxplot for categorical data, antibiotics vs F608
## 2026-10-08 08:59:58.165358 INFO::Creating boxplot for categorical data, antibiotics vs F28
## 2026-10-08 08:59:58.289254 INFO::Creating boxplot for categorical data, antibiotics vs F805
## 2026-10-08 08:59:58.406257 INFO::Creating boxplot for categorical data, antibiotics vs F776
## 2026-10-08 08:59:58.531405 INFO::Creating boxplot for categorical data, antibiotics vs F249
## 2026-10-08 08:59:58.649195 INFO::Creating boxplot for categorical data, antibiotics vs F755
## 2026-10-08 08:59:58.77184 INFO::Creating boxplot for categorical data, antibiotics vs F68
## 2026-10-08 08:59:58.88714 INFO::Creating boxplot for categorical data, antibiotics vs F78
## 2026-10-08 08:59:59.007008 INFO::Creating boxplot for categorical data, antibiotics vs F644
## 2026-10-08 08:59:59.123978 INFO::Creating boxplot for categorical data, antibiotics vs F381
## 2026-10-08 08:59:59.245285 INFO::Creating boxplot for categorical data, antibiotics vs F358
## 2026-10-08 08:59:59.365017 INFO::Creating boxplot for categorical data, antibiotics vs F344
## 2026-10-08 08:59:59.493247 INFO::Creating boxplot for categorical data, antibiotics vs F898
## 2026-10-08 08:59:59.613017 INFO::Creating boxplot for categorical data, antibiotics vs F209
## 2026-10-08 08:59:59.79585 INFO::Creating boxplot for categorical data, antibiotics vs F51
## 2026-10-08 08:59:59.93481 INFO::Creating boxplot for categorical data, antibiotics vs F149
## 2026-10-08 09:00:00.104971 INFO::Creating boxplot for categorical data, antibiotics vs F108
## 2026-10-08 09:00:00.229774 INFO::Creating boxplot for categorical data, antibiotics vs F255
## 2026-10-08 09:00:00.366787 INFO::Creating boxplot for categorical data, antibiotics vs F823
## 2026-10-08 09:00:00.492383 INFO::Creating boxplot for categorical data, antibiotics vs F864
## 2026-10-08 09:00:00.63011 INFO::Creating boxplot for categorical data, antibiotics vs F214
## 2026-10-08 09:00:00.757465 INFO::Creating boxplot for categorical data, antibiotics vs F76
## 2026-10-08 09:00:00.894211 INFO::Creating boxplot for categorical data, antibiotics vs F575
## 2026-10-08 09:00:01.026819 INFO::Creating boxplot for categorical data, antibiotics vs F13
## 2026-10-08 09:00:01.150745 INFO::Creating boxplot for categorical data, antibiotics vs F389
## 2026-10-08 09:00:01.29366 INFO::Creating boxplot for categorical data, antibiotics vs F556
## 2026-10-08 09:00:01.41589 INFO::Creating boxplot for categorical data, antibiotics vs F49
## 2026-10-08 09:00:01.559365 INFO::Creating boxplot for categorical data, antibiotics vs F436
## 2026-10-08 09:00:01.67945 INFO::Creating boxplot for categorical data, antibiotics vs F378
## 2026-10-08 09:00:01.822244 INFO::Creating boxplot for categorical data, antibiotics vs F682
## 2026-10-08 09:00:01.949788 INFO::Creating boxplot for categorical data, antibiotics vs F47
## 2026-10-08 09:00:02.088869 INFO::Creating boxplot for categorical data, antibiotics vs F429
## 2026-10-08 09:00:02.207129 INFO::Creating boxplot for categorical data, antibiotics vs F588
## 2026-10-08 09:00:02.345661 INFO::Creating boxplot for categorical data, antibiotics vs F616
## 2026-10-08 09:00:02.466574 INFO::Creating boxplot for categorical data, antibiotics vs F323
## 2026-10-08 09:00:02.607501 INFO::Creating boxplot for categorical data, antibiotics vs F409
## 2026-10-08 09:00:02.731611 INFO::Creating boxplot for categorical data, antibiotics vs F326
## 2026-10-08 09:00:02.871887 INFO::Creating boxplot for categorical data, antibiotics vs F567
## 2026-10-08 09:00:02.995725 INFO::Creating boxplot for categorical data, antibiotics vs F698
## 2026-10-08 09:00:03.133186 INFO::Creating boxplot for categorical data, antibiotics vs F179
## 2026-10-08 09:00:03.254 INFO::Creating boxplot for categorical data, antibiotics vs F79
## 2026-10-08 09:00:03.389601 INFO::Creating boxplot for categorical data, antibiotics vs F787
## 2026-10-08 09:00:03.509927 INFO::Creating boxplot for categorical data, antibiotics vs F335
## 2026-10-08 09:00:03.648588 INFO::Creating boxplot for categorical data, antibiotics vs F576
## 2026-10-08 09:00:03.772136 INFO::Creating boxplot for categorical data, antibiotics vs F667
## 2026-10-08 09:00:03.918207 INFO::Creating boxplot for categorical data, antibiotics vs F694
## 2026-10-08 09:00:04.041245 INFO::Creating boxplot for categorical data, antibiotics vs F297
## 2026-10-08 09:00:04.179937 INFO::Creating boxplot for categorical data, antibiotics vs F569
## 2026-10-08 09:00:04.296696 INFO::Creating boxplot for categorical data, antibiotics vs F611
## 2026-10-08 09:00:04.436272 INFO::Creating boxplot for categorical data, antibiotics vs F810
## 2026-10-08 09:00:04.563086 INFO::Creating boxplot for categorical data, antibiotics vs F746
## 2026-10-08 09:00:04.692121 INFO::Creating boxplot for categorical data, antibiotics vs F23
## 2026-10-08 09:00:04.825424 INFO::Creating boxplot for categorical data, antibiotics vs F138
## 2026-10-08 09:00:04.945612 INFO::Creating boxplot for categorical data, antibiotics vs F135
## 2026-10-08 09:00:05.075362 INFO::Creating boxplot for categorical data, antibiotics vs F411
## 2026-10-08 09:00:05.19346 INFO::Creating boxplot for categorical data, antibiotics vs F489
## 2026-10-08 09:00:05.371639 INFO::Creating boxplot for categorical data, antibiotics vs F492
## 2026-10-08 09:00:05.491746 INFO::Creating boxplot for categorical data, antibiotics vs F844
## 2026-10-08 09:00:05.627193 INFO::Creating boxplot for categorical data, antibiotics vs F586
## 2026-10-08 09:00:05.746455 INFO::Creating boxplot for categorical data, antibiotics vs F11
## 2026-10-08 09:00:05.874181 INFO::Creating boxplot for categorical data, antibiotics vs F900
## 2026-10-08 09:00:05.995983 INFO::Creating boxplot for categorical data, antibiotics vs F21
## 2026-10-08 09:00:06.116006 INFO::Creating boxplot for categorical data, antibiotics vs F736
## 2026-10-08 09:00:06.249779 INFO::Creating boxplot for categorical data, antibiotics vs F66
## 2026-10-08 09:00:06.367783 INFO::Creating boxplot for categorical data, antibiotics vs F408
## 2026-10-08 09:00:06.499477 INFO::Creating boxplot for categorical data, antibiotics vs F788
## 2026-10-08 09:00:06.61819 INFO::Creating boxplot for categorical data, antibiotics vs F493
## 2026-10-08 09:00:06.748406 INFO::Creating boxplot for categorical data, antibiotics vs F343
## 2026-10-08 09:00:06.87607 INFO::Creating boxplot for categorical data, antibiotics vs F352
## 2026-10-08 09:00:07.006508 INFO::Creating boxplot for categorical data, antibiotics vs F677
## 2026-10-08 09:00:07.127582 INFO::Creating boxplot for categorical data, antibiotics vs F816
## 2026-10-08 09:00:07.259045 INFO::Creating boxplot for categorical data, antibiotics vs F457
## 2026-10-08 09:00:07.38472 INFO::Creating boxplot for categorical data, antibiotics vs F330
## 2026-10-08 09:00:07.519372 INFO::Creating boxplot for categorical data, antibiotics vs F293
## 2026-10-08 09:00:07.643787 INFO::Creating boxplot for categorical data, antibiotics vs F725
## 2026-10-08 09:00:07.778164 INFO::Creating boxplot for categorical data, antibiotics vs F813
## 2026-10-08 09:00:07.90151 INFO::Creating boxplot for categorical data, antibiotics vs F295
## 2026-10-08 09:00:08.034105 INFO::Creating boxplot for categorical data, antibiotics vs F656
## 2026-10-08 09:00:08.166877 INFO::Creating boxplot for categorical data, antibiotics vs F669
## 2026-10-08 09:00:08.301105 INFO::Creating boxplot for categorical data, antibiotics vs F15
## 2026-10-08 09:00:08.430152 INFO::Creating boxplot for categorical data, antibiotics vs F419
## 2026-10-08 09:00:08.566343 INFO::Creating boxplot for categorical data, antibiotics vs F701
## 2026-10-08 09:00:08.692037 INFO::Creating boxplot for categorical data, antibiotics vs F176
## 2026-10-08 09:00:08.826383 INFO::Creating boxplot for categorical data, antibiotics vs F203
## 2026-10-08 09:00:08.951487 INFO::Creating boxplot for categorical data, antibiotics vs F501
## 2026-10-08 09:00:09.086682 INFO::Creating boxplot for categorical data, antibiotics vs F772
## 2026-10-08 09:00:09.211831 INFO::Creating boxplot for categorical data, antibiotics vs F488
## 2026-10-08 09:00:09.352345 INFO::Creating boxplot for categorical data, antibiotics vs F600
## 2026-10-08 09:00:09.480488 INFO::Creating boxplot for categorical data, antibiotics vs F768
## 2026-10-08 09:00:09.619732 INFO::Creating boxplot for categorical data, antibiotics vs F432
## 2026-10-08 09:00:09.740767 INFO::Creating boxplot for categorical data, antibiotics vs F26
## 2026-10-08 09:00:09.871979 INFO::Creating boxplot for categorical data, antibiotics vs F189
## 2026-10-08 09:00:09.99121 INFO::Creating boxplot for categorical data, antibiotics vs F200
## 2026-10-08 09:00:10.124381 INFO::Creating boxplot for categorical data, antibiotics vs F121
## 2026-10-08 09:00:10.242781 INFO::Creating boxplot for categorical data, antibiotics vs F624
## 2026-10-08 09:00:10.375998 INFO::Creating boxplot for categorical data, antibiotics vs F855
## 2026-10-08 09:00:10.494086 INFO::Creating boxplot for categorical data, antibiotics vs F380
## 2026-10-08 09:00:10.626947 INFO::Creating boxplot for categorical data, antibiotics vs F734
## 2026-10-08 09:00:10.80503 INFO::Creating boxplot for categorical data, antibiotics vs F16
## 2026-10-08 09:00:10.943978 INFO::Creating boxplot for categorical data, antibiotics vs F602
## 2026-10-08 09:00:11.065962 INFO::Creating boxplot for categorical data, antibiotics vs F210
## 2026-10-08 09:00:11.208232 INFO::Creating boxplot for categorical data, antibiotics vs F217
## 2026-10-08 09:00:11.328427 INFO::Creating boxplot for categorical data, antibiotics vs F640
## 2026-10-08 09:00:11.470784 INFO::Creating boxplot for categorical data, antibiotics vs F631
## 2026-10-08 09:00:11.595252 INFO::Creating boxplot for categorical data, antibiotics vs F32
## 2026-10-08 09:00:11.73846 INFO::Creating boxplot for categorical data, antibiotics vs F322
## 2026-10-08 09:00:11.860637 INFO::Creating boxplot for categorical data, antibiotics vs F476
## 2026-10-08 09:00:12.009067 INFO::Creating boxplot for categorical data, antibiotics vs F265
## 2026-10-08 09:00:12.134615 INFO::Creating boxplot for categorical data, antibiotics vs F283
## 2026-10-08 09:00:12.284074 INFO::Creating boxplot for categorical data, antibiotics vs F316
## 2026-10-08 09:00:12.411858 INFO::Creating boxplot for categorical data, antibiotics vs F465
## 2026-10-08 09:00:12.563337 INFO::Creating boxplot for categorical data, antibiotics vs F24
## 2026-10-08 09:00:12.688511 INFO::Creating boxplot for categorical data, antibiotics vs F38
## 2026-10-08 09:00:12.837474 INFO::Creating boxplot for categorical data, antibiotics vs F82
## 2026-10-08 09:00:12.959138 INFO::Creating boxplot for categorical data, antibiotics vs F86
## 2026-10-08 09:00:13.102908 INFO::Creating boxplot for categorical data, antibiotics vs F270
## 2026-10-08 09:00:13.227541 INFO::Creating boxplot for categorical data, antibiotics vs F485
## 2026-10-08 09:00:13.375391 INFO::Creating boxplot for categorical data, antibiotics vs F877
## 2026-10-08 09:00:13.499326 INFO::Creating boxplot for categorical data, antibiotics vs F486
## 2026-10-08 09:00:13.642041 INFO::Creating boxplot for categorical data, antibiotics vs F399
## 2026-10-08 09:00:13.775282 INFO::Creating boxplot for categorical data, antibiotics vs F573
## 2026-10-08 09:00:13.920625 INFO::Creating boxplot for categorical data, antibiotics vs F709
## 2026-10-08 09:00:14.047226 INFO::Creating boxplot for categorical data, antibiotics vs F227
## 2026-10-08 09:00:14.194016 INFO::Creating boxplot for categorical data, antibiotics vs F553
## 2026-10-08 09:00:14.324787 INFO::Creating boxplot for categorical data, antibiotics vs F123
## 2026-10-08 09:00:14.472406 INFO::Creating boxplot for categorical data, antibiotics vs F118
## 2026-10-08 09:00:14.605284 INFO::Creating boxplot for categorical data, antibiotics vs F605
## 2026-10-08 09:00:14.756513 INFO::Creating boxplot for categorical data, antibiotics vs F619
## 2026-10-08 09:00:14.885065 INFO::Creating boxplot for categorical data, antibiotics vs F830
## 2026-10-08 09:00:15.037149 INFO::Creating boxplot for categorical data, antibiotics vs F837
## 2026-10-08 09:00:15.171105 INFO::Creating boxplot for categorical data, antibiotics vs F12
## 2026-10-08 09:00:15.32029 INFO::Creating boxplot for categorical data, antibiotics vs F623
## 2026-10-08 09:00:15.449972 INFO::Creating boxplot for categorical data, antibiotics vs F806
## 2026-10-08 09:00:15.598483 INFO::Creating boxplot for categorical data, antibiotics vs F829
## 2026-10-08 09:00:15.727763 INFO::Creating boxplot for categorical data, antibiotics vs F289
## 2026-10-08 09:00:15.874337 INFO::Creating boxplot for categorical data, antibiotics vs F353
## 2026-10-08 09:00:15.999759 INFO::Creating boxplot for categorical data, antibiotics vs F93
## 2026-10-08 09:00:16.143426 INFO::Creating boxplot for categorical data, antibiotics vs F379
## 2026-10-08 09:00:16.271241 INFO::Creating boxplot for categorical data, antibiotics vs F370
## 2026-10-08 09:00:16.418373 INFO::Creating boxplot for categorical data, antibiotics vs F360
## 2026-10-08 09:00:16.543242 INFO::Creating boxplot for categorical data, antibiotics vs F710
## 2026-10-08 09:00:16.751224 INFO::Creating boxplot for categorical data, antibiotics vs F796
## 2026-10-08 09:00:16.878653 INFO::Creating boxplot for categorical data, antibiotics vs F388
## 2026-10-08 09:00:17.026623 INFO::Creating boxplot for categorical data, antibiotics vs F775
## 2026-10-08 09:00:17.151784 INFO::Creating boxplot for categorical data, antibiotics vs F174
## 2026-10-08 09:00:17.299371 INFO::Creating boxplot for categorical data, antibiotics vs F601
## 2026-10-08 09:00:17.427772 INFO::Creating boxplot for categorical data, antibiotics vs F836
## 2026-10-08 09:00:17.575243 INFO::Creating boxplot for categorical data, antibiotics vs F192
## 2026-10-08 09:00:17.702378 INFO::Creating boxplot for categorical data, antibiotics vs F463
## 2026-10-08 09:00:17.849111 INFO::Creating boxplot for categorical data, antibiotics vs F57
## 2026-10-08 09:00:17.977275 INFO::Creating boxplot for categorical data, antibiotics vs F658
## 2026-10-08 09:00:18.126167 INFO::Creating boxplot for categorical data, antibiotics vs F596
## 2026-10-08 09:00:18.25764 INFO::Creating boxplot for categorical data, antibiotics vs F104
## 2026-10-08 09:00:18.407152 INFO::Creating boxplot for categorical data, antibiotics vs F218
## 2026-10-08 09:00:18.539494 INFO::Creating boxplot for categorical data, antibiotics vs F466
## 2026-10-08 09:00:18.685128 INFO::Creating boxplot for categorical data, antibiotics vs F737
## 2026-10-08 09:00:18.817248 INFO::Creating boxplot for categorical data, antibiotics vs F487
## 2026-10-08 09:00:18.955583 INFO::Creating boxplot for categorical data, antibiotics vs F369
## 2026-10-08 09:00:19.093024 INFO::Creating boxplot for categorical data, antibiotics vs F584
## 2026-10-08 09:00:19.226937 INFO::Creating boxplot for categorical data, antibiotics vs F166
## 2026-10-08 09:00:19.370622 INFO::Creating boxplot for categorical data, antibiotics vs F822
## 2026-10-08 09:00:19.507807 INFO::Creating boxplot for categorical data, antibiotics vs F70
## 2026-10-08 09:00:19.648393 INFO::Creating boxplot for categorical data, antibiotics vs F243
## 2026-10-08 09:00:19.782963 INFO::Creating boxplot for categorical data, antibiotics vs F498
## 2026-10-08 09:00:19.923258 INFO::Creating boxplot for categorical data, antibiotics vs F272
## 2026-10-08 09:00:20.059065 INFO::Creating boxplot for categorical data, antibiotics vs F881
## 2026-10-08 09:00:20.198611 INFO::Creating boxplot for categorical data, antibiotics vs F761
## 2026-10-08 09:00:20.335596 INFO::Creating boxplot for categorical data, antibiotics vs F781
## 2026-10-08 09:00:20.474438 INFO::Creating boxplot for categorical data, antibiotics vs F697
## 2026-10-08 09:00:20.616541 INFO::Creating boxplot for categorical data, antibiotics vs F890
## 2026-10-08 09:00:20.754976 INFO::Creating boxplot for categorical data, antibiotics vs F197
## 2026-10-08 09:00:20.906164 INFO::Creating boxplot for categorical data, antibiotics vs F826
## 2026-10-08 09:00:21.037465 INFO::Creating boxplot for categorical data, antibiotics vs F641
## 2026-10-08 09:00:21.182284 INFO::Creating boxplot for categorical data, antibiotics vs F700
## 2026-10-08 09:00:21.313865 INFO::Creating boxplot for categorical data, antibiotics vs F280
## 2026-10-08 09:00:21.471485 INFO::Creating boxplot for categorical data, antibiotics vs F531
## 2026-10-08 09:00:21.614039 INFO::Creating boxplot for categorical data, antibiotics vs F660
## 2026-10-08 09:00:21.772594 INFO::Creating boxplot for categorical data, antibiotics vs F257
## 2026-10-08 09:00:21.917523 INFO::Creating boxplot for categorical data, antibiotics vs F136
## 2026-10-08 09:00:22.07964 INFO::Creating boxplot for categorical data, antibiotics vs F875
## 2026-10-08 09:00:22.219696 INFO::Creating boxplot for categorical data, antibiotics vs F160
## 2026-10-08 09:00:22.379559 INFO::Creating boxplot for categorical data, antibiotics vs F642
## 2026-10-08 09:00:22.508568 INFO::Creating boxplot for categorical data, antibiotics vs F782
## 2026-10-08 09:00:22.732778 INFO::Creating boxplot for categorical data, antibiotics vs F730
## 2026-10-08 09:00:22.873531 INFO::Creating boxplot for categorical data, antibiotics vs F679
## 2026-10-08 09:00:23.044482 INFO::Creating boxplot for categorical data, antibiotics vs F713
## 2026-10-08 09:00:23.188774 INFO::Creating boxplot for categorical data, antibiotics vs F821
## 2026-10-08 09:00:23.375321 INFO::Creating boxplot for categorical data, antibiotics vs F443
## 2026-10-08 09:00:23.521577 INFO::Creating boxplot for categorical data, antibiotics vs F25
## 2026-10-08 09:00:23.703819 INFO::Creating boxplot for categorical data, antibiotics vs F338
## 2026-10-08 09:00:23.836589 INFO::Creating boxplot for categorical data, antibiotics vs F647
## 2026-10-08 09:00:24.010982 INFO::Creating boxplot for categorical data, antibiotics vs F729
## 2026-10-08 09:00:24.151345 INFO::Creating boxplot for categorical data, antibiotics vs F817
## 2026-10-08 09:00:24.323896 INFO::Creating boxplot for categorical data, antibiotics vs F535
## 2026-10-08 09:00:24.474561 INFO::Creating boxplot for categorical data, antibiotics vs F634
## 2026-10-08 09:00:24.631027 INFO::Creating boxplot for categorical data, antibiotics vs F533
## 2026-10-08 09:00:24.782082 INFO::Creating boxplot for categorical data, antibiotics vs F571
## 2026-10-08 09:00:24.930218 INFO::Creating boxplot for categorical data, antibiotics vs F808
## 2026-10-08 09:00:25.092819 INFO::Creating boxplot for categorical data, antibiotics vs F529
## 2026-10-08 09:00:25.247972 INFO::Creating boxplot for categorical data, antibiotics vs F827
## 2026-10-08 09:00:25.414142 INFO::Creating boxplot for categorical data, antibiotics vs F107
## 2026-10-08 09:00:25.561137 INFO::Creating boxplot for categorical data, antibiotics vs F515
## 2026-10-08 09:00:25.72252 INFO::Creating boxplot for categorical data, antibiotics vs F305
## 2026-10-08 09:00:25.859646 INFO::Creating boxplot for categorical data, antibiotics vs F662
## 2026-10-08 09:00:26.031475 INFO::Creating boxplot for categorical data, antibiotics vs F310
## 2026-10-08 09:00:26.16541 INFO::Creating boxplot for categorical data, antibiotics vs F173
## 2026-10-08 09:00:26.331178 INFO::Creating boxplot for categorical data, antibiotics vs F820
## 2026-10-08 09:00:26.473493 INFO::Creating boxplot for categorical data, antibiotics vs F743
## 2026-10-08 09:00:26.633606 INFO::Creating boxplot for categorical data, antibiotics vs F63
## 2026-10-08 09:00:26.773397 INFO::Creating boxplot for categorical data, antibiotics vs F215
## 2026-10-08 09:00:26.927634 INFO::Creating boxplot for categorical data, antibiotics vs F216
## 2026-10-08 09:00:27.07221 INFO::Creating boxplot for categorical data, antibiotics vs F245
## 2026-10-08 09:00:27.232297 INFO::Creating boxplot for categorical data, antibiotics vs F430
## 2026-10-08 09:00:27.380414 INFO::Creating boxplot for categorical data, antibiotics vs F862
## 2026-10-08 09:00:27.531359 INFO::Creating boxplot for categorical data, antibiotics vs F541
## 2026-10-08 09:00:27.685688 INFO::Creating boxplot for categorical data, antibiotics vs F558
## 2026-10-08 09:00:27.834172 INFO::Creating boxplot for categorical data, antibiotics vs F633
## 2026-10-08 09:00:27.994288 INFO::Creating boxplot for categorical data, antibiotics vs F94
## 2026-10-08 09:00:28.134663 INFO::Creating boxplot for categorical data, antibiotics vs F238
## 2026-10-08 09:00:28.301146 INFO::Creating boxplot for categorical data, antibiotics vs F574
## 2026-10-08 09:00:28.432843 INFO::Creating boxplot for categorical data, antibiotics vs F815
## 2026-10-08 09:00:28.600079 INFO::Creating boxplot for categorical data, antibiotics vs F587
## 2026-10-08 09:00:28.731121 INFO::Creating boxplot for categorical data, antibiotics vs F464
## 2026-10-08 09:00:28.897431 INFO::Creating boxplot for categorical data, antibiotics vs F590
## 2026-10-08 09:00:29.028804 INFO::Creating boxplot for categorical data, antibiotics vs F124
## 2026-10-08 09:00:29.791224 INFO::Creating boxplot for categorical data, antibiotics vs F664
## 2026-10-08 09:00:29.905632 INFO::Creating boxplot for categorical data, antibiotics vs F100
## 2026-10-08 09:00:30.029408 INFO::Creating boxplot for categorical data, antibiotics vs F444
## 2026-10-08 09:00:30.147319 INFO::Creating boxplot for categorical data, antibiotics vs F147
## 2026-10-08 09:00:30.26103 INFO::Creating boxplot for categorical data, antibiotics vs F597
## 2026-10-08 09:00:30.37692 INFO::Creating boxplot for categorical data, antibiotics vs F650
## 2026-10-08 09:00:30.499654 INFO::Creating boxplot for categorical data, antibiotics vs F363
## 2026-10-08 09:00:30.610944 INFO::Creating boxplot for categorical data, antibiotics vs F521
## 2026-10-08 09:00:30.732101 INFO::Creating boxplot for categorical data, antibiotics vs F412
## 2026-10-08 09:00:30.847176 INFO::Creating boxplot for categorical data, antibiotics vs F279
## 2026-10-08 09:00:30.972736 INFO::Creating boxplot for categorical data, antibiotics vs F225
## 2026-10-08 09:00:31.084414 INFO::Creating boxplot for categorical data, antibiotics vs F10
## 2026-10-08 09:00:31.199617 INFO::Creating boxplot for categorical data, antibiotics vs F481
## 2026-10-08 09:00:31.324253 INFO::Creating boxplot for categorical data, antibiotics vs F861
## 2026-10-08 09:00:31.439351 INFO::Creating boxplot for categorical data, antibiotics vs F888
## 2026-10-08 09:00:31.559867 INFO::Creating boxplot for categorical data, antibiotics vs F156
## 2026-10-08 09:00:31.682275 INFO::Creating boxplot for categorical data, antibiotics vs F857
## 2026-10-08 09:00:31.801442 INFO::Creating boxplot for categorical data, antibiotics vs F294
## 2026-10-08 09:00:31.91624 INFO::Creating boxplot for categorical data, antibiotics vs F244
## 2026-10-08 09:00:32.043526 INFO::Creating boxplot for categorical data, antibiotics vs F514
## 2026-10-08 09:00:32.15673 INFO::Creating boxplot for categorical data, antibiotics vs F304
## 2026-10-08 09:00:32.276169 INFO::Creating boxplot for categorical data, antibiotics vs F509
## 2026-10-08 09:00:32.399561 INFO::Creating boxplot for categorical data, antibiotics vs F196
## 2026-10-08 09:00:32.522528 INFO::Creating boxplot for categorical data, antibiotics vs F550
## 2026-10-08 09:00:32.635761 INFO::Creating boxplot for categorical data, antibiotics vs F833
## 2026-10-08 09:00:32.760802 INFO::Creating boxplot for categorical data, antibiotics vs F869
## 2026-10-08 09:00:32.872082 INFO::Creating boxplot for categorical data, antibiotics vs F364
## 2026-10-08 09:00:32.998695 INFO::Creating boxplot for categorical data, antibiotics vs F583
## 2026-10-08 09:00:33.120776 INFO::Creating boxplot for categorical data, antibiotics vs F441
## 2026-10-08 09:00:33.240991 INFO::Creating boxplot for categorical data, antibiotics vs F595
## 2026-10-08 09:00:33.356545 INFO::Creating boxplot for categorical data, antibiotics vs F35
## 2026-10-08 09:00:33.527713 INFO::Creating boxplot for categorical data, antibiotics vs F630
## 2026-10-08 09:00:33.646236 INFO::Creating boxplot for categorical data, antibiotics vs F401
## 2026-10-08 09:00:33.764086 INFO::Creating boxplot for categorical data, antibiotics vs F239
## 2026-10-08 09:00:33.885036 INFO::Creating boxplot for categorical data, antibiotics vs F250
## 2026-10-08 09:00:34.001314 INFO::Creating boxplot for categorical data, antibiotics vs F287
## 2026-10-08 09:00:34.115041 INFO::Creating boxplot for categorical data, antibiotics vs F88
## 2026-10-08 09:00:34.237555 INFO::Creating boxplot for categorical data, antibiotics vs F539
## 2026-10-08 09:00:34.349158 INFO::Creating boxplot for categorical data, antibiotics vs F752
## 2026-10-08 09:00:34.465933 INFO::Creating boxplot for categorical data, antibiotics vs F126
## 2026-10-08 09:00:34.588773 INFO::Creating boxplot for categorical data, antibiotics vs F362
## 2026-10-08 09:00:34.70278 INFO::Creating boxplot for categorical data, antibiotics vs F69
## 2026-10-08 09:00:34.867867 INFO::Creating boxplot for categorical data, antibiotics vs F753
## 2026-10-08 09:00:34.998782 INFO::Creating boxplot for categorical data, antibiotics vs F469
## 2026-10-08 09:00:35.123158 INFO::Creating boxplot for categorical data, antibiotics vs F14
## 2026-10-08 09:00:35.263419 INFO::Creating boxplot for categorical data, antibiotics vs F803
## 2026-10-08 09:00:35.388485 INFO::Creating boxplot for categorical data, antibiotics vs F814
## 2026-10-08 09:00:35.530741 INFO::Creating boxplot for categorical data, antibiotics vs F449
## 2026-10-08 09:00:35.659425 INFO::Creating boxplot for categorical data, antibiotics vs F494
## 2026-10-08 09:00:35.793289 INFO::Creating boxplot for categorical data, antibiotics vs F439
## 2026-10-08 09:00:35.917138 INFO::Creating boxplot for categorical data, antibiotics vs F686
## 2026-10-08 09:00:36.053908 INFO::Creating boxplot for categorical data, antibiotics vs F591
## 2026-10-08 09:00:36.184239 INFO::Creating boxplot for categorical data, antibiotics vs F735
## 2026-10-08 09:00:36.318897 INFO::Creating boxplot for categorical data, antibiotics vs F111
## 2026-10-08 09:00:36.439362 INFO::Creating boxplot for categorical data, antibiotics vs F346
## 2026-10-08 09:00:36.575443 INFO::Creating boxplot for categorical data, antibiotics vs F29
## 2026-10-08 09:00:36.697297 INFO::Creating boxplot for categorical data, antibiotics vs F376
## 2026-10-08 09:00:36.841872 INFO::Creating boxplot for categorical data, antibiotics vs F414
## 2026-10-08 09:00:36.966059 INFO::Creating boxplot for categorical data, antibiotics vs F555
## 2026-10-08 09:00:37.106074 INFO::Creating boxplot for categorical data, antibiotics vs F517
## 2026-10-08 09:00:37.226979 INFO::Creating boxplot for categorical data, antibiotics vs F544
## 2026-10-08 09:00:37.360084 INFO::Creating boxplot for categorical data, antibiotics vs F339
## 2026-10-08 09:00:37.483612 INFO::Creating boxplot for categorical data, antibiotics vs F689
## 2026-10-08 09:00:37.62027 INFO::Creating boxplot for categorical data, antibiotics vs F391
## 2026-10-08 09:00:37.747044 INFO::Creating boxplot for categorical data, antibiotics vs F502
## 2026-10-08 09:00:37.884411 INFO::Creating boxplot for categorical data, antibiotics vs F298
## 2026-10-08 09:00:38.063246 INFO::Creating boxplot for categorical data, antibiotics vs F337
## 2026-10-08 09:00:38.200209 INFO::Creating boxplot for categorical data, antibiotics vs F773
## 2026-10-08 09:00:38.327535 INFO::Creating boxplot for categorical data, antibiotics vs F592
## 2026-10-08 09:00:38.46246 INFO::Creating boxplot for categorical data, antibiotics vs F307
## 2026-10-08 09:00:38.589959 INFO::Creating boxplot for categorical data, antibiotics vs F115
## 2026-10-08 09:00:38.725416 INFO::Creating boxplot for categorical data, antibiotics vs F739
## 2026-10-08 09:00:38.847531 INFO::Creating boxplot for categorical data, antibiotics vs F433
## 2026-10-08 09:00:38.981163 INFO::Creating boxplot for categorical data, antibiotics vs F384
## 2026-10-08 09:00:39.104007 INFO::Creating boxplot for categorical data, antibiotics vs F750
## 2026-10-08 09:00:39.237983 INFO::Creating boxplot for categorical data, antibiotics vs F762
## 2026-10-08 09:00:39.358579 INFO::Creating boxplot for categorical data, antibiotics vs F277
## 2026-10-08 09:00:39.493344 INFO::Creating boxplot for categorical data, antibiotics vs F839
## 2026-10-08 09:00:39.61448 INFO::Creating boxplot for categorical data, antibiotics vs F127
## 2026-10-08 09:00:39.751735 INFO::Creating boxplot for categorical data, antibiotics vs F554
## 2026-10-08 09:00:39.871797 INFO::Creating boxplot for categorical data, antibiotics vs F676
## 2026-10-08 09:00:40.008287 INFO::Creating boxplot for categorical data, antibiotics vs F568
## 2026-10-08 09:00:40.132579 INFO::Creating boxplot for categorical data, antibiotics vs F137
## 2026-10-08 09:00:40.270237 INFO::Creating boxplot for categorical data, antibiotics vs F871
## 2026-10-08 09:00:40.390152 INFO::Creating boxplot for categorical data, antibiotics vs F60
## 2026-10-08 09:00:40.594603 INFO::Creating boxplot for categorical data, antibiotics vs F98
## 2026-10-08 09:00:40.7218 INFO::Creating boxplot for categorical data, antibiotics vs F131
## 2026-10-08 09:00:40.862506 INFO::Creating boxplot for categorical data, antibiotics vs F530
## 2026-10-08 09:00:40.990573 INFO::Creating boxplot for categorical data, antibiotics vs F809
## 2026-10-08 09:00:41.131742 INFO::Creating boxplot for categorical data, antibiotics vs F894
## 2026-10-08 09:00:41.264174 INFO::Creating boxplot for categorical data, antibiotics vs F22
## 2026-10-08 09:00:41.404371 INFO::Creating boxplot for categorical data, antibiotics vs F818
## 2026-10-08 09:00:41.532702 INFO::Creating boxplot for categorical data, antibiotics vs F559
## 2026-10-08 09:00:41.672649 INFO::Creating boxplot for categorical data, antibiotics vs F741
## 2026-10-08 09:00:41.79975 INFO::Creating boxplot for categorical data, antibiotics vs F398
## 2026-10-08 09:00:41.931449 INFO::Creating boxplot for categorical data, antibiotics vs F357
## 2026-10-08 09:00:42.067372 INFO::Creating boxplot for categorical data, antibiotics vs F426
## 2026-10-08 09:00:42.192319 INFO::Creating boxplot for categorical data, antibiotics vs F119
## 2026-10-08 09:00:42.334954 INFO::Creating boxplot for categorical data, antibiotics vs F204
## 2026-10-08 09:00:42.456619 INFO::Creating boxplot for categorical data, antibiotics vs F851
## 2026-10-08 09:00:42.595054 INFO::Creating boxplot for categorical data, antibiotics vs F657
## 2026-10-08 09:00:42.717267 INFO::Creating boxplot for categorical data, antibiotics vs F801
## 2026-10-08 09:00:42.853486 INFO::Creating boxplot for categorical data, antibiotics vs F859
## 2026-10-08 09:00:42.977987 INFO::Creating boxplot for categorical data, antibiotics vs F480
## 2026-10-08 09:00:43.11411 INFO::Creating boxplot for categorical data, antibiotics vs F507
## 2026-10-08 09:00:43.237462 INFO::Creating boxplot for categorical data, antibiotics vs F207
## 2026-10-08 09:00:43.374344 INFO::Creating boxplot for categorical data, antibiotics vs F367
## 2026-10-08 09:00:44.730865 INFO::Plotting data for metadata number 3, age
## 2026-10-08 09:00:44.731904 INFO::Creating scatter plot for continuous data, age vs F340
## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` instead.
## ℹ The deprecated feature was likely used in the Maaslin2 package.
##   Please report the issue at <https://github.com/biobakery/maaslin2/issues>.
## This warning is displayed once per session.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:44.911911 INFO::Creating scatter plot for continuous data, age vs F603
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:45.111234 INFO::Creating scatter plot for continuous data, age vs F356
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:45.259225 INFO::Creating scatter plot for continuous data, age vs F181
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:45.390138 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()`).
## 2026-10-08 09:00:45.527284 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()`).
## 2026-10-08 09:00:45.652937 INFO::Creating scatter plot for continuous data, age vs F743
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:45.790545 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()`).
## 2026-10-08 09:00:45.92152 INFO::Creating scatter plot for continuous data, age vs F436
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:46.055953 INFO::Creating scatter plot for continuous data, age vs F219
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:46.179852 INFO::Creating scatter plot for continuous data, age vs F483
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:46.318327 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()`).
## 2026-10-08 09:00:46.4362 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()`).
## 2026-10-08 09:00:46.64671 INFO::Creating scatter plot for continuous data, age vs F211
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:46.775923 INFO::Creating scatter plot for continuous data, age vs F732
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:46.913297 INFO::Creating scatter plot for continuous data, age vs F222
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:47.033898 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()`).
## 2026-10-08 09:00:47.181404 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()`).
## 2026-10-08 09:00:47.305467 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()`).
## 2026-10-08 09:00:47.454648 INFO::Creating scatter plot for continuous data, age vs F174
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:47.570315 INFO::Creating scatter plot for continuous data, age vs F17
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:47.714733 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()`).
## 2026-10-08 09:00:47.83913 INFO::Creating scatter plot for continuous data, age vs F835
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:47.977332 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()`).
## 2026-10-08 09:00:48.113722 INFO::Creating scatter plot for continuous data, age vs F383
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:48.25723 INFO::Creating scatter plot for continuous data, age vs F623
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:48.37887 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()`).
## 2026-10-08 09:00:48.573863 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()`).
## 2026-10-08 09:00:48.701965 INFO::Creating scatter plot for continuous data, age vs F528
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:48.887735 INFO::Creating scatter plot for continuous data, age vs F13
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:49.009212 INFO::Creating scatter plot for continuous data, age vs F36
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:49.151311 INFO::Creating scatter plot for continuous data, age vs F285
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:49.276052 INFO::Creating scatter plot for continuous data, age vs F404
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:49.420578 INFO::Creating scatter plot for continuous data, age vs F894
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:49.544323 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()`).
## 2026-10-08 09:00:49.699325 INFO::Creating scatter plot for continuous data, age vs F32
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:49.817239 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()`).
## 2026-10-08 09:00:49.96558 INFO::Creating scatter plot for continuous data, age vs F97
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:50.088775 INFO::Creating scatter plot for continuous data, age vs F849
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:50.233592 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()`).
## 2026-10-08 09:00:50.358315 INFO::Creating scatter plot for continuous data, age vs F513
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:50.495764 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()`).
## 2026-10-08 09:00:50.621396 INFO::Creating scatter plot for continuous data, age vs F793
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:50.759314 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()`).
## 2026-10-08 09:00:50.897804 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()`).
## 2026-10-08 09:00:51.028945 INFO::Creating scatter plot for continuous data, age vs F541
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:51.178133 INFO::Creating scatter plot for continuous data, age vs F496
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:51.295495 INFO::Creating scatter plot for continuous data, age vs F386
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:51.438749 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()`).
## 2026-10-08 09:00:51.570131 INFO::Creating scatter plot for continuous data, age vs F704
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:51.713688 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()`).
## 2026-10-08 09:00:51.834791 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()`).
## 2026-10-08 09:00:51.984946 INFO::Creating scatter plot for continuous data, age vs F735
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:52.098062 INFO::Creating scatter plot for continuous data, age vs F481
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:52.302516 INFO::Creating scatter plot for continuous data, age vs F635
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:52.421484 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()`).
## 2026-10-08 09:00:52.576894 INFO::Creating scatter plot for continuous data, age vs F652
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:52.700929 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()`).
## 2026-10-08 09:00:52.84976 INFO::Creating scatter plot for continuous data, age vs F82
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:52.978254 INFO::Creating scatter plot for continuous data, age vs F7
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:53.118016 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()`).
## 2026-10-08 09:00:53.246038 INFO::Creating scatter plot for continuous data, age vs F593
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:53.392744 INFO::Creating scatter plot for continuous data, age vs F733
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:53.510532 INFO::Creating scatter plot for continuous data, age vs F410
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:53.662241 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()`).
## 2026-10-08 09:00:53.788472 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()`).
## 2026-10-08 09:00:53.938792 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()`).
## 2026-10-08 09:00:54.062499 INFO::Creating scatter plot for continuous data, age vs F856
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:54.210197 INFO::Creating scatter plot for continuous data, age vs F680
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:54.339178 INFO::Creating scatter plot for continuous data, age vs F19
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:54.480912 INFO::Creating scatter plot for continuous data, age vs F860
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:54.601579 INFO::Creating scatter plot for continuous data, age vs F859
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:54.744359 INFO::Creating scatter plot for continuous data, age vs F522
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:54.871256 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()`).
## 2026-10-08 09:00:55.02547 INFO::Creating scatter plot for continuous data, age vs F899
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:55.141737 INFO::Creating scatter plot for continuous data, age vs F782
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:55.281488 INFO::Creating scatter plot for continuous data, age vs F839
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:55.405331 INFO::Creating scatter plot for continuous data, age vs F827
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:55.553928 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()`).
## 2026-10-08 09:00:55.684544 INFO::Creating scatter plot for continuous data, age vs F345
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:55.833706 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()`).
## 2026-10-08 09:00:55.958878 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()`).
## 2026-10-08 09:00:56.112065 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()`).
## 2026-10-08 09:00:56.254398 INFO::Creating scatter plot for continuous data, age vs F752
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:56.38805 INFO::Creating scatter plot for continuous data, age vs F877
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:56.527077 INFO::Creating scatter plot for continuous data, age vs F848
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:56.653213 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()`).
## 2026-10-08 09:00:56.802392 INFO::Creating scatter plot for continuous data, age vs F751
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:56.920014 INFO::Creating scatter plot for continuous data, age vs F15
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:57.06632 INFO::Creating scatter plot for continuous data, age vs F521
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:57.191846 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()`).
## 2026-10-08 09:00:57.336698 INFO::Creating scatter plot for continuous data, age vs F319
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:57.456185 INFO::Creating scatter plot for continuous data, age vs F96
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:57.599337 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()`).
## 2026-10-08 09:00:57.720646 INFO::Creating scatter plot for continuous data, age vs F241
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:57.931731 INFO::Creating scatter plot for continuous data, age vs F582
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:58.061503 INFO::Creating scatter plot for continuous data, age vs F822
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:58.22135 INFO::Creating scatter plot for continuous data, age vs F748
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:58.353495 INFO::Creating scatter plot for continuous data, age vs F147
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:58.504298 INFO::Creating scatter plot for continuous data, age vs F16
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:58.637721 INFO::Creating scatter plot for continuous data, age vs F212
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:58.786165 INFO::Creating scatter plot for continuous data, age vs F718
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:58.913496 INFO::Creating scatter plot for continuous data, age vs F663
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:59.062383 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()`).
## 2026-10-08 09:00:59.197936 INFO::Creating scatter plot for continuous data, age vs F865
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:59.353811 INFO::Creating scatter plot for continuous data, age vs F421
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:59.480943 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()`).
## 2026-10-08 09:00:59.636704 INFO::Creating scatter plot for continuous data, age vs F84
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:00:59.762608 INFO::Creating scatter plot for continuous data, age vs F123
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:00:59.920881 INFO::Creating scatter plot for continuous data, age vs F566
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:01:00.045233 INFO::Creating scatter plot for continuous data, age vs F370
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:01:00.199284 INFO::Creating scatter plot for continuous data, age vs F65
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:01:00.322295 INFO::Creating scatter plot for continuous data, age vs F263
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:01:00.476511 INFO::Creating scatter plot for continuous data, age vs F119
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:01:00.599659 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()`).
## 2026-10-08 09:01:00.759972 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()`).
## 2026-10-08 09:01:00.890702 INFO::Creating scatter plot for continuous data, age vs F628
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:01:01.04394 INFO::Creating scatter plot for continuous data, age vs F152
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:01:01.165226 INFO::Creating scatter plot for continuous data, age vs F699
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:01:01.323271 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()`).
## 2026-10-08 09:01:01.461662 INFO::Creating scatter plot for continuous data, age vs F575
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:01:01.629802 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()`).
## 2026-10-08 09:01:01.761701 INFO::Creating scatter plot for continuous data, age vs F380
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:01:01.926732 INFO::Creating scatter plot for continuous data, age vs F504
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:01:02.061524 INFO::Creating scatter plot for continuous data, age vs F172
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:01:02.222931 INFO::Creating scatter plot for continuous data, age vs F34
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:01:02.364483 INFO::Creating scatter plot for continuous data, age vs F199
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:01:02.518317 INFO::Creating scatter plot for continuous data, age vs F198
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:01:02.662576 INFO::Creating scatter plot for continuous data, age vs F479
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:01:02.812356 INFO::Creating scatter plot for continuous data, age vs F673
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:01:02.966518 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()`).
## 2026-10-08 09:01:03.106135 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()`).
## 2026-10-08 09:01:03.281534 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()`).
## 2026-10-08 09:01:03.423627 INFO::Creating scatter plot for continuous data, age vs F609
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:01:03.576756 INFO::Creating scatter plot for continuous data, age vs F40
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:01:03.701538 INFO::Creating scatter plot for continuous data, age vs F821
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:01:04.469173 INFO::Creating scatter plot for continuous data, age vs F643
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:01:04.572855 INFO::Creating scatter plot for continuous data, age vs F759
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:01:04.684051 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()`).
## 2026-10-08 09:01:04.790805 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()`).
## 2026-10-08 09:01:04.90219 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()`).
## 2026-10-08 09:01:05.015529 INFO::Creating scatter plot for continuous data, age vs F101
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:01:05.135876 INFO::Creating scatter plot for continuous data, age vs F890
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:01:05.241284 INFO::Creating scatter plot for continuous data, age vs F655
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:01:05.364124 INFO::Creating scatter plot for continuous data, age vs F95
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:01:05.476255 INFO::Creating scatter plot for continuous data, age vs F775
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:01:05.596563 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()`).
## 2026-10-08 09:01:05.705425 INFO::Creating scatter plot for continuous data, age vs F353
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:01:05.817604 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()`).
## 2026-10-08 09:01:05.934444 INFO::Creating scatter plot for continuous data, age vs F480
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:01:06.051751 INFO::Creating scatter plot for continuous data, age vs F295
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:01:06.167558 INFO::Creating scatter plot for continuous data, age vs F459
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:01:06.277802 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()`).
## 2026-10-08 09:01:06.393035 INFO::Creating scatter plot for continuous data, age vs F146
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:01:06.50451 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()`).
## 2026-10-08 09:01:06.619874 INFO::Creating scatter plot for continuous data, age vs F443
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:01:06.726131 INFO::Creating scatter plot for continuous data, age vs F871
## `geom_smooth()` using formula = 'y ~ x'
## 2026-10-08 09:01:06.840119 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()`).
## 2026-10-08 09:01:06.951136 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()`).
## 2026-10-08 09:01:07.065948 INFO::Creating scatter plot for continuous data, age vs F864
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-10-08 09:01:07.178529 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()`).
## 2026-10-08 09:01:07.297122 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()`).
## 2026-10-08 09:01:07.413772 INFO::Creating scatter plot for continuous data, age vs F393
## `geom_smooth()` using formula = 'y ~ x'
## `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'
## Warning: Removed 2 rows 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'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## `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'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## `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()`).
## 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
## 2026-10-08 09:01:08.624457 INFO::Writing all prioritized metabolites to file: Macarron_output/prioritized_metabolites_all.csv
## 2026-10-08 09:01:08.627958 INFO::Writing characterizable prioritized metabolites to file: Macarron_output/prioritized_metabolites_characterizable.csv
## 2026-10-08 09:01:08.635761 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 4.6.1 (2026-06-24)
## Platform: x86_64-pc-linux-gnu
## Running under: Ubuntu 26.04.1 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-r0.3.32.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=en_US.UTF-8    
##  [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_1.17.0             SummarizedExperiment_1.43.0
##  [3] Biobase_2.73.2              GenomicRanges_1.65.4       
##  [5] Seqinfo_1.3.2               IRanges_2.47.5             
##  [7] S4Vectors_0.51.10           BiocGenerics_0.59.12       
##  [9] generics_0.1.4              MatrixGenerics_1.25.0      
## [11] matrixStats_1.5.0           BiocStyle_2.41.0           
## 
## loaded via a namespace (and not attached):
##  [1] mnormt_2.1.2          DBI_1.3.0             pbapply_1.7-5        
##  [4] gridExtra_2.3.1       rlang_1.3.0           magrittr_2.0.5       
##  [7] otel_0.2.0            compiler_4.6.1        mgcv_1.9-4           
## [10] vctrs_0.7.3           stringr_1.6.0         pkgconfig_2.0.3      
## [13] crayon_1.5.3          fastmap_1.2.0         backports_1.5.1      
## [16] XVector_0.53.0        labeling_0.4.3        rmarkdown_2.32       
## [19] preprocessCore_1.75.1 xfun_0.61             cachem_1.1.0         
## [22] jsonlite_2.0.0        DelayedArray_0.39.8   BiocParallel_1.47.0  
## [25] psych_2.6.9           parallel_4.6.1        Maaslin2_1.27.0      
## [28] cluster_2.1.8.3       R6_2.6.1              biglm_0.9-3          
## [31] bslib_0.12.0          stringi_1.8.9         RColorBrewer_1.1-3   
## [34] rpart_4.1.27          jquerylib_0.1.4       Rcpp_1.1.2           
## [37] iterators_1.0.14      knitr_1.52            WGCNA_1.74           
## [40] base64enc_0.1-6       Matrix_1.7-6          splines_4.6.1        
## [43] nnet_7.3-21           tidyselect_1.2.1      rstudioapi_0.19.0    
## [46] abind_1.4-8           yaml_2.3.12           doParallel_1.0.17    
## [49] codetools_0.2-20      plyr_1.8.9            lattice_0.23-1       
## [52] tibble_3.3.1          withr_3.0.3           S7_0.2.2             
## [55] evaluate_1.0.5        foreign_0.8-91        survival_3.8-12      
## [58] pillar_1.11.1         BiocManager_1.30.27   checkmate_2.3.4      
## [61] foreach_1.5.2         pcaPP_2.0-7           ggplot2_4.0.3        
## [64] scales_1.4.0          glue_1.8.1            Hmisc_5.3-0          
## [67] maketools_1.3.2       tools_4.6.1           robustbase_0.99-7    
## [70] sys_3.4.3             data.table_1.18.6.1   buildtools_1.0.0     
## [73] mvtnorm_1.4-2         fastcluster_1.3.0     grid_4.6.1           
## [76] impute_1.87.0         optparse_1.8.2        colorspace_2.1-3     
## [79] nlme_3.1-171          htmlTable_2.5.0       Formula_1.2-6        
## [82] cli_3.6.6             S4Arrays_1.13.2       dplyr_1.2.1          
## [85] gtable_0.3.6          DEoptimR_1.2-2        logging_0.10-111     
## [88] dynamicTreeCut_1.63-1 hash_2.2.6.4          sass_0.4.10          
## [91] digest_0.6.39         SparseArray_1.13.4    htmlwidgets_1.6.4    
## [94] farver_2.1.2          htmltools_0.5.9       lifecycle_1.0.5

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.

prism_annotations <-system.file(
    'extdata','demo_annotations.csv', package="Macarron")
annotations_df <- read.csv(file = prism_annotations, row.names = 1) # setting features as rownames
taxonomy_df <- decorateID(input_annotations = annotations_df)

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.