OPTION:FORMAT:data format: ' absoluteIDQ '
OPTION:MISSING:treat LOD/out of quant. data as missing: ' n '
OPTION:OUTLIER:drop outliers : ' n '
OPTION:REFERENCE:drop reference samples : ' y '
OPTION:DEL_METABS:drop metabolites with cv > 0.25 : ' y '
OPTION:RATIOS:calculate metabolite ratios : ' n '
AUX:Barplots of each metabolite class have equal y axis: TRUE 
Fileformat MetIQ - original
Read MetIQ dataset with 334 columns and 243 rows
AbsoluteIDQ data format
Keeping data annotated as non-valid
EXTRACT: 243  samples and  162  metabolites extracted
AbsoluteIDQ data format
Non-valid data annotated as missing
PHENOTYPES_UPLOAD:Found  243  matched lines with  2  phenotypes specified<br>
REPLICATES:Found  REPLICATES  as a phenotype for data quality checks
PHENOTYPES_UPLOAD:Found  plasma.type as non-data quality phenotypes<br>
BATCHES:Added Plate.bar.code as a phenotypes for data quality checks
Wrote machted dataset to data_all_beforeCheck.csv
DEL_METAB:Found  9 metabolites with cv above  0.25 
Boxplots generated
No extreme outliers identified
No extreme outliers identified
 234  samples and  153  metabolites in checked data set
Wrote machted dataset to data_all.csv
Phenotype  plasma.type  is nominal
 Wrote summary.csv file
 153 Distribution plots generated
Boxplots generated
 1 phenotypes processed for PCA