OPTION:FORMAT:data format: ' csv '
OPTION:MISSING:treat LOD/out of quant. data as missing: ' n '
OPTION:OUTLIER:drop outliers : ' n '
OPTION:REFERENCE:drop reference samples : ' n '
OPTION:DEL_METABS:drop metabolites with cv > 0.25 : ' n '
OPTION:RATIOS:calculate metabolite ratios : ' n '
AUX:Barplots of each metabolite class have equal y axis: TRUE 
Fileformat CSV - deleted lines - win-lin
Read CSV dataset with 22 columns and 6 rows
Data format:  csv 
EXTRACT: 6  samples and  21  metabolites extracted
PHENOTYPES_UPLOAD:Found  6  matched lines with  3  phenotypes specified<br>
REPLICATES:Found  REPLICATES  as a phenotype for data quality checks
PHENOTYPES_UPLOAD:Ignored  cell.line  column as it contains the same phenotype for all samples<br>
PHENOTYPES_UPLOAD:Found  treatment as non-data quality phenotypes<br>
BATCHES:No batches
Wrote machted dataset to data_all_beforeCheck.csv
DEL_METAB:Found  1 metabolites with cv above  0.25 
No extreme outliers identified
Wrote extreme outliers into  upperOutliers.csv 
 6  samples and  21  metabolites in checked data set
Wrote machted dataset to data_all.csv
Phenotype  treatment  is nominal
Phenotype  treatment  added to numeric phenotypes also
 Wrote summary.csv file
 21 Distribution plots generated
Boxplots generated
 1 phenotypes processed for PCA
Wrote kendall correlation table with 21 rows and 2 columns in  kendall.csv 
Correlation plot generated
Wrote kendall correlation table with 21 rows and 2 columns in  kendall.csv