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 12 rows
Data format:  csv 
EXTRACT: 12  samples and  21  metabolites extracted
PHENOTYPES_UPLOAD:Found  12  matched lines with  3  phenotypes specified<br>
REPLICATES:Found  REPLICATES  as a phenotype for data quality checks
PHENOTYPES_UPLOAD:Found  cell.line treatment as non-data quality phenotypes<br>
BATCHES:No batches
Wrote machted dataset to data_all_beforeCheck.csv
DEL_METAB:Found  2 metabolites with cv above  0.25 
No extreme outliers identified
No extreme outliers identified
 12  samples and  21  metabolites in checked data set
Wrote machted dataset to data_all.csv
Phenotype  cell.line  is nominal
Phenotype  cell.line  added to numeric phenotypes also
Phenotype  treatment  is nominal
 Wrote summary.csv file
 21 Distribution plots generated
Boxplots generated
Boxplots generated
Boxplots and hypothesis tests depending on  cell.line 
Boxplots generated
Boxplots and hypothesis tests depending on  treatment 
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