processing_history: Return history of applied functions and argument from pmp...

In pmp: Peak Matrix Processing and signal batch correction for metabolomics datasets

Description

Return history of applied functions and argument from pmp package.

Usage

processing_history(df)

Arguments

df	A matrix-like (e.g. an ordinary matrix, a data frame) or RangedSummarizedExperiment-class object with all values of class numeric() or integer() of peak intensities, areas or other quantitative characteristic.

Value

List of function names and argument values.

Examples

df <- MTBLS79[ ,MTBLS79$Batch == 1]
df$Class[1:2] <- "Blank"
out <- filter_peaks_by_blank(df=df, fold_change=1.2, 
   classes=df$Class, blank_label="Blank", qc_label=NULL, 
   remove_samples=FALSE, remove_peaks=TRUE, fraction_in_blank=0)
processing_history(out)

pmp documentation built on April 1, 2021, 6:01 p.m.