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

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

Return history of applied functions and argument from pmp package.

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)

computational-metabolomics/pmp documentation built on March 9, 2024, 4:25 p.m.