summarise_QValues: Compute QValue summaries for each precursor or peptide or...
In wolski/prolfqua: Proteomics Label Free Quantification

View source: R/tidyMS_R6_TransitionCorrelations.R

summarise_QValues

R Documentation

Compute QValue summaries for each precursor or peptide or protein

Description

adds two columns srm_QValueMin - nth smallest qvalue for each precursor srm_QValueNR - nr of precursors passing the threshold

Usage

summarise_QValues(pdata, config)

Arguments

`pdata`	data.frame
`config`	configuration
`data`	data

Value

data.frame

Examples

dd <- prolfqua_data('data_spectronautDIA250_A')
config <- dd$config_f()
analysis <- dd$analysis(dd$data,config)
res <- summarise_QValues(analysis, config)
stopifnot(c("srm_QValueMin", "srm_QValueNR") %in% colnames(res))
hist(unique(res$srm_QValueMin))
hist(unique(res$srm_QValueNR))

wolski/prolfqua documentation built on May 12, 2024, 10:16 p.m.