Metacell_generic: Sets the metacell dataframe for dataset without information...

In prostarproteomics/DAPAR: Tools for the Differential Analysis of Proteins Abundance with R

Sets the metacell dataframe for dataset without information about the origin of identification

Description

In the quantitative columns, a missing value is identified by no value rather than a value equal to 0. Conversion rules QuantiTag NA or 0 NA The only information detected with this function are about missing values ( MEC and POV).

Usage

Metacell_generic(qdata, conds, level)

Arguments

qdata	An object of class MSnSet
conds	xxx
level	xxx

Value

xxxxx

Author(s)

Samuel Wieczorek

Examples

file <- system.file("extdata", "Exp1_R25_pept.txt", package = "DAPARdata")
data <- read.table(file, header = TRUE, sep = "\t", stringsAsFactors = FALSE)
metadataFile <- system.file("extdata", "samples_Exp1_R25.txt",
    package = "DAPARdata"
)
metadata <- read.table(metadataFile,
    header = TRUE, sep = "\t", as.is = TRUE,
    stringsAsFactors = FALSE
)
conds <- metadata$Condition
qdata <- data[seq_len(100), seq.int(from = 56, to = 61)]
df <- data[seq_len(100), seq.int(from = 43, to = 48)]
df <- Metacell_generic(qdata, conds, level = "peptide")

prostarproteomics/DAPAR documentation built on June 14, 2025, 4:40 a.m.