DDPNA (version 0.4.1)

multi.t.test: multi.t.test

Description

multiple comparisons t test and choose significant proteins in proteomic data.

Usage

multi.t.test(data, group,
             sig = 0.05, Adj.sig = TRUE,
             grpAdj = "bonferroni",
             geneAdj = "fdr", ...)

Arguments

data

protein quantification data. column is sample. row is protein ID.

group

sample group information

sig

siginificant P value threshold. The default is 0.05.

Adj.sig

a logical value indicated that whether adjust P-values for multiple proteins comparisons in each two groups.

grpAdj

adjust multiple groups comparisions P-value in each two groups. The default is "bonferroni". it can seen in p.adjust.methods.

geneAdj

adjust multiple proteins comparisions P-value in each group. The default is "fdr". it can seen in p.adjust.methods.

...

Other arguments.

Author

Kefu Liu

Examples

data(imputedData)
data <- imputedData
logD <- data$log2_value
rownames(logD) <- data$inf$ori.ID
group <- gsub("[0-9]+", "", colnames(logD))
Tsig_P <- multi.t.test(logD[1:100,], group, Adj.sig = FALSE, geneAdj = "fdr")