filterSignificant: filters significant values and returns them as list of...

In quantable: Streamline Descriptive Analysis of Quantitative Data Matrices

Description

filters significant values and returns them as list of data.frames

Usage

filterSignificant(foldchange, pvals, labels = NULL, pthresh = 0.05,
  foldchangethresh = 1, biasAdjust = FALSE)

Arguments

foldchange	log2 fold changes
pvals	p values
labels	e.g. protein ID's
pthresh	pvalue threshold
foldchangethresh	fold change threshold
biasAdjust	adjustment for p-values

Examples

library(quantable)
foldchange <- rnorm(1000)
pvals <-rexp(1000)
filterSignificant(foldchange, pvals,
 rep("blabla",length(pvals)), pthresh=0.1, foldchangethresh=1)
filterSignificant(foldchange[foldchange>0], pvals[foldchange>0],
 rep("blabla",length(pvals[foldchange>0])), pthresh=0.1, foldchangethresh=1)
filterSignificant(foldchange[foldchange<0], pvals[foldchange<0],
 rep("blabla",length(pvals[foldchange<0])), pthresh=0.1, foldchangethresh=1)
tt <- filterSignificant(foldchange, pvals,
 rep("blabla",length(pvals)), pthresh=0.1, foldchangethresh=10)

quantable documentation built on May 2, 2019, 4:05 p.m.