Wrapper to run fisher's test on presence/absence of a feature.

Share:

Description

This function returns a data frame of p-values, odds ratios, lower and upper confidence limits for every row of a matrix.

Usage

1
fitPA(obj, cl, thres = 0, adjust.method = "fdr", cores = 1, ...)

Arguments

obj

A MRexperiment object with a count matrix, or a simple count matrix.

cl

Group comparison

thres

Threshold for defining presence/absence.

adjust.method

Method to adjust p-values by. Default is "FDR". Options include "holm", "hochberg", "hommel", "bonferroni", "BH", "BY", "fdr", "none". See p.adjust for more details.

cores

Number of cores to use.

...

Extra parameters for makeCluster

Value

Matrix of odds ratios, p-values, lower and upper confidence intervals

See Also

cumNorm fitZig fitDO fitMeta

Examples

1
2
3
4
5
6
data(lungData)
k = grep("Extraction.Control",pData(lungData)$SampleType)
lungTrim = lungData[,-k]
lungTrim = lungTrim[-which(rowSums(MRcounts(lungTrim)>0)<20),]
res = fitPA(lungTrim,pData(lungTrim)$SmokingStatus);
head(res)

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.