rowWelchP {RnBeads} | R Documentation

## rowWelchP

### Description

performs a two-sided Welch's t-test (unequal variances, unequal sample sizes) on each row of a matrix X with the indices inds.1 vs indices inds.g2 as group assignments.

### Usage

    rowWelchP(X, inds.g1, inds.g2 = -inds.g1, na.rm = FALSE,
      alternative = "two.sided")

### Arguments

`X` | Matrix on which the test is performed for every row
`inds.g1` | column indices of group 1 members
`inds.g2` | column indices of group 2 members
`na.rm` | Should NAs be removed (logical)
`alternative` | Testing alternative. Must be one of "two.sided" (default),"less","greater" or "all". in case of "all" a data frome with corresping alternative variables is returned. Otherwise the result is a vector.

### Value

vector (or data.frame if alternative=="all") of p-values resulting from the Welch's t-test

### Note

Requires `matrixStats` package

### Author(s)

Fabian Mueller

### Examples

    library(RnBeads.hg19)
    data(small.example.object)
    logger.start(fname=NA)
    meth.mat <- meth(rnb.set.example)
    sample.groups <- rnb.sample.groups(rnb.set.example)[[1]]
    p.vals <- rowWelchP(meth.mat,sample.groups[[1]],sample.groups[[2]])

[Package RnBeads version 2.0.1 Index]