rowTtest-methods: Student's t-test for rows

In chrischen1/viper_copy: Virtual Inference of Protein-activity by Enriched Regulon analysis

Description

This function performs a Student's t-test on each row of a matrix

Usage

rowTtest(x, ...)

## S4 method for signature 'matrix'
rowTtest(x, y = NULL, mu = 0,
  alternative = "two.sided")

## S4 method for signature 'ExpressionSet'
rowTtest(x, pheno, group1, group2 = NULL, mu = 0,
  alternative = "two.sided")

Arguments

x	ExpressionSet object or Numerical matrix containing the test samples
...	Additional parameters added to keep compatibility
y	Optional numerical matrix containing the reference samples. If ommited x will be tested against mean = mu
mu	Number indicating the alternative hypothesis when y is ommited
alternative	Character string indicating the tail for the test, either two.sided, greater or lower
pheno	Character string indicating the phenotype data to use
group1	Vector of character strings indicating the category from phenotype pheno to use as test group
group2	Vector of character strings indicating the category from phenotype pheno to use as control group

Value

List of Student-t-statistic (statistic) and p-values (p.value)

Examples

data(bcellViper, package="bcellViper")
d1 <- exprs(dset)
res <- rowTtest(d1[, 1:10], d1[, 11:20])
res$statistic[1:5, ]
res$p.value[1:5, ]
data(bcellViper, package="bcellViper")
res <- rowTtest(dset, "description", "CB", "N")
res$statistic[1:5, ]
res$p.value[1:5, ]

chrischen1/viper_copy documentation built on May 13, 2019, 6:52 p.m.