MKmisc (version 1.6)

pairwise.mod.t.test: Pairwise Moderated t-Tests

Description

Performs pairwise moderated t-tests based on Bioconductor package limma.

Usage

pairwise.mod.t.test(x, group, adjust.method = "BH", sort.by = "none")

Arguments

x

a (non-empty) numeric matrix of data values.

group

an optional factor representing the groups.

adjust.method

see p.adjust

sort.by

see toptable

Value

A data.frame with the results.

Details

The function uses Bioconductor package limma to compute pairwise moderated t-tests. For more details we refer to ebayes.

References

B. Phipson, S. Lee, I.J. Majewski, W.S. Alexander, G.H. Smyth (2016). Robust hyperparameter estimation protects against hypervariable genes and improves power to detect differential expression. Annals of Applied Statistics 10(2), 946-963.

See Also

oneway.test, mod.t.test

Examples

# NOT RUN {
set.seed(123)
X <- rbind(matrix(rnorm(5*20), nrow = 5, ncol = 20),
           matrix(rnorm(5*20, mean = 1), nrow = 5, ncol = 20))
gr <- factor(c(rep("A1", 5), rep("B2", 5), rep("C3", 5), rep("D4", 5)))
mod.oneway.test(X, gr)
pairwise.mod.t.test(X, gr)
# }