ttest: t-test

In structToolbox: Data processing & analysis tools for Metabolomics and other omics

Description

A t-test compares the means of two factor levels. Multiple-test corrected p-values are used to indicate the significance of the computed difference for all features.

Usage

ttest(
  alpha = 0.05,
  mtc = "fdr",
  factor_names,
  paired = FALSE,
  paired_factor = character(0),
  ...
)

Arguments

alpha	(numeric) The p-value cutoff for determining significance. The default is 0.05.
mtc	(character) Multiple test correction method. Allowed values are limited to the following: "bonferroni": Bonferroni correction in which the p-values are multiplied by the number of comparisons. "fdr": Benjamini and Hochberg False Discovery Rate correction. "none": No correction. The default is "fdr".
factor_names	(character) The name of sample meta column(s) to use.
paired	(logical) Apply a paired t-test. The default is FALSE.
paired_factor	(character) The factor name that encodes the sample id for pairing. The default is character(0).
...	Additional slots and values passed to struct_class.

Value

A ttest object.

Examples

M = ttest(factor_name='class')

structToolbox documentation built on Nov. 8, 2020, 6:54 p.m.