calP: UnivariateTest

In jaspershen/MetFlow: Comprehensitive tools for metabolomics data processing and data analysis.

Description

Calculate p value and AUC for each feature.

Usage

calP(object, control.group, case.group, test.method = c("t", "wilcox"),
  adjust.method = c("holm", "hochberg", "hommel", "bonferroni", "BH",
  "BY", "fdr", "none"), log.scale = FALSE, ...)

Arguments

test.method	Which test you want to use? "t" means stutent t test and "wilcox" mean wilcoxon test.
adjust.method	p value correction method. See p.adjust function.
log.scale	Data transformation method, defaulst is FALSE.
MetFlowData	MetFlowData.
class	Class used to do test.

Value

MetFlowData which has been added p and AUC information in tags.

Author(s)

Xiaotao Shen [e-mail]

See Also

The details of univariate test can be found in t.test, p.adjust and wilcox.test.

jaspershen/MetFlow documentation built on Aug. 1, 2019, 4:36 p.m.