glm_anova: glm_anova

In selfea: Select Features Reliably with Cohen's Effect Sizes

Description

Calculate P-values from ANOVA using Normal, Quasi-Poisson and Negative Binomial distribution and Cohen's effect sizes

Usage

glm_anova(dataset.expr, dataset.ID, group, padj = "fdr")

Arguments

dataset.expr	A data frame that has column names for distinguishing experiments and numerical values for expression levels
dataset.ID	A vector of the obtained expression profile's ID column
group	A data frame that consists of 'Col_Name' and 'Group' obtained from the user file through get_statistics_from_file.
padj	Choose one of these c("holm", "hochberg", "hommel", "bonferroni", "BH", "BY", "fdr", "none"). "fdr" is default option.

Value

A data frame containing ID, Cohen's W, Cohen's F, Max fold change, GLM Negative Binomial P-value, GLM Quasi-Poisson P-value and ANOVA with Normal P-value.

selfea documentation built on May 2, 2019, 5:08 a.m.