glm_anova

A data frame that has column names for distinguishing experiments and numerical values for expression levels

dataset.expr

A vector of the obtained expression profile's ID column

dataset.ID

A data frame that consists of 'Col_Name' and 'Group' obtained from the user file through get_statistics_from_file.

group

Choose one of these c("holm", "hochberg", "hommel", "bonferroni", "BH", "BY", "fdr", "none").
"fdr" is default option.

padj


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


Functions using Cohen's effect sizes (Cohen, Jacob. Statistical power analysis for the behavioral sciences. Academic press, 2013) are provided for reliable feature selection in biology data analysis.  In addition to Cohen's effect sizes, p-values are calculated and adjusted from quasi-Poisson GLM, negative binomial GLM and Normal distribution ANOVA.  Significant features (genes, RNAs or proteins) are selected by adjusted p-value and minimum Cohen's effect sizes, calculated to keep certain level of statistical power of biology data analysis given p-value threshold and sample size.

glm_anova: glm_anova

Description

Usage

Arguments

Value