aov_all_vars: Analysis of variance

In specmine: Metabolomics and Spectral Data Analysis and Mining

Description

Perform analysis of variance of all variables in the dataset.

Usage

aov_all_vars(dataset, column.class, doTukey = TRUE, write.file = FALSE, 
file.out = "anova-res.csv")

Arguments

dataset	list representing the dataset from a metabolomics experiment.
column.class	string or index indicating what metadata to use.
doTukey	boolean value for do or do not TukeyHSD.
write.file	boolean value indicating if a file with the results is written or not.
file.out	name of the file if write.file is TRUE.

Value

Data frame with the results of ANOVA, with p-value, logarithm of p-value, false discovery rate (fdr) and tukey is doTukey is TRUE. The result is ordered by p-value.

Examples

  ## Example of ANOVA with TukeyHSD
  library(specmine.datasets)
  data(propolis)
  propolis_proc = missingvalues_imputation(propolis)
  propolis_proc = flat_pattern_filter(propolis_proc, "iqr", by.percent = TRUE,
	red.value = 75) 
  result = aov_all_vars(propolis_proc, "seasons", doTukey = FALSE)

specmine documentation built on Sept. 21, 2021, 5:06 p.m.