specmine (version 3.1.6)

aov_all_vars: Analysis of variance

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

# NOT RUN {
  ## 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)
# }