ksTest_dataset: Kolmogorov-Smirnov tests on dataset

In specmine: Metabolomics and Spectral Data Analysis and Mining

Description

Run Kolmogorov-Smirnov Tests for each row of the data from the dataset.

Usage

ksTest_dataset(dataset, metadata.var, threshold = NULL, 
write.file = FALSE, file.out = "ks.csv")

Arguments

dataset	list representing the dataset from a metabolomics experiment.
metadata.var	metadata variable to use in the t-tests.
threshold	threshold value of the p-value.
write.file	boolean value to write or not a file with the results.
file.out	name of the file.

Value

Table with the results of the Kolmogorov-Smirnov tests, with p-value, -log10(p-value) and false discovery rate (fdr).

Examples

  ## Example of ks-Tests on dataset
  library(specmine.datasets)
  data(cachexia)
  kstests.result = ksTest_dataset(cachexia, "Muscle.loss", 
		  write.file = FALSE)

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