setupTestData: Generate a random test dataset with features, sample values...

In ComputationalProteomics/NormalyzerDE: Evaluation of normalization methods and calculation of differential expression analysis statistics

Generate a random test dataset with features, sample values and retention times

Description

Generate a random test dataset with features, sample values and retention times

Usage

setupTestData(nSamples, nFeatures, rtMin = 40, rtMax = 80, mean = 20, sd = 4)

Arguments

nSamples	Number of samples
nFeatures	Number of features
rtMin	Minimum retention time
rtMax	Maximum retention time
mean	Mean value for sample intensities
sd	Standard deviation for sample intensities

Value

Test dataset

Examples

df <- setupTestData(6, 20)
df <- setupTestData(6, 20, mean=15, sd=1)

ComputationalProteomics/NormalyzerDE documentation built on May 20, 2024, 3:05 p.m.