analyzeNormalizations: Calculate measures for normalization results

View source: R/analyzeResults.R

analyzeNormalizationsR Documentation

Calculate measures for normalization results

Description

This function prepares an NormalyzerEvaluationResults object containing the evaluation measures CV (coefficient of variance), MAD (median absolute deviation), average variance, significance measures (ANOVA between condition groups) and correlation between replicates.

Usage

analyzeNormalizations(nr, categoricalAnova = FALSE)

Arguments

nr

Normalyzer results object with calculated results.

categoricalAnova

Whether categorical or numerical (ordered) ANOVA should be calculated.

Value

Normalyzer results with attached evaluation results object.

Examples

data(example_summarized_experiment)
normObj <- getVerifiedNormalyzerObject("job_name", example_summarized_experiment)
normResults <- normMethods(normObj)
normResultsWithEval <- analyzeNormalizations(normResults)

ComputationalProteomics/NormalyzerDE documentation built on Oct. 18, 2024, 9:57 p.m.