analyzeNormalizations {NormalyzerDE} | R 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)

[Package NormalyzerDE version 1.8.0 Index]