Calculate measures for normalization results

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)
#> Input data checked. All fields are valid.
#> Sample check: More than one sample group found
#> Sample replication check: All samples have replicates
#> RT annotation column found (5)
normResults <- normMethods(normObj)
normResultsWithEval <- analyzeNormalizations(normResults)