NormalyzerEvaluationResults {NormalyzerDE} | R Documentation

## Representation of evaluation results by calculating performance measures for an an NormalyzerResults instance

### Description

Contains the resulting information from the processing which subsequently can be used to generate the quality assessment report.

### Usage

    NormalyzerEvaluationResults(nr)

    NormalyzerEvaluationResults(nr)

### Arguments

`nr` | NormalyzerResults object

### Value

nds Generated NormalyzerEvaluationResults instance

### Slots

`avgcvmem`

  Average coefficient of variance per method

`avgcvmempdiff`

  Percentage difference of mean coefficient of variance compared to log2-transformed data

`featureCVPerMethod`

  CV calculated per feature and normalization method.

`avgmadmem`

  Average median absolute deviation

`avgmadmempdiff`

  Percentage difference of median absolute deviation compared to log2-transformed data

`avgvarmem`

  Average variance per method

`avgvarmempdiff`

  Percentage difference of mean variance compared to log2-transformed data

`lowVarFeaturesCVs`

  List of 5 for log2-transformed data

`lowVarFeaturesCVsPercDiff`

  Coefficient of variance for least variable entries

`anovaP`

  ANOVA calculated p-values

`repCorPear`

  Within group Pearson correlations

`repCorSpear`

  Within group Spearman correlations

### Examples

    data(example_summarized_experiment)
    normObj <- getVerifiedNormalyzerObject("job_name", example_summarized_experiment)
    normResults <- normMethods(normObj)
    normEval <- NormalyzerEvaluationResults(normResults)

[Package NormalyzerDE version 1.6.0 Index]