NormalyzerEvaluationResults | R Documentation |

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

```
NormalyzerEvaluationResults(nr)
NormalyzerEvaluationResults(nr)
```

`nr` |
NormalyzerResults object |

nds Generated NormalyzerEvaluationResults instance

`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

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

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