View source: R/analyzeResults.R

analyzeNormalizations | R Documentation |

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.

analyzeNormalizations(nr, categoricalAnova = FALSE)

`nr` |
Normalyzer results object with calculated results. |

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

Normalyzer results with attached evaluation results object.

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

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