analyzeNormalizations: Calculate measures for normalization results
In ComputationalProteomics/NormalyzerDE: Evaluation of normalization methods and calculation of differential expression analysis statistics
View source: R/analyzeResults.R
analyzeNormalizations 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)
ComputationalProteomics/NormalyzerDE documentation built on Oct. 18, 2024, 9:57 p.m.
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View source: R/analyzeResults.R
| analyzeNormalizations | 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)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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