analyzeNormalizations: Calculate measures for normalization results
In NormalyzerDE: Evaluation of normalization methods and calculation of differential expression analysis statistics
Description
Usage
Arguments
Value
Examples
View source: R/analyzeResults.R
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
1
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
1
2
3
4
data(example_summarized_experiment)
normObj <- getVerifiedNormalyzerObject("job_name", example_summarized_experiment)
normResults <- normMethods(normObj)
normResultsWithEval <- analyzeNormalizations(normResults)
NormalyzerDE documentation built on Nov. 8, 2020, 8:22 p.m.
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Description Usage Arguments Value Examples
View source: R/analyzeResults.R
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
1 | 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
1 2 3 4 | 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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