calculateCorrSum: Calculates internal correlations for each condition having at...
In NormalyzerDE: Evaluation of normalization methods and calculation of differential expression analysis statistics
Description
Usage
Arguments
Value
View source: R/analyzeResults.R
Description
Calculates internal correlations for each condition having at least two
samples and returns a vector with correlation values corresponding to each
condition
Usage
1
2
calculateCorrSum(methodData, allReplicateGroups,
sampleGroupsWithReplicates, corrType)
Arguments
methodData
Expression data matrix
allReplicateGroups
Full condition header corresponding to data tables
columns
sampleGroupsWithReplicates
Unique conditions where number of
replicates exceeds one
corrType
Type of correlation (Pearson or Spearman)
Value
corSums
NormalyzerDE documentation built on Nov. 8, 2020, 8:22 p.m.
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Description Usage Arguments Value
View source: R/analyzeResults.R
Description
Calculates internal correlations for each condition having at least two samples and returns a vector with correlation values corresponding to each condition
Usage
1 2 | calculateCorrSum(methodData, allReplicateGroups,
sampleGroupsWithReplicates, corrType)
|
Arguments
methodData |
Expression data matrix |
allReplicateGroups |
Full condition header corresponding to data tables columns |
sampleGroupsWithReplicates |
Unique conditions where number of replicates exceeds one |
corrType |
Type of correlation (Pearson or Spearman) |
Value
corSums
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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