dcorResample: Distance correlation with resampling based p-values
In BIMSBbioinfo/reg2gene: Predicting the target genes for regulatory elements
Description
private function that calculates distance correlation of given
column matrix with a vector and assigns significance to
correlation coefficents based on resampling
Usage
1
dcorResample(mat, scaleData = scaleData, col = 1, B = B)
Arguments
mat
matrix of response and predictor variables
col
column number of response variable
B
number of random samples (shuffling) of given column
BIMSBbioinfo/reg2gene documentation built on May 3, 2019, 6:42 p.m.
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Description
private function that calculates distance correlation of given column matrix with a vector and assigns significance to correlation coefficents based on resampling
Usage
1 | dcorResample(mat, scaleData = scaleData, col = 1, B = B)
|
Arguments
mat |
matrix of response and predictor variables |
col |
column number of response variable |
B |
number of random samples (shuffling) of given column |
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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