matCorSig: Calculate correlation matrix p-values.
In DGCA: Differential Gene Correlation Analysis
matCorSig R Documentation
Calculate correlation matrix p-values.
Description
Calculate two-sided p-values from a pairwise correlations matrix and a corresponding "number of samples" matrix.
Usage
matCorSig(corrs, nsamp, secondMat = FALSE)
Arguments
corrs
Computed correlation matrix.
nsamp
Computed number of samples used per call in the correlation matrix.
secondMat
Logical indicator of whether there is a second matrix in the comparison or not.
Value
A matrix of p-values.
References
HMisc R package https://cran.r-project.org/web/packages/Hmisc/index.html
DGCA documentation built on March 31, 2023, 9:22 p.m.
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| matCorSig | R Documentation |
Calculate correlation matrix p-values.
Description
Calculate two-sided p-values from a pairwise correlations matrix and a corresponding "number of samples" matrix.
Usage
matCorSig(corrs, nsamp, secondMat = FALSE)
Arguments
corrs |
Computed correlation matrix. |
nsamp |
Computed number of samples used per call in the correlation matrix. |
secondMat |
Logical indicator of whether there is a second matrix in the comparison or not. |
Value
A matrix of p-values.
References
HMisc R package https://cran.r-project.org/web/packages/Hmisc/index.html
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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