cor2pcor: Partial correlation matrix from correlation or covariance...
In pchc: Bayesian Network Learning with the PCHC and Related Algorithms
Partial correlation matrix from correlation or covariance matrix R Documentation
Partial correlation matrix from correlation or covariance matrix
Description
Partial correlation matrix from correlation or covariance matrix.
Usage
cor2pcor(R)
Arguments
R
A correlation or covariance matrix.
Details
Given a correlation or covariance matrix the function will caclulate the pairwise partial correlation conditional on all other variables.
Value
A matrix where each entry is the partial correlation matrix between each pair of variables conditional on all other variables.
Author(s)
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.
See Also
pcor, cortest, correls
Examples
x <- as.matrix(iris[, 1:4])
R <- cor(x)
cor2pcor(R)
pcor(R, 1, 2, 3:4, n = 150)
pchc documentation built on April 4, 2025, 1:11 a.m.
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| Partial correlation matrix from correlation or covariance matrix | R Documentation |
Partial correlation matrix from correlation or covariance matrix
Description
Partial correlation matrix from correlation or covariance matrix.
Usage
cor2pcor(R)
Arguments
R |
A correlation or covariance matrix. |
Details
Given a correlation or covariance matrix the function will caclulate the pairwise partial correlation conditional on all other variables.
Value
A matrix where each entry is the partial correlation matrix between each pair of variables conditional on all other variables.
Author(s)
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.
See Also
pcor, cortest, correls
Examples
x <- as.matrix(iris[, 1:4])
R <- cor(x)
cor2pcor(R)
pcor(R, 1, 2, 3:4, n = 150)
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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