firstOrderPartialCorrelation: Compute first order partial correlations
In AEBilgrau/correlateR: Fast correlations and covariances
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
View source: R/firstOrderPartialCorrelation.R
Description
This function computes the first order partial correlation given the
k'th variable.
Usage
1
Arguments
S
A numeric correlation matrix
k
An integer. The index of the variable to condition on.
Value
A matrix of the same size as X with NaNs in the
k row and column.
Author(s)
Anders Ellern Bilgrau <anders.ellern.bilgrau (at) gmail.com>
See Also
Examples
1
2
3
X <- createData(4, 10)
S <- cor(X)
firstOrderPartialCorrelation(S, 2)
AEBilgrau/correlateR documentation built on Nov. 15, 2019, 9:21 a.m.
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Description Usage Arguments Value Author(s) See Also Examples
View source: R/firstOrderPartialCorrelation.R
Description
This function computes the first order partial correlation given the
k'th variable.
Usage
1 |
Arguments
S |
A numeric correlation matrix |
k |
An integer. The index of the variable to condition on. |
Value
A matrix of the same size as X with NaNs in the
k row and column.
Author(s)
Anders Ellern Bilgrau <anders.ellern.bilgrau (at) gmail.com>
See Also
Examples
1 2 3 | X <- createData(4, 10)
S <- cor(X)
firstOrderPartialCorrelation(S, 2)
|
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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