partial.cor: Partial Correlations
In Rcmdr205: R Commander
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
Description
Computes a matrix of partial correlations between each pair of variables
controlling for the others.
Usage
1
partial.cor(X, tests=FALSE, use=c("complete.obs", "pairwise.complete.obs"))
Arguments
X
data matrix.
tests
show two-sided p-value and p-value adjusted for multiple testing by Holm's method for each partial correlation?
use
observations to use to compute partial correlations, default is "complete.obs".
Value
Returns the matrix of partial correlations, optionally with adjusted and unadjusted p-values.
Author(s)
John Fox jfox@mcmaster.ca
See Also
Examples
1
2
3
data(DavisThin, package="car")
partial.cor(DavisThin)
partial.cor(DavisThin, tests=TRUE)
Rcmdr205 documentation built on May 2, 2019, 5:52 p.m.
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Description Usage Arguments Value Author(s) See Also Examples
Description
Computes a matrix of partial correlations between each pair of variables controlling for the others.
Usage
1 | partial.cor(X, tests=FALSE, use=c("complete.obs", "pairwise.complete.obs"))
|
Arguments
X |
data matrix. |
tests |
show two-sided p-value and p-value adjusted for multiple testing by Holm's method for each partial correlation? |
use |
observations to use to compute partial correlations, default is |
Value
Returns the matrix of partial correlations, optionally with adjusted and unadjusted p-values.
Author(s)
John Fox jfox@mcmaster.ca
See Also
Examples
1 2 3 | data(DavisThin, package="car")
partial.cor(DavisThin)
partial.cor(DavisThin, tests=TRUE)
|
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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