# partial.cor

From Rcmdr v2.0-3
by John Fox

##### Partial Correlations

Computes a matrix of partial correlations between each pair of variables controlling for the others.

- Keywords
- misc

##### Usage

`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.

##### See Also

##### Examples

```
data(DavisThin, package="car")
partial.cor(DavisThin)
partial.cor(DavisThin, tests=TRUE)
```

*Documentation reproduced from package Rcmdr, version 2.0-3, License: GPL (>= 2)*

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