R: Marginal and partial correlations

correlations {ggm} | R Documentation

## Marginal and partial correlations

### Description

Computes a correlation matrix with ones along the diagonal, marginal correlations in the lower triangle and partial correlations given all remaining variables in the upper triangle.

### Usage

    correlations(x)

### Arguments

`x` | a square symmetric matrix, a covariance matrix, or a data.frame for n observations and p variables.

### Value

a square correlation matrix with marginal correlations (lower triangle) and partial correlations (upper triangle).

### Author(s)

Giovanni M. Marchetti

### References

Cox, D. R. \& Wermuth, N. (1996). Multivariate dependencies. London: Chapman \& Hall.

### See Also

`parcor`, `cor`

### Examples

    ## See Table 6.1 in Cox & Wermuth (1996)
    data(glucose)
    correlations(glucose)

[Package ggm version 2.3 Index]