correlation {rexposome} | R Documentation

## Creation of an ExposomeCorr from an ExposomeSet.

### Description

Method to calculate the correlation between the exposures of an ExposomeSet. The correlation method takes into account the nature of each pair of exposures: continuous vs. continuous uses cor function from R base, categorical vs. categorical uses cramerV function from lsr R package and categorical vs. continuous exposures correlation is calculated as the square root of the adjusted r-square obtained from fitting a lineal model with the categorical exposures as dependent variable and the continuous exposure as independent variable. The function creates and returns an ExposomeCorr object.

### Usage

    correlation(object, ..., warnings = TRUE)

### Arguments

`object` | `ExposomeSet` which exposures will be used to calculate their correlation
`...` | Other arguments passed to cor, cramersV or to lm.
`warnings` | (default `TRUE`) If set to `FALSE` warnings will not be displayed.

### Value

`ExposomeCorr` with the correlation between the selected exposures and their description

### See Also

plotCorrelation to plot the correlations of an ExposomeCorr, clustering to see how the exposures can cluster samples, pca to compute PCA on exposures

### Examples

    data("exposome")
    expo.c <- correlation(expo)
    expo.c
    expo.c.table <- extract(expo.c)

[Package rexposome version 1.16.0 Index]