This is a wrapper for `languageR::pairscor.fnc`

. A matrix of scatter plots is produced with
Pearson and Spearman correlations in the lower triangle. Fall back to the original function to specify additional arguments.

```
correlation_matrix(
data,
variables,
hist = TRUE,
smooth = TRUE,
size = 1,
color = "darkgrey"
)
```

## Arguments

- data
The data set containing the variables to be plotted.

- variables
The variables used in the plot. Note: Variables cannot be of type 'character'.

- hist
A logical indicating whether panels on the diagonal should contain a histogram.

- smooth
A logical indicating whether panels in the upper triangle should have a smoother added.

- size
A number indicating the size of the points in the panels in the upper triangle, available only when smoothers are added.

- color
A number or string indicating the color of the points in the panels in the upper triangle, available only when smoothers are added.

## Value

Nothing. Creates a plot.

## References

Baayen, R. H, & Shafaei-Bajestan, E. (2019). languageR: Analyzing Linguistic Data: A Practical Introduction to Statistics. R package version 1.5.0. https://CRAN.R-project.org/package=languageR

## Examples

```
data("data_s")
correlation_matrix(data_s, variables = c("typeOfS", "sDur"))
#> Warning: argument 1 does not name a graphical parameter
#> Warning: argument 1 does not name a graphical parameter
#> Warning: argument 1 does not name a graphical parameter
```