Create Correlation Matrix — correlation

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

Author

D. Schmitz

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