correlation_matrix.Rd
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" )
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. |
Nothing. Creates a plot.
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
D. Schmitz
data("data_s") correlation_matrix(data_s, variables = c("typeOfS", "sDur"))