Correlations and Scatter Plots

This vignette covers jjcorrmat() for creating correlation matrices and jjscatterstats() for scatter plots.

Correlation matrices with jjcorrmat()

jjcorrmat() visualises pairwise correlations between numeric variables and reports the associated tests. Here we look at the relationships between mpg, hp and wt in the mtcars data.

jjcorrmat(data = mtcars, dep = c(mpg, hp, wt), grvar = NULL)
#> 
#>  CORRELATION MATRIX
#> 
#>  You have selected to use a correlation matrix to compare continuous
#>  variables.

Scatter plots with jjscatterstats()

jjscatterstats() produces a scatter plot with a regression line and textual output describing the correlation and regression statistics.

jjscatterstats(data = mtcars, dep = mpg, group = hp, grvar = NULL)
#> 
#>  SCATTER PLOT
#> 
#>  You have selected to use a scatter plot.