Visualise correlations amongst variables in your data as a heatmap
vis_cor(data, cor_method = "pearson", na_action = "pairwise.complete.obs", ...)
data | data.frame |
---|---|
cor_method | correlation method to use, from |
na_action | The method for computing covariances when there are missing
values present. This can be "everything", "all.obs", "complete.obs",
"na.or.complete", or "pairwise.complete.obs" (default). This option is
taken from the |
... | extra arguments you may want to pass to |
ggplot2 object
vis_cor(airquality)# NOT RUN { vis_cor(mtcars) vis_cor(iris) # }