data-vis-cor | R Documentation |
Return data used to create vis_cor plot
Create a tidy dataframe of correlations suitable for plotting
data_vis_cor(x, ...) ## Default S3 method: data_vis_cor(x, ...) ## S3 method for class 'data.frame' data_vis_cor( x, cor_method = "pearson", na_action = "pairwise.complete.obs", ... ) ## S3 method for class 'grouped_df' data_vis_cor(x, ...)
x |
data.frame |
... |
extra arguments (currently unused) |
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 |
data frame
tidy dataframe of correlations
data_vis_cor(airquality) ## Not run: #return vis_dat data for each group library(dplyr) airquality %>% group_by(Month) %>% data_vis_cor() ## End(Not run) data_vis_cor(airquality)
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