Pearson's Contingency Coefficient for association between factors.

Calculates Pearson's Contingency coefficient for every factor variable pair in a dataset.

Usage

pair_chi(d, handle.na = TRUE, warnings = TRUE, ...)

Arguments

d

A dataframe

handle.na

ignored. Pairwise complete observations are used automatically.

warnings

If TRUE, generates a warning for datasets of one row, one column, or with constant variables.

...

other arguments

Value

A tibble of class pairwise with calculated Pearson's contingency coefficient for every factor variable pair, or NULL if there are not at least two factor variables

Details

The Pearson's contingency coefficient is calculated using ContCoef. NAs are automatically handled by pairwise omit.

Examples

 pair_chi(iris)
#> Registered S3 methods overwritten by 'proxy':
#>   method               from    
#>   print.registry_field registry
#>   print.registry_entry registry
#> Warning: Data has just one column.