Calculates Kendall's tau A for every factor variable pair in a dataset.
Usage
pair_tauA(d, handle.na = TRUE, ...)
Arguments
- d
A dataframe
- handle.na
ignored. Pairwise complete observations are used automatically.
- ...
other arguments
Value
A tibble of class pairwise with factor pairs, or NULL if there are not at least two factor variables
Details
Calculated using KendallTauA. Assumes factor levels are in the given order.
NAs are automatically handled by pairwise omit.
Examples
d <- data.frame(x=rnorm(20),
y=factor(sample(3,20, replace=TRUE)),
z=factor(sample(2,20, replace=TRUE)))
pair_tauA(d)
#> # A tibble: 1 × 6
#> x y score group value pair_type
#> <chr> <chr> <chr> <chr> <dbl> <chr>
#> 1 y z tauA all 0.126 ff