Calculate pariwise association of data with mixed types of variables

Usage

pairwise_cor(df, var_type)

Arguments

df: dataframe with mixed types of variables
var_type: a charater vector corresponding to types of variables in df

Value

matrices with measures, types and p values of association

Details

The following associated measures and tests are implemented dependent on variable type:

factor vs numeric, factor or ordinal: Pseudo R^2 and p value from multinomial regression

ordinal vs ordinal or numeric: GK gamma and GK gamma correlation test

numeric vs numeric: Spearman correlation and p value

Examples

data1 <- data.frame(x = rnorm(10),
 y = rbinom(10, 1, 0.5),
z = rbinom(10, 5, 0.5))
type1 <- c("numeric", "factor", "ordinal")
pairwise_cor(data1, type1)
#> Error in pairwise_cor(data1, type1): could not find function "pairwise_cor"