Contingency Table

Creating a contingency table based on a response(s) ~ predictor(s) formula.

Usage

cont_table(x, formula, useNA = "no")

Arguments

x

A data frame

formula

a response(s) ~ predictor(s) formula. If multiple variables are used as the response or predictor, concat is used to create a new variable by concatenating the values of all variables used.

useNA

This is passed to table() and can take these values: c("no", "ifany", "always"). The default value is "no".

Value

a contingency table based on the formula: Rows representing response(s) and columns representing predictor(s).

See also

concat()

Examples

cont_table(data.frame(A=c('a', 'b', 'a', 'b'), B=c('x', 'y', 'y', 'x')), A~B)
#>    B
#> A   x y
#>   a 1 1
#>   b 1 1
cont_table(data.frame(A=c('a', 'b', 'a', 'b', 'a', 'b'),
   B=c('x', 'y', 'y', 'x', 'y', 'x'), C=c('f', 'g')), A~B+C)
#>    B+C
#> A   x-f x-g y-f y-g
#>   a   1   0   2   0
#>   b   0   2   0   1