Computes Chi-squared-based measure between features and target vector.

calc_cs(feature, target, len_target, pos_target)

Arguments

feature

feature vector.

target

target.

len_target

length of the target vector.

pos_target

number of positive cases in the target vector.

Value

A numeric vector of length 1 representing computed Chi-square values.

Note

Both target and features must be binary, i.e. contain only 0 and 1 values.

The function was designed to be as fast as possible subroutine of calc_criterion and might be cumbersome if directly called by a user.

See also

test_features.

chisq.test - Pearson's chi-squared test for count data.

Examples

tar <- sample(0L:1, 100, replace = TRUE) feat <- sample(0L:1, 100, replace = TRUE) calc_cs(feat, tar, 100, sum(tar))
#> [1] 0.6234368