chi.squared {FSelector} | R Documentation |
The algorithm finds weights of discrete attributes basing on a chi-squared test.
chi.squared(formula, data)
formula |
a symbolic description of a model |
data |
a symbolic description of a model |
The result is equal to Cramer's V coefficient between source attributes and destination attribute.
a data.frame containing the worth of attributes in the first column and their names as row names
Piotr Romanski
library(mlbench) data(HouseVotes84) weights <- chi.squared(Class~., HouseVotes84) print(weights) subset <- cutoff.k(weights, 5) f <- as.simple.formula(subset, "Class") print(f)