chi.squared {FSelector} | R Documentation |
Chi-squared filter
Description
The algorithm finds weights of discrete attributes basing on a chi-squared test.
Usage
chi.squared(formula, data)
Arguments
formula |
a symbolic description of a model |
data |
a symbolic description of a model |
Details
The result is equal to Cramer's V coefficient between source attributes and destination attribute.
Value
a data.frame containing the worth of attributes in the first column and their names as row names
Author(s)
Piotr Romanski
Examples
library(mlbench)
data(HouseVotes84)
weights <- chi.squared(Class~., HouseVotes84)
print(weights)
subset <- cutoff.k(weights, 5)
f <- as.simple.formula(subset, "Class")
print(f)
[Package FSelector version 0.34 Index]