correlation {FSelector} | R Documentation |
Correlation filter
Description
The algorithm finds weights of continous attributes basing on their correlation with continous class attribute.
Usage
linear.correlation(formula, data)
rank.correlation(formula, data)
Arguments
formula |
a symbolic description of a model |
data |
data to process |
Details
linear.correlation
uses Pearson's correlation
rank.correlation
uses Spearman's correlation
Rows with NA
values are not taken into consideration.
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(BostonHousing)
d=BostonHousing[-4] # only numeric variables
weights <- linear.correlation(medv~., d)
print(weights)
subset <- cutoff.k(weights, 3)
f <- as.simple.formula(subset, "medv")
print(f)
weights <- rank.correlation(medv~., d)
print(weights)
subset <- cutoff.k(weights, 3)
f <- as.simple.formula(subset, "medv")
print(f)
[Package FSelector version 0.34 Index]