FSelector (version 0.21)

correlation: 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

Value

a data.frame containing the worth of attributes in the first column and their names as row names

Details

linear.correlation uses Pearson's correlation

rank.correlation uses Spearman's correlation

Rows with NA values are not taken into consideration.

Examples

# NOT RUN {
  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)
# }