correlation: Correlation filter
In Najah-lshanableh/R-data-mining: Selecting Attributes

Description Usage Arguments Details Value Author(s) Examples

The algorithm finds weights of continous attributes basing on their correlation with continous class attribute.

1 2	linear.correlation(formula, data) rank.correlation(formula, data)

`formula`	a symbolic description of a model
`data`	data to process

linear.correlation uses Pearson's correlation

rank.correlation uses Spearman's correlation

Rows with NA values are not taken into consideration.

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

Piotr Romanski

  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)