rmcfs (version 1.1.1)

filter.data: Filters input data

Description

Selects columns from input data based on the highest RIs of attributes.

Usage

filter.data(data, mcfs_result, size = NA)

Arguments

data

input data.frame.

mcfs_result

result from mcfs function.

size

number of top features to select from input data. If size = NA, then it is defined by mcfs_result$cutoff_value parameter.

Value

Examples

  ### Set up java parameter and load rmcfs package
  options(java.parameters = "-Xmx4g")
  library(rmcfs)
  
  # create input data
  adata <- artificial.data(rnd.features = 10)
  showme(adata)
  
  # Parametrize and run MCFS-ID procedure
  result <- mcfs(class~., adata, projections = 100, projectionSize = 4, 
                 cutoffPermutations = 3, finalCV = FALSE, finalRuleset = FALSE, 
                 threadsNumber = 2)
  
  filter.data(adata, result, size = result$cutoff_value)