fix.data: Fixes input data values, column names and attributes types

In rmcfs: The MCFS-ID Algorithm for Feature Selection and Interdependency Discovery

Description

Fixes any input data to prepare them to export to ARFF/ADX formats. If after exporting data to ARFF/ADX formats there are some problems in running Java MCFS or WEKA, try to use this function before. This function fixes data values (e.g. space " " is replaced by "_") and data types (e.g. all Date columns converted to character in R).

Usage

fix.data(x, 
          type = c("all", "names", "values", "types"), 
          source_chars = c(" ", "'", ",", "/", "|", "#", 
                           "-", "(", ")", "[", "]", "{", "}"),
          destination_char = "_", 
          numeric_class = c("difftime"), 
          nominal_class = c("factor", "logical", "Date", "POSIXct", "POSIXt"))

Arguments

x	input data frame to be fixed.
type	all - fixes: column names, data values, data types. names - fixes only column names. All characters determined by source_chars parameter are replaced by destination_char (e.g. space " " is replaced by "_"). values - fixes only data values. All characters determined by source_chars parameter are replaced by destination_char (e.g. space " " is replaced by "_"). types - fixes only data types (e.g. all possible nominal columns as (Date or logical) converted to character).
source_chars	characters that will be replaced in column names and data values.
destination_char	character that will be inserted in column names and data values.
numeric_class	vector of class labels to be casted as.numeric.
nominal_class	vector of class labels to be casted as.character.

Value

data.frame with fixed values and types (depends on type parameter).

Examples

  ## Not run: ###dontrunbegin

  # create artificial data
  adata <- artificial.data(rnd_features = 1000)
  
  # Fix data types and data values - remove "," " " "/" from values and fix data types
  # This function may help if mcfs has any problems with input data
  adata.fixed <- fix.data(adata)
  
  
## End(Not run)###dontrunend

Example output

Loading required package: rJava

  ########################
  ##   rmcfs   1.2.15   ##
  ########################
  If used please cite the following paper: 
  M. Draminski, J. Koronacki (2018), 
  rmcfs: An R Package for Monte Carlo Feature Selection and Interdependency Discovery,
  Journal of Statistical Software, vol 85(12), 1-28, doi:10.18637/jss.v085.i12.
Fixing names...
Fixing values...
Fixing types...

rmcfs documentation built on Sept. 18, 2021, 5:07 p.m.