# unfactor: unfactor In TSDT: Treatment-Specific Subgroup Detection Tool

## Description

Convert the factor columns of a data.frame to character or numeric.

## Usage

 `1` ```unfactor(data) ```

## Arguments

 `data` A factor variable or a data.frame containing factor variables.

## Details

If the levels of a factor variable in data represent numeric values the variable will be converted to a numeric data type, otherwise it is converted to a character data type.

## Value

A vector or data.frame no longer containing any factor variables.

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32``` ```## Generate example data.frame of factors with factor levels of numeric, ## character and mixed data types. N <- 20 ex1 <- data.frame( factor( sample( c(0,1,NA), size = N, prob = c(0.4,0.3,0.3), replace = TRUE ) ) ) names( ex1 ) <- "num" ex1\$char <- factor( sample( c("Control","Experimental", NA ), size = N, prob = c(0.4,0.3,0.3), replace = TRUE ) ) ex1\$mixed <- factor( sample( c(10,'A',NA), size = N, prob = c(0.4,0.3,0.3), replace = TRUE ) ) ## Initially the data type of all variables in ex1 is factor ex1 class( ex1\$num ) #factor class( ex1\$char ) #factor class( ex1\$mixed ) #factor ## Now convert all factor variables to numeric or character ex2 <- unfactor( ex1 ) ex2 ## The data types are now numeric or character class( ex2\$num ) # numeric class( ex2\$char ) # character class( ex2\$mixed ) # character ## The notation for missing factor values that have been converted to ## character can be changed to an empty string for easier reading by use of ## the function na2empty(). ex2\$char <- na2empty( ex2\$char ) ex2\$mixed <- na2empty( ex2\$mixed ) ex2 ```