coding: Dummy Coding

In cba: Clustering for Business Analytics

Dummy Coding

Description

Functions that convert R objects to a dummy coded matrix (or a list of matrices).

Usage

as.dummy(x, ...)

## S3 method for class 'matrix'
as.dummy(x, sep = " ", drop = FALSE, ...)
## S3 method for class 'data.frame'
as.dummy(x, sep = " ", drop = FALSE, ...)

Arguments

x	an R object (see below).
sep	separator used for construction of colnames.
drop	drop factors with less than two levels.
...	other (unused) arguments.

Details

The generic is applicable to factor and to R objects that can be converted to factor, i.e. logical, integer, or character. For numeric data a discretization method has to be used.

A factor is converted to as many logical variables as there are levels where the value TRUE indicates the presence of a level.

The colnames are made of the concatenation of a variable name and the level, separated by sep. For matrix and data.frame variable names are created if necessary.

A value of NA is mapped to FALSE across all levels.

Value

A matrix with a levels attribute which contains a list of the levels of the coded variables.

Warning

This is experimental code which may change in the future.

Author(s)

Christian Buchta

See Also

as.logical.

Examples

### 
x <- as.integer(sample(3,10,rep=TRUE))
as.dummy(x)
is.na(x) <- c(3,5)
as.dummy(x)
x <- as.data.frame(x)
as.dummy(x)

cba documentation built on Sept. 11, 2024, 9:32 p.m.