README.md

In mabafaba/categorical: Representing and Manipulating categorical data in R

categorical

The goal of categorical is to provide S3 vector types for categorical survey data.

Installation

This is under development, but you can try:

devtools::install_github('mabafaba/categorical')

Once on CRAN, you can install the released version of categorical from CRAN with:

install.packages("categorical")

Categorical Vectors

features

Categorical Vectors are a basic vector type with the following features:

• they have a fixed set of allowed values called 'levels' (similar to levels in factors)
• they can store alternative values for each level (for example labels, ranks, ...)
• each record in the vector can have more than one level 'selected' to allow storing multipe response data.
• they are desigend for easy creation of subclasses ("internal" alternative values and a class argument)

mabafaba/categorical documentation built on May 3, 2020, 9 p.m.