ordbetareg (version 0.2.1)

normalize: Normalize Outcome/Response to \[0,1\] Interval

Description

This function takes a continuous (double) column of data and converts it to have 0 as the lower bound and 1 as the upper bound.

Usage

normalize(outcome)

Value

A numeric vector with an upper bound of 1 and a lower bound of 0. The original bounds are saved in the attributes "lower_bound" and "upper_bound".

Arguments

outcome

Any non-character vector. Factors will be converted to numeric via coercion.

Details

Beta regression can only be done with a response that is continuous with a lower bound of 0 and an upper bound of 1. However, it is straightforward to transform any lower and upper-bounded continuous variable to the \[0,1\] interval. This function does the transformation and saves the original bounds as attributes so that the bounds can be reverse-transformed.

Examples

# set up arbitrary upper and lower-bounded vector
outcome <- runif(1000, min=-33, max=445)

# normalize to \[0,1\]

trans_outcome <- normalize(outcome=outcome)
summary(trans_outcome)

# only works with numeric vectors and factors
if (FALSE) {
  normalize(outcome=c('a','b'))
}