uniformEncode: uniformEncode

In AnotherSamWilson/helperFuncs: Helper Functions for common manipuations

Description

Puts data from 1 range into another using a linear mapping. i.e. map data in 0-1 to 0-100

Usage

uniformEncode(dt, vars, oldRange = lapply(dt[, vars, with = FALSE],
  function(x) return(c(min(x, na.rm = TRUE), max(x, na.rm = TRUE)))),
  newRange = c(0, 1), encodeNA = NA)

Arguments

dt	Dataset to create object on.
vars	variables you want to include in the encoding.
oldRange	The old range of the variable. This can be user specified if you believe your data does not encompass the entire true range.
newRange	the new range the map the values to. This can either be a vector, or a named list of vectors if you want different ranges for each variable (not typical).
encodeNA	Values to set NA to. Can be a scalar or a named list of scalars (different values for each variable) if you are doing something complicated. If TRUE, NAs will be grouped, but only if they are 'rare'. If they are not rare, NAs will be untouched.

Value

Rare Encoded Object

AnotherSamWilson/helperFuncs documentation built on Oct. 1, 2019, 8:51 p.m.