lpr_resc: LAPOP Rescale

In lapop: Processing, Visualizing, and Labeling Americas Barometer Data

LAPOP Rescale

Description

This function allows users to rescale and reorder variables. It is designed for variables of class "labelled" but the rescaling will work for numeric and factor variables too.

Usage

lpr_resc(
  var,
  min = 0L,
  max = 1L,
  reverse = FALSE,
  only_reverse = FALSE,
  only_flip = FALSE,
  map = FALSE,
  new_varlabel = NULL,
  new_vallabels = NULL
)

Arguments

var	Vector (class "labelled" or "haven_labelled"). The original variable to rescale.
min	Integer. Minimum value for the new rescaled variables; default is 0.
max	Integer. Maximum value for the new rescaled variables; default is 1.
reverse	Logical. Reverse code the variable before rescaling. Default: FALSE.
only_reverse	Logical. Reverse code the variable, but do not rescale. Default: FALSE.
only_flip	Logical. Flip the variable coding. Unlike "only_reverse", this will exactly preserve the values of the old variable. For example, for a variable with codes 1, 2, 3, 5, 10, only_flip will code the values 10, 5, 3, 2, 1 (instead of 10, 9, 8, 6, 1). Generally, reverse should be preferred to preserve the underlying scale. Not compatible with rescale. Default: FALSE.
map	Logical. If TRUE, will print a cross-tab showing the old variable and the new, recoded variable. Used to verify the new variable is coded correctly. Default: FALSE.
new_varlabel	Character. Variable label for the new variable. Default: old variable's label.
new_vallabels	Character vector. Supply custom names for value labels. Default: value labels of old variable.

Value

The input variable rescaled

Author(s)

Luke Plutowski, [e-mail] & Robert Vidigal, [e-mail]

Examples

require(lapop); data(ym23)

# Regular data.frame
ym23$pn4r <- lpr_resc(ym23$pn4,
reverse = TRUE,
map = TRUE)

# LPR data.frame
ym23lpr<-lpr_data(ym23)
ym23lpr$variables$pn4r <- lpr_resc(ym23lpr$variables$pn4,
reverse = TRUE,
map = TRUE)

lapop documentation built on April 30, 2026, 1:07 a.m.