rescale: Function for Standardizing by Centering and Dividing by 2...
In arm: Data Analysis Using Regression and Multilevel/Hierarchical Models

rescale

R Documentation

Function for Standardizing by Centering and Dividing by 2 sd's

Description

This function standardizes a variable by centering and dividing by 2 sd's with exceptions for binary variables.

Usage

rescale(x, binary.inputs="center")

Arguments

`x`	a vector
`binary.inputs`	options for standardizing binary variables, default is `center`; `0/1` keeps original scale; `-0.5,0.5` rescales 0 as -0.5 and 1 as 0.5; `center` substracts the mean; and `full` substracts the mean and divids by 2 sd.

Value

the standardized vector

Author(s)

Andrew Gelman gelman@stat.columbia.edu; Yu-Sung Su suyusung@tsinghua.edu.cn

References

Andrew Gelman. (2008). “Scaling regression inputs by dividing by two standard deviations”. Statistics in Medicine 27: 2865–2873. http://www.stat.columbia.edu/~gelman/research/published/standardizing7.pdf

Examples

  # Set up the fake data
  n <- 100
  x <- rnorm (n, 2, 1)
  x1 <- rnorm (n)
  x1 <- (x1-mean(x1))/(2*sd(x1))   # standardization
  x2 <- rbinom (n, 1, .5)
  b0 <- 1
  b1 <- 1.5
  b2 <- 2
  y <- rbinom (n, 1, invlogit(b0+b1*x1+b2*x2))
  rescale(x, "full")
  rescale(y, "center")

arm documentation built on Aug. 29, 2022, 1:05 a.m.