fifer (version 1.1)

scaleB: Standardize coefficients

Description

Generic function for obtaining scaled coefficients

Usage

scaleB(object, scale.response = F)

Arguments

object

an object resulting from glm, lm, or lda

scale.response

should the response variable be scaled as well? (Usually not for glm or lda).

Value

an object of the same class as the one outputted

Details

Given an object of class lm, glm, or lda, this function will first standardize the variables, then run the model again. The resulting coefficients will be standardized betas.

Examples

		#### create random data with different means and variances
d = data.frame(matrix(rnorm(5*50, c(10,5,14,100, 33), c(3,5,4,3,5)), nrow=50, byrow=TRUE))
names(d) = LETTERS[1:5]
g = lm(C~B + A + D + E, data=d)
scaleB(g, TRUE)
##### make a logistic
d$A = as.factor(as.numeric(cut(d$A, 2, labels=c(1,0))	))
object = glm(A~B + C + D + E, data=d, family=binomial)
scaleB(object)
##### LDA
object = lda(A~B + C + D + E, data=d, family=binomial)
scaleB(object)