QuantPsyc (version 1.6)

lm.beta: Standardized Regression Coefficients

Description

Computes the standardized regression coeffients (beta) from an object of class (lm)

Usage

lm.beta(MOD)

Arguments

MOD

MOD is object from lm with the form y ~ x1 + x2 + ...

Value

A "numeric" representing each standardized coefficient from lm() model

Warning

This function does not produce 'correct' standardized coefficients when interaction terms are present

See Also

Make.Z, lm

Examples

# NOT RUN {
us <- USJudgeRatings
names(us)
lm1 <- lm ( CONT ~ INTG + DMNR + DILG, us)
lm.beta(lm1)

# Standardized data (using Make.Z())

usz <- data.frame (Make.Z (us))
lm1.z <- lm ( CONT ~ INTG + DMNR + DILG, usz)

# compare standardized data versus lm.beta

summary(lm1.z)

# }