betas (version 0.1.1)

betas.lm: Compute standardized beta coeffizients for linear regression models

Description

Compute standardized beta coeffizients for linear regression models

Usage

betas.lm(MOD)

Arguments

MOD

A model of class lm.

Value

A data.frame with two columns

beta

standardized beta coefficients

se.beta

standard errors for the beta coefficients

Examples

data <- pisa2012che

## linear regression models with numerical covariates only
fit1 <- lm(MATH ~ ESCS + USEMATH, data)
betas.lm(fit1)

## ...and with interaction terms
fit1.1 <- lm(MATH ~ ESCS * USEMATH, data)
betas.lm(fit1.1)

## linear regression models with numerical and factorial covariates
fit2 <- lm(MATH ~ ESCS + USEMATH + ST04Q01 + FAMSTRUC + ST28Q01, data)
betas.lm(fit2)

## ...and with interaction terms
fit2.1 <- lm(MATH ~ ESCS + USEMATH + ST04Q01 + FAMSTRUC * ST28Q01, data)
betas.lm(fit2.1)

## weighted linear regression models
fit3 <- lm(MATH ~ ESCS + USEMATH, data, weights = W_FSTUWT)
betas.lm(fit3)

fit4 <- lm(MATH ~ ESCS + USEMATH + ST04Q01 + FAMSTRUC + ST28Q01, data, weights = W_FSTUWT)
betas.lm(fit4)

## ...with interaction terms
fit3.1 <- lm(MATH ~ ESCS * USEMATH, data, weights = W_FSTUWT)
betas.lm(fit3.1)

fit4.1 <- lm(MATH ~ ESCS + USEMATH + ST04Q01 + FAMSTRUC * ST28Q01, data, weights = W_FSTUWT)
betas.lm(fit4.1)