sjmisc (version 1.0.2)

std_beta: Compute std. beta coefficients and ci of lm and mixed models

Description

Returns the standardized beta coefficients and confidence intervals of a fitted linear (mixed) models, i.e. fit must either be of class lm or merMod.

Usage

std_beta(fit, include.ci = FALSE)

Arguments

fit

A fitted linear (mixed) model of class lm or merMod (lme4-package).

include.ci

logical, if TRUE, a data frame with confidence intervals will be returned, when fit is of class lm. If fit is a lmerMod object (lme4-package), always returns standard error instead of confid

Value

• A vector with standardiized beta coefficients of the fitted linear model, or a data frame with standardized confidence intervals, if include.ci = TRUE.

References

http://en.wikipedia.org/wiki/Standardized_coefficient{Wikipedia: Standardized coefficient}

Examples

# fit linear model
fit <- lm(airquality$Ozone ~ airquality$Wind + airquality$Temp + airquality$Solar.R)
# print std. beta coefficients
std_beta(fit)

# print std. beta coefficients and ci
std_beta(fit, include.ci = TRUE)