wrap.lm: Linear regression

In michaelkardas/bwrappers: Clean, analyze, and visualize data in the behavioral sciences

Linear regression

Description

Performs linear regression analyses. The function delegates the primary computations to lm and lm.beta. Note that the confidence intervals are computed using a central t distribution. In the output, R^2 is not adjusted.

Usage

wrap.lm(formula, standardized = FALSE)

Arguments

formula	The linear model
standardized	A logical argument: if FALSE, the function returns unstandardized coefficients; if TRUE, the function returns standardized coefficients

See Also

lm, lm.beta

Examples

## Linear regression with unstandardized coefficients
wrap.lm(formula = bdata$DV7 ~ bdata$DV5 * bdata$DV6, standardized = FALSE)

# Linear regression with standardized coefficients
wrap.lm(formula = bdata$DV7 ~ bdata$DV5 * bdata$DV6, standardized = TRUE)

michaelkardas/bwrappers documentation built on Nov. 13, 2022, 1:14 a.m.