plot_resqq: Normal quantile plot for residuals

In goodekat/redres: Residuals and Diagnostic Plots for Mixed Models

Description

Creates a normal quantile plot of the raw conditional residuals. For linear mixed models, these residuals are expected to be normally distributed. This plot can be used to assess this assumption.

Usage

plot_resqq(model)

Arguments

model

Model fit using lmer from lme4.

Details

Confidence bands are constructed pointwise 95% normal confidence intervals.

Value

A normal quantile plot in the form of a ggplot2 object.

Examples

# fits a linear mixed effect model using lme4 where model has a
# random intercept for Days and random slope for Subject*Days
library(lme4)
fm1 <- lmer(Reaction ~ Days + (Days | Subject), sleepstudy)

# checks that error term is normally distributed
plot_resqq(fm1)

# edits theme of ggplot2 object
library(ggplot2)
plot_resqq(fm1) + theme_grey()

goodekat/redres documentation built on March 3, 2021, 10:15 a.m.