plot: Plot a smn.lmm or smsn.lmm object

In skewlmm: Scale Mixture of Skew-Normal Linear Mixed Models

Plot a smn.lmm or smsn.lmm object

Description

Fitted values versus residuals plot.

Usage

## S3 method for class 'SMN'
plot(x, type = "response", level = "conditional",
     useweight = TRUE, alpha = 0.3, ...)

## S3 method for class 'SMSN'
plot(x, type = "response", level = "conditional",
     useweight = TRUE, alpha = 0.3, ...)

Arguments

x	An object inheriting from class SMN or SMSN, representing a fitted scale mixture of (skew) normal linear mixed model.
type	Type of residual that should be used. For details see residuals.SMN. Default is "response", indicating raw residuals.
level	Level of residual that should be used. For details see residuals.SMN. Default is "conditional".
useweight	A logical value indicating if the estimated weights should be used as color in the plot.
alpha	Transparency parameter to be used (0<alpha<1). Meaningless if useweight = TRUE.
...	Additional arguments.

Value

A ggplot object.

Author(s)

Fernanda L. Schumacher, Larissa A. Matos and Victor H. Lachos

See Also

ggplot, smn.lmm, smsn.lmm, fitted.SMN, fitted.SMSN, residuals.SMN, residuals.SMSN

Examples

fm1 = smn.lmm(distance ~ age+Sex, data=nlme::Orthodont,
              groupVar="Subject", distr="t")
plot(fm1)
plot(fm1, useweight=FALSE)

library(ggplot2)
plot(fm1) + ggtitle("t-LMM for orthodont data")

skewlmm documentation built on July 9, 2023, 7:29 p.m.