plot.random.effect: Plotting random effects

In mgcViz: Visualisations for Generalized Additive Models

Plotting random effects

Description

This is the plotting method for random effects (simple random intercepts).

Usage

## S3 method for class 'multi.random.effect'
plot(x, trans = identity, ...)

## S3 method for class 'random.effect'
plot(x, trans = identity, ...)

Arguments

x	a random effect object, extracted using sm.
trans	monotonic function to apply to the fit, confidence intervals and residuals, before plotting. Monotonicity is not checked.
...	currently unused.

Value

An object of class plotSmooth.

Examples

library(mgcViz)
b <- gam(travel~s(Rail,bs="re"), data=Rail, method="REML")
b <- getViz(b)
plot(sm(b, 1)) + l_fitLine(colour = 2, linetype = 2) + l_points() + 
  l_ciLine(colour = 4, linetype = 3)

plot(sm(b, 1)) + l_ciPoly() + l_points()

# Default
plot(b)

###
# Quantile GAM version
###
b <- mqgamV(travel~s(Rail,bs="re"), data=as.data.frame(Rail), qu = c(0.2, 0.4, 0.6, 0.8))

plot(sm(b, 1)) + l_ciPoly() + l_points()

# Default
plot(b)

mgcViz documentation built on Oct. 6, 2023, 5:09 p.m.