Plotting random effects

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

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

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

Arguments

x	a random effect object, extracted using mgcViz::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))
#> Estimating learning rate. Each dot corresponds to a loss evaluation. 
#> qu = 0.4.........done 
#> qu = 0.6..........done 
#> qu = 0.2...............done 
#> qu = 0.8...............done 

plot(sm(b, 1)) + l_ciPoly() + l_points()
#> Warning: No l_ciPoly() layer available for type "Multi RandomEffect"

# Default
plot(b)