plotSmeRaw: Visualisation of raw data for a smoothing-splines...

In sme: Smoothing-Splines Mixed-Effects Models

Description

A visualisation of the raw data used to fit the smoothing-splines mixed-effects model is obtained. This is presented as a trellis plot where each panel shows the observations for one of the subjects as a scatter plot (with optional lines connecting the observations if showRawLines is TRUE). If showModelFits is TRUE, then these observations are overlaid with the fitted individual curve for that subject.

Usage

plotSmeRaw(x,xlab="Time",ylab="Y",mainTitle="",showModelFits=TRUE,showRawLines=FALSE,...)

Arguments

x	an object inheriting from class sme, representing a fitted smoothing-splines mixed-effects model
xlab	the label for the x-axis, defaulting to "Time"
ylab	the label for the y-axis, defaulting to "Y"
mainTitle	the main title for the plot, defaulting to none
showModelFits	if TRUE, the fitted individual curve for each subject will be overlaid on their observations in their panel
showRawLines	if TRUE, the raw observations will be connected by lines
...	additional arguments passed through to xyplot

Value

A trellis plot as described above.

Author(s)

Maurice Berk [e-mail]

References

Berk, M. (2012). Smoothing-splines Mixed-effects Models in R. Preprint

See Also

plot.sme, plotSmeModel, plotSmeDiagnostic

Examples

  data(MTB)
  fit <- sme(MTB[MTB$variable==6031,c("y","tme","ind")])
  plotSmeRaw(fit,showModelFits=FALSE)
  plotSmeRaw(fit,showModelFits=FALSE,showRawLines=TRUE)
  plotSmeRaw(fit)

sme documentation built on May 2, 2019, 4:03 a.m.