plotSmeModel: Visualisation of a fitted smoothing-splines mixed-effects...

In sme: Smoothing-Splines Mixed-Effects Models

Description

The observations used to fit the given smoothing-splines mixed-effects model are shown as a scatter plot and the fitted mean curve is overlaid. Optionally, the fitted individual curves are also shown. Also, the 95% confidence band for the fitted mean curve can optionally be displayed.

Usage

plotSmeModel(x,xlab="Time",ylab="Y",showIndividuals=T,showConfidenceBands=F,
col.meanCurve="red",...)

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"
showIndividuals	if TRUE then each of the fitted subject specific curves will be displayed in the plot as dashed lines, otherwise only the mean curve will be shown
showConfidenceBands	if TRUE, then the 95% confidence band for the fitted mean curve will be shown
col.meanCurve	the color to be used for the fitted mean curve and, if showConfidenceBands is TRUE, the confidence band as well
...	additional arguments passed through to plot when producing the scatter plot of observations

Value

A plot visualising the fitted smoothing-splines mixed-effects model 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, plotSmeRaw, plotSmeDiagnostic

Examples

  data(MTB)
  fit <- sme(MTB[MTB$variable==6031,c("y","tme","ind")])
  plotSmeModel(fit,showIndividuals=FALSE)
  plotSmeModel(fit,showConfidenceBands=TRUE)

Example output

Loading required package: splines
Loading required package: lattice

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