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

plotSmeModel {sme} | R Documentation

## Visualisation of a fitted smoothing-splines mixed-effects model

### 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 maurice@mauriceberk.com

### 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)

[Package sme version 0.8 Index]