ftsa (version 3.2)

plot.ftsm: Plot fitted model components for a functional time series model

Description

Plot showing the basis functions in the top row of plots and the coefficients in the bottom row of plots.

Usage

## S3 method for class 'ftsm':
plot(x, components, xlab1 = x$y$xname, ylab1 = "Basis function", 
 xlab2 = "Time", ylab2 = "Coefficient", mean.lab = "Mean", 
  level.lab = "Level", main.title = "Main effects", 
   interaction.title = "Interaction", basiscol = 1, coeffcol = 1, 
    outlier.col = 2, outlier.pch = 19, outlier.cex = 0.5, ...)

Value

None. Function produces a plot.

References

R. J. Hyndman and M. S. Ullah (2007) "Robust forecasting of mortality and fertility rates: A functional data approach", Computational Statistics and Data Analysis, 51(10), 4942-4956. R. J. Hyndman and H. L. Shang (2009) "Forecasting functional time series" (with discussion), Journal of the Korean Statistical Society, 38(3), 199-221.

See Also

forecast.ftsm, ftsm, plot.fm, plot.ftsf, residuals.fm, summary.fm

Examples

plot.ftsm(ftsm(ElNino, 4), components = 2)