plot.fm: Plot fitted model components for a functional model

In ftsa: Functional Time Series Analysis

Plot fitted model components for a functional model

Description

When class(x)[1] = ftsm, plot showing the principal components in the top row of plots and the coefficients in the bottom row of plots.

When class(x)[1] = fm, plot showing the predictor scores in the top row of plots and the response loadings in the bottom row of plots.

Usage

## S3 method for class 'fm'
plot(x, order, xlab1 = x$y$xname, ylab1 = "Principal component", 
 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, ...)

Arguments

x	Output from ftsm or fplsr.
order	Number of principal components to plot. Default is all principal components in a model.
xlab1	x-axis label for principal components.
xlab2	x-axis label for coefficient time series.
ylab1	y-axis label for principal components.
ylab2	y-axis label for coefficient time series.
mean.lab	Label for mean component.
level.lab	Label for level component.
main.title	Title for main effects.
interaction.title	Title for interaction terms.
basiscol	Colors for principal components if plot.type = "components".
coeffcol	Colors for time series coefficients if plot.type = "components".
outlier.col	Colors for outlying years.
outlier.pch	Plotting character for outlying years.
outlier.cex	Size of plotting character for outlying years.
...	Plotting parameters.

Value

Function produces a plot.

Author(s)

Rob J Hyndman

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. Booth (2008) "Stochastic population forecasts using functional data models for mortality, fertility and migration", International Journal of Forecasting, 24(3), 323-342.

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

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

Examples

plot(x = ftsm(y = ElNino_ERSST_region_1and2))

ftsa documentation built on May 29, 2024, 2:47 a.m.