plot.gmwm: Plot the GMWM with the Wavelet Variance
In simts: Time Series Analysis Tools

plot.gmwm

R Documentation

Plot the GMWM with the Wavelet Variance

Description

Displays a plot of the Wavelet Variance (WV) with the CI values and the WV implied by the estimated parameters.

Usage

## S3 method for class 'gmwm'
plot(
  x,
  decomp = FALSE,
  units = NULL,
  xlab = NULL,
  ylab = NULL,
  main = NULL,
  col_wv = NULL,
  col_ci = NULL,
  nb_ticks_x = NULL,
  nb_ticks_y = NULL,
  legend_position = NULL,
  ci_wv = NULL,
  point_cex = NULL,
  point_pch = NULL,
  ...
)

Arguments

`x`	A `gmwm` object.
`decomp`	A `boolean` that determines whether the contributions of each individual model are plotted.
`units`	A `string` that specifies the units of time plotted on the x axis.
`xlab`	A `string` that gives a title for the x axis.
`ylab`	A `string` that gives a title for the y axis.
`main`	A `string` that gives an overall title for the plot.
`col_wv`	A `string` that specifies the color of the wavelet variance line.
`col_ci`	A `string` that specifies the color of the shaded area covered by the confidence intervals.
`nb_ticks_x`	An `integer` that specifies the maximum number of ticks for the x-axis.
`nb_ticks_y`	An `integer` that specifies the maximum number of ticks for the y-axis.
`legend_position`	A `string` that specifies the position of the legend (use `legend_position = NA` to remove legend).
`ci_wv`	A `boolean` that determines whether to plot the confidence interval shaded area.
`point_cex`	A `double` that specifies the size of each symbol to be plotted.
`point_pch`	A `double` that specifies the symbol type to be plotted.
`...`	Additional arguments affecting the plot.