plot.gmwm: 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 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,
  ...
)

Value

Plot of WV and relative confidence intervals for each scale.

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.

Author

Stephane Guerrier and Yuming Zhang