plot.wvar: Plot Wavelet Variance

In wv: Wavelet Variance

Description

Displays a plot of wavelet variance accounting for CI values and supplied efficiency.

Usage

## S3 method for class 'wvar'
plot(
  x,
  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 wvar object.
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 confidence interval polygon.
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 a confidence interval polygon will be drawn.
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.

Value

Plot of wavelet variance and confidence interval for each scale.

Author(s)

Stephane Guerrier, Nathanael Claussen, and Justin Lee

Examples

set.seed(999)
n = 10^4
Xt = rnorm(n)
wv = wvar(Xt)
plot(wv)
plot(wv, main = "Simulated white noise", xlab = "Scales")
plot(wv, units = "sec", legend_position = "topright")
plot(wv, col_wv = "darkred", col_ci = "pink")

wv documentation built on Jan. 17, 2020, 1:07 a.m.