plot.avlr {avar}

Plot the AVLR with the Allan Variance

Description

Displays a plot of the Allan variance (AV) with the CI values and the AV implied by the estimated parameters.

Usage

## S3 method for class 'avlr'
plot(
  x,
  decomp = FALSE,
  units = NULL,
  xlab = NULL,
  ylab = NULL,
  main = NULL,
  col_ad = NULL,
  col_ci = NULL,
  nb_ticks_x = NULL,
  nb_ticks_y = NULL,
  legend_position = NULL,
  ci_ad = NULL,
  point_cex = NULL,
  point_pch = NULL,
  show_scales = FALSE,
  text_legend_cex = 1,
  ...
)

Arguments

x

An avlr 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_ad

A string that specifies the color of the line allan 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_ad

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.

show_scales

A boolean that specifies if the scales used for each process should be plotted.

text_legend_cex

A double that specifies the size of the legend text.

...

Additional arguments affecting the plot.

Value

Plot of Allan deviation and relative confidence intervals for each scale.

Author(s)

Stephane Guerrier and Justin Lee

Examples

set.seed(999)

N = 100000
Xt = rnorm(N) + cumsum(rnorm(N, 0, 3e-3))
av = avlr(Xt, wn = 1:7, rw = 12:15)

plot.avlr(av)
plot.avlr(av, decomp = TRUE, main = "Simulated white noise", xlab = "Scales")
plot.avlr(av, units = "sec", legend_position = "topright")
plot.avlr(av, col_ad = "darkred", col_ci = "pink")
plot.avlr(av, decomp = TRUE, show_scales = TRUE)