avar (version 0.1.3)

plot.avlr: 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 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,
  ...
)

Value

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

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.

Author

Stephane Guerrier and Justin Lee

Examples

# \donttest{
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)
# }