plot.avlr {avar} | R Documentation |
Displays a plot of the Allan deviation (AD) with the CI values and the AD implied by the estimated parameters.
## 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, ... )
x |
An |
decomp |
A |
units |
A |
xlab |
A |
ylab |
A |
main |
A |
col_ad |
A |
col_ci |
A |
nb_ticks_x |
An |
nb_ticks_y |
An |
legend_position |
A |
ci_ad |
A |
point_cex |
A |
point_pch |
A |
show_scales |
A |
... |
Additional arguments affecting the plot. |
Plot of Allan deviation and relative confidence intervals for each scale.
Stephane Guerrier and Justin Lee
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(fit, decomp = TRUE, show_scales = TRUE)