circular_dispersion_boot | R Documentation |
Calculates bootstrapped estimates of the circular dispersion, its standard error and its confidence interval.
circular_dispersion_boot(
x,
y = NULL,
w = NULL,
w.y = NULL,
R = 1000,
conf.level = 0.95,
...
)
x |
numeric values in degrees. |
y |
numeric. The angle(s) about which the angles |
w , w.y |
(optional) Weights for |
R |
The number of bootstrap replicates. positive integer (1000 by default). |
conf.level |
Level of confidence: |
... |
optional arguments passed to |
list containing:
MLE
the maximum likelihood estimate of the circular dispersion
sde
standard error of MLE
CI
lower and upper limit of the confidence interval of MLE
circular_dispersion()
data("nuvel1")
PoR <- subset(nuvel1, nuvel1$plate.rot == "na")
sa.por <- PoR_shmax(san_andreas, PoR, "right")
circular_dispersion(sa.por$azi.PoR, y = 135, w = 1 / san_andreas$unc)
circular_dispersion_boot(sa.por$azi.PoR, y = 135, w = 1 / san_andreas$unc, R = 1000)
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