circular_summary: Circular Summary Statistics

In tectonicr: Analyzing the Orientation of Maximum Horizontal Stress

Circular Summary Statistics

Description

Circular mean, standard deviation, variance, quasi-quantiles, mode, 95% confidence angle, standardized skewness and kurtosis

Usage

circular_summary(
  x,
  w = NULL,
  axial = TRUE,
  mode = FALSE,
  kappa = NULL,
  fisher.CI = FALSE,
  conf.level = 0.95,
  na.rm = FALSE
)

Arguments

x	numeric vector. Values in degrees.
w	(optional) Weights. A vector of positive numbers and of the same length as x.
axial	logical. Whether the data are axial, i.e. pi-periodical (TRUE, the default) or directional, i.e. 2 \pi-periodical (FALSE).
mode	logical. Whether the circular mode should be calculated or not.
kappa	numeric. von Mises distribution concentration parameter used for the circular mode. Will be estimated using est.kappa() if not provided.
fisher.CI	logical. Whether Fisher's or the default Mardia/Batchelet's confidence interval should be calculated.
conf.level	numeric. Level of confidence: (1 - \alpha \%)/100. (0.95 by default).
na.rm	logical value indicating whether NA values in x should be stripped before the computation proceeds.

Value

named vector

See Also

circular_mean(), circular_sd(), circular_var(), circular_quantiles(), confidence_angle(), second_central_moment(), circular_mode()

Examples

data("nuvel1")
PoR <- subset(nuvel1, nuvel1$plate.rot == "na")
sa.por <- PoR_shmax(san_andreas, PoR, "right")
circular_summary(sa.por$azi.PoR)
circular_summary(sa.por$azi.PoR, w = 1 / san_andreas$unc)

tectonicr documentation built on June 8, 2025, 11:33 a.m.