circular_summary function

Circular Summary Statistics

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

circular_summary(x, w = NULL, kappa = NULL, axial = TRUE, 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.

• kappa: numeric. von Mises distribution concentration parameter used for the circular mode. Will be estimated using est.kappa() if not provided.

• axial: logical. Whether the data are axial, i.e. pi-periodical (TRUE, the default) or directional, i.e. $2 \pi$-periodical (FALSE).

• na.rm: logical value indicating whether NA values in x

  should be stripped before the computation proceeds.

Returns

named vector

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)

See Also

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