Circular Summary statistics

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

Usage

circular_summary(x, w = 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.

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.

Value

named vector

See also

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

Examples

data("nuvel1")
PoR <- subset(nuvel1, nuvel1$plate.rot == "na")
sa.por <- PoR_shmax(san_andreas, PoR, "right")
circular_summary(sa.por$azi.PoR)
#>            n         mean           sd          var          25% quasi-median 
#> 1126.0000000  140.8777709   23.4183183    0.2840287  124.8495460  136.8274701 
#>          75%       median        95%CI     skewness     kurtosis            R 
#>  150.2163335  138.9450918    2.6012976   -0.1758456    1.4538046    0.7159713 
circular_summary(sa.por$azi.PoR, w = 1 / san_andreas$unc)
#>            n         mean           sd          var          25% quasi-median 
#> 1126.0000000  138.9024850   18.5799867    0.1896731  124.8436061  136.8580836 
#>          75%       median        95%CI     skewness     kurtosis            R 
#>  150.2225367  138.9450918    2.0854956   -0.3377921    2.7863614    0.7159713