bc.ci.boot: Bootstrap confidence interval for sample statistics.

Description Usage Arguments Value Examples

View source: R/Exploratory.R

Description

Obtain the main circular sample statistics of the distribution, with large-sample normal-theory confidence intervals.

Usage

1
bc.ci.boot(data, symmetric = F, alpha = 0.05, B = 9999, show.progress = T)

Arguments

data

Vector of angles.

symmetric

Boolean indicating whether or not the data is assumed to be symmetric.

alpha

Significance level of confidence interval to be obtained. Default is 0.05 (95% confidence interval).

B

Number of bootstrap samples to use to estimate the confidence intervals. Default is 9999.

show.progress

Boolean indicating whether or not to display a progress bar as the bootstrap is run.

Value

A list containing estimates of mu (location), rho (concentration), beta2 (skew) and alpha2 (kurtosis), and the upper and lower bounds of the confidence intervals calculated.

Examples

1
ests <- bc.ci.boot(q)

ClairBee/AS.circular documentation built on Jan. 24, 2020, 3:57 p.m.