Description Usage Arguments Value Examples
Obtain the main circular sample statistics of the distribution, with large-sample normal-theory confidence intervals.
1 | bc.ci.boot(data, symmetric = F, alpha = 0.05, B = 9999, show.progress = T)
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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. |
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.
1 | ests <- bc.ci.boot(q)
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