bc.ci.LS: Large-sample confidence interval for sample statistics.
In ClairBee/AS.circular: ArchStats: circular functions
Description
Usage
Arguments
Value
Examples
Description
Obtain the main circular sample statistics of the distribution, with large-sample normal-theory confidence intervals.
Usage
1
Arguments
data
Vector of angles.
alpha
Significance level of confidence interval to be obtained. Default is 0.05 (95% confidence interval).
symmetric
Boolean indicating whether or not the data is assumed to be symmetric.
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
ClairBee/AS.circular documentation built on Jan. 24, 2020, 3:57 p.m.
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Description Usage Arguments Value Examples
Description
Obtain the main circular sample statistics of the distribution, with large-sample normal-theory confidence intervals.
Usage
1 |
Arguments
data |
Vector of angles. |
alpha |
Significance level of confidence interval to be obtained. Default is 0.05 (95% confidence interval). |
symmetric |
Boolean indicating whether or not the data is assumed to be symmetric. |
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 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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