bootstrap function

Bootstrap se and CI for alpha and omega

Bootstrap se and CI for alpha and omega.

bootstrap(y, type="omega", alpha=.95, nboot=1000, ci="bc", plot=FALSE, 
varphi=0, complete=FALSE, auxiliary=NULL, silent=FALSE)

Arguments

• y: Data
• type: omega: coefficient omega. Otherwise, coefficient alpha.
• alpha: Confidence level.
• nboot: Number of bootstrap samples to use
• ci: bc: Bias-corrected CI. Otherwise, the percentile CI is used.
• plot: Whether to plot the bootstrap density.
• varphi: Downweight rate
• complete: Calculate alpha/omega only based on complete data (listwise deletion)
• auxiliary: Provide a matrix or data frame of auxiliary variables for missing data analysis.
• silent: Whether to print information of the analysis.

Author(s)

Zhiyong Zhang and Ke-Hai Yuan

References

Zhang, Z. & Yuan, K.-H. (2014). Robust Coefficients Alpha and Omega and their Confidence Intervals: Methods and Software.

Examples

data(example)

boot.test<-bootstrap(example, type='alpha', nboot=10, plot=TRUE)