bootstrap | R Documentation |
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)
y |
Data |
type |
|
alpha |
Confidence level. |
nboot |
Number of bootstrap samples to use |
ci |
|
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. |
Zhiyong Zhang and Ke-Hai Yuan
Zhang, Z. & Yuan, K.-H. (2014). Robust Coefficients Alpha and Omega and their Confidence Intervals: Methods and Software.
data(example)
boot.test<-bootstrap(example, type='alpha', nboot=10, plot=TRUE)
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