standardBootIntervals: standardBootIntervals

In Omisc: Univariate Bootstrapping and Other Things

standardBootIntervals

Description

This returns the quantiles of the bootstrap samples specified by the user. The quantiles uses the type=4 argument of the quantile function, which appears to function best.

Usage

standardBootIntervals(boot, lower = 0.025, upper = 0.975)

Arguments

boot	A vector of bootstrap results
lower	the lower alpha
upper	the upper alpha

Value

A matrix of the mean, median, min, max, lower and upper CI values

Examples

data<-DFSimulated()
boots<-NaiveBoot(data, groups="Rs", keepgroups=TRUE, B=100)
boots<-bootAnalysis(boots, cbind, DFanalysis,1,2,3,TRUE,FALSE,TRUE,TRUE,FALSE)
apply(boots,1, standardBootIntervals)
DFanalysis(data,1,2,3)

Omisc documentation built on Aug. 9, 2022, 5:09 p.m.