Bootstrap confidence intervals  percentile method or t interval.
1 2 3 4 
x 
a 
probs 
probability values, between 0 and 1. The default vector

expand 
logical, if 
... 
additional arguments to pass to 
L 
vector of length 
CI.bootstrapT
assumes the first dimension of the statistic
is an estimate, and the second is proportional to a SE for the
estimate. E.g. for bootstrapping the mean, they could be the mean and s.
This is subject to change.
CI.bca
and CI.bootstrapT
currently only support
a single sample.
a matrix with one column for each value in probs
and one row
for each statistic.
Tim Hesterberg timhesterberg@gmail.com,
http://www.timhesterberg.net/bootstrap
This discusses the expanded percentile interval: Hesterberg, Tim (2014), What Teachers Should Know about the Bootstrap: Resampling in the Undergraduate Statistics Curriculum, http://arxiv.org/abs/1411.5279.
bootstrap
,
bootstrap2
,
ExpandProbs
(for the expanded intervals).
1 2 3 4 5 6 7 8 9 10 11 12 13  ## Not run:
# See full set of examples in resamplepackage, including different
# ways to call all four functions depending on the structure of the data.
data(Verizon)
CLEC < with(Verizon, Time[Group == "CLEC"])
bootC < bootstrap(CLEC, mean, seed = 0)
bootC2 < bootstrap(CLEC, c(mean = mean(CLEC), sd = sd(CLEC)), seed = 0)
CI.percentile(bootC)
CI.t(bootC)
CI.bca(bootC)
CI.bootstrapT(bootC2)
## End(Not run)

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
Please suggest features or report bugs with the GitHub issue tracker.
All documentation is copyright its authors; we didn't write any of that.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.