Repeated Resampling Utility

Source: R/merging.R

Repeat cycles of bootstrap resampling followed by density re-estimation for testing purposes.

cycle_rvtable(x, n, start = NULL, density.args, sample.args, keep = "all")

Arguments

x	an rvtable in distribution form only.
n	total number of iteratively estimated distributions to return, including the original from x.
start	usually NULL when first called and on subsequent recursive calls an integer representing which cycle to begin from in the updated rvtable.
density.args	optional arguments passed to density. If supplied, overrides the density.args attribute of x.
sample.args	optional arguments used when sampling. If supplied, overrides the sample.args attribute of x.
keep	character, iterations to retain in output table. Options are "all" (default) or "last".

Value

an rvtable.

Details

This function repeats cycles of bootstrap resampling from a distribution followed by distribution re-estimation n - 1 times. x must be a distribution-form rvtable and not a sample-form rvtable.

Examples

# NOT RUN {
library(dplyr)
x <- data.frame(
  id1=rep(LETTERS[1:5], each=4),
  id2=factor(c("low", "high")),
  id3=rep(1:2, each=2),
  Val=rep(1:10, each=20), Prob=rep(sqrt(1:10), each=20)) %>% rvtable
cycle_rvtable(x, 2)
x %>% group_by(id1, id2) %>% cycle_rvtable(3, keep="last")
# }