cycle_rvtable: Repeated Resampling Utility

In leonawicz/rvtable: Random Variable Data Tables

Description

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

Usage

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".

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.

Value

an 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")

## End(Not run)

leonawicz/rvtable documentation built on May 21, 2019, 5:09 a.m.