blocksample: Block sampling

In mets: Analysis of Multivariate Event Times

Block sampling

Description

Sample blockwise from clustered data

Usage

blocksample(data, size, idvar = NULL, replace = TRUE, ...)

Arguments

data	Data frame
size	Size of samples
idvar	Column defining the clusters
replace	Logical indicating wether to sample with replacement
...	additional arguments to lower level functions

Details

Original id is stored in the attribute 'id'

Value

data.frame

Author(s)

Klaus K. Holst

Examples

d <- data.frame(x=rnorm(5), z=rnorm(5), id=c(4,10,10,5,5), v=rnorm(5))
(dd <- blocksample(d,size=20,~id))
attributes(dd)$id

## Not run: 
blocksample(data.table::data.table(d),1e6,~id)

## End(Not run)


d <- data.frame(x=c(1,rnorm(9)),
               z=rnorm(10),
               id=c(4,10,10,5,5,4,4,5,10,5),
               id2=c(1,1,2,1,2,1,1,1,1,2),
               v=rnorm(10))
dsample(d,~id, size=2)
dsample(d,.~id+id2)
dsample(d,x+z~id|x>0,size=5)

mets documentation built on May 29, 2024, 3:51 a.m.