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mets (version 1.3.4)

blocksample: Block sampling

Description

Sample blockwise from clustered data

Usage

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

Value

data.frame

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

Author

Klaus K. Holst

Details

Original id is stored in the attribute 'id'

Examples

Run this code

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

if (FALSE) {
blocksample(data.table::data.table(d),1e6,~id)
}


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)

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