zipfR (version 0.6-66)

sample.tfl: Incremental Samples from a Type Frequency List (zipfR)

Description

Compute incremental random samples from a type frequency list (an object of class tfl).

Usage

sample.tfl(obj, N, force.list=FALSE)

Arguments

obj

an object of class tfl, representing a type frequency list

N

a vector of non-negative integers in increasing order, the sample sizes for which incremental samples will be generated

force.list

if TRUE, the return value will always be a list of tfl objects, even if N is just a single integer

Value

If N is a single integer (and the force.list flag is not set), a tfl object representing a random sample of size \(N\) from the type frequency list obj.

If N is a vector of length greater one, or if force.list=TRUE, a list of tfl objects representing incremental random samples of the specified sizes \(N\). Incremental means that each sample is a superset of the preceding sample.

Details

The current implementation is reasonably efficient, but will be rather slow when applied to very large type frequency lists.

See Also

tfl for more information about type frequency lists

sample.spc is an analogous function for frequency spectra (objects of class spc)

Examples

# NOT RUN {
## load Brown tfl
data(Brown.tfl)
summary(Brown.tfl)

## sample a tfl of 100k tokens
MiniBrown.tfl <- sample.tfl(Brown.tfl,1e+5)
summary(MiniBrown.tfl)

## if we repat, we get a different sample
MiniBrown.tfl <- sample.tfl(Brown.tfl,1e+5)
summary(MiniBrown.tfl)

# }