sample-issues: Random Sampling

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Random Sampling

Description

Generic function for drawing a random sample from an object.

For objects of class IssuesTB, this method returns a random subset of the issues.

Usage

sample(x, size, replace = FALSE, prob = NULL)

## S3 method for class 'IssuesTB'
sample(x, size = nrow(x), replace = FALSE, prob = NULL)

## Default S3 method:
sample(x, size, replace = FALSE, prob = NULL)

Arguments

x	An object of class IssuesTB
size	a non-negative integer giving the number of items to choose.
replace	should sampling be with replacement?
prob	a vector of probability weights for obtaining the elements of the vector being sampled.

Details

The arguments and overall behavior are consistent with base::sample(). For details about the sampling algorithm, probability weights, and special cases, refer to the original documentation: https://stat.ethz.ch/R-manual/R-devel/library/base/html/sample.html

Value

• For IssuesTB objects, an object of the same class containing the sampled issues.

• For all other objects, the result of base::sample().

See Also

base::sample()

IssueTrackeR documentation built on June 21, 2026, 1:07 a.m.