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Random sample references

Source: R/sample_references.R
sample_references.Rd

sample_referencessamples n rows from the dataset with titles and abstracts either with or without replacement. This function is supposed to support the construct of a test dataset, as suggested by Vembye et al. (2025).

Usage

sample_references(
  data,
  n,
  with_replacement = FALSE,
  prob_vec = rep(1/n, nrow(data))
)

Arguments

data

Dataset containing the titles and abstracts wanted to be screened.

n

A non-negative integer giving the number of rows to choose.

with_replacement

Logical indicating if sampling should be done with of without replacement. Default is FALSE.

prob_vec

'A vector of probability weights for obtaining the elements of the vector being sampled.' Default is a vector of 1/n.

Value

A dataset with n rows.

References

Vembye, M. H., Christensen, J., Mølgaard, A. B., & Schytt, F. L. W. (2025). Generative Pretrained Transformer Models Can Function as Highly Reliable Second Screeners of Titles and Abstracts in Systematic Reviews: A Proof of Concept and Common Guidelines. Psychological Methods. doi:10.1037/met0000769

Examples


excl_test_dat <- filges2015_dat[1:200,] |> sample_references(100)