Sample rows from a dataset with optional seed for reproducibility.
Used by optimizers for consistent train/validation splits and
demo selection.
Usage
sample_dataset(dataset, n = NULL, seed = NULL, replace = FALSE)
Arguments
- dataset
A data frame to sample from.
- n
Number of rows to sample. If NULL or greater than nrow(dataset),
returns the full dataset.
- seed
Random seed for reproducibility. If NULL, sampling is random.
- replace
Whether to sample with replacement. Default is FALSE.
Value
A data frame containing the sampled rows.
Examples
df <- tibble::tibble(x = 1:10, y = letters[1:10])
# Deterministic sampling
sample1 <- sample_dataset(df, n = 5, seed = 42)
sample2 <- sample_dataset(df, n = 5, seed = 42)
identical(sample1, sample2) # TRUE
#> [1] TRUE
# Random sampling (different each time)
sample3 <- sample_dataset(df, n = 5)
