Calculates the optimum values for number of batches or size of the batches. If you need to do several batches it can be better to distribute it evenly and add replicates.
Usage
optimum_batches(size_data, size_subset)
optimum_subset(size_data, batches)
sizes_batches(size_data, size_subset, batches)Arguments
- size_data
A numeric value of the number of samples to use.
- size_subset
Numeric value of the number of sample per batch.
- batches
A numeric value of the number of batches.
Value
optimum_batchesA numeric value with the number of batches to use.
optimum_subsetA numeric value with the maximum number of samples per batch of the data.
sizes_batchesA numeric vector with the number of samples in each batch.
Examples
size_data <- 50
size_batch <- 24
(batches <- optimum_batches(size_data, size_batch))
#> [1] 3
# So now the best number of samples for each batch is less than the available
(size <- optimum_subset(size_data, batches))
#> [1] 17
# The distribution of samples per batch
sizes_batches(size_data, size, batches)
#> [1] 17 17 16