2025-01-10 17:50:09 -03:00

26 lines
933 B
R

read_all_experiments <- function(base_path, skip_incomplete = TRUE) {
roots <- list.files(base_path,
include.dirs = TRUE, no.. = TRUE, full.names = TRUE)
experiments <- lapply(roots, read_single_experiment)
names(experiments) <- sapply(roots, basename)
# Validates that no experiment has missing data.
key_sets <- lapply(experiments, ls) |> unique()
# Selects the largest keyset which is presumably the most complete.
key_set <- key_sets[[order(sapply(key_sets, length), decreasing = TRUE)[1]]]
# Discards any experiment that doesn't have all keys.
experiments <- lapply(experiments, function(experiment) {
if (!(all(key_set %in% names(experiment)))) {
warning(glue::glue('Experiment {experiment$experiment_id} is missing ',
'some keys and will be discarded.'))
NULL
} else {
experiment
}
})
experiments[!is.null(experiments)]
}