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as_tidy_tables_cohorts <- function(tbl_json) {
tidy_cohorts_tables <-
tbl_json %>%
tidyjson::gather_array() %>%
unwrap_cohort_extended() %>%
relocate_metadata_cols()
return(tidy_cohorts_tables)
}
#' @importFrom rlang .data
unwrap_cohort_extended <- function(tbl_json) {
cohorts <-
tbl_json %>%
tidyjson::spread_values(
cohort_symbol = tidyjson::jstring('name_short'),
cohort_name = tidyjson::jstring('name_full')) %>%
tidyjson::as_tibble() %>%
dplyr::select(-'array.index')
pgs_ids_at_development <-
tbl_json %>%
tidyjson::spread_values(cohort_symbol = tidyjson::jstring('name_short')) %>%
tidyjson::enter_object('associated_pgs_ids') %>%
tidyjson::enter_object('development') %>%
tidyjson::gather_array(column.name = 'development_id') %>%
dplyr::select(-'development_id') %>%
tidyjson::append_values_string(column.name = 'pgs_id') %>%
tibble::add_column(stage = 'gwas/dev')
pgs_ids_at_evaluation <-
tbl_json %>%
tidyjson::spread_values(cohort_symbol = tidyjson::jstring('name_short')) %>%
tidyjson::enter_object('associated_pgs_ids') %>%
tidyjson::enter_object('evaluation') %>%
tidyjson::gather_array(column.name = 'evaluation_id') %>%
dplyr::select(-'evaluation_id') %>%
tidyjson::append_values_string(column.name = 'pgs_id') %>%
tibble::add_column(stage = 'eval')
pgs_ids <- dplyr::bind_rows(
pgs_ids_at_development,
pgs_ids_at_evaluation
) %>%
tidyjson::as_tibble() %>%
dplyr::group_by(.data$..page, .data$array.index) %>%
dplyr::arrange('pgs_id', .by_group = TRUE) %>%
dplyr::ungroup() %>%
dplyr::select(-'array.index')
list(
cohorts = cohorts,
pgs_ids = pgs_ids
)
}
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