Open francisbarton opened 10 months ago
Reprex:
library(lubridate, warn.conflicts = FALSE) test_data <- list( month = tibble::tribble( ~ref, ~measure_name, ~comment ), events = tibble::tribble( ~ref, ~measure_name, ~comment, ~event_date_or_datetime, "1", "Test data", "Reprex for duplicate date", as_date("2023-12-18"), "1", "Test data", "Reprex for duplicate date", as_date("2023-12-18") ) ) test_rc <- tibble::tribble( ~ref, ~measure_name, ~domain, ~spc_chart_type, ~aggregation, ~report_comment, "1", "Test data", NA_character_, "t", "none", NA_character_ ) test_mc <- tibble::tribble( ~ref, ~measure_name, ~unit, ~data_source, ~data_owner, ~accountable_person, ~improvement_direction, ~target, ~target_set_by, ~data_quality, ~rebase_dates, ~rebase_comment, "1", "Test data", "integer", "My brain", "Me", "nobody", "decrease", 0, "Me", "GGGG", "", "" ) test_data_bundle <- SPCreporter::spcr_make_data_bundle( test_data, test_rc, test_mc ) #> ℹ check_for_optional_columns: Optional column 'allowable_days_lag' is missing. #> Adding it. #> Error in `tidyr::pivot_longer()` at SPCreporter/R/helper_functions.R:38:3: #> ! `cols` must select at least one column. #> Backtrace: #> ▆ #> 1. └─SPCreporter::spcr_make_data_bundle(test_data, test_rc, test_mc) #> 2. ├─dplyr::bind_rows(lengthen_measure_data(a_data_df), e_data_time_between) at SPCreporter/R/spcr_make_data_bundle.R:51:3 #> 3. │ └─rlang::list2(...) #> 4. └─SPCreporter:::lengthen_measure_data(a_data_df) #> 5. ├─dplyr::arrange(...) at SPCreporter/R/helper_functions.R:38:3 #> 6. ├─dplyr::mutate(...) at SPCreporter/R/helper_functions.R:38:3 #> 7. ├─tidyr::pivot_longer(...) at SPCreporter/R/helper_functions.R:38:3 #> 8. └─tidyr:::pivot_longer.data.frame(.data, !any_of(init_cols), names_to = "date", values_drop_na = TRUE) #> 9. └─tidyr::build_longer_spec(...) #> 10. └─cli::cli_abort(...) #> 11. └─rlang::abort(...)
If only a data frame that contains no rows is supplied within measure data, then spcr_make_data_bundle()'s check and shape process will error at the lengthen_measure_data() step.
spcr_make_data_bundle()
lengthen_measure_data()
Reprex:
If only a data frame that contains no rows is supplied within measure data, then
spcr_make_data_bundle()
's check and shape process will error at thelengthen_measure_data()
step.