CRAN Package Check Results for Package madshapR

Last updated on 2024-04-22 08:51:30 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.0.3 23.56 215.23 238.79 OK
r-devel-linux-x86_64-debian-gcc 1.0.3 18.54 129.58 148.12 ERROR
r-devel-linux-x86_64-fedora-clang 1.0.3 266.88 ERROR
r-devel-linux-x86_64-fedora-gcc 1.0.3 262.76 ERROR
r-prerel-macos-arm64 1.0.3 82.00 OK
r-prerel-windows-x86_64 1.0.3 20.00 180.00 200.00 OK
r-patched-linux-x86_64 1.0.3 16.78 207.29 224.07 OK
r-release-linux-x86_64 1.0.3 14.36 170.20 184.56 ERROR
r-release-macos-arm64 1.0.3 92.00 OK
r-release-macos-x86_64 1.0.3 212.00 OK
r-release-windows-x86_64 1.0.3 26.00 229.00 255.00 ERROR
r-oldrel-macos-arm64 1.0.3 117.00 OK
r-oldrel-windows-x86_64 1.0.3 25.00 227.00 252.00 OK

Check Details

Version: 1.0.3
Check: examples
Result: ERROR Running examples in ‘madshapR-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: dataset_summarize > ### Title: Generate an assessment report and summary of a dataset > ### Aliases: dataset_summarize > > ### ** Examples > > { + + # use madshapR_DEMO provided by the package + library(dplyr) + + #' ###### Example : Any data frame can be summarized + dataset <- iris['Sepal.Width'] + glimpse(dataset_summarize(dataset)) + + } Attaching package: ‘dplyr’ The following objects are masked from ‘package:stats’: filter, lag The following objects are masked from ‘package:base’: intersect, setdiff, setequal, union - DATA DICTIONARY ASSESSMENT: data_dict -------------- Assess the standard adequacy of naming Assess the uniqueness of variable names Assess the presence of possible duplicated columns Assess the presence of empty rows in the data dictionary Assess the presence of empty columns in the data dictionary Assess the completion of `label(:xx)` column in 'Variables' Assess the `valueType` column in 'Variables' Generate report - WARNING MESSAGES (if any): -------------------------------------------- - DATASET ASSESSMENT: dataset -------------------------- Assess the standard adequacy of naming Assess the presence of variable names both in dataset and data dictionary Assess the presence of possible duplicated variable in the dataset Error in `rename()`: ! Can't rename columns that don't exist. ✖ Column `col_name` doesn't exist. Backtrace: ▆ 1. ├─pillar::glimpse(dataset_summarize(dataset)) 2. ├─madshapR::dataset_summarize(dataset) 3. │ └─madshapR::dataset_evaluate(...) 4. │ └─... %>% select("condition", "name_var", "value") 5. ├─dplyr::select(., "condition", "name_var", "value") 6. ├─dplyr::mutate(...) 7. ├─dplyr::rename(., name_var = "col_name") 8. ├─dplyr:::rename.data.frame(., name_var = "col_name") 9. │ └─tidyselect::eval_rename(expr(c(...)), .data) 10. │ └─tidyselect:::rename_impl(...) 11. │ └─tidyselect:::eval_select_impl(...) 12. │ ├─tidyselect:::with_subscript_errors(...) 13. │ │ └─base::withCallingHandlers(...) 14. │ └─tidyselect:::vars_select_eval(...) 15. │ └─tidyselect:::walk_data_tree(expr, data_mask, context_mask) 16. │ └─tidyselect:::eval_c(expr, data_mask, context_mask) 17. │ └─tidyselect:::reduce_sels(node, data_mask, context_mask, init = init) 18. │ └─tidyselect:::walk_data_tree(new, data_mask, context_mask) 19. │ └─tidyselect:::as_indices_sel_impl(...) 20. │ └─tidyselect:::as_indices_impl(...) 21. │ └─tidyselect:::chr_as_locations(x, vars, call = call, arg = arg) 22. │ └─vctrs::vec_as_location(...) 23. └─vctrs (local) `<fn>`() 24. └─vctrs:::stop_subscript_oob(...) 25. └─vctrs:::stop_subscript(...) 26. └─rlang::abort(...) Execution halted Flavors: r-devel-linux-x86_64-debian-gcc, r-release-linux-x86_64

Version: 1.0.3
Check: data for non-ASCII characters
Result: NOTE Note: found 16 marked UTF-8 strings Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Version: 1.0.3
Check: examples
Result: ERROR Running examples in ‘madshapR-Ex.R’ failed The error most likely occurred in: > ### Name: dataset_summarize > ### Title: Generate an assessment report and summary of a dataset > ### Aliases: dataset_summarize > > ### ** Examples > > { + + # use madshapR_DEMO provided by the package + library(dplyr) + + #' ###### Example : Any data frame can be summarized + dataset <- iris['Sepal.Width'] + glimpse(dataset_summarize(dataset)) + + } Attaching package: ‘dplyr’ The following objects are masked from ‘package:stats’: filter, lag The following objects are masked from ‘package:base’: intersect, setdiff, setequal, union - DATA DICTIONARY ASSESSMENT: data_dict -------------- Assess the standard adequacy of naming Assess the uniqueness of variable names Assess the presence of possible duplicated columns Assess the presence of empty rows in the data dictionary Assess the presence of empty columns in the data dictionary Assess the completion of `label(:xx)` column in 'Variables' Assess the `valueType` column in 'Variables' Generate report - WARNING MESSAGES (if any): -------------------------------------------- - DATASET ASSESSMENT: dataset -------------------------- Assess the standard adequacy of naming Assess the presence of variable names both in dataset and data dictionary Assess the presence of possible duplicated variable in the dataset Error in `rename()`: ! Can't rename columns that don't exist. ✖ Column `col_name` doesn't exist. Backtrace: ▆ 1. ├─pillar::glimpse(dataset_summarize(dataset)) 2. ├─madshapR::dataset_summarize(dataset) 3. │ └─madshapR::dataset_evaluate(...) 4. │ └─... %>% select("condition", "name_var", "value") 5. ├─dplyr::select(., "condition", "name_var", "value") 6. ├─dplyr::mutate(...) 7. ├─dplyr::rename(., name_var = "col_name") 8. ├─dplyr:::rename.data.frame(., name_var = "col_name") 9. │ └─tidyselect::eval_rename(expr(c(...)), .data) 10. │ └─tidyselect:::rename_impl(...) 11. │ └─tidyselect:::eval_select_impl(...) 12. │ ├─tidyselect:::with_subscript_errors(...) 13. │ │ └─base::withCallingHandlers(...) 14. │ └─tidyselect:::vars_select_eval(...) 15. │ └─tidyselect:::walk_data_tree(expr, data_mask, context_mask) 16. │ └─tidyselect:::eval_c(expr, data_mask, context_mask) 17. │ └─tidyselect:::reduce_sels(node, data_mask, context_mask, init = init) 18. │ └─tidyselect:::walk_data_tree(new, data_mask, context_mask) 19. │ └─tidyselect:::as_indices_sel_impl(...) 20. │ └─tidyselect:::as_indices_impl(...) 21. │ └─tidyselect:::chr_as_locations(x, vars, call = call, arg = arg) 22. │ └─vctrs::vec_as_location(...) 23. └─vctrs (local) `<fn>`() 24. └─vctrs:::stop_subscript_oob(...) 25. └─vctrs:::stop_subscript(...) 26. └─rlang::abort(...) Execution halted Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-release-windows-x86_64