Last updated on 2023-03-20 19:51:38 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.5 | OK | ||||
| r-devel-linux-x86_64-debian-gcc | 0.5 | 5.56 | 236.25 | 241.81 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.5 | 368.65 | OK | |||
| r-devel-linux-x86_64-fedora-gcc | 0.5 | 393.11 | OK | |||
| r-patched-linux-x86_64 | 0.5 | 6.02 | 303.72 | 309.74 | OK | |
| r-release-linux-x86_64 | 0.5 | 6.02 | 286.55 | 292.57 | OK | |
| r-release-macos-arm64 | 0.5 | 70.00 | OK | |||
| r-release-macos-x86_64 | 0.5 | 85.00 | OK | |||
| r-release-windows-x86_64 | 0.5 | 74.00 | 333.00 | 407.00 | OK | |
| r-oldrel-macos-arm64 | 0.5 | 89.00 | OK | |||
| r-oldrel-macos-x86_64 | 0.5 | 103.00 | OK | |||
| r-oldrel-windows-ix86+x86_64 | 0.5 | 15.00 | 357.00 | 372.00 | OK |
Version: 0.5
Check: tests
Result: ERROR
Running ‘testthat.R’ [88s/130s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(tidypredict)
>
> test_check("tidypredict")
[ FAIL 11 | WARN 1 | SKIP 10 | PASS 91 ]
══ Skipped tests ═══════════════════════════════════════════════════════════════
• On CRAN (10)
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-earth.R:13:3'): Simple models ──────────────────────────────────
Error in `vectbl_assign(x[[j]], i, recycled_value[[j]])`: DLL requires the use of native symbols
Backtrace:
▆
1. ├─testthat::expect_false(test_earth(age ~ sibsp + parch, data = etitanic)) at test-earth.R:13:2
2. │ └─testthat::quasi_label(enquo(object), label, arg = "object")
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─tidypredict (local) test_earth(age ~ sibsp + parch, data = etitanic)
5. │ ├─tidypredict::tidypredict_test(earth::earth(...), df = .data) at test-earth.R:6:2
6. │ └─tidypredict:::tidypredict_test.default(earth::earth(...), df = .data)
7. │ └─tidypredict:::tidypredict_test_default(...)
8. │ └─tidypredict::tidypredict_to_column(...)
9. │ ├─tidypredict::tidypredict_fit(model)
10. │ └─tidypredict:::tidypredict_fit.earth(model)
11. │ ├─tidypredict::parse_model(model)
12. │ └─tidypredict:::parse_model.earth(model)
13. │ └─tidypredict:::mars_terms(model, is_glm)
14. │ └─... %>% purrr::pluck("final")
15. ├─purrr::pluck(., "final")
16. │ └─purrr:::pluck_raw(.x, list2(...), .default = .default)
17. ├─dplyr::summarize(...)
18. ├─dplyr::group_by(., feature, feature_num)
19. ├─dplyr::mutate(...)
20. ├─dplyr::rowwise(.)
21. ├─dplyr::left_join(., term_to_column, by = "term")
22. ├─dplyr::arrange(., feature_num)
23. ├─dplyr::mutate(...)
24. ├─dplyr::right_join(., feature_coefs, by = "feature")
25. └─dplyr:::right_join.data.frame(., feature_coefs, by = "feature")
26. └─dplyr:::join_mutate(...)
27. ├─base::`[<-`(`*tmp*`, new_rows, merge, value = `<tibble[,1]>`)
28. └─tibble:::`[<-.tbl_df`(`*tmp*`, new_rows, merge, value = `<tibble[,1]>`)
29. └─tibble:::tbl_subassign(x, i, j, value, i_arg, j_arg, substitute(value))
30. └─tibble:::tbl_subassign_row(xj, i, value, i_arg, value_arg, call)
31. ├─base::withCallingHandlers(...)
32. └─tibble:::vectbl_assign(x[[j]], i, recycled_value[[j]])
── Error ('test-earth.R:19:3'): Less simple models w categorical vars ──────────
Error in `vectbl_assign(x[[j]], i, recycled_value[[j]])`: DLL requires the use of native symbols
Backtrace:
▆
1. ├─testthat::expect_false(test_earth(age ~ ., data = etitanic)) at test-earth.R:19:2
2. │ └─testthat::quasi_label(enquo(object), label, arg = "object")
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─tidypredict (local) test_earth(age ~ ., data = etitanic)
5. │ ├─tidypredict::tidypredict_test(earth::earth(...), df = .data) at test-earth.R:6:2
6. │ └─tidypredict:::tidypredict_test.default(earth::earth(...), df = .data)
7. │ └─tidypredict:::tidypredict_test_default(...)
8. │ └─tidypredict::tidypredict_to_column(...)
9. │ ├─tidypredict::tidypredict_fit(model)
10. │ └─tidypredict:::tidypredict_fit.earth(model)
11. │ ├─tidypredict::parse_model(model)
12. │ └─tidypredict:::parse_model.earth(model)
13. │ └─tidypredict:::mars_terms(model, is_glm)
14. │ └─... %>% purrr::pluck("final")
15. ├─purrr::pluck(., "final")
16. │ └─purrr:::pluck_raw(.x, list2(...), .default = .default)
17. ├─dplyr::summarize(...)
18. ├─dplyr::group_by(., feature, feature_num)
19. ├─dplyr::mutate(...)
20. ├─dplyr::rowwise(.)
21. ├─dplyr::left_join(., term_to_column, by = "term")
22. ├─dplyr::arrange(., feature_num)
23. ├─dplyr::mutate(...)
24. ├─dplyr::right_join(., feature_coefs, by = "feature")
25. └─dplyr:::right_join.data.frame(., feature_coefs, by = "feature")
26. └─dplyr:::join_mutate(...)
27. ├─base::`[<-`(`*tmp*`, new_rows, merge, value = `<tibble[,1]>`)
28. └─tibble:::`[<-.tbl_df`(`*tmp*`, new_rows, merge, value = `<tibble[,1]>`)
29. └─tibble:::tbl_subassign(x, i, j, value, i_arg, j_arg, substitute(value))
30. └─tibble:::tbl_subassign_row(xj, i, value, i_arg, value_arg, call)
31. ├─base::withCallingHandlers(...)
32. └─tibble:::vectbl_assign(x[[j]], i, recycled_value[[j]])
── Error ('test-earth.R:25:3'): Models w degree work ───────────────────────────
Error in `vectbl_assign(x[[j]], i, recycled_value[[j]])`: DLL requires the use of native symbols
Backtrace:
▆
1. ├─testthat::expect_false(...) at test-earth.R:25:2
2. │ └─testthat::quasi_label(enquo(object), label, arg = "object")
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─tidypredict (local) test_earth(age ~ sibsp + parch, data = etitanic, degree = 2)
5. │ ├─tidypredict::tidypredict_test(earth::earth(...), df = .data) at test-earth.R:6:2
6. │ └─tidypredict:::tidypredict_test.default(earth::earth(...), df = .data)
7. │ └─tidypredict:::tidypredict_test_default(...)
8. │ └─tidypredict::tidypredict_to_column(...)
9. │ ├─tidypredict::tidypredict_fit(model)
10. │ └─tidypredict:::tidypredict_fit.earth(model)
11. │ ├─tidypredict::parse_model(model)
12. │ └─tidypredict:::parse_model.earth(model)
13. │ └─tidypredict:::mars_terms(model, is_glm)
14. │ └─... %>% purrr::pluck("final")
15. ├─purrr::pluck(., "final")
16. │ └─purrr:::pluck_raw(.x, list2(...), .default = .default)
17. ├─dplyr::summarize(...)
18. ├─dplyr::group_by(., feature, feature_num)
19. ├─dplyr::mutate(...)
20. ├─dplyr::rowwise(.)
21. ├─dplyr::left_join(., term_to_column, by = "term")
22. ├─dplyr::arrange(., feature_num)
23. ├─dplyr::mutate(...)
24. ├─dplyr::right_join(., feature_coefs, by = "feature")
25. └─dplyr:::right_join.data.frame(., feature_coefs, by = "feature")
26. └─dplyr:::join_mutate(...)
27. ├─base::`[<-`(`*tmp*`, new_rows, merge, value = `<tibble[,1]>`)
28. └─tibble:::`[<-.tbl_df`(`*tmp*`, new_rows, merge, value = `<tibble[,1]>`)
29. └─tibble:::tbl_subassign(x, i, j, value, i_arg, j_arg, substitute(value))
30. └─tibble:::tbl_subassign_row(xj, i, value, i_arg, value_arg, call)
31. ├─base::withCallingHandlers(...)
32. └─tibble:::vectbl_assign(x[[j]], i, recycled_value[[j]])
── Error ('test-earth.R:35:3'): Most pmethods work ─────────────────────────────
Error in `vectbl_assign(x[[j]], i, recycled_value[[j]])`: DLL requires the use of native symbols
Backtrace:
▆
1. ├─base::lapply(...) at test-earth.R:35:2
2. │ └─tidypredict (local) FUN(X[[i]], ...)
3. │ ├─testthat::expect_false(...) at test-earth.R:38:6
4. │ │ └─testthat::quasi_label(enquo(object), label, arg = "object")
5. │ │ └─rlang::eval_bare(expr, quo_get_env(quo))
6. │ └─tidypredict (local) test_earth(age ~ sibsp + parch, data = etitanic, pmethod = x)
7. │ ├─tidypredict::tidypredict_test(earth::earth(...), df = .data) at test-earth.R:6:2
8. │ └─tidypredict:::tidypredict_test.default(earth::earth(...), df = .data)
9. │ └─tidypredict:::tidypredict_test_default(...)
10. │ └─tidypredict::tidypredict_to_column(...)
11. │ ├─tidypredict::tidypredict_fit(model)
12. │ └─tidypredict:::tidypredict_fit.earth(model)
13. │ ├─tidypredict::parse_model(model)
14. │ └─tidypredict:::parse_model.earth(model)
15. │ └─tidypredict:::mars_terms(model, is_glm)
16. │ └─... %>% purrr::pluck("final")
17. ├─purrr::pluck(., "final")
18. │ └─purrr:::pluck_raw(.x, list2(...), .default = .default)
19. ├─dplyr::summarize(...)
20. ├─dplyr::group_by(., feature, feature_num)
21. ├─dplyr::mutate(...)
22. ├─dplyr::rowwise(.)
23. ├─dplyr::left_join(., term_to_column, by = "term")
24. ├─dplyr::arrange(., feature_num)
25. ├─dplyr::mutate(...)
26. ├─dplyr::right_join(., feature_coefs, by = "feature")
27. └─dplyr:::right_join.data.frame(., feature_coefs, by = "feature")
28. └─dplyr:::join_mutate(...)
29. ├─base::`[<-`(`*tmp*`, new_rows, merge, value = `<tibble[,1]>`)
30. └─tibble:::`[<-.tbl_df`(`*tmp*`, new_rows, merge, value = `<tibble[,1]>`)
31. └─tibble:::tbl_subassign(x, i, j, value, i_arg, j_arg, substitute(value))
32. └─tibble:::tbl_subassign_row(xj, i, value, i_arg, value_arg, call)
33. ├─base::withCallingHandlers(...)
34. └─tibble:::vectbl_assign(x[[j]], i, recycled_value[[j]])
── Error ('test-earth.R:47:3'): simple binomial works ──────────────────────────
Error in `vectbl_assign(x[[j]], i, recycled_value[[j]])`: DLL requires the use of native symbols
Backtrace:
▆
1. ├─testthat::expect_false(...) at test-earth.R:47:2
2. │ └─testthat::quasi_label(enquo(object), label, arg = "object")
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─tidypredict (local) test_earth(...)
5. │ ├─tidypredict::tidypredict_test(earth::earth(...), df = .data) at test-earth.R:6:2
6. │ └─tidypredict:::tidypredict_test.default(earth::earth(...), df = .data)
7. │ └─tidypredict:::tidypredict_test_default(...)
8. │ └─tidypredict::tidypredict_to_column(...)
9. │ ├─tidypredict::tidypredict_fit(model)
10. │ └─tidypredict:::tidypredict_fit.earth(model)
11. │ ├─tidypredict::parse_model(model)
12. │ └─tidypredict:::parse_model.earth(model)
13. │ └─tidypredict:::mars_terms(model, is_glm)
14. │ └─... %>% purrr::pluck("final")
15. ├─purrr::pluck(., "final")
16. │ └─purrr:::pluck_raw(.x, list2(...), .default = .default)
17. ├─dplyr::summarize(...)
18. ├─dplyr::group_by(., feature, feature_num)
19. ├─dplyr::mutate(...)
20. ├─dplyr::rowwise(.)
21. ├─dplyr::left_join(., term_to_column, by = "term")
22. ├─dplyr::arrange(., feature_num)
23. ├─dplyr::mutate(...)
24. ├─dplyr::right_join(., feature_coefs, by = "feature")
25. └─dplyr:::right_join.data.frame(., feature_coefs, by = "feature")
26. └─dplyr:::join_mutate(...)
27. ├─base::`[<-`(`*tmp*`, new_rows, merge, value = `<tibble[,1]>`)
28. └─tibble:::`[<-.tbl_df`(`*tmp*`, new_rows, merge, value = `<tibble[,1]>`)
29. └─tibble:::tbl_subassign(x, i, j, value, i_arg, j_arg, substitute(value))
30. └─tibble:::tbl_subassign_row(xj, i, value, i_arg, value_arg, call)
31. ├─base::withCallingHandlers(...)
32. └─tibble:::vectbl_assign(x[[j]], i, recycled_value[[j]])
── Error ('test-earth.R:56:3'): complex binomial w/ degree works ───────────────
Error in `vectbl_assign(x[[j]], i, recycled_value[[j]])`: DLL requires the use of native symbols
Backtrace:
▆
1. ├─testthat::expect_false(...) at test-earth.R:56:2
2. │ └─testthat::quasi_label(enquo(object), label, arg = "object")
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─tidypredict (local) test_earth(...)
5. │ ├─tidypredict::tidypredict_test(earth::earth(...), df = .data) at test-earth.R:6:2
6. │ └─tidypredict:::tidypredict_test.default(earth::earth(...), df = .data)
7. │ └─tidypredict:::tidypredict_test_default(...)
8. │ └─tidypredict::tidypredict_to_column(...)
9. │ ├─tidypredict::tidypredict_fit(model)
10. │ └─tidypredict:::tidypredict_fit.earth(model)
11. │ ├─tidypredict::parse_model(model)
12. │ └─tidypredict:::parse_model.earth(model)
13. │ └─tidypredict:::mars_terms(model, is_glm)
14. │ └─... %>% purrr::pluck("final")
15. ├─purrr::pluck(., "final")
16. │ └─purrr:::pluck_raw(.x, list2(...), .default = .default)
17. ├─dplyr::summarize(...)
18. ├─dplyr::group_by(., feature, feature_num)
19. ├─dplyr::mutate(...)
20. ├─dplyr::rowwise(.)
21. ├─dplyr::left_join(., term_to_column, by = "term")
22. ├─dplyr::arrange(., feature_num)
23. ├─dplyr::mutate(...)
24. ├─dplyr::right_join(., feature_coefs, by = "feature")
25. └─dplyr:::right_join.data.frame(., feature_coefs, by = "feature")
26. └─dplyr:::join_mutate(...)
27. ├─base::`[<-`(`*tmp*`, new_rows, merge, value = `<tibble[,1]>`)
28. └─tibble:::`[<-.tbl_df`(`*tmp*`, new_rows, merge, value = `<tibble[,1]>`)
29. └─tibble:::tbl_subassign(x, i, j, value, i_arg, j_arg, substitute(value))
30. └─tibble:::tbl_subassign_row(xj, i, value, i_arg, value_arg, call)
31. ├─base::withCallingHandlers(...)
32. └─tibble:::vectbl_assign(x[[j]], i, recycled_value[[j]])
── Error ('test-earth.R:66:3'): Most pmethods work ─────────────────────────────
Error in `vectbl_assign(x[[j]], i, recycled_value[[j]])`: DLL requires the use of native symbols
Backtrace:
▆
1. ├─base::lapply(...) at test-earth.R:66:2
2. │ └─tidypredict (local) FUN(X[[i]], ...)
3. │ └─tidypredict (local) test_earth(...) at test-earth.R:69:6
4. │ ├─tidypredict::tidypredict_test(earth::earth(...), df = .data) at test-earth.R:6:2
5. │ └─tidypredict:::tidypredict_test.default(earth::earth(...), df = .data)
6. │ └─tidypredict:::tidypredict_test_default(...)
7. │ └─tidypredict::tidypredict_to_column(...)
8. │ ├─tidypredict::tidypredict_fit(model)
9. │ └─tidypredict:::tidypredict_fit.earth(model)
10. │ ├─tidypredict::parse_model(model)
11. │ └─tidypredict:::parse_model.earth(model)
12. │ └─tidypredict:::mars_terms(model, is_glm)
13. │ └─... %>% purrr::pluck("final")
14. ├─purrr::pluck(., "final")
15. │ └─purrr:::pluck_raw(.x, list2(...), .default = .default)
16. ├─dplyr::summarize(...)
17. ├─dplyr::group_by(., feature, feature_num)
18. ├─dplyr::mutate(...)
19. ├─dplyr::rowwise(.)
20. ├─dplyr::left_join(., term_to_column, by = "term")
21. ├─dplyr::arrange(., feature_num)
22. ├─dplyr::mutate(...)
23. ├─dplyr::right_join(., feature_coefs, by = "feature")
24. └─dplyr:::right_join.data.frame(., feature_coefs, by = "feature")
25. └─dplyr:::join_mutate(...)
26. ├─base::`[<-`(`*tmp*`, new_rows, merge, value = `<tibble[,1]>`)
27. └─tibble:::`[<-.tbl_df`(`*tmp*`, new_rows, merge, value = `<tibble[,1]>`)
28. └─tibble:::tbl_subassign(x, i, j, value, i_arg, j_arg, substitute(value))
29. └─tibble:::tbl_subassign_row(xj, i, value, i_arg, value_arg, call)
30. ├─base::withCallingHandlers(...)
31. └─tibble:::vectbl_assign(x[[j]], i, recycled_value[[j]])
── Error ('test-earth.R:81:3'): first degree earth model with different interfaces ──
Error in `vectbl_assign(x[[j]], i, recycled_value[[j]])`: DLL requires the use of native symbols
Backtrace:
▆
1. ├─rlang::eval_tidy(tidypredict_fit(f_mod_1), iris) at test-earth.R:81:2
2. ├─tidypredict::tidypredict_fit(f_mod_1)
3. ├─tidypredict:::tidypredict_fit.earth(f_mod_1)
4. │ ├─tidypredict::parse_model(model)
5. │ └─tidypredict:::parse_model.earth(model)
6. │ └─tidypredict:::mars_terms(model, is_glm)
7. │ └─... %>% purrr::pluck("final")
8. ├─purrr::pluck(., "final")
9. │ └─purrr:::pluck_raw(.x, list2(...), .default = .default)
10. ├─dplyr::summarize(...)
11. ├─dplyr::group_by(., feature, feature_num)
12. ├─dplyr::mutate(...)
13. ├─dplyr::rowwise(.)
14. ├─dplyr::left_join(., term_to_column, by = "term")
15. ├─dplyr::arrange(., feature_num)
16. ├─dplyr::mutate(...)
17. ├─dplyr::right_join(., feature_coefs, by = "feature")
18. └─dplyr:::right_join.data.frame(., feature_coefs, by = "feature")
19. └─dplyr:::join_mutate(...)
20. ├─base::`[<-`(`*tmp*`, new_rows, merge, value = `<tibble[,1]>`)
21. └─tibble:::`[<-.tbl_df`(`*tmp*`, new_rows, merge, value = `<tibble[,1]>`)
22. └─tibble:::tbl_subassign(x, i, j, value, i_arg, j_arg, substitute(value))
23. └─tibble:::tbl_subassign_row(xj, i, value, i_arg, value_arg, call)
24. ├─base::withCallingHandlers(...)
25. └─tibble:::vectbl_assign(x[[j]], i, recycled_value[[j]])
── Error ('test-earth.R:94:3'): 2nd degree earth model with different interfaces ──
Error in `vectbl_assign(x[[j]], i, recycled_value[[j]])`: DLL requires the use of native symbols
Backtrace:
▆
1. ├─rlang::eval_tidy(tidypredict_fit(f_mod_2), iris) at test-earth.R:94:2
2. ├─tidypredict::tidypredict_fit(f_mod_2)
3. ├─tidypredict:::tidypredict_fit.earth(f_mod_2)
4. │ ├─tidypredict::parse_model(model)
5. │ └─tidypredict:::parse_model.earth(model)
6. │ └─tidypredict:::mars_terms(model, is_glm)
7. │ └─... %>% purrr::pluck("final")
8. ├─purrr::pluck(., "final")
9. │ └─purrr:::pluck_raw(.x, list2(...), .default = .default)
10. ├─dplyr::summarize(...)
11. ├─dplyr::group_by(., feature, feature_num)
12. ├─dplyr::mutate(...)
13. ├─dplyr::rowwise(.)
14. ├─dplyr::left_join(., term_to_column, by = "term")
15. ├─dplyr::arrange(., feature_num)
16. ├─dplyr::mutate(...)
17. ├─dplyr::right_join(., feature_coefs, by = "feature")
18. └─dplyr:::right_join.data.frame(., feature_coefs, by = "feature")
19. └─dplyr:::join_mutate(...)
20. ├─base::`[<-`(`*tmp*`, new_rows, merge, value = `<tibble[,1]>`)
21. └─tibble:::`[<-.tbl_df`(`*tmp*`, new_rows, merge, value = `<tibble[,1]>`)
22. └─tibble:::tbl_subassign(x, i, j, value, i_arg, j_arg, substitute(value))
23. └─tibble:::tbl_subassign_row(xj, i, value, i_arg, value_arg, call)
24. ├─base::withCallingHandlers(...)
25. └─tibble:::vectbl_assign(x[[j]], i, recycled_value[[j]])
── Error ('test-earth.R:115:3'): Tests with parsnip returns no alert ───────────
Error in `vectbl_assign(x[[j]], i, recycled_value[[j]])`: DLL requires the use of native symbols
Backtrace:
▆
1. ├─testthat::expect_false(...) at test-earth.R:115:2
2. │ └─testthat::quasi_label(enquo(object), label, arg = "object")
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─tidypredict::tidypredict_test(...)
5. ├─tidypredict:::tidypredict_test.model_fit(...)
6. │ ├─tidypredict::tidypredict_test(...)
7. │ └─tidypredict:::tidypredict_test.default(...)
8. │ └─tidypredict:::tidypredict_test_default(...)
9. │ └─tidypredict::tidypredict_to_column(...)
10. │ ├─tidypredict::tidypredict_fit(model)
11. │ └─tidypredict:::tidypredict_fit.earth(model)
12. │ ├─tidypredict::parse_model(model)
13. │ └─tidypredict:::parse_model.earth(model)
14. │ └─tidypredict:::mars_terms(model, is_glm)
15. │ └─... %>% purrr::pluck("final")
16. ├─purrr::pluck(., "final")
17. │ └─purrr:::pluck_raw(.x, list2(...), .default = .default)
18. ├─dplyr::summarize(...)
19. ├─dplyr::group_by(., feature, feature_num)
20. ├─dplyr::mutate(...)
21. ├─dplyr::rowwise(.)
22. ├─dplyr::left_join(., term_to_column, by = "term")
23. ├─dplyr::arrange(., feature_num)
24. ├─dplyr::mutate(...)
25. ├─dplyr::right_join(., feature_coefs, by = "feature")
26. └─dplyr:::right_join.data.frame(., feature_coefs, by = "feature")
27. └─dplyr:::join_mutate(...)
28. ├─base::`[<-`(`*tmp*`, new_rows, merge, value = `<tibble[,1]>`)
29. └─tibble:::`[<-.tbl_df`(`*tmp*`, new_rows, merge, value = `<tibble[,1]>`)
30. └─tibble:::tbl_subassign(x, i, j, value, i_arg, j_arg, substitute(value))
31. └─tibble:::tbl_subassign_row(xj, i, value, i_arg, value_arg, call)
32. ├─base::withCallingHandlers(...)
33. └─tibble:::vectbl_assign(x[[j]], i, recycled_value[[j]])
── Error ('test-earth.R:163:3'): Model can be saved and re-loaded ──────────────
Error in `vectbl_assign(x[[j]], i, recycled_value[[j]])`: DLL requires the use of native symbols
Backtrace:
▆
1. ├─yaml::write_yaml(parse_model(model), mp) at test-earth.R:163:2
2. │ └─yaml::as.yaml(x, ...)
3. ├─tidypredict::parse_model(model)
4. ├─tidypredict:::parse_model.earth(model)
5. │ └─tidypredict:::mars_terms(model, is_glm)
6. │ └─... %>% purrr::pluck("final")
7. ├─purrr::pluck(., "final")
8. │ └─purrr:::pluck_raw(.x, list2(...), .default = .default)
9. ├─dplyr::summarize(...)
10. ├─dplyr::group_by(., feature, feature_num)
11. ├─dplyr::mutate(...)
12. ├─dplyr::rowwise(.)
13. ├─dplyr::left_join(., term_to_column, by = "term")
14. ├─dplyr::arrange(., feature_num)
15. ├─dplyr::mutate(...)
16. ├─dplyr::right_join(., feature_coefs, by = "feature")
17. └─dplyr:::right_join.data.frame(., feature_coefs, by = "feature")
18. └─dplyr:::join_mutate(...)
19. ├─base::`[<-`(`*tmp*`, new_rows, merge, value = `<tibble[,1]>`)
20. └─tibble:::`[<-.tbl_df`(`*tmp*`, new_rows, merge, value = `<tibble[,1]>`)
21. └─tibble:::tbl_subassign(x, i, j, value, i_arg, j_arg, substitute(value))
22. └─tibble:::tbl_subassign_row(xj, i, value, i_arg, value_arg, call)
23. ├─base::withCallingHandlers(...)
24. └─tibble:::vectbl_assign(x[[j]], i, recycled_value[[j]])
[ FAIL 11 | WARN 1 | SKIP 10 | PASS 91 ]
Error: Test failures
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.5
Check: re-building of vignette outputs
Result: ERROR
Error(s) in re-building vignettes:
...
--- re-building ‘cubist.Rmd’ using rmarkdown
--- finished re-building ‘cubist.Rmd’
--- re-building ‘glm.Rmd’ using rmarkdown
--- finished re-building ‘glm.Rmd’
--- re-building ‘lm.Rmd’ using rmarkdown
--- finished re-building ‘lm.Rmd’
--- re-building ‘mars.Rmd’ using rmarkdown
Quitting from lines 40-41 (mars.Rmd)
Error: processing vignette ‘mars.Rmd’ failed with diagnostics:
DLL requires the use of native symbols
--- failed re-building ‘mars.Rmd’
--- re-building ‘non-r.Rmd’ using rmarkdown
--- finished re-building ‘non-r.Rmd’
--- re-building ‘ranger.Rmd’ using rmarkdown
--- finished re-building ‘ranger.Rmd’
--- re-building ‘regression.Rmd’ using rmarkdown
--- finished re-building ‘regression.Rmd’
--- re-building ‘rf.Rmd’ using rmarkdown
--- finished re-building ‘rf.Rmd’
--- re-building ‘save.Rmd’ using rmarkdown
--- finished re-building ‘save.Rmd’
--- re-building ‘sql.Rmd’ using rmarkdown
--- finished re-building ‘sql.Rmd’
--- re-building ‘tree.Rmd’ using rmarkdown
--- finished re-building ‘tree.Rmd’
--- re-building ‘xgboost.Rmd’ using rmarkdown
--- finished re-building ‘xgboost.Rmd’
SUMMARY: processing the following file failed:
‘mars.Rmd’
Error: Vignette re-building failed.
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc