Last updated on 2019-09-28 14:46:20 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.1.2 | 13.40 | 212.32 | 225.72 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.1.2 | 12.17 | 205.31 | 217.48 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.1.2 | 239.66 | ERROR | |||
| r-devel-linux-x86_64-fedora-gcc | 0.1.2 | 264.77 | ERROR | |||
| r-devel-windows-ix86+x86_64 | 0.1.2 | 49.00 | 262.00 | 311.00 | ERROR | |
| r-patched-linux-x86_64 | 0.1.2 | 12.66 | 202.44 | 215.10 | ERROR | |
| r-patched-solaris-x86 | 0.1.2 | 316.30 | ERROR | |||
| r-release-linux-x86_64 | 0.1.2 | 11.94 | 209.84 | 221.78 | ERROR | |
| r-release-windows-ix86+x86_64 | 0.1.2 | 52.00 | 257.00 | 309.00 | ERROR | |
| r-release-osx-x86_64 | 0.1.2 | OK | ||||
| r-oldrel-windows-ix86+x86_64 | 0.1.2 | 24.00 | 245.00 | 269.00 | ERROR | |
| r-oldrel-osx-x86_64 | 0.1.2 | OK |
Version: 0.1.2
Check: examples
Result: ERROR
Running examples in 'collector-Ex.R' failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: prepare_data
> ### Title: Create one or more quantitative scenarios objects suitable for
> ### simulation by 'evaluator'
> ### Aliases: prepare_data
>
> ### ** Examples
>
> suppressPackageStartupMessages(library(dplyr))
> data(mc_domains, mc_capabilities, mc_scenarios, mc_sme_top_domains,
+ calibration_questions, mc_threat_communities)
> question_set <- tidyrisk_question_set(mc_domains, mc_scenarios, mc_capabilities,
+ calibration_questions, mc_sme_top_domains,
+ mc_threat_communities)
> response_set <- tidyrisk_response_set(mc_calibration_answers,
+ mc_scenario_answers, mc_capability_answers)
> sme_weightings <- generate_weights(question_set, response_set)
> data(mc_scenario_parameters_fitted, mc_capability_parameters_fitted,
+ mc_threat_parameters_fitted)
> scenario_parameters <- left_join(mc_scenario_parameters_fitted, sme_weightings, by = "sme") %>%
+ combine_scenario_parameters()
Warning: All elements of `...` must be named.
Did you want `data = c(meanlog, sdlog, weight, min, max)`?
Warning: The `.drop` argument of `unnest()` is deprecated as of tidyr 1.0.0.
All list-columns are now preserved.
This warning is displayed once per session.
Call `lifecycle::last_warnings()` to see where this warning was generated.
Warning: All elements of `...` must be named.
Did you want `data = c(meanlog, sdlog, weight, min, max)`?
> capability_parameters <- left_join(mc_capability_parameters_fitted, sme_weightings, by = "sme") %>%
+ combine_capability_parameters()
Warning: All elements of `...` must be named.
Did you want `data = c(mean, sd, weight, min, max)`?
> quantitative_scenarios <- prepare_data(scenario_parameters,
+ capability_parameters,
+ mc_threat_parameters_fitted,
+ question_set)
Error: Column `frequency_func` not found in `.data`
Backtrace:
x
1. +-collector::prepare_data(...)
2. | \-`%>%`(...)
3. | +-base::withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
4. | \-base::eval(quote(`_fseq`(`_lhs`)), env, env)
5. | \-base::eval(quote(`_fseq`(`_lhs`)), env, env)
6. | \-collector:::`_fseq`(`_lhs`)
7. | \-magrittr::freduce(value, `_function_list`)
8. | \-function_list[[i]](value)
9. | +-dplyr::select(...)
10. | \-dplyr:::select.grouped_df(...)
11. | \-dplyr:::.select_grouped_df(.data, !!!enquos(...), notify = TRUE)
12. | \-tidyselect::vars_select(tbl_vars(.data), !!!enquos(...))
13. | \-tidyselect:::vars_select_eval(.vars, quos)
14. | \-purrr::map_if(quos, !is_helper, eval_tidy, mask)
15. | \-purrr::map(.x[sel], .f, ...)
16. | \-rlang:::.f(.x[[i]], ...)
17. +-frequen
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 0.1.2
Check: tests
Result: ERROR
Running 'spelling.R' [0s/1s]
Running 'testthat.R' [99s/73s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(collector)
>
> test_check("collector")
-- 1. Error: Scenario objects are created (@test-prepare_data.R#34) -----------
Column `frequency_func` not found in `.data`
1: prepare_data(scenario_parameters, capability_parameters, fitted_threat_communities,
ques) at testthat/test-prepare_data.R:34
2: scenario_parameters %>% dplyr::left_join(questions$scenarios, by = "scenario_id") %>%
dplyr::left_join(questions$domains, by = "domain_id") %>% dplyr::left_join(threat_parameters,
by = "threat_id") %>% dplyr::select(.data$scenario_id, scenario = .data$scenario,
dplyr::starts_with("threat_"), .data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max) %>% tidyr::drop_na()
3: withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
4: eval(quote(`_fseq`(`_lhs`)), env, env)
5: eval(quote(`_fseq`(`_lhs`)), env, env)
6: `_fseq`(`_lhs`)
7: freduce(value, `_function_list`)
8: function_list[[i]](value)
9: dplyr::select(., .data$scenario_id, scenario = .data$scenario, dplyr::starts_with("threat_"),
.data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max)
10: select.grouped_df(., .data$scenario_id, scenario = .data$scenario, dplyr::starts_with("threat_"),
.data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max)
11: .select_grouped_df(.data, !!!enquos(...), notify = TRUE)
12: tidyselect::vars_select(tbl_vars(.data), !!!enquos(...))
13: vars_select_eval(.vars, quos)
14: map_if(quos, !is_helper, eval_tidy, mask)
15: map(.x[sel], .f, ...)
16: .f(.x[[i]], ...)
17: .data$frequency_func
18: `$.rlang_data_pronoun`(.data, frequency_func)
19: data_pronoun_get(x, nm)
20: rlang:::abort_data_pronoun(x)
21: abort(msg, "rlang_error_data_pronoun_not_found")
== testthat results ===========================================================
[ OK: 19 | SKIPPED: 0 | WARNINGS: 9 | FAILED: 1 ]
1. Error: Scenario objects are created (@test-prepare_data.R#34)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 0.1.2
Check: examples
Result: ERROR
Running examples in ‘collector-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: prepare_data
> ### Title: Create one or more quantitative scenarios objects suitable for
> ### simulation by 'evaluator'
> ### Aliases: prepare_data
>
> ### ** Examples
>
> suppressPackageStartupMessages(library(dplyr))
> data(mc_domains, mc_capabilities, mc_scenarios, mc_sme_top_domains,
+ calibration_questions, mc_threat_communities)
> question_set <- tidyrisk_question_set(mc_domains, mc_scenarios, mc_capabilities,
+ calibration_questions, mc_sme_top_domains,
+ mc_threat_communities)
> response_set <- tidyrisk_response_set(mc_calibration_answers,
+ mc_scenario_answers, mc_capability_answers)
> sme_weightings <- generate_weights(question_set, response_set)
> data(mc_scenario_parameters_fitted, mc_capability_parameters_fitted,
+ mc_threat_parameters_fitted)
> scenario_parameters <- left_join(mc_scenario_parameters_fitted, sme_weightings, by = "sme") %>%
+ combine_scenario_parameters()
Warning: All elements of `...` must be named.
Did you want `data = c(meanlog, sdlog, weight, min, max)`?
Warning: The `.drop` argument of `unnest()` is deprecated as of tidyr 1.0.0.
All list-columns are now preserved.
This warning is displayed once per session.
Call `lifecycle::last_warnings()` to see where this warning was generated.
Warning: All elements of `...` must be named.
Did you want `data = c(meanlog, sdlog, weight, min, max)`?
> capability_parameters <- left_join(mc_capability_parameters_fitted, sme_weightings, by = "sme") %>%
+ combine_capability_parameters()
Warning: All elements of `...` must be named.
Did you want `data = c(mean, sd, weight, min, max)`?
> quantitative_scenarios <- prepare_data(scenario_parameters,
+ capability_parameters,
+ mc_threat_parameters_fitted,
+ question_set)
Error: Column `frequency_func` not found in `.data`
Backtrace:
█
1. ├─collector::prepare_data(...)
2. │ └─`%>%`(...)
3. │ ├─base::withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
4. │ └─base::eval(quote(`_fseq`(`_lhs`)), env, env)
5. │ └─base::eval(quote(`_fseq`(`_lhs`)), env, env)
6. │ └─collector:::`_fseq`(`_lhs`)
7. │ └─magrittr::freduce(value, `_function_list`)
8. │ └─function_list[[i]](value)
9. │ ├─dplyr::select(...)
10. │ └─dplyr:::select.grouped_df(...)
11. │ └─dplyr:::.select_grouped_df(.data, !!!enquos(...), notify = TRUE)
12. │ └─tidyselect::vars_select(tbl_vars(.data), !!!enquos(...))
13. │ └─tidyselect:::vars_select_eval(.vars, quos)
14. │ └─purrr::map_if(quos, !is_helper, eval_tidy, mask)
15. │ └─purrr::map(
Execution halted
Flavors: r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64, r-release-linux-x86_64
Version: 0.1.2
Check: tests
Result: ERROR
Running ‘spelling.R’ [0s/1s]
Running ‘testthat.R’ [118s/134s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(collector)
>
> test_check("collector")
── 1. Error: Scenario objects are created (@test-prepare_data.R#34) ───────────
Column `frequency_func` not found in `.data`
1: prepare_data(scenario_parameters, capability_parameters, fitted_threat_communities,
ques) at testthat/test-prepare_data.R:34
2: scenario_parameters %>% dplyr::left_join(questions$scenarios, by = "scenario_id") %>%
dplyr::left_join(questions$domains, by = "domain_id") %>% dplyr::left_join(threat_parameters,
by = "threat_id") %>% dplyr::select(.data$scenario_id, scenario = .data$scenario,
dplyr::starts_with("threat_"), .data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max) %>% tidyr::drop_na()
3: withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
4: eval(quote(`_fseq`(`_lhs`)), env, env)
5: eval(quote(`_fseq`(`_lhs`)), env, env)
6: `_fseq`(`_lhs`)
7: freduce(value, `_function_list`)
8: function_list[[i]](value)
9: dplyr::select(., .data$scenario_id, scenario = .data$scenario, dplyr::starts_with("threat_"),
.data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max)
10: select.grouped_df(., .data$scenario_id, scenario = .data$scenario, dplyr::starts_with("threat_"),
.data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max)
11: .select_grouped_df(.data, !!!enquos(...), notify = TRUE)
12: tidyselect::vars_select(tbl_vars(.data), !!!enquos(...))
13: vars_select_eval(.vars, quos)
14: map_if(quos, !is_helper, eval_tidy, mask)
15: map(.x[sel], .f, ...)
16: .f(.x[[i]], ...)
17: .data$frequency_func
18: `$.rlang_data_pronoun`(.data, frequency_func)
19: data_pronoun_get(x, nm)
20: rlang:::abort_data_pronoun(x)
21: abort(msg, "rlang_error_data_pronoun_not_found")
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 19 | SKIPPED: 0 | WARNINGS: 9 | FAILED: 1 ]
1. Error: Scenario objects are created (@test-prepare_data.R#34)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.1.2
Check: examples
Result: ERROR
Running examples in ‘collector-Ex.R’ failed
The error most likely occurred in:
> ### Name: prepare_data
> ### Title: Create one or more quantitative scenarios objects suitable for
> ### simulation by 'evaluator'
> ### Aliases: prepare_data
>
> ### ** Examples
>
> suppressPackageStartupMessages(library(dplyr))
> data(mc_domains, mc_capabilities, mc_scenarios, mc_sme_top_domains,
+ calibration_questions, mc_threat_communities)
> question_set <- tidyrisk_question_set(mc_domains, mc_scenarios, mc_capabilities,
+ calibration_questions, mc_sme_top_domains,
+ mc_threat_communities)
> response_set <- tidyrisk_response_set(mc_calibration_answers,
+ mc_scenario_answers, mc_capability_answers)
> sme_weightings <- generate_weights(question_set, response_set)
> data(mc_scenario_parameters_fitted, mc_capability_parameters_fitted,
+ mc_threat_parameters_fitted)
> scenario_parameters <- left_join(mc_scenario_parameters_fitted, sme_weightings, by = "sme") %>%
+ combine_scenario_parameters()
Warning: All elements of `...` must be named.
Did you want `data = c(meanlog, sdlog, weight, min, max)`?
Warning: The `.drop` argument of `unnest()` is deprecated as of tidyr 1.0.0.
All list-columns are now preserved.
This warning is displayed once per session.
Call `lifecycle::last_warnings()` to see where this warning was generated.
Warning: All elements of `...` must be named.
Did you want `data = c(meanlog, sdlog, weight, min, max)`?
> capability_parameters <- left_join(mc_capability_parameters_fitted, sme_weightings, by = "sme") %>%
+ combine_capability_parameters()
Warning: All elements of `...` must be named.
Did you want `data = c(mean, sd, weight, min, max)`?
> quantitative_scenarios <- prepare_data(scenario_parameters,
+ capability_parameters,
+ mc_threat_parameters_fitted,
+ question_set)
Error: Column `frequency_func` not found in `.data`
Backtrace:
█
1. ├─collector::prepare_data(...)
2. │ └─`%>%`(...)
3. │ ├─base::withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
4. │ └─base::eval(quote(`_fseq`(`_lhs`)), env, env)
5. │ └─base::eval(quote(`_fseq`(`_lhs`)), env, env)
6. │ └─collector:::`_fseq`(`_lhs`)
7. │ └─magrittr::freduce(value, `_function_list`)
8. │ └─function_list[[i]](value)
9. │ ├─dplyr::select(...)
10. │ └─dplyr:::select.grouped_df(...)
11. │ └─dplyr:::.select_grouped_df(.data, !!!enquos(...), notify = TRUE)
12. │ └─tidyselect::vars_select(tbl_vars(.data), !!!enquos(...))
13. │ └─tidyselect:::vars_select_eval(.vars, quos)
14. │ └─purrr::map_if(quos, !is_helper, eval_tidy, mask)
15. │ └─purrr::map(
Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-patched-solaris-x86
Version: 0.1.2
Check: tests
Result: ERROR
Running ‘spelling.R’
Running ‘testthat.R’ [91s/87s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(collector)
>
> test_check("collector")
── 1. Error: Scenario objects are created (@test-prepare_data.R#34) ───────────
Column `frequency_func` not found in `.data`
1: prepare_data(scenario_parameters, capability_parameters, fitted_threat_communities,
ques) at testthat/test-prepare_data.R:34
2: scenario_parameters %>% dplyr::left_join(questions$scenarios, by = "scenario_id") %>%
dplyr::left_join(questions$domains, by = "domain_id") %>% dplyr::left_join(threat_parameters,
by = "threat_id") %>% dplyr::select(.data$scenario_id, scenario = .data$scenario,
dplyr::starts_with("threat_"), .data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max) %>% tidyr::drop_na()
3: withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
4: eval(quote(`_fseq`(`_lhs`)), env, env)
5: eval(quote(`_fseq`(`_lhs`)), env, env)
6: `_fseq`(`_lhs`)
7: freduce(value, `_function_list`)
8: function_list[[i]](value)
9: dplyr::select(., .data$scenario_id, scenario = .data$scenario, dplyr::starts_with("threat_"),
.data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max)
10: select.grouped_df(., .data$scenario_id, scenario = .data$scenario, dplyr::starts_with("threat_"),
.data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max)
11: .select_grouped_df(.data, !!!enquos(...), notify = TRUE)
12: tidyselect::vars_select(tbl_vars(.data), !!!enquos(...))
13: vars_select_eval(.vars, quos)
14: map_if(quos, !is_helper, eval_tidy, mask)
15: map(.x[sel], .f, ...)
16: .f(.x[[i]], ...)
17: .data$frequency_func
18: `$.rlang_data_pronoun`(.data, frequency_func)
19: data_pronoun_get(x, nm)
20: rlang:::abort_data_pronoun(x)
21: abort(msg, "rlang_error_data_pronoun_not_found")
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 19 | SKIPPED: 0 | WARNINGS: 9 | FAILED: 1 ]
1. Error: Scenario objects are created (@test-prepare_data.R#34)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 0.1.2
Check: tests
Result: ERROR
Running ‘spelling.R’
Running ‘testthat.R’ [103s/199s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(collector)
>
> test_check("collector")
── 1. Error: Scenario objects are created (@test-prepare_data.R#34) ───────────
Column `frequency_func` not found in `.data`
1: prepare_data(scenario_parameters, capability_parameters, fitted_threat_communities,
ques) at testthat/test-prepare_data.R:34
2: scenario_parameters %>% dplyr::left_join(questions$scenarios, by = "scenario_id") %>%
dplyr::left_join(questions$domains, by = "domain_id") %>% dplyr::left_join(threat_parameters,
by = "threat_id") %>% dplyr::select(.data$scenario_id, scenario = .data$scenario,
dplyr::starts_with("threat_"), .data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max) %>% tidyr::drop_na()
3: withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
4: eval(quote(`_fseq`(`_lhs`)), env, env)
5: eval(quote(`_fseq`(`_lhs`)), env, env)
6: `_fseq`(`_lhs`)
7: freduce(value, `_function_list`)
8: function_list[[i]](value)
9: dplyr::select(., .data$scenario_id, scenario = .data$scenario, dplyr::starts_with("threat_"),
.data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max)
10: select.grouped_df(., .data$scenario_id, scenario = .data$scenario, dplyr::starts_with("threat_"),
.data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max)
11: .select_grouped_df(.data, !!!enquos(...), notify = TRUE)
12: tidyselect::vars_select(tbl_vars(.data), !!!enquos(...))
13: vars_select_eval(.vars, quos)
14: map_if(quos, !is_helper, eval_tidy, mask)
15: map(.x[sel], .f, ...)
16: .f(.x[[i]], ...)
17: .data$frequency_func
18: `$.rlang_data_pronoun`(.data, frequency_func)
19: data_pronoun_get(x, nm)
20: rlang:::abort_data_pronoun(x)
21: abort(msg, "rlang_error_data_pronoun_not_found")
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 19 | SKIPPED: 0 | WARNINGS: 9 | FAILED: 1 ]
1. Error: Scenario objects are created (@test-prepare_data.R#34)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 0.1.2
Check: examples
Result: ERROR
Running examples in 'collector-Ex.R' failed
The error most likely occurred in:
> ### Name: prepare_data
> ### Title: Create one or more quantitative scenarios objects suitable for
> ### simulation by 'evaluator'
> ### Aliases: prepare_data
>
> ### ** Examples
>
> suppressPackageStartupMessages(library(dplyr))
> data(mc_domains, mc_capabilities, mc_scenarios, mc_sme_top_domains,
+ calibration_questions, mc_threat_communities)
> question_set <- tidyrisk_question_set(mc_domains, mc_scenarios, mc_capabilities,
+ calibration_questions, mc_sme_top_domains,
+ mc_threat_communities)
> response_set <- tidyrisk_response_set(mc_calibration_answers,
+ mc_scenario_answers, mc_capability_answers)
> sme_weightings <- generate_weights(question_set, response_set)
> data(mc_scenario_parameters_fitted, mc_capability_parameters_fitted,
+ mc_threat_parameters_fitted)
> scenario_parameters <- left_join(mc_scenario_parameters_fitted, sme_weightings, by = "sme") %>%
+ combine_scenario_parameters()
Warning: All elements of `...` must be named.
Did you want `data = c(meanlog, sdlog, weight, min, max)`?
Warning: The `.drop` argument of `unnest()` is deprecated as of tidyr 1.0.0.
All list-columns are now preserved.
This warning is displayed once per session.
Call `lifecycle::last_warnings()` to see where this warning was generated.
Warning: All elements of `...` must be named.
Did you want `data = c(meanlog, sdlog, weight, min, max)`?
> capability_parameters <- left_join(mc_capability_parameters_fitted, sme_weightings, by = "sme") %>%
+ combine_capability_parameters()
Warning: All elements of `...` must be named.
Did you want `data = c(mean, sd, weight, min, max)`?
> quantitative_scenarios <- prepare_data(scenario_parameters,
+ capability_parameters,
+ mc_threat_parameters_fitted,
+ question_set)
Error: Column `frequency_func` not found in `.data`
Backtrace:
x
1. +-collector::prepare_data(...)
2. | \-`%>%`(...)
3. | +-base::withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
4. | \-base::eval(quote(`_fseq`(`_lhs`)), env, env)
5. | \-base::eval(quote(`_fseq`(`_lhs`)), env, env)
6. | \-collector:::`_fseq`(`_lhs`)
7. | \-magrittr::freduce(value, `_function_list`)
8. | \-function_list[[i]](value)
9. | +-dplyr::select(...)
10. | \-dplyr:::select.grouped_df(...)
11. | \-dplyr:::.select_grouped_df(.data, !!!enquos(...), notify = TRUE)
12. | \-tidyselect::vars_select(tbl_vars(.data), !!!enquos(...))
13. | \-tidyselect:::vars_select_eval(.vars, quos)
14. | \-purrr::map_if(quos, !is_helper, eval_tidy, mask)
15. | \-purrr::map(.x[sel], .f, ...)
16. | \-rlang:::.f(.x[[i]], ...)
17. +-frequen
Execution halted
Flavors: r-devel-windows-ix86+x86_64, r-release-windows-ix86+x86_64, r-oldrel-windows-ix86+x86_64
Version: 0.1.2
Check: tests
Result: ERROR
Running 'spelling.R' [1s]
Running 'testthat.R' [73s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(collector)
>
> test_check("collector")
-- 1. Error: Scenario objects are created (@test-prepare_data.R#34) -----------
Column `frequency_func` not found in `.data`
1: prepare_data(scenario_parameters, capability_parameters, fitted_threat_communities,
ques) at testthat/test-prepare_data.R:34
2: scenario_parameters %>% dplyr::left_join(questions$scenarios, by = "scenario_id") %>%
dplyr::left_join(questions$domains, by = "domain_id") %>% dplyr::left_join(threat_parameters,
by = "threat_id") %>% dplyr::select(.data$scenario_id, scenario = .data$scenario,
dplyr::starts_with("threat_"), .data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max) %>% tidyr::drop_na()
3: withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
4: eval(quote(`_fseq`(`_lhs`)), env, env)
5: eval(quote(`_fseq`(`_lhs`)), env, env)
6: `_fseq`(`_lhs`)
7: freduce(value, `_function_list`)
8: function_list[[i]](value)
9: dplyr::select(., .data$scenario_id, scenario = .data$scenario, dplyr::starts_with("threat_"),
.data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max)
10: select.grouped_df(., .data$scenario_id, scenario = .data$scenario, dplyr::starts_with("threat_"),
.data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max)
11: .select_grouped_df(.data, !!!enquos(...), notify = TRUE)
12: tidyselect::vars_select(tbl_vars(.data), !!!enquos(...))
13: vars_select_eval(.vars, quos)
14: map_if(quos, !is_helper, eval_tidy, mask)
15: map(.x[sel], .f, ...)
16: .f(.x[[i]], ...)
17: .data$frequency_func
18: `$.rlang_data_pronoun`(.data, frequency_func)
19: data_pronoun_get(x, nm)
20: rlang:::abort_data_pronoun(x)
21: abort(msg, "rlang_error_data_pronoun_not_found")
== testthat results ===========================================================
[ OK: 19 | SKIPPED: 0 | WARNINGS: 9 | FAILED: 1 ]
1. Error: Scenario objects are created (@test-prepare_data.R#34)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-windows-ix86+x86_64
Version: 0.1.2
Check: tests
Result: ERROR
Running ‘spelling.R’ [0s/0s]
Running ‘testthat.R’ [95s/94s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(collector)
>
> test_check("collector")
── 1. Error: Scenario objects are created (@test-prepare_data.R#34) ───────────
Column `frequency_func` not found in `.data`
1: prepare_data(scenario_parameters, capability_parameters, fitted_threat_communities,
ques) at testthat/test-prepare_data.R:34
2: scenario_parameters %>% dplyr::left_join(questions$scenarios, by = "scenario_id") %>%
dplyr::left_join(questions$domains, by = "domain_id") %>% dplyr::left_join(threat_parameters,
by = "threat_id") %>% dplyr::select(.data$scenario_id, scenario = .data$scenario,
dplyr::starts_with("threat_"), .data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max) %>% tidyr::drop_na()
3: withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
4: eval(quote(`_fseq`(`_lhs`)), env, env)
5: eval(quote(`_fseq`(`_lhs`)), env, env)
6: `_fseq`(`_lhs`)
7: freduce(value, `_function_list`)
8: function_list[[i]](value)
9: dplyr::select(., .data$scenario_id, scenario = .data$scenario, dplyr::starts_with("threat_"),
.data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max)
10: select.grouped_df(., .data$scenario_id, scenario = .data$scenario, dplyr::starts_with("threat_"),
.data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max)
11: .select_grouped_df(.data, !!!enquos(...), notify = TRUE)
12: tidyselect::vars_select(tbl_vars(.data), !!!enquos(...))
13: vars_select_eval(.vars, quos)
14: map_if(quos, !is_helper, eval_tidy, mask)
15: map(.x[sel], .f, ...)
16: .f(.x[[i]], ...)
17: .data$frequency_func
18: `$.rlang_data_pronoun`(.data, frequency_func)
19: data_pronoun_get(x, nm)
20: rlang:::abort_data_pronoun(x)
21: abort(msg, "rlang_error_data_pronoun_not_found")
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 19 | SKIPPED: 0 | WARNINGS: 9 | FAILED: 1 ]
1. Error: Scenario objects are created (@test-prepare_data.R#34)
Error: testthat unit tests failed
Execution halted
Flavor: r-patched-linux-x86_64
Version: 0.1.2
Check: tests
Result: ERROR
Running ‘spelling.R’
Running ‘testthat.R’ [91s/125s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(collector)
>
> test_check("collector")
── 1. Error: Scenario objects are created (@test-prepare_data.R#34) ───────────
Column `frequency_func` not found in `.data`
1: prepare_data(scenario_parameters, capability_parameters, fitted_threat_communities,
ques) at testthat/test-prepare_data.R:34
2: scenario_parameters %>% dplyr::left_join(questions$scenarios, by = "scenario_id") %>%
dplyr::left_join(questions$domains, by = "domain_id") %>% dplyr::left_join(threat_parameters,
by = "threat_id") %>% dplyr::select(.data$scenario_id, scenario = .data$scenario,
dplyr::starts_with("threat_"), .data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max) %>% tidyr::drop_na()
3: withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
4: eval(quote(`_fseq`(`_lhs`)), env, env)
5: eval(quote(`_fseq`(`_lhs`)), env, env)
6: `_fseq`(`_lhs`)
7: freduce(value, `_function_list`)
8: function_list[[i]](value)
9: dplyr::select(., .data$scenario_id, scenario = .data$scenario, dplyr::starts_with("threat_"),
.data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max)
10: select.grouped_df(., .data$scenario_id, scenario = .data$scenario, dplyr::starts_with("threat_"),
.data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max)
11: .select_grouped_df(.data, !!!enquos(...), notify = TRUE)
12: tidyselect::vars_select(tbl_vars(.data), !!!enquos(...))
13: vars_select_eval(.vars, quos)
14: map_if(quos, !is_helper, eval_tidy, mask)
15: map(.x[sel], .f, ...)
16: .f(.x[[i]], ...)
17: .data$frequency_func
18: `$.rlang_data_pronoun`(.data, frequency_func)
19: data_pronoun_get(x, nm)
20: rlang:::abort_data_pronoun(x)
21: abort(msg, "rlang_error_data_pronoun_not_found")
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 18 | SKIPPED: 1 | WARNINGS: 9 | FAILED: 1 ]
1. Error: Scenario objects are created (@test-prepare_data.R#34)
Error: testthat unit tests failed
Execution halted
Flavor: r-patched-solaris-x86
Version: 0.1.2
Check: tests
Result: ERROR
Running ‘spelling.R’ [0s/1s]
Running ‘testthat.R’ [102s/102s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(collector)
>
> test_check("collector")
── 1. Error: Scenario objects are created (@test-prepare_data.R#34) ───────────
Column `frequency_func` not found in `.data`
1: prepare_data(scenario_parameters, capability_parameters, fitted_threat_communities,
ques) at testthat/test-prepare_data.R:34
2: scenario_parameters %>% dplyr::left_join(questions$scenarios, by = "scenario_id") %>%
dplyr::left_join(questions$domains, by = "domain_id") %>% dplyr::left_join(threat_parameters,
by = "threat_id") %>% dplyr::select(.data$scenario_id, scenario = .data$scenario,
dplyr::starts_with("threat_"), .data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max) %>% tidyr::drop_na()
3: withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
4: eval(quote(`_fseq`(`_lhs`)), env, env)
5: eval(quote(`_fseq`(`_lhs`)), env, env)
6: `_fseq`(`_lhs`)
7: freduce(value, `_function_list`)
8: function_list[[i]](value)
9: dplyr::select(., .data$scenario_id, scenario = .data$scenario, dplyr::starts_with("threat_"),
.data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max)
10: select.grouped_df(., .data$scenario_id, scenario = .data$scenario, dplyr::starts_with("threat_"),
.data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max)
11: .select_grouped_df(.data, !!!enquos(...), notify = TRUE)
12: tidyselect::vars_select(tbl_vars(.data), !!!enquos(...))
13: vars_select_eval(.vars, quos)
14: map_if(quos, !is_helper, eval_tidy, mask)
15: map(.x[sel], .f, ...)
16: .f(.x[[i]], ...)
17: .data$frequency_func
18: `$.rlang_data_pronoun`(.data, frequency_func)
19: data_pronoun_get(x, nm)
20: rlang:::abort_data_pronoun(x)
21: abort(msg, "rlang_error_data_pronoun_not_found")
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 19 | SKIPPED: 0 | WARNINGS: 9 | FAILED: 1 ]
1. Error: Scenario objects are created (@test-prepare_data.R#34)
Error: testthat unit tests failed
Execution halted
Flavor: r-release-linux-x86_64
Version: 0.1.2
Check: tests
Result: ERROR
Running 'spelling.R' [0s]
Running 'testthat.R' [71s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(collector)
>
> test_check("collector")
-- 1. Error: Scenario objects are created (@test-prepare_data.R#34) -----------
Column `frequency_func` not found in `.data`
1: prepare_data(scenario_parameters, capability_parameters, fitted_threat_communities,
ques) at testthat/test-prepare_data.R:34
2: scenario_parameters %>% dplyr::left_join(questions$scenarios, by = "scenario_id") %>%
dplyr::left_join(questions$domains, by = "domain_id") %>% dplyr::left_join(threat_parameters,
by = "threat_id") %>% dplyr::select(.data$scenario_id, scenario = .data$scenario,
dplyr::starts_with("threat_"), .data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max) %>% tidyr::drop_na()
3: withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
4: eval(quote(`_fseq`(`_lhs`)), env, env)
5: eval(quote(`_fseq`(`_lhs`)), env, env)
6: `_fseq`(`_lhs`)
7: freduce(value, `_function_list`)
8: function_list[[i]](value)
9: dplyr::select(., .data$scenario_id, scenario = .data$scenario, dplyr::starts_with("threat_"),
.data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max)
10: select.grouped_df(., .data$scenario_id, scenario = .data$scenario, dplyr::starts_with("threat_"),
.data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max)
11: .select_grouped_df(.data, !!!enquos(...), notify = TRUE)
12: tidyselect::vars_select(tbl_vars(.data), !!!enquos(...))
13: vars_select_eval(.vars, quos)
14: map_if(quos, !is_helper, eval_tidy, mask)
15: map(.x[sel], .f, ...)
16: .f(.x[[i]], ...)
17: .data$frequency_func
18: `$.rlang_data_pronoun`(.data, frequency_func)
19: data_pronoun_get(x, nm)
20: rlang:::abort_data_pronoun(x)
21: abort(msg, "rlang_error_data_pronoun_not_found")
== testthat results ===========================================================
[ OK: 19 | SKIPPED: 0 | WARNINGS: 9 | FAILED: 1 ]
1. Error: Scenario objects are created (@test-prepare_data.R#34)
Error: testthat unit tests failed
Execution halted
Flavor: r-release-windows-ix86+x86_64
Version: 0.1.2
Check: tests
Result: ERROR
Running 'spelling.R' [0s]
Running 'testthat.R' [75s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(collector)
>
> test_check("collector")
-- 1. Error: Scenario objects are created (@test-prepare_data.R#34) -----------
Column `frequency_func` not found in `.data`
1: prepare_data(scenario_parameters, capability_parameters, fitted_threat_communities,
ques) at testthat/test-prepare_data.R:34
2: scenario_parameters %>% dplyr::left_join(questions$scenarios, by = "scenario_id") %>%
dplyr::left_join(questions$domains, by = "domain_id") %>% dplyr::left_join(threat_parameters,
by = "threat_id") %>% dplyr::select(.data$scenario_id, scenario = .data$scenario,
dplyr::starts_with("threat_"), .data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max) %>% tidyr::drop_na()
3: withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
4: eval(quote(`_fseq`(`_lhs`)), env, env)
5: eval(quote(`_fseq`(`_lhs`)), env, env)
6: `_fseq`(`_lhs`)
7: freduce(value, `_function_list`)
8: function_list[[i]](value)
9: dplyr::select(., .data$scenario_id, scenario = .data$scenario, dplyr::starts_with("threat_"),
.data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max)
10: select.grouped_df(., .data$scenario_id, scenario = .data$scenario, dplyr::starts_with("threat_"),
.data$domain_id, controls = .data$controls, tef_func = .data$frequency_func,
tef_meanlog = .data$frequency_meanlog, tef_sdlog = .data$frequency_sdlog, lm_func = .data$impact_func,
lm_meanlog = .data$impact_meanlog, lm_sdlog = .data$impact_sdlog, lm_min = .data$impact_min,
lm_max = .data$impact_max)
11: .select_grouped_df(.data, !!!enquos(...), notify = TRUE)
12: tidyselect::vars_select(tbl_vars(.data), !!!enquos(...))
13: vars_select_eval(.vars, quos)
14: map_if(quos, !is_helper, eval_tidy, mask)
15: map(.x[sel], .f, ...)
16: .f(.x[[i]], ...)
17: .data$frequency_func
18: `$.rlang_data_pronoun`(.data, frequency_func)
19: data_pronoun_get(x, nm)
20: rlang:::abort_data_pronoun(x)
21: abort(msg, "rlang_error_data_pronoun_not_found")
== testthat results ===========================================================
[ OK: 19 | SKIPPED: 0 | WARNINGS: 9 | FAILED: 1 ]
1. Error: Scenario objects are created (@test-prepare_data.R#34)
Error: testthat unit tests failed
Execution halted
Flavor: r-oldrel-windows-ix86+x86_64