Package check result: NOTE Check: examples, Result: NOTE Examples with CPU (user + system) or elapsed time > 5s user system elapsed geom_boxplot 5.086 0.032 5.119 Changes to worse in reverse depends: Package: ColombiAPI Check: tests New result: ERROR Running ‘testthat.R’ [18s/25s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(ColombiAPI) > > test_check("ColombiAPI") Error: status 502 Saving _problems/test-get_colombia_hospital_beds-26.R Saving _problems/test-get_colombia_hospital_beds-29.R Saving _problems/test-get_colombia_hospital_beds-32.R Saving _problems/test-get_colombia_hospital_beds-35.R Saving _problems/test-get_colombia_hospital_beds-36.R Saving _problems/test-get_colombia_hospital_beds-37.R Saving _problems/test-get_colombia_hospital_beds-38.R Saving _problems/test-get_colombia_hospital_beds-50.R Saving _problems/test-get_colombia_hospital_beds-53.R Error: status 502 Saving _problems/test-get_colombia_hospital_beds-61.R Error: status 502 Error: status 502 Error: status 502 Error: status 502 Saving _problems/test-get_colombia_hospital_beds-92.R Saving _problems/test-get_colombia_hospital_beds-95.R Error: status 502 Saving _problems/test-get_colombia_hospital_beds-102.R Error: status 502 Error: status 502 Saving _problems/test-get_colombia_population-26.R Saving _problems/test-get_colombia_population-29.R Saving _problems/test-get_colombia_population-32.R Saving _problems/test-get_colombia_population-35.R Saving _problems/test-get_colombia_population-36.R Saving _problems/test-get_colombia_population-37.R Saving _problems/test-get_colombia_population-38.R Saving _problems/test-get_colombia_population-39.R Saving _problems/test-get_colombia_population-51.R Saving _problems/test-get_colombia_population-54.R Error: status 502 Saving _problems/test-get_colombia_population-62.R Error: status 502 Error: status 502 Error: status 502 Error: status 502 Saving _problems/test-get_colombia_population-93.R Saving _problems/test-get_colombia_population-96.R Error: status 502 Saving _problems/test-get_colombia_population-103.R Error: status 502 Error: status 502 Error: status 502 Error: status 502 Saving _problems/test-get_colombia_population-145.R Error: status 502 Error: status 502 Saving _problems/test-get_colombia_unemployment-26.R Saving _problems/test-get_colombia_unemployment-29.R Saving _problems/test-get_colombia_unemployment-32.R Saving _problems/test-get_colombia_unemployment-35.R Saving _problems/test-get_colombia_unemployment-36.R Saving _problems/test-get_colombia_unemployment-37.R Saving _problems/test-get_colombia_unemployment-38.R Saving _problems/test-get_colombia_unemployment-50.R Saving _problems/test-get_colombia_unemployment-53.R Error: status 502 Saving _problems/test-get_colombia_unemployment-61.R Error: status 502 Error: status 502 Error: status 502 Error: status 502 Saving _problems/test-get_colombia_unemployment-92.R Saving _problems/test-get_colombia_unemployment-95.R Error: status 502 Saving _problems/test-get_colombia_unemployment-102.R Error: status 502 Error: status 502 Saving _problems/test-get_colombia_unemployment-120.R Saving _problems/test-get_colombia_unemployment-121.R Error: status 502 Datasets available in the 'ColombiAPI' package: Datasets available in the 'ColombiAPI' package: [ FAIL 43 | WARN 0 | SKIP 190 | PASS 572 ] ══ Skipped tests (190) ═════════════════════════════════════════════════════════ • On CRAN (183): 'test-get_colombia_airports.R:24:3', 'test-get_colombia_airports.R:36:3', 'test-get_colombia_airports.R:51:3', 'test-get_colombia_airports.R:60:3', 'test-get_colombia_airports.R:68:3', 'test-get_colombia_airports.R:80:3', 'test-get_colombia_airports.R:92:3', 'test-get_colombia_airports.R:104:3', 'test-get_colombia_airports.R:112:3', 'test-get_colombia_airports.R:121:3', 'test-get_colombia_airports.R:142:3', 'test-get_colombia_airports.R:156:3', 'test-get_colombia_airports.R:166:3', 'test-get_colombia_airports.R:176:3', 'test-get_colombia_airports.R:186:3', 'test-get_colombia_airports.R:198:3', 'test-get_colombia_attractions.R:24:3', 'test-get_colombia_attractions.R:35:3', 'test-get_colombia_attractions.R:47:3', 'test-get_colombia_attractions.R:55:3', 'test-get_colombia_attractions.R:66:3', 'test-get_colombia_attractions.R:75:3', 'test-get_colombia_attractions.R:84:3', 'test-get_colombia_attractions.R:101:3', 'test-get_colombia_attractions.R:113:3', 'test-get_colombia_attractions.R:123:3', 'test-get_colombia_attractions.R:133:3', 'test-get_colombia_attractions.R:142:3', 'test-get_colombia_attractions.R:152:3', 'test-get_colombia_attractions.R:163:3', 'test-get_colombia_attractions.R:171:3', 'test-get_colombia_attractions.R:185:3', 'test-get_colombia_child_mortality.R:23:3', 'test-get_colombia_child_mortality.R:38:3', 'test-get_colombia_child_mortality.R:47:3', 'test-get_colombia_child_mortality.R:55:3', 'test-get_colombia_child_mortality.R:63:3', 'test-get_colombia_child_mortality.R:71:3', 'test-get_colombia_child_mortality.R:79:3', 'test-get_colombia_cities.R:23:3', 'test-get_colombia_cities.R:34:3', 'test-get_colombia_cities.R:42:3', 'test-get_colombia_cities.R:51:3', 'test-get_colombia_cities.R:63:3', 'test-get_colombia_cities.R:81:3', 'test-get_colombia_cities.R:93:3', 'test-get_colombia_cities.R:102:3', 'test-get_colombia_cities.R:116:3', 'test-get_colombia_cities.R:126:3', 'test-get_colombia_cities.R:134:3', 'test-get_colombia_cities.R:142:3', 'test-get_colombia_cities.R:152:3', 'test-get_colombia_cities.R:160:3', 'test-get_colombia_cpi.R:24:3', 'test-get_colombia_cpi.R:39:3', 'test-get_colombia_cpi.R:48:3', 'test-get_colombia_cpi.R:56:3', 'test-get_colombia_cpi.R:64:3', 'test-get_colombia_cpi.R:72:3', 'test-get_colombia_cpi.R:80:3', 'test-get_colombia_cpi.R:88:3', 'test-get_colombia_departments.R:24:3', 'test-get_colombia_departments.R:36:3', 'test-get_colombia_departments.R:50:3', 'test-get_colombia_departments.R:59:3', 'test-get_colombia_departments.R:68:3', 'test-get_colombia_departments.R:76:3', 'test-get_colombia_departments.R:88:3', 'test-get_colombia_departments.R:102:3', 'test-get_colombia_departments.R:119:3', 'test-get_colombia_departments.R:133:3', 'test-get_colombia_departments.R:145:3', 'test-get_colombia_departments.R:155:3', 'test-get_colombia_departments.R:167:3', 'test-get_colombia_departments.R:179:3', 'test-get_colombia_departments.R:191:3', 'test-get_colombia_energy_use.R:23:3', 'test-get_colombia_energy_use.R:38:3', 'test-get_colombia_energy_use.R:47:3', 'test-get_colombia_energy_use.R:55:3', 'test-get_colombia_energy_use.R:63:3', 'test-get_colombia_energy_use.R:71:3', 'test-get_colombia_energy_use.R:79:3', 'test-get_colombia_energy_use.R:87:3', 'test-get_colombia_gdp.R:23:3', 'test-get_colombia_gdp.R:39:3', 'test-get_colombia_gdp.R:48:3', 'test-get_colombia_gdp.R:56:3', 'test-get_colombia_gdp.R:64:3', 'test-get_colombia_gdp.R:72:3', 'test-get_colombia_gdp.R:80:3', 'test-get_colombia_gdp.R:88:3', 'test-get_colombia_gdp.R:97:3', 'test-get_colombia_holidays.R:24:3', 'test-get_colombia_holidays.R:39:3', 'test-get_colombia_holidays.R:54:3', 'test-get_colombia_holidays.R:64:3', 'test-get_colombia_holidays.R:74:3', 'test-get_colombia_invasive_species.R:24:3', 'test-get_colombia_invasive_species.R:36:3', 'test-get_colombia_invasive_species.R:50:3', 'test-get_colombia_invasive_species.R:59:3', 'test-get_colombia_invasive_species.R:68:3', 'test-get_colombia_invasive_species.R:79:3', 'test-get_colombia_life_expectancy.R:24:3', 'test-get_colombia_life_expectancy.R:55:3', 'test-get_colombia_life_expectancy.R:65:3', 'test-get_colombia_life_expectancy.R:74:3', 'test-get_colombia_life_expectancy.R:84:3', 'test-get_colombia_life_expectancy.R:93:3', 'test-get_colombia_life_expectancy.R:103:3', 'test-get_colombia_life_expectancy.R:112:3', 'test-get_colombia_life_expectancy.R:126:3', 'test-get_colombia_life_expectancy.R:136:3', 'test-get_colombia_life_expectancy.R:150:3', 'test-get_colombia_literacy_rate.R:24:3', 'test-get_colombia_literacy_rate.R:50:3', 'test-get_colombia_literacy_rate.R:57:3', 'test-get_colombia_literacy_rate.R:64:3', 'test-get_colombia_literacy_rate.R:72:3', 'test-get_colombia_literacy_rate.R:79:3', 'test-get_colombia_literacy_rate.R:86:3', 'test-get_colombia_literacy_rate.R:94:3', 'test-get_colombia_literacy_rate.R:101:3', 'test-get_colombia_literacy_rate.R:109:3', 'test-get_colombia_literacy_rate.R:121:3', 'test-get_colombia_literacy_rate.R:130:3', 'test-get_colombia_literacy_rate.R:141:3', 'test-get_colombia_native_communities.R:24:3', 'test-get_colombia_native_communities.R:35:3', 'test-get_colombia_native_communities.R:46:3', 'test-get_colombia_native_communities.R:55:3', 'test-get_colombia_native_communities.R:64:3', 'test-get_colombia_natural_areas.R:24:3', 'test-get_colombia_natural_areas.R:36:3', 'test-get_colombia_natural_areas.R:50:3', 'test-get_colombia_natural_areas.R:64:3', 'test-get_colombia_natural_areas.R:76:3', 'test-get_colombia_presidents.R:24:3', 'test-get_colombia_presidents.R:36:3', 'test-get_colombia_presidents.R:48:3', 'test-get_colombia_presidents.R:57:3', 'test-get_colombia_presidents.R:67:3', 'test-get_colombia_presidents.R:79:3', 'test-get_colombia_presidents.R:92:3', 'test-get_colombia_presidents.R:116:3', 'test-get_colombia_presidents.R:130:3', 'test-get_colombia_presidents.R:140:3', 'test-get_colombia_presidents.R:149:3', 'test-get_colombia_presidents.R:165:3', 'test-get_colombia_presidents.R:174:3', 'test-get_colombia_radios.R:23:3', 'test-get_colombia_radios.R:34:3', 'test-get_colombia_radios.R:45:3', 'test-get_colombia_radios.R:54:3', 'test-get_colombia_radios.R:64:3', 'test-get_colombia_radios.R:73:3', 'test-get_colombia_regions.R:23:3', 'test-get_colombia_regions.R:34:3', 'test-get_colombia_regions.R:43:3', 'test-get_colombia_regions.R:52:3', 'test-get_colombia_regions.R:61:3', 'test-get_colombia_regions.R:70:3', 'test-get_colombia_regions.R:87:3', 'test-get_colombia_regions.R:99:3', 'test-get_colombia_regions.R:108:3', 'test-get_colombia_regions.R:120:3', 'test-get_colombia_regions.R:139:3', 'test-get_colombia_typical_dishes.R:24:3', 'test-get_colombia_typical_dishes.R:35:3', 'test-get_colombia_typical_dishes.R:45:3', 'test-get_colombia_typical_dishes.R:55:3', 'test-get_colombia_typical_dishes.R:65:3', 'test-get_colombia_typical_dishes.R:73:3', 'test-get_country_info_co.R:23:3', 'test-get_country_info_co.R:35:3', 'test-get_country_info_co.R:49:3', 'test-get_country_info_co.R:63:3', 'test-get_country_info_co.R:73:3', 'test-get_country_info_co.R:83:3', 'test-get_country_info_co.R:103:3', 'test-get_country_info_co.R:116:3', 'test-get_country_info_co.R:126:3' • empty test (7): 'test-get_colombia_hospital_beds.R:105:1', 'test-get_colombia_population.R:106:1', 'test-get_colombia_population.R:116:1', 'test-get_colombia_population.R:126:1', 'test-get_colombia_population.R:148:1', 'test-get_colombia_unemployment.R:105:1', 'test-get_colombia_unemployment.R:124:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-get_colombia_hospital_beds.R:26:3'): get_colombia_hospital_beds() returns a tibble with the correct structure and content ── Expected `is.null(result)` to be FALSE. Differences: `actual`: TRUE `expected`: FALSE ── Failure ('test-get_colombia_hospital_beds.R:29:3'): get_colombia_hospital_beds() returns a tibble with the correct structure and content ── Expected `result` to be an S3 object. Actual OO type: none. ── Failure ('test-get_colombia_hospital_beds.R:32:3'): get_colombia_hospital_beds() returns a tibble with the correct structure and content ── Expected `result` to have names `c("indicator", "country", "year", "value")`. Differences: `actual` is NULL `expected` is a character vector ('indicator', 'country', 'year', 'value') ── Failure ('test-get_colombia_hospital_beds.R:35:3'): get_colombia_hospital_beds() returns a tibble with the correct structure and content ── Expected `result$indicator` to have type "character". Actual type: "NULL" ── Failure ('test-get_colombia_hospital_beds.R:36:3'): get_colombia_hospital_beds() returns a tibble with the correct structure and content ── Expected `result$country` to have type "character". Actual type: "NULL" ── Failure ('test-get_colombia_hospital_beds.R:37:3'): get_colombia_hospital_beds() returns a tibble with the correct structure and content ── Expected `result$year` to have type "integer". Actual type: "NULL" ── Failure ('test-get_colombia_hospital_beds.R:38:3'): get_colombia_hospital_beds() returns a tibble with the correct structure and content ── Expected `result$value` to have type "double". Actual type: "NULL" ── Failure ('test-get_colombia_hospital_beds.R:50:3'): get_colombia_hospital_beds() returns a tibble with the correct structure and content ── Expected `nrow(result)` to equal 13. Differences: `actual` is NULL `expected` is a double vector (13) ── Failure ('test-get_colombia_hospital_beds.R:53:3'): get_colombia_hospital_beds() returns a tibble with the correct structure and content ── Expected `ncol(result)` to equal 4. Differences: `actual` is NULL `expected` is a double vector (4) ── Failure ('test-get_colombia_hospital_beds.R:61:3'): get_colombia_hospital_beds() returns data for years 2010 to 2022 ── Expected `sort(unique(result$year))` to equal `2010:2022`. Differences: `actual` is NULL `expected` is an integer vector (2010, 2011, 2012, 2013, 2014, ...) ── Failure ('test-get_colombia_hospital_beds.R:92:3'): get_colombia_hospital_beds() indicator and country are consistent across rows ── Expected `length(unique(result$indicator))` to equal 1. Differences: `actual`: 0.0 `expected`: 1.0 ── Failure ('test-get_colombia_hospital_beds.R:95:3'): get_colombia_hospital_beds() indicator and country are consistent across rows ── Expected `length(unique(result$country))` to equal 1. Differences: `actual`: 0.0 `expected`: 1.0 ── Failure ('test-get_colombia_hospital_beds.R:102:3'): get_colombia_hospital_beds() returns exactly 13 rows for the specified period ── Expected `nrow(result)` to equal 13. Differences: `actual` is NULL `expected` is a double vector (13) ── Failure ('test-get_colombia_population.R:26:3'): get_colombia_population() returns a tibble with the correct structure and content ── Expected `is.null(result)` to be FALSE. Differences: `actual`: TRUE `expected`: FALSE ── Failure ('test-get_colombia_population.R:29:3'): get_colombia_population() returns a tibble with the correct structure and content ── Expected `result` to be an S3 object. Actual OO type: none. ── Failure ('test-get_colombia_population.R:32:3'): get_colombia_population() returns a tibble with the correct structure and content ── Expected `result` to have names `c("indicator", "country", "year", "value", "value_label")`. Differences: `actual` is NULL `expected` is a character vector ('indicator', 'country', 'year', 'value', 'value_label') ── Failure ('test-get_colombia_population.R:35:3'): get_colombia_population() returns a tibble with the correct structure and content ── Expected `result$indicator` to have type "character". Actual type: "NULL" ── Failure ('test-get_colombia_population.R:36:3'): get_colombia_population() returns a tibble with the correct structure and content ── Expected `result$country` to have type "character". Actual type: "NULL" ── Failure ('test-get_colombia_population.R:37:3'): get_colombia_population() returns a tibble with the correct structure and content ── Expected `result$year` to have type "integer". Actual type: "NULL" ── Failure ('test-get_colombia_population.R:38:3'): get_colombia_population() returns a tibble with the correct structure and content ── Expected `result$value` to have type "integer". Actual type: "NULL" ── Failure ('test-get_colombia_population.R:39:3'): get_colombia_population() returns a tibble with the correct structure and content ── Expected `result$value_label` to have type "character". Actual type: "NULL" ── Failure ('test-get_colombia_population.R:51:3'): get_colombia_population() returns a tibble with the correct structure and content ── Expected `nrow(result)` to equal 13. Differences: `actual` is NULL `expected` is a double vector (13) ── Failure ('test-get_colombia_population.R:54:3'): get_colombia_population() returns a tibble with the correct structure and content ── Expected `ncol(result)` to equal 5. Differences: `actual` is NULL `expected` is a double vector (5) ── Failure ('test-get_colombia_population.R:62:3'): get_colombia_population() returns data for years 2010 to 2022 ── Expected `sort(unique(result$year))` to equal `2010:2022`. Differences: `actual` is NULL `expected` is an integer vector (2010, 2011, 2012, 2013, 2014, ...) ── Failure ('test-get_colombia_population.R:93:3'): get_colombia_population() indicator and country are consistent across rows ── Expected `length(unique(result$indicator))` to equal 1. Differences: `actual`: 0.0 `expected`: 1.0 ── Failure ('test-get_colombia_population.R:96:3'): get_colombia_population() indicator and country are consistent across rows ── Expected `length(unique(result$country))` to equal 1. Differences: `actual`: 0.0 `expected`: 1.0 ── Failure ('test-get_colombia_population.R:103:3'): get_colombia_population() returns exactly 13 rows for the specified period ── Expected `nrow(result)` to equal 13. Differences: `actual` is NULL `expected` is a double vector (13) ── Failure ('test-get_colombia_population.R:145:3'): get_colombia_population() value column is integer ── Expected `is.integer(result$value)` to be TRUE. Differences: `actual`: FALSE `expected`: TRUE ── Failure ('test-get_colombia_unemployment.R:26:3'): get_colombia_unemployment() returns a tibble with the correct structure and content ── Expected `is.null(result)` to be FALSE. Differences: `actual`: TRUE `expected`: FALSE ── Failure ('test-get_colombia_unemployment.R:29:3'): get_colombia_unemployment() returns a tibble with the correct structure and content ── Expected `result` to be an S3 object. Actual OO type: none. ── Failure ('test-get_colombia_unemployment.R:32:3'): get_colombia_unemployment() returns a tibble with the correct structure and content ── Expected `result` to have names `c("indicator", "country", "year", "value")`. Differences: `actual` is NULL `expected` is a character vector ('indicator', 'country', 'year', 'value') ── Failure ('test-get_colombia_unemployment.R:35:3'): get_colombia_unemployment() returns a tibble with the correct structure and content ── Expected `result$indicator` to have type "character". Actual type: "NULL" ── Failure ('test-get_colombia_unemployment.R:36:3'): get_colombia_unemployment() returns a tibble with the correct structure and content ── Expected `result$country` to have type "character". Actual type: "NULL" ── Failure ('test-get_colombia_unemployment.R:37:3'): get_colombia_unemployment() returns a tibble with the correct structure and content ── Expected `result$year` to have type "integer". Actual type: "NULL" ── Failure ('test-get_colombia_unemployment.R:38:3'): get_colombia_unemployment() returns a tibble with the correct structure and content ── Expected `result$value` to have type "double". Actual type: "NULL" ── Failure ('test-get_colombia_unemployment.R:50:3'): get_colombia_unemployment() returns a tibble with the correct structure and content ── Expected `nrow(result)` to equal 13. Differences: `actual` is NULL `expected` is a double vector (13) ── Failure ('test-get_colombia_unemployment.R:53:3'): get_colombia_unemployment() returns a tibble with the correct structure and content ── Expected `ncol(result)` to equal 4. Differences: `actual` is NULL `expected` is a double vector (4) ── Failure ('test-get_colombia_unemployment.R:61:3'): get_colombia_unemployment() returns data for years 2010 to 2022 ── Expected `sort(unique(result$year))` to equal `2010:2022`. Differences: `actual` is NULL `expected` is an integer vector (2010, 2011, 2012, 2013, 2014, ...) ── Failure ('test-get_colombia_unemployment.R:92:3'): get_colombia_unemployment() indicator and country are consistent across rows ── Expected `length(unique(result$indicator))` to equal 1. Differences: `actual`: 0.0 `expected`: 1.0 ── Failure ('test-get_colombia_unemployment.R:95:3'): get_colombia_unemployment() indicator and country are consistent across rows ── Expected `length(unique(result$country))` to equal 1. Differences: `actual`: 0.0 `expected`: 1.0 ── Failure ('test-get_colombia_unemployment.R:102:3'): get_colombia_unemployment() returns exactly 13 rows for the specified period ── Expected `nrow(result)` to equal 13. Differences: `actual` is NULL `expected` is a double vector (13) ── Failure ('test-get_colombia_unemployment.R:120:3'): get_colombia_unemployment() value column is numeric ── Expected `is.numeric(result$value)` to be TRUE. Differences: `actual`: FALSE `expected`: TRUE ── Failure ('test-get_colombia_unemployment.R:121:3'): get_colombia_unemployment() value column is numeric ── Expected `is.double(result$value)` to be TRUE. Differences: `actual`: FALSE `expected`: TRUE [ FAIL 43 | WARN 0 | SKIP 190 | PASS 572 ] Error: ! Test failures. Execution halted Package: datawizard Check: tests New result: ERROR Running ‘testthat.R’ [366s/187s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(datawizard) > > test_check("datawizard") Starting 2 test processes. Saving _problems/test-data_match-165.R Saving _problems/test-data_match-174.R Saving _problems/test-data_match-178.R > test-describe_distribution.R: Bootstrapping confidence intervals using 100 iterations, please be > test-describe_distribution.R: patient... > test-describe_distribution.R: For more stable intervals, increase the number of `iterations`, but note > test-describe_distribution.R: that this can also increase the computation time significantly. > test-describe_distribution.R: Bootstrapping confidence intervals using 100 iterations, please be > test-describe_distribution.R: patient... > test-describe_distribution.R: For more stable intervals, increase the number of `iterations`, but note > test-describe_distribution.R: that this can also increase the computation time significantly. > test-describe_distribution.R: Bootstrapping confidence intervals using 100 iterations, please be > test-describe_distribution.R: patient... > test-describe_distribution.R: For more stable intervals, increase the number > test-describe_distribution.R: of `iterations`, but note > test-describe_distribution.R: that this can also increase the computation time significantly. [ FAIL 3 | WARN 0 | SKIP 92 | PASS 2046 ] ══ Skipped tests (92) ══════════════════════════════════════════════════════════ • On CRAN (91): 'test-categorize.R:664:1', 'test-categorize.R:681:1', 'test-contr.deviation.R:10:1', 'test-data_codebook.R:4:1', 'test-data_codebook.R:9:1', 'test-data_codebook.R:14:1', 'test-data_codebook.R:30:1', 'test-data_codebook.R:53:1', 'test-data_codebook.R:58:1', 'test-data_codebook.R:63:1', 'test-data_codebook.R:78:1', 'test-data_codebook.R:86:1', 'test-data_codebook.R:94:1', 'test-data_codebook.R:105:1', 'test-data_codebook.R:115:1', 'test-data_codebook.R:126:1', 'test-data_codebook.R:138:1', 'test-data_codebook.R:156:1', 'test-data_codebook.R:173:1', 'test-data_codebook.R:182:1', 'test-data_codebook.R:191:1', 'test-data_codebook.R:237:1', 'test-data_partition.R:1:1', 'test-data_peek.R:31:1', 'test-data_read.R:8:1', 'test-data_modify.R:488:1', 'test-data_modify.R:497:1', 'test-data_modify.R:717:1', 'test-data_rescale.R:1:1', 'test-data_seek.R:85:1', 'test-data_separate.R:190:1', 'test-data_separate.R:285:1', 'test-data_separate.R:381:1', 'test-data_separate.R:402:1', 'test-data_summary.R:196:1', 'test-data_summary.R:208:1', 'test-data_to_factor.R:124:1', 'test-data_to_long.R:61:1', 'test-data_to_long.R:498:1', 'test-data_to_numeric.R:1:1', 'test-data_to_numeric.R:51:1', 'test-data_to_numeric.R:215:3', 'test-data_tabulate.R:57:1', 'test-data_tabulate.R:65:1', 'test-data_tabulate.R:215:1', 'test-data_tabulate.R:221:1', 'test-data_tabulate.R:227:1', 'test-data_tabulate.R:236:1', 'test-data_tabulate.R:305:1', 'test-data_tabulate.R:311:1', 'test-data_tabulate.R:319:1', 'test-data_tabulate.R:374:1', 'test-data_tabulate.R:547:1', 'test-data_tabulate.R:603:1', 'test-data_tabulate.R:636:1', 'test-data_tabulate.R:722:1', 'test-data_tabulate.R:816:1', 'test-data_tabulate.R:927:1', 'test-data_write.R:5:1', 'test-demean.R:1:1', 'test-demean.R:85:1', 'test-empty-dataframe.R:1:1', 'test-means_by_group.R:1:1', 'test-means_by_group.R:24:1', 'test-describe_distribution.R:76:1', 'test-describe_distribution.R:87:1', 'test-describe_distribution.R:195:1', 'test-describe_distribution.R:209:1', 'test-describe_distribution.R:282:1', 'test-describe_distribution.R:412:1', 'test-describe_distribution.R:519:1', 'test-describe_distribution.R:528:1', 'test-normalize.R:1:1', 'test-print.dw_transformer.R:1:1', 'test-ranktransform.R:65:1', 'test-rescale_weights.R:1:1', 'test-rescale_weights.R:35:1', 'test-rescale_weights.R:49:1', 'test-reshape_ci.R:1:1', 'test-reshape_ci.R:16:1', 'test-smoothness.R:33:1', 'test-skewness-kurtosis.R:47:1', 'test-skewness-kurtosis.R:57:1', 'test-skewness-kurtosis.R:68:1', 'test-skewness-kurtosis.R:78:1', 'test-text_format.R:1:1', 'test-text_format.R:77:1', 'test-standardize_models.R:336:3', 'test-standardize_models.R:383:3', 'test-standardize_models.R:473:3', 'test-winsorization.R:5:1' • {bayestesR} is not installed (1): 'test-data_summary.R:285:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-data_match.R:162:3'): data_filter gives informative message on errors ── Expected `data_filter(mtcars, `?`(mgp > 10, cyl == 4))` to throw a error. ── Failure ('test-data_match.R:171:3'): data_filter gives informative message on errors ── Expected `data_filter(mtcars, cxl == 6)` to throw a error. ── Failure ('test-data_match.R:175:3'): data_filter gives informative message on errors ── Expected `data_filter(mtcars, "cxl == 6")` to throw a error. [ FAIL 3 | WARN 0 | SKIP 92 | PASS 2046 ] Error: ! Test failures. Execution halted Package: ggdibbler Check: for code/documentation mismatches New result: WARNING Codoc mismatches from Rd file 'geom_boxplot_sample.Rd': stat_boxplot_sample Code: function(mapping = NULL, data = NULL, geom = "boxplot", position = "identity", ..., times = 10, orientation = NA, seed = NULL, coef = 1.5, quantile.type = 7, na.rm = FALSE, show.legend = NA, inherit.aes = TRUE) Docs: function(mapping = NULL, data = NULL, geom = "boxplot", position = "identity", ..., times = 10, orientation = NA, seed = NULL, coef = 1.5, na.rm = FALSE, show.legend = NA, inherit.aes = TRUE) Argument names in code not in docs: quantile.type Mismatches in argument names: Position: 10 Code: quantile.type Docs: na.rm Position: 11 Code: na.rm Docs: show.legend Position: 12 Code: show.legend Docs: inherit.aes Package: mmrm Check: tests New result: ERROR Running ‘additional.R’ [11s/11s] Running ‘testthat.R’ [45s/45s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > pkg_name <- "mmrm" > library(pkg_name, character.only = TRUE) > testthat::test_check(pkg_name) In AVISIT there are dropped visits: VIS4. Additional attributes including contrasts are lost. To avoid this behavior, make sure use `drop_visit_levels = FALSE`. Welcome to emmeans. Caution: You lose important information if you filter this package's results. See '? untidy' Saving _problems/test-empirical-486.R Saving _problems/test-empirical-520.R Saving _problems/test-empirical-554.R Saving _problems/test-empirical-588.R Saving _problems/test-empirical-622.R Saving _problems/test-empirical-656.R Loading required package: carData -- Model Registration ------------------------------------------- mmrm 0.3.17 -- v mmrm::mmrm() [ FAIL 6 | WARN 0 | SKIP 51 | PASS 2050 ] ══ Skipped tests (51) ══════════════════════════════════════════════════════════ • On CRAN (50): 'test-between-within.R:23:1', 'test-emmeans.R:115:1', 'test-empirical.R:3:1', 'test-empirical.R:15:1', 'test-empirical.R:27:1', 'test-fit.R:282:3', 'test-fit.R:412:3', 'test-fit.R:559:1', 'test-interop-car.R:214:1', 'test-interop-car.R:237:1', 'test-interop-car.R:304:1', 'test-kenwardroger.R:2:1', 'test-kenwardroger.R:12:1', 'test-kenwardroger.R:22:1', 'test-kenwardroger.R:32:1', 'test-kenwardroger.R:42:1', 'test-kenwardroger.R:52:1', 'test-kenwardroger.R:62:1', 'test-kenwardroger.R:72:1', 'test-kenwardroger.R:82:1', 'test-kenwardroger.R:92:1', 'test-kenwardroger.R:102:1', 'test-kenwardroger.R:112:1', 'test-kenwardroger.R:122:1', 'test-kenwardroger.R:132:1', 'test-kenwardroger.R:142:1', 'test-kenwardroger.R:152:1', 'test-kenwardroger.R:162:1', 'test-kenwardroger.R:172:1', 'test-kenwardroger.R:182:1', 'test-kenwardroger.R:192:1', 'test-kenwardroger.R:490:1', 'test-kenwardroger.R:498:1', 'test-kenwardroger.R:512:1', 'test-kenwardroger.R:530:1', 'test-kenwardroger.R:542:1', 'test-mmrm-methods.R:78:1', 'test-mmrm-methods.R:94:1', 'test-mmrm-methods.R:100:1', 'test-mmrm-methods.R:106:1', 'test-mmrm-methods.R:112:1', 'test-mmrm-methods.R:119:1', 'test-testing.R:78:1', 'test-testing.R:92:1', 'test-tmb-methods.R:142:1', 'test-tmb-methods.R:179:1', 'test-tmb-methods.R:351:1', 'test-tmb-methods.R:913:1', 'test-tmb-methods.R:1081:1', 'test-tmb-methods.R:1088:1' • empty test (1): ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-empirical.R:486:3'): Empirical works as expected for ar1 ─────── Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame Backtrace: ▆ 1. ├─clubSandwich::vcovCR(fit_gls, type = "CR0") at test-empirical.R:486:3 2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR0") 3. └─clubSandwich:::vcov_CR(...) 4. ├─clubSandwich:::model_matrix(obj) 5. └─clubSandwich:::model_matrix.gls(obj) 6. ├─stats::model.matrix(formula(obj), data = dat) 7. └─stats::model.matrix.default(formula(obj), data = dat) 8. ├─stats::terms(object, data = data) 9. └─stats::terms.formula(object, data = data) 10. ├─base::as.data.frame(data, optional = TRUE) 11. └─base::as.data.frame.default(data, optional = TRUE) ── Error ('test-empirical.R:520:3'): Empirical works as expected for weighted ar1 ── Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame Backtrace: ▆ 1. ├─clubSandwich::vcovCR(fit_gls, type = "CR0") at test-empirical.R:520:3 2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR0") 3. └─clubSandwich:::vcov_CR(...) 4. ├─clubSandwich:::model_matrix(obj) 5. └─clubSandwich:::model_matrix.gls(obj) 6. ├─stats::model.matrix(formula(obj), data = dat) 7. └─stats::model.matrix.default(formula(obj), data = dat) 8. ├─stats::terms(object, data = data) 9. └─stats::terms.formula(object, data = data) 10. ├─base::as.data.frame(data, optional = TRUE) 11. └─base::as.data.frame.default(data, optional = TRUE) ── Error ('test-empirical.R:554:3'): Jackknife works as expected for ar1 ─────── Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame Backtrace: ▆ 1. ├─clubSandwich::vcovCR(fit_gls, type = "CR3") at test-empirical.R:554:3 2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR3") 3. └─clubSandwich:::vcov_CR(...) 4. ├─clubSandwich:::model_matrix(obj) 5. └─clubSandwich:::model_matrix.gls(obj) 6. ├─stats::model.matrix(formula(obj), data = dat) 7. └─stats::model.matrix.default(formula(obj), data = dat) 8. ├─stats::terms(object, data = data) 9. └─stats::terms.formula(object, data = data) 10. ├─base::as.data.frame(data, optional = TRUE) 11. └─base::as.data.frame.default(data, optional = TRUE) ── Error ('test-empirical.R:588:3'): Jackknife works as expected for weighted ar1 ── Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame Backtrace: ▆ 1. ├─clubSandwich::vcovCR(fit_gls, type = "CR3") at test-empirical.R:588:3 2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR3") 3. └─clubSandwich:::vcov_CR(...) 4. ├─clubSandwich:::model_matrix(obj) 5. └─clubSandwich:::model_matrix.gls(obj) 6. ├─stats::model.matrix(formula(obj), data = dat) 7. └─stats::model.matrix.default(formula(obj), data = dat) 8. ├─stats::terms(object, data = data) 9. └─stats::terms.formula(object, data = data) 10. ├─base::as.data.frame(data, optional = TRUE) 11. └─base::as.data.frame.default(data, optional = TRUE) ── Error ('test-empirical.R:622:3'): Bias-Reduced works as expected for ar1 ──── Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame Backtrace: ▆ 1. ├─clubSandwich::vcovCR(fit_gls, type = "CR2") at test-empirical.R:622:3 2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR2") 3. └─clubSandwich:::vcov_CR(...) 4. ├─clubSandwich:::model_matrix(obj) 5. └─clubSandwich:::model_matrix.gls(obj) 6. ├─stats::model.matrix(formula(obj), data = dat) 7. └─stats::model.matrix.default(formula(obj), data = dat) 8. ├─stats::terms(object, data = data) 9. └─stats::terms.formula(object, data = data) 10. ├─base::as.data.frame(data, optional = TRUE) 11. └─base::as.data.frame.default(data, optional = TRUE) ── Error ('test-empirical.R:656:3'): Bias-Reduced works as expected for weighted ar1 ── Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame Backtrace: ▆ 1. ├─clubSandwich::vcovCR(fit_gls, type = "CR2") at test-empirical.R:656:3 2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR2") 3. └─clubSandwich:::vcov_CR(...) 4. ├─clubSandwich:::model_matrix(obj) 5. └─clubSandwich:::model_matrix.gls(obj) 6. ├─stats::model.matrix(formula(obj), data = dat) 7. └─stats::model.matrix.default(formula(obj), data = dat) 8. ├─stats::terms(object, data = data) 9. └─stats::terms.formula(object, data = data) 10. ├─base::as.data.frame(data, optional = TRUE) 11. └─base::as.data.frame.default(data, optional = TRUE) [ FAIL 6 | WARN 0 | SKIP 51 | PASS 2050 ] Error: ! Test failures. Execution halted Package: nanotime Check: tests New result: ERROR Running ‘POSIXt.R’ [1s/1s] Running ‘data.frame.R’ [1s/1s] Running ‘simpleTests.R’ [1s/1s] Running ‘tinytest.R’ [2s/2s] Running ‘zooTests.R’ [1s/1s] Running the tests in ‘tests/tinytest.R’ failed. Complete output: > > if (requireNamespace("tinytest", quietly=TRUE) && + utils::packageVersion("tinytest") >= "1.0.0") { + + ## Set a seed to make the test deterministic + set.seed(42) + + ## R makes us to this + Sys.setenv("R_TESTS"="") + + ## there are several more granular ways to test files in a tinytest directory, + ## see its package vignette; tests can also run once the package is installed + ## using the same command `test_package(pkgName)`, or by director or file + tinytest::test_package("nanotime") + } test_data.frame.R............. 0 tests test_data.frame.R............. 0 tests test_data.frame.R............. 0 tests test_data.frame.R............. 0 tests test_data.frame.R............. 0 tests test_data.frame.R............. 0 tests test_data.frame.R............. 1 tests OK test_data.frame.R............. 2 tests OK test_data.frame.R............. 2 tests OK test_data.frame.R............. 2 tests OK test_data.frame.R............. 2 tests OK test_data.frame.R............. 2 tests OK test_data.frame.R............. 2 tests OK test_data.frame.R............. 2 tests OK test_data.frame.R............. 2 tests OK test_data.frame.R............. 3 tests OK test_data.frame.R............. 3 tests OK test_data.frame.R............. 3 tests OK test_data.frame.R............. 3 tests OK test_data.frame.R............. 3 tests OK test_data.frame.R............. 3 tests OK test_data.frame.R............. 3 tests OK test_data.frame.R............. 3 tests OK test_data.frame.R............. 4 tests OK test_data.frame.R............. 4 tests OK test_data.frame.R............. 4 tests OK test_data.frame.R............. 4 tests OK test_data.frame.R............. 4 tests OK test_data.frame.R............. 4 tests OK test_data.frame.R............. 5 tests OK test_data.frame.R............. 6 tests OK test_data.frame.R............. 6 tests OK test_data.frame.R............. 6 tests OK test_data.frame.R............. 6 tests OK test_data.frame.R............. 6 tests OK test_data.frame.R............. 6 tests OK test_data.frame.R............. 6 tests OK test_data.frame.R............. 6 tests OK test_data.frame.R............. 7 tests OK test_data.frame.R............. 7 tests OK test_data.frame.R............. 7 tests OK test_data.frame.R............. 7 tests OK test_data.frame.R............. 7 tests OK test_data.frame.R............. 7 tests OK test_data.frame.R............. 7 tests OK test_data.frame.R............. 7 tests OK test_data.frame.R............. 8 tests OK test_data.frame.R............. 8 tests OK test_data.frame.R............. 8 tests OK test_data.frame.R............. 8 tests OK test_data.frame.R............. 8 tests OK test_data.frame.R............. 8 tests OK test_data.frame.R............. 9 tests OK test_data.frame.R............. 10 tests OK test_data.frame.R............. 10 tests OK test_data.frame.R............. 10 tests OK test_data.frame.R............. 10 tests OK test_data.frame.R............. 10 tests OK test_data.frame.R............. 10 tests OK test_data.frame.R............. 10 tests OK test_data.frame.R............. 10 tests OK test_data.frame.R............. 11 tests OK test_data.frame.R............. 11 tests OK test_data.frame.R............. 11 tests OK test_data.frame.R............. 11 tests OK test_data.frame.R............. 11 tests OK test_data.frame.R............. 11 tests OK test_data.frame.R............. 11 tests OK test_data.frame.R............. 11 tests OK test_data.frame.R............. 12 tests OK test_data.frame.R............. 12 tests OK test_data.frame.R............. 12 tests OK test_data.frame.R............. 12 tests OK test_data.frame.R............. 12 tests OK test_data.frame.R............. 12 tests OK test_data.frame.R............. 12 tests OK test_data.frame.R............. 12 tests OK test_data.frame.R............. 12 tests OK test_data.frame.R............. 12 tests OK test_data.frame.R............. 13 tests OK test_data.frame.R............. 14 tests OK test_data.frame.R............. 14 tests OK test_data.frame.R............. 14 tests OK test_data.frame.R............. 14 tests OK test_data.frame.R............. 14 tests OK test_data.frame.R............. 14 tests OK test_data.frame.R............. 14 tests OK test_data.frame.R............. 14 tests OK test_data.frame.R............. 15 tests OK test_data.frame.R............. 15 tests OK test_data.frame.R............. 15 tests OK test_data.frame.R............. 15 tests OK test_data.frame.R............. 15 tests OK test_data.frame.R............. 15 tests OK test_data.frame.R............. 15 tests OK test_data.frame.R............. 15 tests OK test_data.frame.R............. 16 tests OK 0.1s test_data.table.R............. 0 tests test_data.table.R............. 0 tests Attaching package: 'data.table' The following object is masked from 'package:base': %notin% test_data.table.R............. 0 tests test_data.table.R............. 0 tests test_data.table.R............. 0 tests test_data.table.R............. 0 tests test_data.table.R............. 0 tests test_data.table.R............. 0 tests test_data.table.R............. 1 tests OK test_data.table.R............. 2 tests OK test_data.table.R............. 2 tests OK test_data.table.R............. 2 tests OK test_data.table.R............. 2 tests OK test_data.table.R............. 2 tests OK test_data.table.R............. 2 tests OK test_data.table.R............. 2 tests OK test_data.table.R............. 2 tests OK test_data.table.R............. 3 tests OK test_data.table.R............. 3 tests OK test_data.table.R............. 3 tests OK test_data.table.R............. 3 tests OK test_data.table.R............. 3 tests OK test_data.table.R............. 3 tests OK test_data.table.R............. 3 tests OK test_data.table.R............. 3 tests OK test_data.table.R............. 4 tests OK test_data.table.R............. 4 tests OK test_data.table.R............. 4 tests OK test_data.table.R............. 4 tests OK test_data.table.R............. 4 tests OK test_data.table.R............. 4 tests OK test_data.table.R............. 5 tests OK test_data.table.R............. 6 tests OK test_data.table.R............. 6 tests OK test_data.table.R............. 6 tests OK test_data.table.R............. 6 tests OK test_data.table.R............. 6 tests OK test_data.table.R............. 6 tests OK test_data.table.R............. 6 tests OK test_data.table.R............. 6 tests OK test_data.table.R............. 7 tests OK test_data.table.R............. 7 tests OK test_data.table.R............. 7 tests OK test_data.table.R............. 7 tests OK test_data.table.R............. 7 tests OK test_data.table.R............. 7 tests OK test_data.table.R............. 7 tests OK test_data.table.R............. 7 tests OK test_data.table.R............. 8 tests OK test_data.table.R............. 8 tests OK test_data.table.R............. 8 tests OK test_data.table.R............. 8 tests OK test_data.table.R............. 8 tests OK test_data.table.R............. 8 tests OK test_data.table.R............. 9 tests OK test_data.table.R............. 10 tests OK test_data.table.R............. 10 tests OK test_data.table.R............. 10 tests OK test_data.table.R............. 10 tests OK test_data.table.R............. 10 tests OK test_data.table.R............. 10 tests OK test_data.table.R............. 10 tests OK test_data.table.R............. 10 tests OK test_data.table.R............. 11 tests OK test_data.table.R............. 11 tests OK test_data.table.R............. 11 tests OK test_data.table.R............. 11 tests OK test_data.table.R............. 11 tests OK test_data.table.R............. 11 tests OK test_data.table.R............. 11 tests OK test_data.table.R............. 11 tests OK test_data.table.R............. 12 tests OK test_data.table.R............. 12 tests OK test_data.table.R............. 12 tests OK test_data.table.R............. 12 tests OK test_data.table.R............. 12 tests OK test_data.table.R............. 12 tests OK test_data.table.R............. 12 tests OK test_data.table.R............. 12 tests OK test_data.table.R............. 12 tests OK test_data.table.R............. 12 tests OK test_data.table.R............. 13 tests OK test_data.table.R............. 14 tests OK test_data.table.R............. 14 tests OK test_data.table.R............. 14 tests OK test_data.table.R............. 14 tests OK test_data.table.R............. 14 tests OK test_data.table.R............. 14 tests OK test_data.table.R............. 14 tests OK test_data.table.R............. 14 tests OK test_data.table.R............. 15 tests OK test_data.table.R............. 15 tests OK test_data.table.R............. 15 tests OK test_data.table.R............. 15 tests OK test_data.table.R............. 15 tests OK test_data.table.R............. 15 tests OK test_data.table.R............. 15 tests OK test_data.table.R............. 15 tests OK test_data.table.R............. 16 tests OK 95ms test_nanoduration.R........... 0 tests test_nanoduration.R........... 0 tests test_nanoduration.R........... 0 tests test_nanoduration.R........... 0 tests test_nanoduration.R........... 0 tests test_nanoduration.R........... 0 tests test_nanoduration.R........... 1 tests OK test_nanoduration.R........... 2 tests OK test_nanoduration.R........... 3 tests OK test_nanoduration.R........... 4 tests OK test_nanoduration.R........... 5 tests OK test_nanoduration.R........... 6 tests OK test_nanoduration.R........... 7 tests OK test_nanoduration.R........... 8 tests OK test_nanoduration.R........... 9 tests OK test_nanoduration.R........... 10 tests OK test_nanoduration.R........... 11 tests OK test_nanoduration.R........... 12 tests OK test_nanoduration.R........... 13 tests OK test_nanoduration.R........... 13 tests OK test_nanoduration.R........... 13 tests OK test_nanoduration.R........... 14 tests OK test_nanoduration.R........... 15 tests OK test_nanoduration.R........... 16 tests OK test_nanoduration.R........... 17 tests OK test_nanoduration.R........... 18 tests OK test_nanoduration.R........... 19 tests OK test_nanoduration.R........... 20 tests OK test_nanoduration.R........... 21 tests OK test_nanoduration.R........... 22 tests OK test_nanoduration.R........... 23 tests OK test_nanoduration.R........... 24 tests OK test_nanoduration.R........... 25 tests OK test_nanoduration.R........... 25 tests OK test_nanoduration.R........... 26 tests OK test_nanoduration.R........... 27 tests OK test_nanoduration.R........... 28 tests OK test_nanoduration.R........... 29 tests OK test_nanoduration.R........... 30 tests OK test_nanoduration.R........... 31 tests OK test_nanoduration.R........... 32 tests OK test_nanoduration.R........... 33 tests OK test_nanoduration.R........... 34 tests OK test_nanoduration.R........... 34 tests OK test_nanoduration.R........... 35 tests OK test_nanoduration.R........... 36 tests OK test_nanoduration.R........... 36 tests OK test_nanoduration.R........... 36 tests OK test_nanoduration.R........... 37 tests OK test_nanoduration.R........... 38 tests OK test_nanoduration.R........... 38 tests OK test_nanoduration.R........... 39 tests OK test_nanoduration.R........... 39 tests OK test_nanoduration.R........... 40 tests OK test_nanoduration.R........... 41 tests OK test_nanoduration.R........... 42 tests OK test_nanoduration.R........... 43 tests OK test_nanoduration.R........... 43 tests OK test_nanoduration.R........... 44 tests OK test_nanoduration.R........... 45 tests OK test_nanoduration.R........... 46 tests OK test_nanoduration.R........... 47 tests OK test_nanoduration.R........... 48 tests OK test_nanoduration.R........... 49 tests OK test_nanoduration.R........... 50 tests OK test_nanoduration.R........... 51 tests OK test_nanoduration.R........... 51 tests OK test_nanoduration.R........... 52 tests OK test_nanoduration.R........... 53 tests OK test_nanoduration.R........... 54 tests OK test_nanoduration.R........... 54 tests OK test_nanoduration.R........... 54 tests OK test_nanoduration.R........... 55 tests OK test_nanoduration.R........... 56 tests OK test_nanoduration.R........... 57 tests OK test_nanoduration.R........... 57 tests OK test_nanoduration.R........... 57 tests OK test_nanoduration.R........... 58 tests OK test_nanoduration.R........... 58 tests OK test_nanoduration.R........... 58 tests OK test_nanoduration.R........... 58 tests OK test_nanoduration.R........... 59 tests OK test_nanoduration.R........... 59 tests OK test_nanoduration.R........... 59 tests OK test_nanoduration.R........... 59 tests OK test_nanoduration.R........... 60 tests OK test_nanoduration.R........... 60 tests OK test_nanoduration.R........... 60 tests OK test_nanoduration.R........... 61 tests OK test_nanoduration.R........... 62 tests OK test_nanoduration.R........... 63 tests OK test_nanoduration.R........... 63 tests OK test_nanoduration.R........... 64 tests OK test_nanoduration.R........... 64 tests OK test_nanoduration.R........... 64 tests OK test_nanoduration.R........... 64 tests OK test_nanoduration.R........... 65 tests OK test_nanoduration.R........... 65 tests OK test_nanoduration.R........... 66 tests OK test_nanoduration.R........... 67 tests OK test_nanoduration.R........... 68 tests OK test_nanoduration.R........... 69 tests OK test_nanoduration.R........... 70 tests OK test_nanoduration.R........... 71 tests OK test_nanoduration.R........... 72 tests OK test_nanoduration.R........... 73 tests OK test_nanoduration.R........... 74 tests OK test_nanoduration.R........... 75 tests OK test_nanoduration.R........... 76 tests OK test_nanoduration.R........... 77 tests OK test_nanoduration.R........... 78 tests OK test_nanoduration.R........... 79 tests OK test_nanoduration.R........... 80 tests OK test_nanoduration.R........... 81 tests OK test_nanoduration.R........... 82 tests OK test_nanoduration.R........... 83 tests OK test_nanoduration.R........... 84 tests OK test_nanoduration.R........... 85 tests OK test_nanoduration.R........... 86 tests OK test_nanoduration.R........... 87 tests OK test_nanoduration.R........... 88 tests OK test_nanoduration.R........... 89 tests OK test_nanoduration.R........... 90 tests OK test_nanoduration.R........... 91 tests OK test_nanoduration.R........... 92 tests OK test_nanoduration.R........... 93 tests OK test_nanoduration.R........... 94 tests OK test_nanoduration.R........... 95 tests OK test_nanoduration.R........... 96 tests OK test_nanoduration.R........... 97 tests OK test_nanoduration.R........... 98 tests OK test_nanoduration.R........... 99 tests OK test_nanoduration.R........... 100 tests OK test_nanoduration.R........... 101 tests OK test_nanoduration.R........... 102 tests OK test_nanoduration.R........... 103 tests OK test_nanoduration.R........... 104 tests OK test_nanoduration.R........... 105 tests OK test_nanoduration.R........... 106 tests OK test_nanoduration.R........... 107 tests OK test_nanoduration.R........... 108 tests OK test_nanoduration.R........... 109 tests OK test_nanoduration.R........... 110 tests OK test_nanoduration.R........... 111 tests OK test_nanoduration.R........... 112 tests OK test_nanoduration.R........... 113 tests OK test_nanoduration.R........... 114 tests OK test_nanoduration.R........... 115 tests OK test_nanoduration.R........... 116 tests OK test_nanoduration.R........... 117 tests OK test_nanoduration.R........... 118 tests OK test_nanoduration.R........... 119 tests OK test_nanoduration.R........... 120 tests OK test_nanoduration.R........... 121 tests OK test_nanoduration.R........... 122 tests OK test_nanoduration.R........... 123 tests OK test_nanoduration.R........... 124 tests OK test_nanoduration.R........... 125 tests OK test_nanoduration.R........... 126 tests OK test_nanoduration.R........... 127 tests OK test_nanoduration.R........... 128 tests OK test_nanoduration.R........... 129 tests OK test_nanoduration.R........... 130 tests OK test_nanoduration.R........... 131 tests OK test_nanoduration.R........... 132 tests OK test_nanoduration.R........... 133 tests OK test_nanoduration.R........... 134 tests OK test_nanoduration.R........... 135 tests OK test_nanoduration.R........... 136 tests OK test_nanoduration.R........... 137 tests OK test_nanoduration.R........... 138 tests OK test_nanoduration.R........... 139 tests OK test_nanoduration.R........... 140 tests OK test_nanoduration.R........... 141 tests OK test_nanoduration.R........... 142 tests OK test_nanoduration.R........... 143 tests OK test_nanoduration.R........... 144 tests OK test_nanoduration.R........... 145 tests OK test_nanoduration.R........... 146 tests OK test_nanoduration.R........... 147 tests OK test_nanoduration.R........... 148 tests OK test_nanoduration.R........... 149 tests OK test_nanoduration.R........... 150 tests OK test_nanoduration.R........... 151 tests OK test_nanoduration.R........... 152 tests OK test_nanoduration.R........... 153 tests OK test_nanoduration.R........... 154 tests OK test_nanoduration.R........... 155 tests OK test_nanoduration.R........... 156 tests OK test_nanoduration.R........... 157 tests OK test_nanoduration.R........... 158 tests OK test_nanoduration.R........... 159 tests OK test_nanoduration.R........... 160 tests OK test_nanoduration.R........... 161 tests OK test_nanoduration.R........... 162 tests OK test_nanoduration.R........... 163 tests OK test_nanoduration.R........... 163 tests OK test_nanoduration.R........... 163 tests OK test_nanoduration.R........... 164 tests OK test_nanoduration.R........... 165 tests OK test_nanoduration.R........... 166 tests OK test_nanoduration.R........... 167 tests OK test_nanoduration.R........... 168 tests OK test_nanoduration.R........... 169 tests OK test_nanoduration.R........... 170 tests OK test_nanoduration.R........... 171 tests OK Error in h(simpleError(msg, call)) : error in evaluating the argument 'x' in selecting a method for function 'as.nanoduration': too many arguments Calls: ... seq.nanoduration -> as.nanoduration -> seq -> seq -> seq.integer64 In addition: Warning messages: 1: In as.integer64.character("-9223372036854775808") : NAs introduced by coercion to integer64 range 2: In as.integer64.character("-9223372036854775808") : NAs introduced by coercion to integer64 range 3: In as.integer64.character("-9223372036854775808") : NAs introduced by coercion to integer64 range 4: In as.integer64.character("-9223372036854775808") : NAs introduced by coercion to integer64 range Execution halted Package: rFIA Check: whether package can be installed New result: WARNING Found the following significant warnings: Warning: replacing previous import ‘bit64::setdiff’ by ‘dplyr::setdiff’ when loading ‘rFIA’ Warning: replacing previous import ‘bit64::intersect’ by ‘dplyr::intersect’ when loading ‘rFIA’ Warning: replacing previous import ‘bit64::union’ by ‘dplyr::union’ when loading ‘rFIA’ Warning: replacing previous import ‘bit64::setequal’ by ‘dplyr::setequal’ when loading ‘rFIA’ Package: stdmod Check: examples New result: ERROR Running examples in ‘stdmod-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: coef.cond_effect > ### Title: Conditional Effect in a 'cond_effect'-Class Object > ### Aliases: coef.cond_effect > > ### ** Examples > > > # Load a sample data set > > dat <- test_x_1_w_1_v_1_cat1_n_500 > > # Do a moderated regression by lm > lm_raw <- lm(dv ~ iv*mod + v1 + cat1, dat) > summary(lm_raw) Call: lm(formula = dv ~ iv * mod + v1 + cat1, data = dat) Residuals: Min 1Q Median 3Q Max -2146.0 -431.9 -25.0 411.2 2309.3 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 308.767 4075.066 0.076 0.9396 iv 52.760 271.242 0.195 0.8459 mod 5.127 40.772 0.126 0.9000 v1 -12.760 10.174 -1.254 0.2104 cat1gp2 -158.673 71.834 -2.209 0.0276 * cat1gp3 -43.166 75.283 -0.573 0.5666 iv:mod 3.416 2.709 1.261 0.2080 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 665 on 493 degrees of freedom Multiple R-squared: 0.6352, Adjusted R-squared: 0.6307 F-statistic: 143 on 6 and 493 DF, p-value: < 2.2e-16 > out <- cond_effect(lm_raw, x = iv, w = mod) Error in cond_effect(lm_raw, x = iv, w = mod) : object 'x00' not found Execution halted Package: vacalibration Check: package dependencies New result: ERROR Package required but not available: ‘openVA’ See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ manual.