CRAN Package Check Results for Package ChinAPIs

Last updated on 2025-12-26 12:49:49 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.1.0 6.94 91.34 98.28 OK
r-devel-linux-x86_64-debian-gcc 0.1.0 4.79 63.36 68.15 OK
r-devel-linux-x86_64-fedora-clang 0.1.0 12.00 138.47 150.47 OK
r-devel-linux-x86_64-fedora-gcc 0.1.0 11.00 148.26 159.26 OK
r-devel-windows-x86_64 0.1.0 10.00 125.00 135.00 ERROR
r-patched-linux-x86_64 0.1.0 8.75 82.82 91.57 OK
r-release-linux-x86_64 0.1.0 6.53 81.16 87.69 OK
r-release-macos-arm64 0.1.0 OK
r-release-macos-x86_64 0.1.0 5.00 94.00 99.00 OK
r-release-windows-x86_64 0.1.0 10.00 114.00 124.00 OK
r-oldrel-macos-arm64 0.1.0 OK
r-oldrel-macos-x86_64 0.1.0 5.00 95.00 100.00 OK
r-oldrel-windows-x86_64 0.1.0 14.00 138.00 152.00 OK

Check Details

Version: 0.1.0
Check: tests
Result: ERROR Running 'testthat.R' [31s] 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(ChinAPIs) > > test_check("ChinAPIs") Error: status 502 Saving _problems/test-get_china_cpi-16.R Saving _problems/test-get_china_cpi-17.R Saving _problems/test-get_china_cpi-22.R Saving _problems/test-get_china_cpi-27.R Saving _problems/test-get_china_cpi-35.R Saving _problems/test-get_china_cpi-40.R Saving _problems/test-get_china_cpi-41.R Saving _problems/test-get_china_cpi-42.R Saving _problems/test-get_china_cpi-43.R Saving _problems/test-get_china_cpi-60.R Saving _problems/test-get_china_cpi-65.R Saving _problems/test-get_china_cpi-81.R Saving _problems/test-get_china_cpi-87.R Error: status 502 Saving _problems/test-get_china_hospital_beds-15.R Saving _problems/test-get_china_hospital_beds-16.R Saving _problems/test-get_china_hospital_beds-19.R Saving _problems/test-get_china_hospital_beds-20.R Saving _problems/test-get_china_hospital_beds-21.R Saving _problems/test-get_china_hospital_beds-22.R Error: status 502 Error: status 502 Error: status 502 Saving _problems/test-get_china_hospital_beds-37.R Error: status 502 Error: status 502 Saving _problems/test-get_china_hospital_beds-47.R Error: status 502 Error: status 502 Saving _problems/test-get_china_hospital_beds-57.R Error: status 502 Error: status 502 Error: status 502 Saving _problems/test-get_china_hospital_beds-72.R Error: status 502 Saving _problems/test-get_china_hospital_beds-77.R Error: status 502 Saving _problems/test-get_china_life_expectancy-15.R Saving _problems/test-get_china_life_expectancy-18.R Saving _problems/test-get_china_life_expectancy-22.R Saving _problems/test-get_china_life_expectancy-25.R Saving _problems/test-get_china_life_expectancy-26.R Saving _problems/test-get_china_life_expectancy-27.R Saving _problems/test-get_china_life_expectancy-28.R Error: status 502 Saving _problems/test-get_china_literacy_rate-15.R Saving _problems/test-get_china_literacy_rate-18.R Saving _problems/test-get_china_literacy_rate-21.R Saving _problems/test-get_china_literacy_rate-22.R Saving _problems/test-get_china_literacy_rate-23.R Saving _problems/test-get_china_literacy_rate-24.R Saving _problems/test-get_china_literacy_rate-36.R Saving _problems/test-get_china_literacy_rate-39.R Error: status 502 Saving _problems/test-get_china_population-15.R Saving _problems/test-get_china_population-18.R Saving _problems/test-get_china_population-22.R Saving _problems/test-get_china_population-25.R Saving _problems/test-get_china_population-26.R Saving _problems/test-get_china_population-27.R Saving _problems/test-get_china_population-28.R Saving _problems/test-get_china_population-29.R Saving _problems/test-get_china_population-41.R Error: status 502 Saving _problems/test-get_china_unemployment-16.R Saving _problems/test-get_china_unemployment-17.R Saving _problems/test-get_china_unemployment-22.R Saving _problems/test-get_china_unemployment-27.R Saving _problems/test-get_china_unemployment-35.R Saving _problems/test-get_china_unemployment-40.R Saving _problems/test-get_china_unemployment-41.R Saving _problems/test-get_china_unemployment-42.R Saving _problems/test-get_china_unemployment-43.R Saving _problems/test-get_china_unemployment-60.R Saving _problems/test-get_china_unemployment-65.R Saving _problems/test-get_china_unemployment-94.R Saving _problems/test-get_china_unemployment-95.R Saving _problems/test-get_china_unemployment-105.R Datasets available in the 'ChinAPIs' package: Datasets available in the 'ChinAPIs' package: [ FAIL 62 | WARN 1 | SKIP 18 | PASS 3990 ] ══ Skipped tests (18) ══════════════════════════════════════════════════════════ • On CRAN (18): 'test-get_china_child_mortality.R:13:3', 'test-get_china_child_mortality.R:33:3', 'test-get_china_child_mortality.R:40:3', 'test-get_china_child_mortality.R:47:3', 'test-get_china_energy_use.R:13:3', 'test-get_china_energy_use.R:33:3', 'test-get_china_energy_use.R:40:3', 'test-get_china_energy_use.R:47:3', 'test-get_china_gdp.R:13:3', 'test-get_china_gdp.R:34:3', 'test-get_china_gdp.R:41:3', 'test-get_china_gdp.R:48:3', 'test-get_china_gdp.R:56:3', 'test-get_china_holidays.R:12:3', 'test-get_china_holidays.R:33:3', 'test-get_country_info_cn.R:13:3', 'test-get_country_info_cn.R:42:3', 'test-get_country_info_cn.R:56:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-get_china_cpi.R:16:3'): get_china_cpi returns a tibble/data frame ── Expected `china_cpi_data` to be an S3 object. Actual OO type: none. ── Failure ('test-get_china_cpi.R:17:3'): get_china_cpi returns a tibble/data frame ── Expected `china_cpi_data` to be an S3 object. Actual OO type: none. ── Failure ('test-get_china_cpi.R:22:3'): get_china_cpi returns data with exactly 4 columns ── Expected `ncol(china_cpi_data)` to equal 4. Differences: `actual` is NULL `expected` is a double vector (4) ── Failure ('test-get_china_cpi.R:27:3'): get_china_cpi returns data with exactly 13 rows ── Expected `nrow(china_cpi_data)` to equal 13. Differences: `actual` is NULL `expected` is a double vector (13) ── Failure ('test-get_china_cpi.R:32:3'): get_china_cpi returns data with correct column names ── Expected `names(china_cpi_data)` to equal `c("indicator", "country", "year", "value")`. Differences: `actual` is NULL `expected` is a character vector ('indicator', 'country', 'year', 'value') ── Failure ('test-get_china_cpi.R:40:3'): get_china_cpi returns data with correct column types ── Expected `china_cpi_data$indicator` to have type "character". Actual type: "NULL" ── Failure ('test-get_china_cpi.R:41:3'): get_china_cpi returns data with correct column types ── Expected `china_cpi_data$country` to have type "character". Actual type: "NULL" ── Failure ('test-get_china_cpi.R:42:3'): get_china_cpi returns data with correct column types ── Expected `china_cpi_data$year` to have type "integer". Actual type: "NULL" ── Failure ('test-get_china_cpi.R:43:3'): get_china_cpi returns data with correct column types ── Expected `china_cpi_data$value` to have type "double". Actual type: "NULL" ── Failure ('test-get_china_cpi.R:60:3'): get_china_cpi year column covers 2010-2022 completely ── Expected `actual_years` to equal `expected_years`. Differences: `actual` is NULL `expected` is an integer vector (2010, 2011, 2012, 2013, 2014, ...) ── Failure ('test-get_china_cpi.R:65:3'): get_china_cpi year column has no duplicate years ── Expected `length(unique(china_cpi_data$year))` to equal 13. Differences: `actual`: 0.0 `expected`: 13.0 ── Failure ('test-get_china_cpi.R:81:3'): get_china_cpi shows 2010 baseline value as 100 ── Expected `baseline_value` to equal 100. Differences: `actual` is NULL `expected` is a double vector (100) ── Error ('test-get_china_cpi.R:87:3'): get_china_cpi values show realistic CPI progression ── Error in `order(china_cpi_data$year)`: argument 1 is not a vector Backtrace: ▆ 1. └─base::order(china_cpi_data$year) at test-get_china_cpi.R:87:3 ── Failure ('test-get_china_hospital_beds.R:15:3'): get_china_hospital_beds returns a tibble with correct structure and types ── Expected `result` to be an S3 object. Actual OO type: none. ── Failure ('test-get_china_hospital_beds.R:16:3'): get_china_hospital_beds returns a tibble with correct structure and types ── Expected `result` to have names `c("indicator", "country", "year", "value")`. Differences: `actual` is NULL `expected` is a character vector ('indicator', 'country', 'year', 'value') ── Failure ('test-get_china_hospital_beds.R:19:3'): get_china_hospital_beds returns a tibble with correct structure and types ── Expected `result$indicator` to have type "character". Actual type: "NULL" ── Failure ('test-get_china_hospital_beds.R:20:3'): get_china_hospital_beds returns a tibble with correct structure and types ── Expected `result$country` to have type "character". Actual type: "NULL" ── Failure ('test-get_china_hospital_beds.R:21:3'): get_china_hospital_beds returns a tibble with correct structure and types ── Expected `result$year` to have type "integer". Actual type: "NULL" ── Failure ('test-get_china_hospital_beds.R:22:3'): get_china_hospital_beds returns a tibble with correct structure and types ── Expected `result$value` to have type "double". Actual type: "NULL" ── Failure ('test-get_china_hospital_beds.R:37:3'): get_china_hospital_beds returns 13 rows (one per year) ── Expected `nrow(result)` to equal 13. Differences: `actual` is NULL `expected` is a double vector (13) ── Failure ('test-get_china_hospital_beds.R:47:3'): get_china_hospital_beds allows for missing values (e.g., NA) ── Expected `any(is.na(result$value))` to be TRUE. Differences: `actual`: FALSE `expected`: TRUE ── Failure ('test-get_china_hospital_beds.R:57:3'): get_china_hospital_beds returns a numeric vector in the value column ── Expected `result$value` to have type "double". Actual type: "NULL" ── Failure ('test-get_china_hospital_beds.R:72:3'): get_china_hospital_beds: indicator is consistent across all rows ── Expected `length(unique(result$indicator))` to equal 1. Differences: `actual`: 0.0 `expected`: 1.0 ── Failure ('test-get_china_hospital_beds.R:77:3'): get_china_hospital_beds: country is consistent across all rows ── Expected `length(unique(result$country))` to equal 1. Differences: `actual`: 0.0 `expected`: 1.0 ── Failure ('test-get_china_life_expectancy.R:15:3'): get_china_life_expectancy returns a tibble with correct structure and values ── Expected `result` to be an S3 object. Actual OO type: none. ── Failure ('test-get_china_life_expectancy.R:18:3'): get_china_life_expectancy returns a tibble with correct structure and values ── Expected `nrow(result)` to equal 13. Differences: `actual` is NULL `expected` is a double vector (13) ── Failure ('test-get_china_life_expectancy.R:22:3'): get_china_life_expectancy returns a tibble with correct structure and values ── Expected `result` to have names `expected_names`. Differences: `actual` is NULL `expected` is a character vector ('indicator', 'country', 'year', 'value') ── Failure ('test-get_china_life_expectancy.R:25:3'): get_china_life_expectancy returns a tibble with correct structure and values ── Expected `result$indicator` to have type "character". Actual type: "NULL" ── Failure ('test-get_china_life_expectancy.R:26:3'): get_china_life_expectancy returns a tibble with correct structure and values ── Expected `result$country` to have type "character". Actual type: "NULL" ── Failure ('test-get_china_life_expectancy.R:27:3'): get_china_life_expectancy returns a tibble with correct structure and values ── Expected `result$year` to have type "integer". Actual type: "NULL" ── Failure ('test-get_china_life_expectancy.R:28:3'): get_china_life_expectancy returns a tibble with correct structure and values ── Expected `result$value` to have type "double". Actual type: "NULL" ── Failure ('test-get_china_literacy_rate.R:15:3'): get_china_literacy_rate() returns valid structure and types ── Expected `result` to be an S3 object. Actual OO type: none. ── Failure ('test-get_china_literacy_rate.R:18:3'): get_china_literacy_rate() returns valid structure and types ── Expected `result` to have names `c("indicator", "country", "year", "value")`. Differences: `actual` is NULL `expected` is a character vector ('indicator', 'country', 'year', 'value') ── Failure ('test-get_china_literacy_rate.R:21:3'): get_china_literacy_rate() returns valid structure and types ── Expected `result$indicator` to have type "character". Actual type: "NULL" ── Failure ('test-get_china_literacy_rate.R:22:3'): get_china_literacy_rate() returns valid structure and types ── Expected `result$country` to have type "character". Actual type: "NULL" ── Failure ('test-get_china_literacy_rate.R:23:3'): get_china_literacy_rate() returns valid structure and types ── Expected `result$year` to have type "integer". Actual type: "NULL" ── Failure ('test-get_china_literacy_rate.R:24:3'): get_china_literacy_rate() returns valid structure and types ── Expected `is.numeric(result$value) || is.integer(result$value)` to be TRUE. Differences: `actual`: FALSE `expected`: TRUE ── Failure ('test-get_china_literacy_rate.R:36:3'): get_china_literacy_rate() returns valid structure and types ── Expected `nrow(result)` to equal 13. Differences: `actual` is NULL `expected` is a double vector (13) ── Failure ('test-get_china_literacy_rate.R:39:3'): get_china_literacy_rate() returns valid structure and types ── Expected `any(is.na(result$value)) || any(!is.na(result$value))` to be TRUE. Differences: `actual`: FALSE `expected`: TRUE ── Failure ('test-get_china_population.R:15:3'): get_china_population() returns correct structure and types ── Expected `is.null(result)` to be FALSE. Differences: `actual`: TRUE `expected`: FALSE ── Failure ('test-get_china_population.R:18:3'): get_china_population() returns correct structure and types ── Expected `result` to be an S3 object. Actual OO type: none. ── Failure ('test-get_china_population.R:22:3'): get_china_population() returns correct structure and types ── Expected `result` to have names `expected_cols`. Differences: `actual` is NULL `expected` is a character vector ('indicator', 'country', 'year', 'value', 'value_label') ── Failure ('test-get_china_population.R:25:3'): get_china_population() returns correct structure and types ── Expected `result$indicator` to have type "character". Actual type: "NULL" ── Failure ('test-get_china_population.R:26:3'): get_china_population() returns correct structure and types ── Expected `result$country` to have type "character". Actual type: "NULL" ── Failure ('test-get_china_population.R:27:3'): get_china_population() returns correct structure and types ── Expected `result$year` to have type "integer". Actual type: "NULL" ── Failure ('test-get_china_population.R:28:3'): get_china_population() returns correct structure and types ── Expected `is.numeric(result$value) || is.integer(result$value)` to be TRUE. Differences: `actual`: FALSE `expected`: TRUE ── Failure ('test-get_china_population.R:29:3'): get_china_population() returns correct structure and types ── Expected `result$value_label` to have type "character". Actual type: "NULL" ── Failure ('test-get_china_population.R:41:3'): get_china_population() returns correct structure and types ── Expected `nrow(result)` to equal 13. Differences: `actual` is NULL `expected` is a double vector (13) ── Failure ('test-get_china_unemployment.R:16:3'): get_china_unemployment returns a tibble/data frame ── Expected `china_unemployment_data` to be an S3 object. Actual OO type: none. ── Failure ('test-get_china_unemployment.R:17:3'): get_china_unemployment returns a tibble/data frame ── Expected `china_unemployment_data` to be an S3 object. Actual OO type: none. ── Failure ('test-get_china_unemployment.R:22:3'): get_china_unemployment returns data with exactly 4 columns ── Expected `ncol(china_unemployment_data)` to equal 4. Differences: `actual` is NULL `expected` is a double vector (4) ── Failure ('test-get_china_unemployment.R:27:3'): get_china_unemployment returns data with exactly 13 rows ── Expected `nrow(china_unemployment_data)` to equal 13. Differences: `actual` is NULL `expected` is a double vector (13) ── Failure ('test-get_china_unemployment.R:32:3'): get_china_unemployment returns data with correct column names ── Expected `names(china_unemployment_data)` to equal `c("indicator", "country", "year", "value")`. Differences: `actual` is NULL `expected` is a character vector ('indicator', 'country', 'year', 'value') ── Failure ('test-get_china_unemployment.R:40:3'): get_china_unemployment returns data with correct column types ── Expected `china_unemployment_data$indicator` to have type "character". Actual type: "NULL" ── Failure ('test-get_china_unemployment.R:41:3'): get_china_unemployment returns data with correct column types ── Expected `china_unemployment_data$country` to have type "character". Actual type: "NULL" ── Failure ('test-get_china_unemployment.R:42:3'): get_china_unemployment returns data with correct column types ── Expected `china_unemployment_data$year` to have type "integer". Actual type: "NULL" ── Failure ('test-get_china_unemployment.R:43:3'): get_china_unemployment returns data with correct column types ── Expected `china_unemployment_data$value` to have type "double". Actual type: "NULL" ── Failure ('test-get_china_unemployment.R:60:3'): get_china_unemployment year column covers 2010-2022 completely ── Expected `actual_years` to equal `expected_years`. Differences: `actual` is NULL `expected` is an integer vector (2010, 2011, 2012, 2013, 2014, ...) ── Failure ('test-get_china_unemployment.R:65:3'): get_china_unemployment year column has no duplicate years ── Expected `length(unique(china_unemployment_data$year))` to equal 13. Differences: `actual`: 0.0 `expected`: 13.0 ── Failure ('test-get_china_unemployment.R:94:3'): get_china_unemployment shows expected COVID-19 impact in 2020 ── Expected `year_of_max` to equal 2020. Differences: `actual` is NULL `expected` is a double vector (2020) ── Failure ('test-get_china_unemployment.R:95:3'): get_china_unemployment shows expected COVID-19 impact in 2020 ── Expected `max_unemployment` to equal 5. Differences: `actual`: -Inf `expected`: 5.0 ── Error ('test-get_china_unemployment.R:105:3'): get_china_unemployment values show typical stability for China ── Error in `var(china_unemployment_data$value)`: 'x' is NULL Backtrace: ▆ 1. └─stats::var(china_unemployment_data$value) at test-get_china_unemployment.R:105:3 [ FAIL 62 | WARN 1 | SKIP 18 | PASS 3990 ] Error: ! Test failures. Execution halted Flavor: r-devel-windows-x86_64