CRAN Package Check Results for Package ChinAPIs

Last updated on 2025-10-19 09:49:24 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.1.0 6.79 90.03 96.82 OK
r-devel-linux-x86_64-debian-gcc 0.1.0 4.88 60.61 65.49 OK
r-devel-linux-x86_64-fedora-clang 0.1.0 143.85 OK
r-devel-linux-x86_64-fedora-gcc 0.1.0 150.22 OK
r-devel-windows-x86_64 0.1.0 9.00 115.00 124.00 OK
r-patched-linux-x86_64 0.1.0 7.59 81.53 89.12 OK
r-release-linux-x86_64 0.1.0 6.34 82.66 89.00 ERROR
r-release-macos-arm64 0.1.0 56.00 OK
r-release-macos-x86_64 0.1.0 99.00 OK
r-release-windows-x86_64 0.1.0 11.00 115.00 126.00 OK
r-oldrel-macos-arm64 0.1.0 62.00 OK
r-oldrel-macos-x86_64 0.1.0 100.00 OK
r-oldrel-windows-x86_64 0.1.0 13.00 137.00 150.00 OK

Check Details

Version: 0.1.0
Check: tests
Result: ERROR Running ‘testthat.R’ [24s/383s] 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 Error: status 502 Error: status 502 Datasets available in the 'ChinAPIs' package: Datasets available in the 'ChinAPIs' package: [ FAIL 31 | WARN 1 | SKIP 18 | PASS 4021 ] ══ 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_literacy_rate.R:15:3'): get_china_literacy_rate() returns valid structure and types ── `result` is not an S3 object ── Failure ('test-get_china_literacy_rate.R:18:3'): get_china_literacy_rate() returns valid structure and types ── Names of `result` ('') don't match 'indicator', 'country', 'year', 'value' ── Failure ('test-get_china_literacy_rate.R:21:3'): get_china_literacy_rate() returns valid structure and types ── result$indicator has type 'NULL', not 'character'. ── Failure ('test-get_china_literacy_rate.R:22:3'): get_china_literacy_rate() returns valid structure and types ── result$country has type 'NULL', not 'character'. ── Failure ('test-get_china_literacy_rate.R:23:3'): get_china_literacy_rate() returns valid structure and types ── result$year has type 'NULL', not 'integer'. ── Failure ('test-get_china_literacy_rate.R:24:3'): get_china_literacy_rate() returns valid structure and types ── is.numeric(result$value) || is.integer(result$value) is not TRUE `actual`: FALSE `expected`: TRUE ── Failure ('test-get_china_literacy_rate.R:36:3'): get_china_literacy_rate() returns valid structure and types ── nrow(result) (`actual`) not equal to 13 (`expected`). `actual` is NULL `expected` is a double vector (13) ── Failure ('test-get_china_literacy_rate.R:39:3'): get_china_literacy_rate() returns valid structure and types ── any(is.na(result$value)) || any(!is.na(result$value)) is not TRUE `actual`: FALSE `expected`: TRUE ── Failure ('test-get_china_population.R:15:3'): get_china_population() returns correct structure and types ── is.null(result) is not FALSE `actual`: TRUE `expected`: FALSE ── Failure ('test-get_china_population.R:18:3'): get_china_population() returns correct structure and types ── `result` is not an S3 object ── Failure ('test-get_china_population.R:22:3'): get_china_population() returns correct structure and types ── Names of `result` ('') don't match 'indicator', 'country', 'year', 'value', 'value_label' ── Failure ('test-get_china_population.R:25:3'): get_china_population() returns correct structure and types ── result$indicator has type 'NULL', not 'character'. ── Failure ('test-get_china_population.R:26:3'): get_china_population() returns correct structure and types ── result$country has type 'NULL', not 'character'. ── Failure ('test-get_china_population.R:27:3'): get_china_population() returns correct structure and types ── result$year has type 'NULL', not 'integer'. ── Failure ('test-get_china_population.R:28:3'): get_china_population() returns correct structure and types ── is.numeric(result$value) || is.integer(result$value) is not TRUE `actual`: FALSE `expected`: TRUE ── Failure ('test-get_china_population.R:29:3'): get_china_population() returns correct structure and types ── result$value_label has type 'NULL', not 'character'. ── Failure ('test-get_china_population.R:41:3'): get_china_population() returns correct structure and types ── nrow(result) (`actual`) not equal to 13 (`expected`). `actual` is NULL `expected` is a double vector (13) ── Failure ('test-get_china_unemployment.R:16:3'): get_china_unemployment returns a tibble/data frame ── `china_unemployment_data` is not an S3 object ── Failure ('test-get_china_unemployment.R:17:3'): get_china_unemployment returns a tibble/data frame ── `china_unemployment_data` is not an S3 object ── Failure ('test-get_china_unemployment.R:22:3'): get_china_unemployment returns data with exactly 4 columns ── ncol(china_unemployment_data) (`actual`) not equal to 4 (`expected`). `actual` is NULL `expected` is a double vector (4) ── Failure ('test-get_china_unemployment.R:27:3'): get_china_unemployment returns data with exactly 13 rows ── nrow(china_unemployment_data) (`actual`) not equal to 13 (`expected`). `actual` is NULL `expected` is a double vector (13) ── Failure ('test-get_china_unemployment.R:32:3'): get_china_unemployment returns data with correct column names ── names(china_unemployment_data) (`actual`) not equal to c("indicator", "country", "year", "value") (`expected`). `actual` is NULL `expected` is a character vector ('indicator', 'country', 'year', 'value') ── Failure ('test-get_china_unemployment.R:40:3'): get_china_unemployment returns data with correct column types ── china_unemployment_data$indicator has type 'NULL', not 'character'. ── Failure ('test-get_china_unemployment.R:41:3'): get_china_unemployment returns data with correct column types ── china_unemployment_data$country has type 'NULL', not 'character'. ── Failure ('test-get_china_unemployment.R:42:3'): get_china_unemployment returns data with correct column types ── china_unemployment_data$year has type 'NULL', not 'integer'. ── Failure ('test-get_china_unemployment.R:43:3'): get_china_unemployment returns data with correct column types ── china_unemployment_data$value has type 'NULL', not 'double'. ── Failure ('test-get_china_unemployment.R:60:3'): get_china_unemployment year column covers 2010-2022 completely ── `actual_years` (`actual`) not equal to `expected_years` (`expected`). `actual` is NULL `expected` is an integer vector (2010, 2011, 2012, 2013, 2014, ...) ── Failure ('test-get_china_unemployment.R:65:3'): get_china_unemployment year column has no duplicate years ── length(unique(china_unemployment_data$year)) (`actual`) not equal to 13 (`expected`). `actual`: 0.0 `expected`: 13.0 ── Failure ('test-get_china_unemployment.R:94:3'): get_china_unemployment shows expected COVID-19 impact in 2020 ── `year_of_max` (`actual`) not equal to 2020 (`expected`). `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 ── `max_unemployment` (`actual`) not equal to 5 (`expected`). `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 31 | WARN 1 | SKIP 18 | PASS 4021 ] Error: Test failures Execution halted Flavor: r-release-linux-x86_64