CRAN Package Check Results for Package lulab.utils

Last updated on 2025-10-05 05:49:37 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.0.4 2.30 29.19 31.49 ERROR
r-devel-linux-x86_64-debian-gcc 0.0.4 1.60 23.19 24.79 ERROR
r-devel-linux-x86_64-fedora-clang 0.0.4 45.70 ERROR
r-devel-linux-x86_64-fedora-gcc 0.0.4 57.22 ERROR
r-devel-windows-x86_64 0.0.4 5.00 115.00 120.00 ERROR
r-patched-linux-x86_64 0.0.4 2.31 27.06 29.37 ERROR
r-release-linux-x86_64 0.0.4 2.07 27.09 29.16 ERROR
r-release-macos-arm64 0.0.4 192.00 OK
r-release-macos-x86_64 0.0.4 184.00 OK
r-release-windows-x86_64 0.0.4 4.00 106.00 110.00 ERROR
r-oldrel-macos-arm64 0.0.4 239.00 OK
r-oldrel-macos-x86_64 0.0.4 254.00 OK
r-oldrel-windows-x86_64 0.0.4 5.00 118.00 123.00 ERROR

Check Details

Version: 0.0.4
Check: dependencies in R code
Result: WARN Missing or unexported object: ‘table1::render.strat.default’ Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-windows-x86_64, r-oldrel-windows-x86_64

Version: 0.0.4
Check: tests
Result: ERROR Running ‘testthat.R’ [3s/54s] 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(lulab.utils) > > test_check("lulab.utils") This function is intended to check wget on Windows. Please install wget manually on your system. Testing the download speed of CRAN mirrors... You can use the following command to set the fastest CRAN mirror: options(repos = c(CRAN = 'https://mirrors.qlu.edu.cn/CRAN/')) This function is intended to check wget on Windows. Please install wget manually on your system. But we will use the default download method. This function is intended to check wget on Windows. Please install wget manually on your system. [ FAIL 1 | WARN 0 | SKIP 0 | PASS 8 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-Table1.R:12:3'): making Table1 in SCI papers works ───────────── <getvarError/missingArgError/error/condition> Error in `render.strat(x, ..., transpose = transpose)`: argument "n" is missing, with no default Backtrace: ▆ 1. └─lulab.utils::Table1(...) at test-Table1.R:12:3 2. ├─table1::table1(...) 3. └─table1:::table1.formula(...) 4. └─table1:::table1.default(...) 5. └─table1:::.table1.internal(...) 6. └─lulab.utils (local) render.strat(x, ..., transpose = transpose) 7. └─base::ifelse(...) [ FAIL 1 | WARN 0 | SKIP 0 | PASS 8 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-debian-clang

Version: 0.0.4
Check: tests
Result: ERROR Running ‘testthat.R’ [2s/53s] 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(lulab.utils) > > test_check("lulab.utils") This function is intended to check wget on Windows. Please install wget manually on your system. Testing the download speed of CRAN mirrors... You can use the following command to set the fastest CRAN mirror: options(repos = c(CRAN = 'https://mirrors.qlu.edu.cn/CRAN/')) This function is intended to check wget on Windows. Please install wget manually on your system. But we will use the default download method. This function is intended to check wget on Windows. Please install wget manually on your system. [ FAIL 1 | WARN 0 | SKIP 0 | PASS 8 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-Table1.R:12:3'): making Table1 in SCI papers works ───────────── <getvarError/missingArgError/error/condition> Error in `render.strat(x, ..., transpose = transpose)`: argument "n" is missing, with no default Backtrace: ▆ 1. └─lulab.utils::Table1(...) at test-Table1.R:12:3 2. ├─table1::table1(...) 3. └─table1:::table1.formula(...) 4. └─table1:::table1.default(...) 5. └─table1:::.table1.internal(...) 6. └─lulab.utils (local) render.strat(x, ..., transpose = transpose) 7. └─base::ifelse(...) [ FAIL 1 | WARN 0 | SKIP 0 | PASS 8 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.0.4
Check: tests
Result: ERROR Running ‘testthat.R’ [3s/118s] 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(lulab.utils) > > test_check("lulab.utils") This function is intended to check wget on Windows. Please install wget manually on your system. Testing the download speed of CRAN mirrors... You can use the following command to set the fastest CRAN mirror: options(repos = c(CRAN = 'https://mirrors.qlu.edu.cn/CRAN/')) This function is intended to check wget on Windows. Please install wget manually on your system. But we will use the default download method. This function is intended to check wget on Windows. Please install wget manually on your system. [ FAIL 1 | WARN 0 | SKIP 0 | PASS 8 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-Table1.R:12:3'): making Table1 in SCI papers works ───────────── <getvarError/missingArgError/error/condition> Error in `render.strat(x, ..., transpose = transpose)`: argument "n" is missing, with no default Backtrace: ▆ 1. └─lulab.utils::Table1(...) at test-Table1.R:12:3 2. ├─table1::table1(...) 3. └─table1:::table1.formula(...) 4. └─table1:::table1.default(...) 5. └─table1:::.table1.internal(...) 6. └─lulab.utils (local) render.strat(x, ..., transpose = transpose) 7. └─base::ifelse(...) [ FAIL 1 | WARN 0 | SKIP 0 | PASS 8 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.0.4
Check: tests
Result: ERROR Running ‘testthat.R’ [3s/55s] 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(lulab.utils) > > test_check("lulab.utils") This function is intended to check wget on Windows. Please install wget manually on your system. Testing the download speed of CRAN mirrors... You can use the following command to set the fastest CRAN mirror: options(repos = c(CRAN = 'https://mirrors.qlu.edu.cn/CRAN/')) This function is intended to check wget on Windows. Please install wget manually on your system. But we will use the default download method. This function is intended to check wget on Windows. Please install wget manually on your system. [ FAIL 1 | WARN 0 | SKIP 0 | PASS 8 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-Table1.R:12:3'): making Table1 in SCI papers works ───────────── <getvarError/missingArgError/error/condition> Error in `render.strat(x, ..., transpose = transpose)`: argument "n" is missing, with no default Backtrace: ▆ 1. └─lulab.utils::Table1(...) at test-Table1.R:12:3 2. ├─table1::table1(...) 3. └─table1:::table1.formula(...) 4. └─table1:::table1.default(...) 5. └─table1:::.table1.internal(...) 6. └─lulab.utils (local) render.strat(x, ..., transpose = transpose) 7. └─base::ifelse(...) [ FAIL 1 | WARN 0 | SKIP 0 | PASS 8 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 0.0.4
Check: tests
Result: ERROR Running 'testthat.R' [68s] 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(lulab.utils) > > test_check("lulab.utils") wget is already installed on your system. Testing the download speed of CRAN mirrors... You can use the following command to set the fastest CRAN mirror: options(repos = c(CRAN = 'https://mirrors.qlu.edu.cn/CRAN/')) wget is already installed on your system. But we will use the default download method. wget is already installed on your system. And we will use wget to download files. --2025-09-25 12:15:46-- https://eternallybored.org/misc/wget/1.21.4/64/wget.exe Loaded CA certificate '/usr/ssl/certs/ca-bundle.crt' Resolving eternallybored.org (eternallybored.org)... 84.255.206.8, 2a01:260:4094:1:42:42:42:42 Connecting to eternallybored.org (eternallybored.org)|84.255.206.8|:443... connected. HTTP request sent, awaiting response... 200 OK Length: 7046072 (6.7M) [application/octet-stream] Saving to: 'D:\\temp\\2025_09_25_01_50_00_17305\\RtmpQJAFKf\\file52742c202988' 0K .......... .......... .......... .......... .......... 0% 957K 7s 50K .......... .......... .......... .......... .......... 1% 1.89M 5s 100K .......... .......... .......... .......... .......... 2% 21.0M 4s 150K .......... .......... .......... .......... .......... 2% 31.5M 3s 200K .......... .......... .......... .......... .......... 3% 1.98M 3s 250K .......... .......... .......... .......... .......... 4% 23.8M 2s 300K .......... .......... .......... .......... .......... 5% 30.3M 2s 350K .......... .......... .......... .......... .......... 5% 26.3M 2s 400K .......... .......... .......... .......... .......... 6% 2.43M 2s 450K .......... .......... .......... .......... .......... 7% 29.8M 2s 500K .......... .......... .......... .......... .......... 7% 41.2M 2s 550K .......... .......... .......... .......... .......... 8% 36.4M 1s 600K .......... .......... .......... .......... .......... 9% 34.4M 1s 650K .......... .......... .......... .......... .......... 10% 42.8M 1s 700K .......... .......... .......... .......... .......... 10% 35.7M 1s 750K .......... .......... .......... .......... .......... 11% 36.2M 1s 800K .......... .......... .......... .......... .......... 12% 43.2M 1s 850K .......... .......... .......... .......... .......... 13% 3.06M 1s 900K .......... .......... .......... .......... .......... 13% 17.0M 1s 950K .......... .......... .......... .......... .......... 14% 26.6M 1s 1000K .......... .......... .......... .......... .......... 15% 29.4M 1s 1050K .......... .......... .......... .......... .......... 15% 26.7M 1s 1100K .......... .......... .......... .......... .......... 16% 25.2M 1s 1150K .......... .......... .......... .......... .......... 17% 32.6M 1s 1200K .......... .......... .......... .......... .......... 18% 23.1M 1s 1250K .......... .......... .......... .......... .......... 18% 31.1M 1s 1300K .......... .......... .......... .......... .......... 19% 32.4M 1s 1350K .......... .......... .......... .......... .......... 20% 6.17M 1s 1400K .......... .......... .......... .......... .......... 21% 13.6M 1s 1450K .......... .......... .......... .......... .......... 21% 35.4M 1s 1500K .......... .......... .......... .......... .......... 22% 34.2M 1s 1550K .......... .......... .......... .......... .......... 23% 38.2M 1s 1600K .......... .......... .......... .......... .......... 23% 34.4M 1s 1650K .......... .......... .......... .......... .......... 24% 36.9M 1s 1700K .......... .......... .......... .......... .......... 25% 27.1M 1s 1750K .......... .......... .......... .......... .......... 26% 31.9M 1s 1800K .......... .......... .......... .......... .......... 26% 28.8M 1s 1850K .......... .......... .......... .......... .......... 27% 22.1M 1s 1900K .......... .......... .......... .......... .......... 28% 31.8M 1s 1950K .......... .......... .......... .......... .......... 29% 26.8M 0s 2000K .......... .......... .......... .......... .......... 29% 32.2M 0s 2050K .......... .......... .......... .......... .......... 30% 23.5M 0s 2100K .......... .......... .......... .......... .......... 31% 27.3M 0s 2150K .......... .......... .......... .......... .......... 31% 31.0M 0s 2200K .......... .......... .......... .......... .......... 32% 33.0M 0s 2250K .......... .......... .......... .......... .......... 33% 35.5M 0s 2300K .......... .......... .......... .......... .......... 34% 36.7M 0s 2350K .......... .......... .......... .......... .......... 34% 27.9M 0s 2400K .......... .......... .......... .......... .......... 35% 34.7M 0s 2450K .......... .......... .......... .......... .......... 36% 30.6M 0s 2500K .......... .......... .......... .......... .......... 37% 30.0M 0s 2550K .......... .......... .......... .......... .......... 37% 35.3M 0s 2600K .......... .......... .......... .......... .......... 38% 30.2M 0s 2650K .......... .......... .......... .......... .......... 39% 33.6M 0s 2700K .......... .......... .......... .......... .......... 39% 34.1M 0s 2750K .......... .......... .......... .......... .......... 40% 38.4M 0s 2800K .......... .......... .......... .......... .......... 41% 30.1M 0s 2850K .......... .......... .......... .......... .......... 42% 31.1M 0s 2900K .......... .......... .......... .......... .......... 42% 39.2M 0s 2950K .......... .......... .......... .......... .......... 43% 32.5M 0s 3000K .......... .......... .......... .......... .......... 44% 29.6M 0s 3050K .......... .......... .......... .......... .......... 45% 35.1M 0s 3100K .......... .......... .......... .......... .......... 45% 25.6M 0s 3150K .......... .......... .......... .......... .......... 46% 28.6M 0s 3200K .......... .......... .......... .......... .......... 47% 32.2M 0s 3250K .......... .......... .......... .......... .......... 47% 48.8M 0s 3300K .......... .......... .......... .......... .......... 48% 39.5M 0s 3350K .......... .......... .......... .......... .......... 49% 31.5M 0s 3400K .......... .......... .......... .......... .......... 50% 32.0M 0s 3450K .......... .......... .......... .......... .......... 50% 37.5M 0s 3500K .......... .......... .......... .......... .......... 51% 31.6M 0s 3550K .......... .......... .......... .......... .......... 52% 35.3M 0s 3600K .......... .......... .......... .......... .......... 53% 33.0M 0s 3650K .......... .......... .......... .......... .......... 53% 38.9M 0s 3700K .......... .......... .......... .......... .......... 54% 28.8M 0s 3750K .......... .......... .......... .......... .......... 55% 37.0M 0s 3800K .......... .......... .......... .......... .......... 55% 34.6M 0s 3850K .......... .......... .......... .......... .......... 56% 21.5M 0s 3900K .......... .......... .......... .......... .......... 57% 9.57M 0s 3950K .......... .......... .......... .......... .......... 58% 50.0M 0s 4000K .......... .......... .......... .......... .......... 58% 39.0M 0s 4050K .......... .......... .......... .......... .......... 59% 30.6M 0s 4100K .......... .......... .......... .......... .......... 60% 35.8M 0s 4150K .......... .......... .......... .......... .......... 61% 37.5M 0s 4200K .......... .......... .......... .......... .......... 61% 24.3M 0s 4250K .......... .......... .......... .......... .......... 62% 36.4M 0s 4300K .......... .......... .......... .......... .......... 63% 41.6M 0s 4350K .......... .......... .......... .......... .......... 63% 37.9M 0s 4400K .......... .......... .......... .......... .......... 64% 39.2M 0s 4450K .......... .......... .......... .......... .......... 65% 48.9M 0s 4500K .......... .......... .......... .......... .......... 66% 59.7M 0s 4550K .......... .......... .......... .......... .......... 66% 61.9M 0s 4600K .......... .......... .......... .......... .......... 67% 48.3M 0s 4650K .......... .......... .......... .......... .......... 68% 52.9M 0s 4700K .......... .......... .......... .......... .......... 69% 56.6M 0s 4750K .......... .......... .......... .......... .......... 69% 64.3M 0s 4800K .......... .......... .......... .......... .......... 70% 52.1M 0s 4850K .......... .......... .......... .......... .......... 71% 42.1M 0s 4900K .......... .......... .......... .......... .......... 71% 65.0M 0s 4950K .......... .......... .......... .......... .......... 72% 54.4M 0s 5000K .......... .......... .......... .......... .......... 73% 50.5M 0s 5050K .......... .......... .......... .......... .......... 74% 68.0M 0s 5100K .......... .......... .......... .......... .......... 74% 54.8M 0s 5150K .......... .......... .......... .......... .......... 75% 58.6M 0s 5200K .......... .......... .......... .......... .......... 76% 45.5M 0s 5250K .......... .......... .......... .......... .......... 77% 68.0M 0s 5300K .......... .......... .......... .......... .......... 77% 65.9M 0s 5350K .......... .......... .......... .......... .......... 78% 36.7M 0s 5400K .......... .......... .......... .......... .......... 79% 48.2M 0s 5450K .......... .......... .......... .......... .......... 79% 45.0M 0s 5500K .......... .......... .......... .......... .......... 80% 65.0M 0s 5550K .......... .......... .......... .......... .......... 81% 43.4M 0s 5600K .......... .......... .......... .......... .......... 82% 45.1M 0s 5650K .......... .......... .......... .......... .......... 82% 53.8M 0s 5700K .......... .......... .......... .......... .......... 83% 46.7M 0s 5750K .......... .......... .......... .......... .......... 84% 55.7M 0s 5800K .......... .......... .......... .......... .......... 85% 67.6M 0s 5850K .......... .......... .......... .......... .......... 85% 48.5M 0s 5900K .......... .......... .......... .......... .......... 86% 48.2M 0s 5950K .......... .......... .......... .......... .......... 87% 53.3M 0s 6000K .......... .......... .......... .......... .......... 87% 66.8M 0s 6050K .......... .......... .......... .......... .......... 88% 58.1M 0s 6100K .......... .......... .......... .......... .......... 89% 42.4M 0s 6150K .......... .......... .......... .......... .......... 90% 68.4M 0s 6200K .......... .......... .......... .......... .......... 90% 58.7M 0s 6250K .......... .......... .......... .......... .......... 91% 56.9M 0s 6300K .......... .......... .......... .......... .......... 92% 56.6M 0s 6350K .......... .......... .......... .......... .......... 93% 58.5M 0s 6400K .......... .......... .......... .......... .......... 93% 68.5M 0s 6450K .......... .......... .......... .......... .......... 94% 38.9M 0s 6500K .......... .......... .......... .......... .......... 95% 68.2M 0s 6550K .......... .......... .......... .......... .......... 95% 68.7M 0s 6600K .......... .......... .......... .......... .......... 96% 50.5M 0s 6650K .......... .......... .......... .......... .......... 97% 37.4M 0s 6700K .......... .......... .......... .......... .......... 98% 53.3M 0s 6750K .......... .......... .......... .......... .......... 98% 46.7M 0s 6800K .......... .......... .......... .......... .......... 99% 45.6M 0s 6850K .......... .......... .......... 100% 35.0M=0.3s 2025-09-25 12:15:48 (20.6 MB/s) - 'D:\\temp\\2025_09_25_01_50_00_17305\\RtmpQJAFKf\\file52742c202988' saved [7046072/7046072] [ FAIL 1 | WARN 0 | SKIP 0 | PASS 11 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-Table1.R:12:3'): making Table1 in SCI papers works ───────────── <getvarError/missingArgError/error/condition> Error in `render.strat(x, ..., transpose = transpose)`: argument "n" is missing, with no default Backtrace: ▆ 1. └─lulab.utils::Table1(...) at test-Table1.R:12:3 2. ├─table1::table1(...) 3. └─table1:::table1.formula(...) 4. └─table1:::table1.default(...) 5. └─table1:::.table1.internal(...) 6. └─lulab.utils (local) render.strat(x, ..., transpose = transpose) 7. └─base::ifelse(...) [ FAIL 1 | WARN 0 | SKIP 0 | PASS 11 ] Error: Test failures Execution halted Flavor: r-devel-windows-x86_64

Version: 0.0.4
Check: tests
Result: ERROR Running ‘testthat.R’ [3s/80s] 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(lulab.utils) > > test_check("lulab.utils") This function is intended to check wget on Windows. Please install wget manually on your system. Testing the download speed of CRAN mirrors... You can use the following command to set the fastest CRAN mirror: options(repos = c(CRAN = 'https://mirrors.qlu.edu.cn/CRAN/')) This function is intended to check wget on Windows. Please install wget manually on your system. But we will use the default download method. This function is intended to check wget on Windows. Please install wget manually on your system. [ FAIL 1 | WARN 0 | SKIP 0 | PASS 8 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-Table1.R:12:3'): making Table1 in SCI papers works ───────────── <getvarError/missingArgError/error/condition> Error in `render.strat(x, ..., transpose = transpose)`: argument "n" is missing, with no default Backtrace: ▆ 1. └─lulab.utils::Table1(...) at test-Table1.R:12:3 2. ├─table1::table1(...) 3. └─table1:::table1.formula(...) 4. └─table1:::table1.default(...) 5. └─table1:::.table1.internal(...) 6. └─lulab.utils (local) render.strat(x, ..., transpose = transpose) 7. └─base::ifelse(...) [ FAIL 1 | WARN 0 | SKIP 0 | PASS 8 ] Error: Test failures Execution halted Flavors: r-patched-linux-x86_64, r-release-linux-x86_64

Version: 0.0.4
Check: tests
Result: ERROR Running 'testthat.R' [60s] 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(lulab.utils) > > test_check("lulab.utils") wget is already installed on your system. Testing the download speed of CRAN mirrors... You can use the following command to set the fastest CRAN mirror: options(repos = c(CRAN = 'https://mirrors.qlu.edu.cn/CRAN/')) wget is already installed on your system. But we will use the default download method. wget is already installed on your system. And we will use wget to download files. --2025-09-29 10:42:08-- https://eternallybored.org/misc/wget/1.21.4/64/wget.exe Loaded CA certificate '/usr/ssl/certs/ca-bundle.crt' Resolving eternallybored.org (eternallybored.org)... 84.255.206.8, 2a01:260:4094:1:42:42:42:42 Connecting to eternallybored.org (eternallybored.org)|84.255.206.8|:443... connected. HTTP request sent, awaiting response... 200 OK Length: 7046072 (6.7M) [application/octet-stream] Saving to: 'D:\\temp\\2025_09_29_01_50_00_31777\\RtmpCKFFNB\\file2bfe8c462c15' 0K .......... .......... .......... .......... .......... 0% 1.06M 6s 50K .......... .......... .......... .......... .......... 1% 2.18M 5s 100K .......... .......... .......... .......... .......... 2% 19.9M 3s 150K .......... .......... .......... .......... .......... 2% 33.1M 2s 200K .......... .......... .......... .......... .......... 3% 2.24M 3s 250K .......... .......... .......... .......... .......... 4% 29.5M 2s 300K .......... .......... .......... .......... .......... 5% 34.7M 2s 350K .......... .......... .......... .......... .......... 5% 29.6M 2s 400K .......... .......... .......... .......... .......... 6% 2.73M 2s 450K .......... .......... .......... .......... .......... 7% 39.0M 2s 500K .......... .......... .......... .......... .......... 7% 41.5M 1s 550K .......... .......... .......... .......... .......... 8% 44.0M 1s 600K .......... .......... .......... .......... .......... 9% 37.6M 1s 650K .......... .......... .......... .......... .......... 10% 2.63M 1s 700K .......... .......... .......... .......... .......... 10% 22.8M 1s 750K .......... .......... .......... .......... .......... 11% 34.0M 1s 800K .......... .......... .......... .......... .......... 12% 34.7M 1s 850K .......... .......... .......... .......... .......... 13% 41.0M 1s 900K .......... .......... .......... .......... .......... 13% 2.75M 1s 950K .......... .......... .......... .......... .......... 14% 26.8M 1s 1000K .......... .......... .......... .......... .......... 15% 32.9M 1s 1050K .......... .......... .......... .......... .......... 15% 43.0M 1s 1100K .......... .......... .......... .......... .......... 16% 39.0M 1s 1150K .......... .......... .......... .......... .......... 17% 2.78M 1s 1200K .......... .......... .......... .......... .......... 18% 19.9M 1s 1250K .......... .......... .......... .......... .......... 18% 33.7M 1s 1300K .......... .......... .......... .......... .......... 19% 34.0M 1s 1350K .......... .......... .......... .......... .......... 20% 28.6M 1s 1400K .......... .......... .......... .......... .......... 21% 3.03M 1s 1450K .......... .......... .......... .......... .......... 21% 8.92M 1s 1500K .......... .......... .......... .......... .......... 22% 38.7M 1s 1550K .......... .......... .......... .......... .......... 23% 43.1M 1s 1600K .......... .......... .......... .......... .......... 23% 29.4M 1s 1650K .......... .......... .......... .......... .......... 24% 4.58M 1s 1700K .......... .......... .......... .......... .......... 25% 6.87M 1s 1750K .......... .......... .......... .......... .......... 26% 20.1M 1s 1800K .......... .......... .......... .......... .......... 26% 38.6M 1s 1850K .......... .......... .......... .......... .......... 27% 35.2M 1s 1900K .......... .......... .......... .......... .......... 28% 41.5M 1s 1950K .......... .......... .......... .......... .......... 29% 2.61M 1s 2000K .......... .......... .......... .......... .......... 29% 27.7M 1s 2050K .......... .......... .......... .......... .......... 30% 46.3M 1s 2100K .......... .......... .......... .......... .......... 31% 34.7M 1s 2150K .......... .......... .......... .......... .......... 31% 49.4M 1s 2200K .......... .......... .......... .......... .......... 32% 2.59M 1s 2250K .......... .......... .......... .......... .......... 33% 28.8M 1s 2300K .......... .......... .......... .......... .......... 34% 45.2M 1s 2350K .......... .......... .......... .......... .......... 34% 52.8M 1s 2400K .......... .......... .......... .......... .......... 35% 64.1M 1s 2450K .......... .......... .......... .......... .......... 36% 2.61M 1s 2500K .......... .......... .......... .......... .......... 37% 22.7M 1s 2550K .......... .......... .......... .......... .......... 37% 28.5M 1s 2600K .......... .......... .......... .......... .......... 38% 54.2M 1s 2650K .......... .......... .......... .......... .......... 39% 60.9M 0s 2700K .......... .......... .......... .......... .......... 39% 2.87M 0s 2750K .......... .......... .......... .......... .......... 40% 12.1M 0s 2800K .......... .......... .......... .......... .......... 41% 35.0M 0s 2850K .......... .......... .......... .......... .......... 42% 24.9M 0s 2900K .......... .......... .......... .......... .......... 42% 36.2M 0s 2950K .......... .......... .......... .......... .......... 43% 3.22M 0s 3000K .......... .......... .......... .......... .......... 44% 13.9M 0s 3050K .......... .......... .......... .......... .......... 45% 26.5M 0s 3100K .......... .......... .......... .......... .......... 45% 24.4M 0s 3150K .......... .......... .......... .......... .......... 46% 36.5M 0s 3200K .......... .......... .......... .......... .......... 47% 3.33M 0s 3250K .......... .......... .......... .......... .......... 47% 13.5M 0s 3300K .......... .......... .......... .......... .......... 48% 21.1M 0s 3350K .......... .......... .......... .......... .......... 49% 30.0M 0s 3400K .......... .......... .......... .......... .......... 50% 35.7M 0s 3450K .......... .......... .......... .......... .......... 50% 3.16M 0s 3500K .......... .......... .......... .......... .......... 51% 15.1M 0s 3550K .......... .......... .......... .......... .......... 52% 16.6M 0s 3600K .......... .......... .......... .......... .......... 53% 27.0M 0s 3650K .......... .......... .......... .......... .......... 53% 35.1M 0s 3700K .......... .......... .......... .......... .......... 54% 3.69M 0s 3750K .......... .......... .......... .......... .......... 55% 11.3M 0s 3800K .......... .......... .......... .......... .......... 55% 18.0M 0s 3850K .......... .......... .......... .......... .......... 56% 31.1M 0s 3900K .......... .......... .......... .......... .......... 57% 5.54M 0s 3950K .......... .......... .......... .......... .......... 58% 8.19M 0s 4000K .......... .......... .......... .......... .......... 58% 12.0M 0s 4050K .......... .......... .......... .......... .......... 59% 16.7M 0s 4100K .......... .......... .......... .......... .......... 60% 24.2M 0s 4150K .......... .......... .......... .......... .......... 61% 5.47M 0s 4200K .......... .......... .......... .......... .......... 61% 7.55M 0s 4250K .......... .......... .......... .......... .......... 62% 14.1M 0s 4300K .......... .......... .......... .......... .......... 63% 16.4M 0s 4350K .......... .......... .......... .......... .......... 63% 37.3M 0s 4400K .......... .......... .......... .......... .......... 64% 4.01M 0s 4450K .......... .......... .......... .......... .......... 65% 17.5M 0s 4500K .......... .......... .......... .......... .......... 66% 9.80M 0s 4550K .......... .......... .......... .......... .......... 66% 21.2M 0s 4600K .......... .......... .......... .......... .......... 67% 33.4M 0s 4650K .......... .......... .......... .......... .......... 68% 3.98M 0s 4700K .......... .......... .......... .......... .......... 69% 18.4M 0s 4750K .......... .......... .......... .......... .......... 69% 9.83M 0s 4800K .......... .......... .......... .......... .......... 70% 20.3M 0s 4850K .......... .......... .......... .......... .......... 71% 24.9M 0s 4900K .......... .......... .......... .......... .......... 71% 4.30M 0s 4950K .......... .......... .......... .......... .......... 72% 14.8M 0s 5000K .......... .......... .......... .......... .......... 73% 10.4M 0s 5050K .......... .......... .......... .......... .......... 74% 15.6M 0s 5100K .......... .......... .......... .......... .......... 74% 4.40M 0s 5150K .......... .......... .......... .......... .......... 75% 21.7M 0s 5200K .......... .......... .......... .......... .......... 76% 11.4M 0s 5250K .......... .......... .......... .......... .......... 77% 18.9M 0s 5300K .......... .......... .......... .......... .......... 77% 15.7M 0s 5350K .......... .......... .......... .......... .......... 78% 4.11M 0s 5400K .......... .......... .......... .......... .......... 79% 24.7M 0s 5450K .......... .......... .......... .......... .......... 79% 13.2M 0s 5500K .......... .......... .......... .......... .......... 80% 19.6M 0s 5550K .......... .......... .......... .......... .......... 81% 12.8M 0s 5600K .......... .......... .......... .......... .......... 82% 4.14M 0s 5650K .......... .......... .......... .......... .......... 82% 28.3M 0s 5700K .......... .......... .......... .......... .......... 83% 11.4M 0s 5750K .......... .......... .......... .......... .......... 84% 22.0M 0s 5800K .......... .......... .......... .......... .......... 85% 3.69M 0s 5850K .......... .......... .......... .......... .......... 85% 21.6M 0s 5900K .......... .......... .......... .......... .......... 86% 21.3M 0s 5950K .......... .......... .......... .......... .......... 87% 14.5M 0s 6000K .......... .......... .......... .......... .......... 87% 18.9M 0s 6050K .......... .......... .......... .......... .......... 88% 3.69M 0s 6100K .......... .......... .......... .......... .......... 89% 18.0M 0s 6150K .......... .......... .......... .......... .......... 90% 25.3M 0s 6200K .......... .......... .......... .......... .......... 90% 12.9M 0s 6250K .......... .......... .......... .......... .......... 91% 4.21M 0s 6300K .......... .......... .......... .......... .......... 92% 12.1M 0s 6350K .......... .......... .......... .......... .......... 93% 19.2M 0s 6400K .......... .......... .......... .......... .......... 93% 22.1M 0s 6450K .......... .......... .......... .......... .......... 94% 14.7M 0s 6500K .......... .......... .......... .......... .......... 95% 4.25M 0s 6550K .......... .......... .......... .......... .......... 95% 12.3M 0s 6600K .......... .......... .......... .......... .......... 96% 17.9M 0s 6650K .......... .......... .......... .......... .......... 97% 17.7M 0s 6700K .......... .......... .......... .......... .......... 98% 17.0M 0s 6750K .......... .......... .......... .......... .......... 98% 4.24M 0s 6800K .......... .......... .......... .......... .......... 99% 12.3M 0s 6850K .......... .......... .......... 100% 19.8M=0.7s 2025-09-29 10:42:10 (9.20 MB/s) - 'D:\\temp\\2025_09_29_01_50_00_31777\\RtmpCKFFNB\\file2bfe8c462c15' saved [7046072/7046072] [ FAIL 1 | WARN 0 | SKIP 0 | PASS 11 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-Table1.R:12:3'): making Table1 in SCI papers works ───────────── <getvarError/missingArgError/error/condition> Error in `render.strat(x, ..., transpose = transpose)`: argument "n" is missing, with no default Backtrace: ▆ 1. └─lulab.utils::Table1(...) at test-Table1.R:12:3 2. ├─table1::table1(...) 3. └─table1:::table1.formula(...) 4. └─table1:::table1.default(...) 5. └─table1:::.table1.internal(...) 6. └─lulab.utils (local) render.strat(x, ..., transpose = transpose) 7. └─base::ifelse(...) [ FAIL 1 | WARN 0 | SKIP 0 | PASS 11 ] Error: Test failures Execution halted Flavor: r-release-windows-x86_64

Version: 0.0.4
Check: tests
Result: ERROR Running 'testthat.R' [67s] 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(lulab.utils) > > test_check("lulab.utils") wget is already installed on your system. Testing the download speed of CRAN mirrors... You can use the following command to set the fastest CRAN mirror: options(repos = c(CRAN = 'https://mirrors.qlu.edu.cn/CRAN/')) wget is already installed on your system. But we will use the default download method. wget is already installed on your system. And we will use wget to download files. --2025-10-03 08:14:11-- https://eternallybored.org/misc/wget/1.21.4/64/wget.exe Loaded CA certificate '/usr/ssl/certs/ca-bundle.crt' Resolving eternallybored.org (eternallybored.org)... 84.255.206.8, 2a01:260:4094:1:42:42:42:42 Connecting to eternallybored.org (eternallybored.org)|84.255.206.8|:443... connected. HTTP request sent, awaiting response... 200 OK Length: 7046072 (6.7M) [application/octet-stream] Saving to: 'D:\\temp\\2025_10_03_01_50_00_13482\\RtmpKanVTQ\\file20f3022db150' 0K .......... .......... .......... .......... .......... 0% 1.02M 7s 50K .......... .......... .......... .......... .......... 1% 2.06M 5s 100K .......... .......... .......... .......... .......... 2% 18.3M 3s 150K .......... .......... .......... .......... .......... 2% 30.6M 3s 200K .......... .......... .......... .......... .......... 3% 2.21M 3s 250K .......... .......... .......... .......... .......... 4% 21.1M 2s 300K .......... .......... .......... .......... .......... 5% 30.3M 2s 350K .......... .......... .......... .......... .......... 5% 25.7M 2s 400K .......... .......... .......... .......... .......... 6% 2.59M 2s 450K .......... .......... .......... .......... .......... 7% 15.2M 2s 500K .......... .......... .......... .......... .......... 7% 30.6M 1s 550K .......... .......... .......... .......... .......... 8% 29.5M 1s 600K .......... .......... .......... .......... .......... 9% 20.1M 1s 650K .......... .......... .......... .......... .......... 10% 2.74M 1s 700K .......... .......... .......... .......... .......... 10% 13.5M 1s 750K .......... .......... .......... .......... .......... 11% 23.9M 1s 800K .......... .......... .......... .......... .......... 12% 30.8M 1s 850K .......... .......... .......... .......... .......... 13% 24.6M 1s 900K .......... .......... .......... .......... .......... 13% 4.15M 1s 950K .......... .......... .......... .......... .......... 14% 5.33M 1s 1000K .......... .......... .......... .......... .......... 15% 27.3M 1s 1050K .......... .......... .......... .......... .......... 15% 24.5M 1s 1100K .......... .......... .......... .......... .......... 16% 25.2M 1s 1150K .......... .......... .......... .......... .......... 17% 30.3M 1s 1200K .......... .......... .......... .......... .......... 18% 2.57M 1s 1250K .......... .......... .......... .......... .......... 18% 32.7M 1s 1300K .......... .......... .......... .......... .......... 19% 33.9M 1s 1350K .......... .......... .......... .......... .......... 20% 29.3M 1s 1400K .......... .......... .......... .......... .......... 21% 25.7M 1s 1450K .......... .......... .......... .......... .......... 21% 594K 1s 1500K .......... .......... .......... .......... .......... 22% 24.2M 1s 1550K .......... .......... .......... .......... .......... 23% 30.0M 1s 1600K .......... .......... .......... .......... .......... 23% 26.6M 1s 1650K .......... .......... .......... .......... .......... 24% 31.7M 1s 1700K .......... .......... .......... .......... .......... 25% 2.78M 1s 1750K .......... .......... .......... .......... .......... 26% 41.3M 1s 1800K .......... .......... .......... .......... .......... 26% 28.9M 1s 1850K .......... .......... .......... .......... .......... 27% 30.8M 1s 1900K .......... .......... .......... .......... .......... 28% 29.1M 1s 1950K .......... .......... .......... .......... .......... 29% 2.71M 1s 2000K .......... .......... .......... .......... .......... 29% 26.2M 1s 2050K .......... .......... .......... .......... .......... 30% 20.3M 1s 2100K .......... .......... .......... .......... .......... 31% 25.7M 1s 2150K .......... .......... .......... .......... .......... 31% 26.3M 1s 2200K .......... .......... .......... .......... .......... 32% 22.2M 1s 2250K .......... .......... .......... .......... .......... 33% 3.08M 1s 2300K .......... .......... .......... .......... .......... 34% 13.6M 1s 2350K .......... .......... .......... .......... .......... 34% 24.6M 1s 2400K .......... .......... .......... .......... .......... 35% 31.2M 1s 2450K .......... .......... .......... .......... .......... 36% 24.9M 1s 2500K .......... .......... .......... .......... .......... 37% 3.10M 1s 2550K .......... .......... .......... .......... .......... 37% 14.9M 1s 2600K .......... .......... .......... .......... .......... 38% 27.1M 1s 2650K .......... .......... .......... .......... .......... 39% 36.9M 1s 2700K .......... .......... .......... .......... .......... 39% 25.3M 1s 2750K .......... .......... .......... .......... .......... 40% 2.82M 1s 2800K .......... .......... .......... .......... .......... 41% 18.5M 1s 2850K .......... .......... .......... .......... .......... 42% 20.9M 1s 2900K .......... .......... .......... .......... .......... 42% 30.5M 1s 2950K .......... .......... .......... .......... .......... 43% 18.4M 1s 3000K .......... .......... .......... .......... .......... 44% 3.12M 1s 3050K .......... .......... .......... .......... .......... 45% 23.0M 1s 3100K .......... .......... .......... .......... .......... 45% 16.3M 1s 3150K .......... .......... .......... .......... .......... 46% 12.6M 1s 3200K .......... .......... .......... .......... .......... 47% 26.8M 1s 3250K .......... .......... .......... .......... .......... 47% 3.17M 1s 3300K .......... .......... .......... .......... .......... 48% 30.7M 1s 3350K .......... .......... .......... .......... .......... 49% 27.4M 0s 3400K .......... .......... .......... .......... .......... 50% 11.3M 0s 3450K .......... .......... .......... .......... .......... 50% 5.49M 0s 3500K .......... .......... .......... .......... .......... 51% 6.66M 0s 3550K .......... .......... .......... .......... .......... 52% 17.3M 0s 3600K .......... .......... .......... .......... .......... 53% 24.4M 0s 3650K .......... .......... .......... .......... .......... 53% 13.7M 0s 3700K .......... .......... .......... .......... .......... 54% 4.90M 0s 3750K .......... .......... .......... .......... .......... 55% 12.8M 0s 3800K .......... .......... .......... .......... .......... 55% 8.04M 0s 3850K .......... .......... .......... .......... .......... 56% 20.5M 0s 3900K .......... .......... .......... .......... .......... 57% 20.1M 0s 3950K .......... .......... .......... .......... .......... 58% 4.74M 0s 4000K .......... .......... .......... .......... .......... 58% 12.9M 0s 4050K .......... .......... .......... .......... .......... 59% 8.14M 0s 4100K .......... .......... .......... .......... .......... 60% 22.9M 0s 4150K .......... .......... .......... .......... .......... 61% 5.08M 0s 4200K .......... .......... .......... .......... .......... 61% 13.8M 0s 4250K .......... .......... .......... .......... .......... 62% 11.1M 0s 4300K .......... .......... .......... .......... .......... 63% 6.16M 0s 4350K .......... .......... .......... .......... .......... 63% 18.9M 0s 4400K .......... .......... .......... .......... .......... 64% 7.24M 0s 4450K .......... .......... .......... .......... .......... 65% 13.0M 0s 4500K .......... .......... .......... .......... .......... 66% 13.8M 0s 4550K .......... .......... .......... .......... .......... 66% 5.74M 0s 4600K .......... .......... .......... .......... .......... 67% 26.1M 0s 4650K .......... .......... .......... .......... .......... 68% 7.49M 0s 4700K .......... .......... .......... .......... .......... 69% 9.06M 0s 4750K .......... .......... .......... .......... .......... 69% 22.4M 0s 4800K .......... .......... .......... .......... .......... 70% 6.04M 0s 4850K .......... .......... .......... .......... .......... 71% 5.70M 0s 4900K .......... .......... .......... .......... .......... 71% 31.1M 0s 4950K .......... .......... .......... .......... .......... 72% 11.6M 0s 5000K .......... .......... .......... .......... .......... 73% 27.4M 0s 5050K .......... .......... .......... .......... .......... 74% 5.52M 0s 5100K .......... .......... .......... .......... .......... 74% 5.37M 0s 5150K .......... .......... .......... .......... .......... 75% 19.5M 0s 5200K .......... .......... .......... .......... .......... 76% 16.6M 0s 5250K .......... .......... .......... .......... .......... 77% 15.9M 0s 5300K .......... .......... .......... .......... .......... 77% 7.60M 0s 5350K .......... .......... .......... .......... .......... 78% 4.37M 0s 5400K .......... .......... .......... .......... .......... 79% 32.6M 0s 5450K .......... .......... .......... .......... .......... 79% 16.1M 0s 5500K .......... .......... .......... .......... .......... 80% 14.6M 0s 5550K .......... .......... .......... .......... .......... 81% 9.32M 0s 5600K .......... .......... .......... .......... .......... 82% 4.38M 0s 5650K .......... .......... .......... .......... .......... 82% 30.2M 0s 5700K .......... .......... .......... .......... .......... 83% 11.9M 0s 5750K .......... .......... .......... .......... .......... 84% 20.9M 0s 5800K .......... .......... .......... .......... .......... 85% 3.29M 0s 5850K .......... .......... .......... .......... .......... 85% 19.9M 0s 5900K .......... .......... .......... .......... .......... 86% 29.1M 0s 5950K .......... .......... .......... .......... .......... 87% 10.8M 0s 6000K .......... .......... .......... .......... .......... 87% 29.0M 0s 6050K .......... .......... .......... .......... .......... 88% 3.36M 0s 6100K .......... .......... .......... .......... .......... 89% 14.5M 0s 6150K .......... .......... .......... .......... .......... 90% 29.7M 0s 6200K .......... .......... .......... .......... .......... 90% 11.2M 0s 6250K .......... .......... .......... .......... .......... 91% 16.6M 0s 6300K .......... .......... .......... .......... .......... 92% 4.28M 0s 6350K .......... .......... .......... .......... .......... 93% 14.7M 0s 6400K .......... .......... .......... .......... .......... 93% 13.0M 0s 6450K .......... .......... .......... .......... .......... 94% 13.4M 0s 6500K .......... .......... .......... .......... .......... 95% 20.9M 0s 6550K .......... .......... .......... .......... .......... 95% 3.84M 0s 6600K .......... .......... .......... .......... .......... 96% 11.4M 0s 6650K .......... .......... .......... .......... .......... 97% 32.0M 0s 6700K .......... .......... .......... .......... .......... 98% 13.1M 0s 6750K .......... .......... .......... .......... .......... 98% 24.1M 0s 6800K .......... .......... .......... .......... .......... 99% 3.74M 0s 6850K .......... .......... .......... 100% 10.2M=0.8s 2025-10-03 08:14:12 (8.04 MB/s) - 'D:\\temp\\2025_10_03_01_50_00_13482\\RtmpKanVTQ\\file20f3022db150' saved [7046072/7046072] [ FAIL 1 | WARN 0 | SKIP 0 | PASS 11 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-Table1.R:12:3'): making Table1 in SCI papers works ───────────── Error in `render.strat(x, ..., transpose = transpose)`: argument "n" is missing, with no default Backtrace: ▆ 1. └─lulab.utils::Table1(...) at test-Table1.R:12:3 2. ├─table1::table1(...) 3. └─table1:::table1.formula(...) 4. └─table1:::table1.default(...) 5. └─table1:::.table1.internal(...) 6. └─lulab.utils (local) render.strat(x, ..., transpose = transpose) 7. └─base::ifelse(...) [ FAIL 1 | WARN 0 | SKIP 0 | PASS 11 ] Error: Test failures Execution halted Flavor: r-oldrel-windows-x86_64