Last updated on 2025-09-30 08:50:54 CEST.
Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
---|---|---|---|---|---|---|
r-devel-linux-x86_64-debian-clang | 0.0.4 | 1.88 | 29.49 | 31.37 | ERROR | |
r-devel-linux-x86_64-debian-gcc | 0.0.4 | 1.69 | 23.50 | 25.19 | 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 | 2.02 | 27.10 | 29.12 | ERROR | |
r-release-linux-x86_64 | 0.0.4 | 2.20 | 26.87 | 29.07 | 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 | 109.00 | 113.00 | 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 | 115.00 | 120.00 | ERROR |
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/113s]
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://mirror-hk.koddos.net/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/57s]
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
Flavors: r-devel-linux-x86_64-fedora-gcc, r-release-linux-x86_64
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
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1900K .......... .......... .......... .......... .......... 28% 31.8M 1s
1950K .......... .......... .......... .......... .......... 29% 26.8M 0s
2000K .......... .......... .......... .......... .......... 29% 32.2M 0s
2050K .......... .......... .......... .......... .......... 30% 23.5M 0s
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2150K .......... .......... .......... .......... .......... 31% 31.0M 0s
2200K .......... .......... .......... .......... .......... 32% 33.0M 0s
2250K .......... .......... .......... .......... .......... 33% 35.5M 0s
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2500K .......... .......... .......... .......... .......... 37% 30.0M 0s
2550K .......... .......... .......... .......... .......... 37% 35.3M 0s
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2650K .......... .......... .......... .......... .......... 39% 33.6M 0s
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3250K .......... .......... .......... .......... .......... 47% 48.8M 0s
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6500K .......... .......... .......... .......... .......... 95% 68.2M 0s
6550K .......... .......... .......... .......... .......... 95% 68.7M 0s
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6650K .......... .......... .......... .......... .......... 97% 37.4M 0s
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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/147s]
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-patched-linux-x86_64
Version: 0.0.4
Check: tests
Result: ERROR
Running 'testthat.R' [63s]
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.
--2025-09-28 09:44:41-- 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_28_01_50_00_11775\\RtmpuYfEPu\\filee7a422c73446'
0K .......... .......... .......... .......... .......... 0% 1.04M 6s
50K .......... .......... .......... .......... .......... 1% 2.10M 5s
100K .......... .......... .......... .......... .......... 2% 24.2M 3s
150K .......... .......... .......... .......... .......... 2% 35.6M 2s
200K .......... .......... .......... .......... .......... 3% 2.24M 3s
250K .......... .......... .......... .......... .......... 4% 31.9M 2s
300K .......... .......... .......... .......... .......... 5% 33.7M 2s
350K .......... .......... .......... .......... .......... 5% 38.3M 2s
400K .......... .......... .......... .......... .......... 6% 2.63M 2s
450K .......... .......... .......... .......... .......... 7% 28.1M 2s
500K .......... .......... .......... .......... .......... 7% 55.6M 1s
550K .......... .......... .......... .......... .......... 8% 58.1M 1s
600K .......... .......... .......... .......... .......... 9% 42.6M 1s
650K .......... .......... .......... .......... .......... 10% 2.46M 1s
700K .......... .......... .......... .......... .......... 10% 25.2M 1s
750K .......... .......... .......... .......... .......... 11% 36.7M 1s
800K .......... .......... .......... .......... .......... 12% 42.0M 1s
850K .......... .......... .......... .......... .......... 13% 49.9M 1s
900K .......... .......... .......... .......... .......... 13% 2.91M 1s
950K .......... .......... .......... .......... .......... 14% 11.5M 1s
1000K .......... .......... .......... .......... .......... 15% 43.8M 1s
1050K .......... .......... .......... .......... .......... 15% 42.6M 1s
1100K .......... .......... .......... .......... .......... 16% 35.7M 1s
1150K .......... .......... .......... .......... .......... 17% 32.0M 1s
1200K .......... .......... .......... .......... .......... 18% 2.58M 1s
1250K .......... .......... .......... .......... .......... 18% 59.8M 1s
1300K .......... .......... .......... .......... .......... 19% 66.5M 1s
1350K .......... .......... .......... .......... .......... 20% 38.4M 1s
1400K .......... .......... .......... .......... .......... 21% 62.2M 1s
1450K .......... .......... .......... .......... .......... 21% 2.33M 1s
1500K .......... .......... .......... .......... .......... 22% 37.1M 1s
1550K .......... .......... .......... .......... .......... 23% 39.9M 1s
1600K .......... .......... .......... .......... .......... 23% 35.6M 1s
1650K .......... .......... .......... .......... .......... 24% 43.9M 1s
1700K .......... .......... .......... .......... .......... 25% 2.58M 1s
1750K .......... .......... .......... .......... .......... 26% 21.7M 1s
1800K .......... .......... .......... .......... .......... 26% 50.0M 1s
1850K .......... .......... .......... .......... .......... 27% 25.9M 1s
1900K .......... .......... .......... .......... .......... 28% 32.8M 1s
1950K .......... .......... .......... .......... .......... 29% 2.65M 1s
2000K .......... .......... .......... .......... .......... 29% 38.9M 1s
2050K .......... .......... .......... .......... .......... 30% 31.5M 1s
2100K .......... .......... .......... .......... .......... 31% 51.1M 1s
2150K .......... .......... .......... .......... .......... 31% 14.5M 1s
2200K .......... .......... .......... .......... .......... 32% 2.79M 1s
2250K .......... .......... .......... .......... .......... 33% 38.8M 1s
2300K .......... .......... .......... .......... .......... 34% 37.1M 1s
2350K .......... .......... .......... .......... .......... 34% 33.6M 1s
2400K .......... .......... .......... .......... .......... 35% 4.32M 1s
2450K .......... .......... .......... .......... .......... 36% 9.69M 1s
2500K .......... .......... .......... .......... .......... 37% 10.9M 1s
2550K .......... .......... .......... .......... .......... 37% 32.2M 1s
2600K .......... .......... .......... .......... .......... 38% 26.3M 1s
2650K .......... .......... .......... .......... .......... 39% 3.92M 1s
2700K .......... .......... .......... .......... .......... 39% 9.04M 1s
2750K .......... .......... .......... .......... .......... 40% 16.9M 0s
2800K .......... .......... .......... .......... .......... 41% 31.4M 0s
2850K .......... .......... .......... .......... .......... 42% 35.2M 0s
2900K .......... .......... .......... .......... .......... 42% 4.04M 0s
2950K .......... .......... .......... .......... .......... 43% 11.6M 0s
3000K .......... .......... .......... .......... .......... 44% 8.84M 0s
3050K .......... .......... .......... .......... .......... 45% 36.2M 0s
3100K .......... .......... .......... .......... .......... 45% 17.9M 0s
3150K .......... .......... .......... .......... .......... 46% 5.14M 0s
3200K .......... .......... .......... .......... .......... 47% 11.4M 0s
3250K .......... .......... .......... .......... .......... 47% 7.97M 0s
3300K .......... .......... .......... .......... .......... 48% 28.5M 0s
3350K .......... .......... .......... .......... .......... 49% 33.0M 0s
3400K .......... .......... .......... .......... .......... 50% 4.44M 0s
3450K .......... .......... .......... .......... .......... 50% 12.6M 0s
3500K .......... .......... .......... .......... .......... 51% 8.17M 0s
3550K .......... .......... .......... .......... .......... 52% 36.5M 0s
3600K .......... .......... .......... .......... .......... 53% 30.2M 0s
3650K .......... .......... .......... .......... .......... 53% 4.24M 0s
3700K .......... .......... .......... .......... .......... 54% 12.3M 0s
3750K .......... .......... .......... .......... .......... 55% 9.06M 0s
3800K .......... .......... .......... .......... .......... 55% 32.4M 0s
3850K .......... .......... .......... .......... .......... 56% 34.2M 0s
3900K .......... .......... .......... .......... .......... 57% 4.02M 0s
3950K .......... .......... .......... .......... .......... 58% 17.6M 0s
4000K .......... .......... .......... .......... .......... 58% 8.68M 0s
4050K .......... .......... .......... .......... .......... 59% 22.9M 0s
4100K .......... .......... .......... .......... .......... 60% 32.5M 0s
4150K .......... .......... .......... .......... .......... 61% 4.08M 0s
4200K .......... .......... .......... .......... .......... 61% 20.4M 0s
4250K .......... .......... .......... .......... .......... 62% 10.9M 0s
4300K .......... .......... .......... .......... .......... 63% 14.1M 0s
4350K .......... .......... .......... .......... .......... 63% 5.03M 0s
4400K .......... .......... .......... .......... .......... 64% 12.5M 0s
4450K .......... .......... .......... .......... .......... 65% 21.0M 0s
4500K .......... .......... .......... .......... .......... 66% 11.1M 0s
4550K .......... .......... .......... .......... .......... 66% 12.6M 0s
4600K .......... .......... .......... .......... .......... 67% 4.95M 0s
4650K .......... .......... .......... .......... .......... 68% 14.9M 0s
4700K .......... .......... .......... .......... .......... 69% 20.2M 0s
4750K .......... .......... .......... .......... .......... 69% 9.06M 0s
4800K .......... .......... .......... .......... .......... 70% 15.8M 0s
4850K .......... .......... .......... .......... .......... 71% 4.94M 0s
4900K .......... .......... .......... .......... .......... 71% 15.1M 0s
4950K .......... .......... .......... .......... .......... 72% 11.8M 0s
5000K .......... .......... .......... .......... .......... 73% 10.4M 0s
5050K .......... .......... .......... .......... .......... 74% 23.9M 0s
5100K .......... .......... .......... .......... .......... 74% 4.33M 0s
5150K .......... .......... .......... .......... .......... 75% 21.0M 0s
5200K .......... .......... .......... .......... .......... 76% 12.6M 0s
5250K .......... .......... .......... .......... .......... 77% 13.0M 0s
5300K .......... .......... .......... .......... .......... 77% 16.1M 0s
5350K .......... .......... .......... .......... .......... 78% 4.94M 0s
5400K .......... .......... .......... .......... .......... 79% 13.3M 0s
5450K .......... .......... .......... .......... .......... 79% 12.3M 0s
5500K .......... .......... .......... .......... .......... 80% 17.1M 0s
5550K .......... .......... .......... .......... .......... 81% 4.74M 0s
5600K .......... .......... .......... .......... .......... 82% 13.6M 0s
5650K .......... .......... .......... .......... .......... 82% 12.8M 0s
5700K .......... .......... .......... .......... .......... 83% 12.0M 0s
5750K .......... .......... .......... .......... .......... 84% 14.5M 0s
5800K .......... .......... .......... .......... .......... 85% 5.00M 0s
5850K .......... .......... .......... .......... .......... 85% 18.2M 0s
5900K .......... .......... .......... .......... .......... 86% 11.6M 0s
5950K .......... .......... .......... .......... .......... 87% 12.2M 0s
6000K .......... .......... .......... .......... .......... 87% 13.9M 0s
6050K .......... .......... .......... .......... .......... 88% 4.92M 0s
6100K .......... .......... .......... .......... .......... 89% 23.4M 0s
6150K .......... .......... .......... .......... .......... 90% 9.39M 0s
6200K .......... .......... .......... .......... .......... 90% 13.9M 0s
6250K .......... .......... .......... .......... .......... 91% 12.5M 0s
6300K .......... .......... .......... .......... .......... 92% 5.33M 0s
6350K .......... .......... .......... .......... .......... 93% 19.0M 0s
6400K .......... .......... .......... .......... .......... 93% 9.06M 0s
6450K .......... .......... .......... .......... .......... 94% 18.5M 0s
6500K .......... .......... .......... .......... .......... 95% 12.5M 0s
6550K .......... .......... .......... .......... .......... 95% 5.10M 0s
6600K .......... .......... .......... .......... .......... 96% 19.0M 0s
6650K .......... .......... .......... .......... .......... 97% 12.9M 0s
6700K .......... .......... .......... .......... .......... 98% 10.4M 0s
6750K .......... .......... .......... .......... .......... 98% 4.99M 0s
6800K .......... .......... .......... .......... .......... 99% 19.5M 0s
6850K .......... .......... .......... 100% 11.8M=0.7s
2025-09-28 09:44:43 (9.12 MB/s) - 'D:\\temp\\2025_09_28_01_50_00_11775\\RtmpuYfEPu\\filee7a422c73446' 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' [63s]
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 14:00:48-- 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\\RtmpQpYx2g\\file1d67c42182ed1'
0K .......... .......... .......... .......... .......... 0% 1.02M 7s
50K .......... .......... .......... .......... .......... 1% 2.04M 5s
100K .......... .......... .......... .......... .......... 2% 18.7M 3s
150K .......... .......... .......... .......... .......... 2% 24.3M 3s
200K .......... .......... .......... .......... .......... 3% 2.23M 3s
250K .......... .......... .......... .......... .......... 4% 22.1M 2s
300K .......... .......... .......... .......... .......... 5% 23.1M 2s
350K .......... .......... .......... .......... .......... 5% 17.9M 2s
400K .......... .......... .......... .......... .......... 6% 3.06M 2s
450K .......... .......... .......... .......... .......... 7% 13.3M 2s
500K .......... .......... .......... .......... .......... 7% 24.1M 1s
550K .......... .......... .......... .......... .......... 8% 29.1M 1s
600K .......... .......... .......... .......... .......... 9% 24.9M 1s
650K .......... .......... .......... .......... .......... 10% 2.73M 1s
700K .......... .......... .......... .......... .......... 10% 19.9M 1s
750K .......... .......... .......... .......... .......... 11% 30.3M 1s
800K .......... .......... .......... .......... .......... 12% 29.0M 1s
850K .......... .......... .......... .......... .......... 13% 24.3M 1s
900K .......... .......... .......... .......... .......... 13% 3.04M 1s
950K .......... .......... .......... .......... .......... 14% 8.87M 1s
1000K .......... .......... .......... .......... .......... 15% 21.2M 1s
1050K .......... .......... .......... .......... .......... 15% 28.6M 1s
1100K .......... .......... .......... .......... .......... 16% 25.9M 1s
1150K .......... .......... .......... .......... .......... 17% 30.2M 1s
1200K .......... .......... .......... .......... .......... 18% 2.75M 1s
1250K .......... .......... .......... .......... .......... 18% 28.4M 1s
1300K .......... .......... .......... .......... .......... 19% 29.0M 1s
1350K .......... .......... .......... .......... .......... 20% 26.4M 1s
1400K .......... .......... .......... .......... .......... 21% 23.5M 1s
1450K .......... .......... .......... .......... .......... 21% 2.74M 1s
1500K .......... .......... .......... .......... .......... 22% 25.8M 1s
1550K .......... .......... .......... .......... .......... 23% 23.3M 1s
1600K .......... .......... .......... .......... .......... 23% 25.1M 1s
1650K .......... .......... .......... .......... .......... 24% 28.7M 1s
1700K .......... .......... .......... .......... .......... 25% 2.68M 1s
1750K .......... .......... .......... .......... .......... 26% 33.3M 1s
1800K .......... .......... .......... .......... .......... 26% 33.3M 1s
1850K .......... .......... .......... .......... .......... 27% 29.1M 1s
1900K .......... .......... .......... .......... .......... 28% 25.3M 1s
1950K .......... .......... .......... .......... .......... 29% 2.72M 1s
2000K .......... .......... .......... .......... .......... 29% 31.4M 1s
2050K .......... .......... .......... .......... .......... 30% 30.0M 1s
2100K .......... .......... .......... .......... .......... 31% 22.1M 1s
2150K .......... .......... .......... .......... .......... 31% 30.7M 1s
2200K .......... .......... .......... .......... .......... 32% 2.71M 1s
2250K .......... .......... .......... .......... .......... 33% 20.0M 1s
2300K .......... .......... .......... .......... .......... 34% 31.0M 1s
2350K .......... .......... .......... .......... .......... 34% 24.1M 1s
2400K .......... .......... .......... .......... .......... 35% 27.3M 1s
2450K .......... .......... .......... .......... .......... 36% 2.79M 1s
2500K .......... .......... .......... .......... .......... 37% 26.3M 1s
2550K .......... .......... .......... .......... .......... 37% 23.8M 1s
2600K .......... .......... .......... .......... .......... 38% 37.8M 1s
2650K .......... .......... .......... .......... .......... 39% 44.0M 1s
2700K .......... .......... .......... .......... .......... 39% 2.63M 1s
2750K .......... .......... .......... .......... .......... 40% 19.3M 1s
2800K .......... .......... .......... .......... .......... 41% 31.0M 1s
2850K .......... .......... .......... .......... .......... 42% 27.3M 0s
2900K .......... .......... .......... .......... .......... 42% 29.0M 0s
2950K .......... .......... .......... .......... .......... 43% 2.01M 0s
3000K .......... .......... .......... .......... .......... 44% 28.6M 0s
3050K .......... .......... .......... .......... .......... 45% 28.8M 0s
3100K .......... .......... .......... .......... .......... 45% 20.1M 0s
3150K .......... .......... .......... .......... .......... 46% 29.2M 0s
3200K .......... .......... .......... .......... .......... 47% 2.33M 0s
3250K .......... .......... .......... .......... .......... 47% 24.7M 0s
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3350K .......... .......... .......... .......... .......... 49% 17.5M 0s
3400K .......... .......... .......... .......... .......... 50% 36.0M 0s
3450K .......... .......... .......... .......... .......... 50% 2.92M 0s
3500K .......... .......... .......... .......... .......... 51% 32.5M 0s
3550K .......... .......... .......... .......... .......... 52% 31.7M 0s
3600K .......... .......... .......... .......... .......... 53% 28.6M 0s
3650K .......... .......... .......... .......... .......... 53% 34.9M 0s
3700K .......... .......... .......... .......... .......... 54% 1.88M 0s
3750K .......... .......... .......... .......... .......... 55% 29.8M 0s
3800K .......... .......... .......... .......... .......... 55% 26.4M 0s
3850K .......... .......... .......... .......... .......... 56% 20.4M 0s
3900K .......... .......... .......... .......... .......... 57% 30.6M 0s
3950K .......... .......... .......... .......... .......... 58% 2.65M 0s
4000K .......... .......... .......... .......... .......... 58% 27.9M 0s
4050K .......... .......... .......... .......... .......... 59% 29.9M 0s
4100K .......... .......... .......... .......... .......... 60% 24.1M 0s
4150K .......... .......... .......... .......... .......... 61% 28.7M 0s
4200K .......... .......... .......... .......... .......... 61% 2.79M 0s
4250K .......... .......... .......... .......... .......... 62% 25.7M 0s
4300K .......... .......... .......... .......... .......... 63% 30.2M 0s
4350K .......... .......... .......... .......... .......... 63% 25.2M 0s
4400K .......... .......... .......... .......... .......... 64% 30.5M 0s
4450K .......... .......... .......... .......... .......... 65% 26.1M 0s
4500K .......... .......... .......... .......... .......... 66% 1.15M 0s
4550K .......... .......... .......... .......... .......... 66% 23.9M 0s
4600K .......... .......... .......... .......... .......... 67% 17.6M 0s
4650K .......... .......... .......... .......... .......... 68% 22.4M 0s
4700K .......... .......... .......... .......... .......... 69% 20.5M 0s
4750K .......... .......... .......... .......... .......... 69% 2.81M 0s
4800K .......... .......... .......... .......... .......... 70% 28.2M 0s
4850K .......... .......... .......... .......... .......... 71% 19.0M 0s
4900K .......... .......... .......... .......... .......... 71% 25.2M 0s
4950K .......... .......... .......... .......... .......... 72% 25.6M 0s
5000K .......... .......... .......... .......... .......... 73% 2.96M 0s
5050K .......... .......... .......... .......... .......... 74% 27.2M 0s
5100K .......... .......... .......... .......... .......... 74% 32.0M 0s
5150K .......... .......... .......... .......... .......... 75% 38.6M 0s
5200K .......... .......... .......... .......... .......... 76% 24.6M 0s
5250K .......... .......... .......... .......... .......... 77% 2.72M 0s
5300K .......... .......... .......... .......... .......... 77% 26.9M 0s
5350K .......... .......... .......... .......... .......... 78% 23.8M 0s
5400K .......... .......... .......... .......... .......... 79% 28.8M 0s
5450K .......... .......... .......... .......... .......... 79% 25.2M 0s
5500K .......... .......... .......... .......... .......... 80% 2.83M 0s
5550K .......... .......... .......... .......... .......... 81% 22.8M 0s
5600K .......... .......... .......... .......... .......... 82% 20.6M 0s
5650K .......... .......... .......... .......... .......... 82% 29.8M 0s
5700K .......... .......... .......... .......... .......... 83% 25.4M 0s
5750K .......... .......... .......... .......... .......... 84% 2.91M 0s
5800K .......... .......... .......... .......... .......... 85% 25.2M 0s
5850K .......... .......... .......... .......... .......... 85% 21.7M 0s
5900K .......... .......... .......... .......... .......... 86% 31.0M 0s
5950K .......... .......... .......... .......... .......... 87% 26.0M 0s
6000K .......... .......... .......... .......... .......... 87% 2.80M 0s
6050K .......... .......... .......... .......... .......... 88% 26.2M 0s
6100K .......... .......... .......... .......... .......... 89% 12.8M 0s
6150K .......... .......... .......... .......... .......... 90% 36.6M 0s
6200K .......... .......... .......... .......... .......... 90% 39.9M 0s
6250K .......... .......... .......... .......... .......... 91% 3.12M 0s
6300K .......... .......... .......... .......... .......... 92% 16.5M 0s
6350K .......... .......... .......... .......... .......... 93% 22.6M 0s
6400K .......... .......... .......... .......... .......... 93% 16.4M 0s
6450K .......... .......... .......... .......... .......... 94% 43.4M 0s
6500K .......... .......... .......... .......... .......... 95% 50.4M 0s
6550K .......... .......... .......... .......... .......... 95% 2.78M 0s
6600K .......... .......... .......... .......... .......... 96% 14.1M 0s
6650K .......... .......... .......... .......... .......... 97% 19.8M 0s
6700K .......... .......... .......... .......... .......... 98% 25.3M 0s
6750K .......... .......... .......... .......... .......... 98% 26.6M 0s
6800K .......... .......... .......... .......... .......... 99% 3.23M 0s
6850K .......... .......... .......... 100% 13.6M=0.8s
2025-09-29 14:00:50 (8.37 MB/s) - 'D:\\temp\\2025_09_29_01_50_00_31777\\RtmpQpYx2g\\file1d67c42182ed1' 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