Last updated on 2025-09-22 21:48:46 CEST.
Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
---|---|---|---|---|---|---|
r-devel-linux-x86_64-debian-clang | 0.0.4 | 2.13 | 29.32 | 31.45 | ERROR | |
r-devel-linux-x86_64-debian-gcc | 0.0.4 | 1.53 | 23.47 | 25.00 | ERROR | |
r-devel-linux-x86_64-fedora-clang | 0.0.4 | 48.23 | ERROR | |||
r-devel-linux-x86_64-fedora-gcc | 0.0.4 | 57.22 | ERROR | |||
r-devel-windows-x86_64 | 0.0.4 | 4.00 | 151.00 | 155.00 | OK | |
r-patched-linux-x86_64 | 0.0.4 | 2.09 | 27.20 | 29.29 | ERROR | |
r-release-linux-x86_64 | 0.0.4 | 2.18 | 27.13 | 29.31 | 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 | 115.00 | 119.00 | 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 | 109.00 | 114.00 | 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-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/56s]
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/66s]
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’ [4s/65s]
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’ [3s/50s]
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’ [3s/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")
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-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.
--2025-09-17 17:24:35-- 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_17_11_27_52_3281\\Rtmpuo48ij\\file102d850ca7e98'
0K .......... .......... .......... .......... .......... 0% 658K 10s
50K .......... .......... .......... .......... .......... 1% 1.85M 7s
100K .......... .......... .......... .......... .......... 2% 1.83M 6s
150K .......... .......... .......... .......... .......... 2% 21.1M 4s
200K .......... .......... .......... .......... .......... 3% 1.99M 4s
250K .......... .......... .......... .......... .......... 4% 26.0M 3s
300K .......... .......... .......... .......... .......... 5% 32.6M 3s
350K .......... .......... .......... .......... .......... 5% 29.7M 3s
400K .......... .......... .......... .......... .......... 6% 2.23M 3s
450K .......... .......... .......... .......... .......... 7% 28.0M 2s
500K .......... .......... .......... .......... .......... 7% 50.2M 2s
550K .......... .......... .......... .......... .......... 8% 52.4M 2s
600K .......... .......... .......... .......... .......... 9% 23.1M 2s
650K .......... .......... .......... .......... .......... 10% 2.24M 2s
700K .......... .......... .......... .......... .......... 10% 24.9M 2s
750K .......... .......... .......... .......... .......... 11% 31.1M 2s
800K .......... .......... .......... .......... .......... 12% 30.2M 2s
850K .......... .......... .......... .......... .......... 13% 27.2M 1s
900K .......... .......... .......... .......... .......... 13% 2.51M 1s
950K .......... .......... .......... .......... .......... 14% 17.8M 1s
1000K .......... .......... .......... .......... .......... 15% 56.9M 1s
1050K .......... .......... .......... .......... .......... 15% 32.9M 1s
1100K .......... .......... .......... .......... .......... 16% 26.7M 1s
1150K .......... .......... .......... .......... .......... 17% 2.38M 1s
1200K .......... .......... .......... .......... .......... 18% 22.1M 1s
1250K .......... .......... .......... .......... .......... 18% 28.0M 1s
1300K .......... .......... .......... .......... .......... 19% 36.1M 1s
1350K .......... .......... .......... .......... .......... 20% 38.7M 1s
1400K .......... .......... .......... .......... .......... 21% 2.86M 1s
1450K .......... .......... .......... .......... .......... 21% 3.00M 1s
1500K .......... .......... .......... .......... .......... 22% 34.9M 1s
1550K .......... .......... .......... .......... .......... 23% 35.8M 1s
1600K .......... .......... .......... .......... .......... 23% 29.1M 1s
1650K .......... .......... .......... .......... .......... 24% 32.2M 1s
1700K .......... .......... .......... .......... .......... 25% 4.47M 1s
1750K .......... .......... .......... .......... .......... 26% 30.8M 1s
1800K .......... .......... .......... .......... .......... 26% 26.3M 1s
1850K .......... .......... .......... .......... .......... 27% 7.02M 1s
1900K .......... .......... .......... .......... .......... 28% 5.26M 1s
1950K .......... .......... .......... .......... .......... 29% 6.59M 1s
2000K .......... .......... .......... .......... .......... 29% 32.0M 1s
2050K .......... .......... .......... .......... .......... 30% 26.2M 1s
2100K .......... .......... .......... .......... .......... 31% 6.33M 1s
2150K .......... .......... .......... .......... .......... 31% 6.08M 1s
2200K .......... .......... .......... .......... .......... 32% 5.69M 1s
2250K .......... .......... .......... .......... .......... 33% 48.7M 1s
2300K .......... .......... .......... .......... .......... 34% 33.5M 1s
2350K .......... .......... .......... .......... .......... 34% 5.97M 1s
2400K .......... .......... .......... .......... .......... 35% 5.24M 1s
2450K .......... .......... .......... .......... .......... 36% 7.14M 1s
2500K .......... .......... .......... .......... .......... 37% 10.9M 1s
2550K .......... .......... .......... .......... .......... 37% 6.85M 1s
2600K .......... .......... .......... .......... .......... 38% 8.30M 1s
2650K .......... .......... .......... .......... .......... 39% 15.6M 1s
2700K .......... .......... .......... .......... .......... 39% 3.56M 1s
2750K .......... .......... .......... .......... .......... 40% 15.1M 1s
2800K .......... .......... .......... .......... .......... 41% 4.68M 1s
2850K .......... .......... .......... .......... .......... 42% 8.91M 1s
2900K .......... .......... .......... .......... .......... 42% 17.8M 1s
2950K .......... .......... .......... .......... .......... 43% 5.20M 1s
3000K .......... .......... .......... .......... .......... 44% 13.3M 1s
3050K .......... .......... .......... .......... .......... 45% 5.84M 1s
3100K .......... .......... .......... .......... .......... 45% 8.49M 1s
3150K .......... .......... .......... .......... .......... 46% 21.3M 1s
3200K .......... .......... .......... .......... .......... 47% 3.86M 1s
3250K .......... .......... .......... .......... .......... 47% 57.6M 1s
3300K .......... .......... .......... .......... .......... 48% 6.47M 1s
3350K .......... .......... .......... .......... .......... 49% 11.8M 1s
3400K .......... .......... .......... .......... .......... 50% 6.82M 1s
3450K .......... .......... .......... .......... .......... 50% 6.74M 1s
3500K .......... .......... .......... .......... .......... 51% 34.6M 0s
3550K .......... .......... .......... .......... .......... 52% 5.24M 0s
3600K .......... .......... .......... .......... .......... 53% 21.9M 0s
3650K .......... .......... .......... .......... .......... 53% 7.81M 0s
3700K .......... .......... .......... .......... .......... 54% 6.14M 0s
3750K .......... .......... .......... .......... .......... 55% 33.3M 0s
3800K .......... .......... .......... .......... .......... 55% 5.14M 0s
3850K .......... .......... .......... .......... .......... 56% 24.6M 0s
3900K .......... .......... .......... .......... .......... 57% 8.13M 0s
3950K .......... .......... .......... .......... .......... 58% 5.78M 0s
4000K .......... .......... .......... .......... .......... 58% 33.2M 0s
4050K .......... .......... .......... .......... .......... 59% 6.03M 0s
4100K .......... .......... .......... .......... .......... 60% 15.8M 0s
4150K .......... .......... .......... .......... .......... 61% 6.22M 0s
4200K .......... .......... .......... .......... .......... 61% 7.73M 0s
4250K .......... .......... .......... .......... .......... 62% 6.65M 0s
4300K .......... .......... .......... .......... .......... 63% 7.89M 0s
4350K .......... .......... .......... .......... .......... 63% 10.4M 0s
4400K .......... .......... .......... .......... .......... 64% 10.2M 0s
4450K .......... .......... .......... .......... .......... 65% 4.66M 0s
4500K .......... .......... .......... .......... .......... 66% 4.03M 0s
4550K .......... .......... .......... .......... .......... 66% 11.3M 0s
4600K .......... .......... .......... .......... .......... 67% 28.8M 0s
4650K .......... .......... .......... .......... .......... 68% 38.6M 0s
4700K .......... .......... .......... .......... .......... 69% 3.39M 0s
4750K .......... .......... .......... .......... .......... 69% 4.90M 0s
4800K .......... .......... .......... .......... .......... 70% 29.8M 0s
4850K .......... .......... .......... .......... .......... 71% 27.7M 0s
4900K .......... .......... .......... .......... .......... 71% 29.3M 0s
4950K .......... .......... .......... .......... .......... 72% 3.29M 0s
5000K .......... .......... .......... .......... .......... 73% 7.19M 0s
5050K .......... .......... .......... .......... .......... 74% 44.7M 0s
5100K .......... .......... .......... .......... .......... 74% 41.2M 0s
5150K .......... .......... .......... .......... .......... 75% 56.4M 0s
5200K .......... .......... .......... .......... .......... 76% 2.33M 0s
5250K .......... .......... .......... .......... .......... 77% 14.9M 0s
5300K .......... .......... .......... .......... .......... 77% 37.3M 0s
5350K .......... .......... .......... .......... .......... 78% 32.6M 0s
5400K .......... .......... .......... .......... .......... 79% 10.1M 0s
5450K .......... .......... .......... .......... .......... 79% 2.96M 0s
5500K .......... .......... .......... .......... .......... 80% 18.8M 0s
5550K .......... .......... .......... .......... .......... 81% 22.2M 0s
5600K .......... .......... .......... .......... .......... 82% 31.7M 0s
5650K .......... .......... .......... .......... .......... 82% 10.2M 0s
5700K .......... .......... .......... .......... .......... 83% 3.43M 0s
5750K .......... .......... .......... .......... .......... 84% 13.2M 0s
5800K .......... .......... .......... .......... .......... 85% 15.6M 0s
5850K .......... .......... .......... .......... .......... 85% 11.9M 0s
5900K .......... .......... .......... .......... .......... 86% 30.0M 0s
5950K .......... .......... .......... .......... .......... 87% 3.21M 0s
6000K .......... .......... .......... .......... .......... 87% 13.6M 0s
6050K .......... .......... .......... .......... .......... 88% 15.3M 0s
6100K .......... .......... .......... .......... .......... 89% 14.0M 0s
6150K .......... .......... .......... .......... .......... 90% 20.1M 0s
6200K .......... .......... .......... .......... .......... 90% 3.33M 0s
6250K .......... .......... .......... .......... .......... 91% 11.9M 0s
6300K .......... .......... .......... .......... .......... 92% 10.6M 0s
6350K .......... .......... .......... .......... .......... 93% 30.3M 0s
6400K .......... .......... .......... .......... .......... 93% 5.00M 0s
6450K .......... .......... .......... .......... .......... 94% 4.73M 0s
6500K .......... .......... .......... .......... .......... 95% 28.6M 0s
6550K .......... .......... .......... .......... .......... 95% 3.75M 0s
6600K .......... .......... .......... .......... .......... 96% 18.3M 0s
6650K .......... .......... .......... .......... .......... 97% 2.99M 0s
6700K .......... .......... .......... .......... .......... 98% 29.3M 0s
6750K .......... .......... .......... .......... .......... 98% 11.3M 0s
6800K .......... .......... .......... .......... .......... 99% 496K 0s
6850K .......... .......... .......... 100% 28.7M=1.0s
2025-09-17 17:24:37 (6.61 MB/s) - 'D:\\temp\\2025_09_17_11_27_52_3281\\Rtmpuo48ij\\file102d850ca7e98' 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' [59s]
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.
--2025-09-17 17:45:50-- 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_17_01_50_00_21129\\Rtmpa6rjSv\\file1382819fc4243'
0K .......... .......... .......... .......... .......... 0% 914K 7s
50K .......... .......... .......... .......... .......... 1% 1.84M 6s
100K .......... .......... .......... .......... .......... 2% 1.70M 5s
150K .......... .......... .......... .......... .......... 2% 27.2M 4s
200K .......... .......... .......... .......... .......... 3% 1.93M 4s
250K .......... .......... .......... .......... .......... 4% 23.4M 3s
300K .......... .......... .......... .......... .......... 5% 29.4M 3s
350K .......... .......... .......... .......... .......... 5% 25.7M 2s
400K .......... .......... .......... .......... .......... 6% 2.27M 2s
450K .......... .......... .......... .......... .......... 7% 19.7M 2s
500K .......... .......... .......... .......... .......... 7% 28.5M 2s
550K .......... .......... .......... .......... .......... 8% 27.5M 2s
600K .......... .......... .......... .......... .......... 9% 24.4M 2s
650K .......... .......... .......... .......... .......... 10% 2.58M 2s
700K .......... .......... .......... .......... .......... 10% 14.3M 2s
750K .......... .......... .......... .......... .......... 11% 30.6M 1s
800K .......... .......... .......... .......... .......... 12% 28.9M 1s
850K .......... .......... .......... .......... .......... 13% 25.4M 1s
900K .......... .......... .......... .......... .......... 13% 31.4M 1s
950K .......... .......... .......... .......... .......... 14% 2.32M 1s
1000K .......... .......... .......... .......... .......... 15% 31.5M 1s
1050K .......... .......... .......... .......... .......... 15% 36.3M 1s
1100K .......... .......... .......... .......... .......... 16% 26.9M 1s
1150K .......... .......... .......... .......... .......... 17% 28.9M 1s
1200K .......... .......... .......... .......... .......... 18% 2.24M 1s
1250K .......... .......... .......... .......... .......... 18% 30.5M 1s
1300K .......... .......... .......... .......... .......... 19% 33.1M 1s
1350K .......... .......... .......... .......... .......... 20% 27.8M 1s
1400K .......... .......... .......... .......... .......... 21% 31.4M 1s
1450K .......... .......... .......... .......... .......... 21% 2.22M 1s
1500K .......... .......... .......... .......... .......... 22% 30.1M 1s
1550K .......... .......... .......... .......... .......... 23% 30.6M 1s
1600K .......... .......... .......... .......... .......... 23% 24.8M 1s
1650K .......... .......... .......... .......... .......... 24% 2.87M 1s
1700K .......... .......... .......... .......... .......... 25% 8.80M 1s
1750K .......... .......... .......... .......... .......... 26% 27.5M 1s
1800K .......... .......... .......... .......... .......... 26% 30.9M 1s
1850K .......... .......... .......... .......... .......... 27% 26.0M 1s
1900K .......... .......... .......... .......... .......... 28% 28.5M 1s
1950K .......... .......... .......... .......... .......... 29% 2.33M 1s
2000K .......... .......... .......... .......... .......... 29% 28.8M 1s
2050K .......... .......... .......... .......... .......... 30% 27.1M 1s
2100K .......... .......... .......... .......... .......... 31% 27.1M 1s
2150K .......... .......... .......... .......... .......... 31% 28.4M 1s
2200K .......... .......... .......... .......... .......... 32% 2.31M 1s
2250K .......... .......... .......... .......... .......... 33% 27.4M 1s
2300K .......... .......... .......... .......... .......... 34% 28.4M 1s
2350K .......... .......... .......... .......... .......... 34% 23.8M 1s
2400K .......... .......... .......... .......... .......... 35% 30.3M 1s
2450K .......... .......... .......... .......... .......... 36% 2.49M 1s
2500K .......... .......... .......... .......... .......... 37% 18.0M 1s
2550K .......... .......... .......... .......... .......... 37% 30.3M 1s
2600K .......... .......... .......... .......... .......... 38% 28.0M 1s
2650K .......... .......... .......... .......... .......... 39% 29.0M 1s
2700K .......... .......... .......... .......... .......... 39% 2.47M 1s
2750K .......... .......... .......... .......... .......... 40% 15.6M 1s
2800K .......... .......... .......... .......... .......... 41% 34.8M 1s
2850K .......... .......... .......... .......... .......... 42% 32.6M 1s
2900K .......... .......... .......... .......... .......... 42% 48.2M 1s
2950K .......... .......... .......... .......... .......... 43% 2.30M 1s
3000K .......... .......... .......... .......... .......... 44% 18.0M 1s
3050K .......... .......... .......... .......... .......... 45% 30.6M 1s
3100K .......... .......... .......... .......... .......... 45% 25.5M 1s
3150K .......... .......... .......... .......... .......... 46% 34.4M 1s
3200K .......... .......... .......... .......... .......... 47% 2.41M 1s
3250K .......... .......... .......... .......... .......... 47% 17.2M 1s
3300K .......... .......... .......... .......... .......... 48% 24.8M 1s
3350K .......... .......... .......... .......... .......... 49% 30.2M 0s
3400K .......... .......... .......... .......... .......... 50% 34.6M 0s
3450K .......... .......... .......... .......... .......... 50% 2.38M 0s
3500K .......... .......... .......... .......... .......... 51% 17.2M 0s
3550K .......... .......... .......... .......... .......... 52% 25.9M 0s
3600K .......... .......... .......... .......... .......... 53% 24.1M 0s
3650K .......... .......... .......... .......... .......... 53% 29.1M 0s
3700K .......... .......... .......... .......... .......... 54% 2.66M 0s
3750K .......... .......... .......... .......... .......... 55% 11.5M 0s
3800K .......... .......... .......... .......... .......... 55% 24.1M 0s
3850K .......... .......... .......... .......... .......... 56% 26.2M 0s
3900K .......... .......... .......... .......... .......... 57% 36.6M 0s
3950K .......... .......... .......... .......... .......... 58% 2.95M 0s
4000K .......... .......... .......... .......... .......... 58% 8.25M 0s
4050K .......... .......... .......... .......... .......... 59% 23.1M 0s
4100K .......... .......... .......... .......... .......... 60% 24.7M 0s
4150K .......... .......... .......... .......... .......... 61% 4.47M 0s
4200K .......... .......... .......... .......... .......... 61% 6.55M 0s
4250K .......... .......... .......... .......... .......... 62% 9.99M 0s
4300K .......... .......... .......... .......... .......... 63% 18.7M 0s
4350K .......... .......... .......... .......... .......... 63% 19.5M 0s
4400K .......... .......... .......... .......... .......... 64% 4.87M 0s
4450K .......... .......... .......... .......... .......... 65% 6.13M 0s
4500K .......... .......... .......... .......... .......... 66% 9.43M 0s
4550K .......... .......... .......... .......... .......... 66% 18.8M 0s
4600K .......... .......... .......... .......... .......... 67% 19.4M 0s
4650K .......... .......... .......... .......... .......... 68% 5.32M 0s
4700K .......... .......... .......... .......... .......... 69% 5.87M 0s
4750K .......... .......... .......... .......... .......... 69% 8.74M 0s
4800K .......... .......... .......... .......... .......... 70% 26.3M 0s
4850K .......... .......... .......... .......... .......... 71% 29.6M 0s
4900K .......... .......... .......... .......... .......... 71% 4.63M 0s
4950K .......... .......... .......... .......... .......... 72% 5.66M 0s
5000K .......... .......... .......... .......... .......... 73% 8.20M 0s
5050K .......... .......... .......... .......... .......... 74% 35.7M 0s
5100K .......... .......... .......... .......... .......... 74% 16.4M 0s
5150K .......... .......... .......... .......... .......... 75% 3.19M 0s
5200K .......... .......... .......... .......... .......... 76% 26.2M 0s
5250K .......... .......... .......... .......... .......... 77% 8.51M 0s
5300K .......... .......... .......... .......... .......... 77% 19.0M 0s
5350K .......... .......... .......... .......... .......... 78% 23.5M 0s
5400K .......... .......... .......... .......... .......... 79% 3.08M 0s
5450K .......... .......... .......... .......... .......... 79% 20.9M 0s
5500K .......... .......... .......... .......... .......... 80% 13.8M 0s
5550K .......... .......... .......... .......... .......... 81% 12.7M 0s
5600K .......... .......... .......... .......... .......... 82% 13.9M 0s
5650K .......... .......... .......... .......... .......... 82% 3.30M 0s
5700K .......... .......... .......... .......... .......... 83% 14.1M 0s
5750K .......... .......... .......... .......... .......... 84% 17.3M 0s
5800K .......... .......... .......... .......... .......... 85% 11.9M 0s
5850K .......... .......... .......... .......... .......... 85% 15.8M 0s
5900K .......... .......... .......... .......... .......... 86% 3.01M 0s
5950K .......... .......... .......... .......... .......... 87% 26.2M 0s
6000K .......... .......... .......... .......... .......... 87% 21.1M 0s
6050K .......... .......... .......... .......... .......... 88% 8.36M 0s
6100K .......... .......... .......... .......... .......... 89% 8.51M 0s
6150K .......... .......... .......... .......... .......... 90% 4.06M 0s
6200K .......... .......... .......... .......... .......... 90% 23.6M 0s
6250K .......... .......... .......... .......... .......... 91% 17.3M 0s
6300K .......... .......... .......... .......... .......... 92% 9.39M 0s
6350K .......... .......... .......... .......... .......... 93% 7.99M 0s
6400K .......... .......... .......... .......... .......... 93% 6.60M 0s
6450K .......... .......... .......... .......... .......... 94% 6.50M 0s
6500K .......... .......... .......... .......... .......... 95% 28.7M 0s
6550K .......... .......... .......... .......... .......... 95% 5.53M 0s
6600K .......... .......... .......... .......... .......... 96% 9.58M 0s
6650K .......... .......... .......... .......... .......... 97% 10.5M 0s
6700K .......... .......... .......... .......... .......... 98% 6.09M 0s
6750K .......... .......... .......... .......... .......... 98% 29.2M 0s
6800K .......... .......... .......... .......... .......... 99% 5.87M 0s
6850K .......... .......... .......... 100% 7.87M=0.9s
2025-09-17 17:45:51 (7.64 MB/s) - 'D:\\temp\\2025_09_17_01_50_00_21129\\Rtmpa6rjSv\\file1382819fc4243' 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