Last updated on 2025-09-27 10:49:38 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 | 1.76 | 23.51 | 25.27 | 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 | 2.18 | 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 | 123.00 | 127.00 | 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 | 6.00 | 118.00 | 124.00 | 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/76s]
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/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’ [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' [76s]
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.
--2025-09-24 12:14:22-- 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_24_01_50_00_30071\\RtmpwLzs87\\file187404c07ae1'
0K .......... .......... .......... .......... .......... 0% 926K 7s
50K .......... .......... .......... .......... .......... 1% 1.79M 6s
100K .......... .......... .......... .......... .......... 2% 31.4M 4s
150K .......... .......... .......... .......... .......... 2% 40.6M 3s
200K .......... .......... .......... .......... .......... 3% 1.86M 3s
250K .......... .......... .......... .......... .......... 4% 36.7M 2s
300K .......... .......... .......... .......... .......... 5% 39.6M 2s
350K .......... .......... .......... .......... .......... 5% 35.3M 2s
400K .......... .......... .......... .......... .......... 6% 2.14M 2s
450K .......... .......... .......... .......... .......... 7% 29.6M 2s
500K .......... .......... .......... .......... .......... 7% 30.6M 2s
550K .......... .......... .......... .......... .......... 8% 31.9M 1s
600K .......... .......... .......... .......... .......... 9% 29.3M 1s
650K .......... .......... .......... .......... .......... 10% 2.34M 1s
700K .......... .......... .......... .......... .......... 10% 16.2M 1s
750K .......... .......... .......... .......... .......... 11% 29.4M 1s
800K .......... .......... .......... .......... .......... 12% 32.6M 1s
850K .......... .......... .......... .......... .......... 13% 32.4M 1s
900K .......... .......... .......... .......... .......... 13% 2.38M 1s
950K .......... .......... .......... .......... .......... 14% 25.5M 1s
1000K .......... .......... .......... .......... .......... 15% 35.2M 1s
1050K .......... .......... .......... .......... .......... 15% 47.8M 1s
1100K .......... .......... .......... .......... .......... 16% 29.1M 1s
1150K .......... .......... .......... .......... .......... 17% 34.9M 1s
1200K .......... .......... .......... .......... .......... 18% 2.12M 1s
1250K .......... .......... .......... .......... .......... 18% 35.8M 1s
1300K .......... .......... .......... .......... .......... 19% 39.4M 1s
1350K .......... .......... .......... .......... .......... 20% 30.8M 1s
1400K .......... .......... .......... .......... .......... 21% 30.3M 1s
1450K .......... .......... .......... .......... .......... 21% 2.20M 1s
1500K .......... .......... .......... .......... .......... 22% 31.4M 1s
1550K .......... .......... .......... .......... .......... 23% 36.8M 1s
1600K .......... .......... .......... .......... .......... 23% 28.7M 1s
1650K .......... .......... .......... .......... .......... 24% 29.9M 1s
1700K .......... .......... .......... .......... .......... 25% 2.26M 1s
1750K .......... .......... .......... .......... .......... 26% 29.1M 1s
1800K .......... .......... .......... .......... .......... 26% 32.9M 1s
1850K .......... .......... .......... .......... .......... 27% 28.0M 1s
1900K .......... .......... .......... .......... .......... 28% 30.0M 1s
1950K .......... .......... .......... .......... .......... 29% 2.27M 1s
2000K .......... .......... .......... .......... .......... 29% 36.5M 1s
2050K .......... .......... .......... .......... .......... 30% 32.1M 1s
2100K .......... .......... .......... .......... .......... 31% 31.5M 1s
2150K .......... .......... .......... .......... .......... 31% 35.0M 1s
2200K .......... .......... .......... .......... .......... 32% 2.23M 1s
2250K .......... .......... .......... .......... .......... 33% 26.5M 1s
2300K .......... .......... .......... .......... .......... 34% 28.5M 1s
2350K .......... .......... .......... .......... .......... 34% 32.2M 1s
2400K .......... .......... .......... .......... .......... 35% 40.9M 1s
2450K .......... .......... .......... .......... .......... 36% 2.22M 1s
2500K .......... .......... .......... .......... .......... 37% 30.8M 1s
2550K .......... .......... .......... .......... .......... 37% 34.2M 1s
2600K .......... .......... .......... .......... .......... 38% 31.4M 1s
2650K .......... .......... .......... .......... .......... 39% 37.4M 1s
2700K .......... .......... .......... .......... .......... 39% 2.28M 1s
2750K .......... .......... .......... .......... .......... 40% 18.1M 1s
2800K .......... .......... .......... .......... .......... 41% 28.2M 1s
2850K .......... .......... .......... .......... .......... 42% 26.1M 1s
2900K .......... .......... .......... .......... .......... 42% 30.4M 1s
2950K .......... .......... .......... .......... .......... 43% 2.67M 1s
3000K .......... .......... .......... .......... .......... 44% 11.6M 1s
3050K .......... .......... .......... .......... .......... 45% 33.2M 1s
3100K .......... .......... .......... .......... .......... 45% 28.2M 1s
3150K .......... .......... .......... .......... .......... 46% 45.7M 0s
3200K .......... .......... .......... .......... .......... 47% 2.83M 0s
3250K .......... .......... .......... .......... .......... 47% 8.09M 0s
3300K .......... .......... .......... .......... .......... 48% 27.1M 0s
3350K .......... .......... .......... .......... .......... 49% 32.6M 0s
3400K .......... .......... .......... .......... .......... 50% 36.7M 0s
3450K .......... .......... .......... .......... .......... 50% 2.81M 0s
3500K .......... .......... .......... .......... .......... 51% 7.63M 0s
3550K .......... .......... .......... .......... .......... 52% 30.1M 0s
3600K .......... .......... .......... .......... .......... 53% 28.4M 0s
3650K .......... .......... .......... .......... .......... 53% 36.2M 0s
3700K .......... .......... .......... .......... .......... 54% 2.82M 0s
3750K .......... .......... .......... .......... .......... 55% 7.72M 0s
3800K .......... .......... .......... .......... .......... 55% 26.2M 0s
3850K .......... .......... .......... .......... .......... 56% 23.8M 0s
3900K .......... .......... .......... .......... .......... 57% 5.19M 0s
3950K .......... .......... .......... .......... .......... 58% 6.17M 0s
4000K .......... .......... .......... .......... .......... 58% 6.74M 0s
4050K .......... .......... .......... .......... .......... 59% 37.3M 0s
4100K .......... .......... .......... .......... .......... 60% 47.0M 0s
4150K .......... .......... .......... .......... .......... 61% 4.73M 0s
4200K .......... .......... .......... .......... .......... 61% 8.14M 0s
4250K .......... .......... .......... .......... .......... 62% 5.75M 0s
4300K .......... .......... .......... .......... .......... 63% 14.6M 0s
4350K .......... .......... .......... .......... .......... 63% 28.9M 0s
4400K .......... .......... .......... .......... .......... 64% 5.43M 0s
4450K .......... .......... .......... .......... .......... 65% 8.76M 0s
4500K .......... .......... .......... .......... .......... 66% 7.33M 0s
4550K .......... .......... .......... .......... .......... 66% 9.59M 0s
4600K .......... .......... .......... .......... .......... 67% 5.33M 0s
4650K .......... .......... .......... .......... .......... 68% 33.5M 0s
4700K .......... .......... .......... .......... .......... 69% 7.78M 0s
4750K .......... .......... .......... .......... .......... 69% 10.2M 0s
4800K .......... .......... .......... .......... .......... 70% 8.12M 0s
4850K .......... .......... .......... .......... .......... 71% 5.08M 0s
4900K .......... .......... .......... .......... .......... 71% 38.4M 0s
4950K .......... .......... .......... .......... .......... 72% 7.59M 0s
5000K .......... .......... .......... .......... .......... 73% 12.9M 0s
5050K .......... .......... .......... .......... .......... 74% 6.85M 0s
5100K .......... .......... .......... .......... .......... 74% 5.29M 0s
5150K .......... .......... .......... .......... .......... 75% 50.0M 0s
5200K .......... .......... .......... .......... .......... 76% 7.47M 0s
5250K .......... .......... .......... .......... .......... 77% 22.5M 0s
5300K .......... .......... .......... .......... .......... 77% 2.92M 0s
5350K .......... .......... .......... .......... .......... 78% 23.1M 0s
5400K .......... .......... .......... .......... .......... 79% 22.0M 0s
5450K .......... .......... .......... .......... .......... 79% 9.35M 0s
5500K .......... .......... .......... .......... .......... 80% 16.4M 0s
5550K .......... .......... .......... .......... .......... 81% 3.18M 0s
5600K .......... .......... .......... .......... .......... 82% 25.0M 0s
5650K .......... .......... .......... .......... .......... 82% 30.2M 0s
5700K .......... .......... .......... .......... .......... 83% 7.50M 0s
5750K .......... .......... .......... .......... .......... 84% 16.1M 0s
5800K .......... .......... .......... .......... .......... 85% 3.51M 0s
5850K .......... .......... .......... .......... .......... 85% 19.7M 0s
5900K .......... .......... .......... .......... .......... 86% 23.8M 0s
5950K .......... .......... .......... .......... .......... 87% 7.68M 0s
6000K .......... .......... .......... .......... .......... 87% 19.1M 0s
6050K .......... .......... .......... .......... .......... 88% 9.06M 0s
6100K .......... .......... .......... .......... .......... 89% 4.26M 0s
6150K .......... .......... .......... .......... .......... 90% 22.4M 0s
6200K .......... .......... .......... .......... .......... 90% 8.41M 0s
6250K .......... .......... .......... .......... .......... 91% 17.1M 0s
6300K .......... .......... .......... .......... .......... 92% 9.91M 0s
6350K .......... .......... .......... .......... .......... 93% 4.22M 0s
6400K .......... .......... .......... .......... .......... 93% 19.8M 0s
6450K .......... .......... .......... .......... .......... 94% 7.90M 0s
6500K .......... .......... .......... .......... .......... 95% 17.4M 0s
6550K .......... .......... .......... .......... .......... 95% 11.4M 0s
6600K .......... .......... .......... .......... .......... 96% 3.99M 0s
6650K .......... .......... .......... .......... .......... 97% 20.8M 0s
6700K .......... .......... .......... .......... .......... 98% 8.43M 0s
6750K .......... .......... .......... .......... .......... 98% 12.5M 0s
6800K .......... .......... .......... .......... .......... 99% 7.09M 0s
6850K .......... .......... .......... 100% 4.44M=0.8s
2025-09-24 12:14:24 (7.91 MB/s) - 'D:\\temp\\2025_09_24_01_50_00_30071\\RtmpwLzs87\\file187404c07ae1' 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.
--2025-09-26 18:14:43-- 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_26_01_50_00_4539\\RtmpKCgTVw\\file1498c3b593bc'
0K .......... .......... .......... .......... .......... 0% 1.02M 7s
50K .......... .......... .......... .......... .......... 1% 494K 10s
100K .......... .......... .......... .......... .......... 2% 24.7M 7s
150K .......... .......... .......... .......... .......... 2% 28.3M 5s
200K .......... .......... .......... .......... .......... 3% 24.7M 4s
250K .......... .......... .......... .......... .......... 4% 30.1M 3s
300K .......... .......... .......... .......... .......... 5% 41.5M 3s
350K .......... .......... .......... .......... .......... 5% 22.5M 3s
400K .......... .......... .......... .......... .......... 6% 29.2M 2s
450K .......... .......... .......... .......... .......... 7% 3.71M 2s
500K .......... .......... .......... .......... .......... 7% 26.5M 2s
550K .......... .......... .......... .......... .......... 8% 27.6M 2s
600K .......... .......... .......... .......... .......... 9% 24.4M 2s
650K .......... .......... .......... .......... .......... 10% 30.2M 2s
700K .......... .......... .......... .......... .......... 10% 2.63M 2s
750K .......... .......... .......... .......... .......... 11% 30.7M 2s
800K .......... .......... .......... .......... .......... 12% 26.3M 1s
850K .......... .......... .......... .......... .......... 13% 25.2M 1s
900K .......... .......... .......... .......... .......... 13% 29.8M 1s
950K .......... .......... .......... .......... .......... 14% 2.67M 1s
1000K .......... .......... .......... .......... .......... 15% 24.8M 1s
1050K .......... .......... .......... .......... .......... 15% 30.9M 1s
1100K .......... .......... .......... .......... .......... 16% 28.2M 1s
1150K .......... .......... .......... .......... .......... 17% 30.1M 1s
1200K .......... .......... .......... .......... .......... 18% 2.63M 1s
1250K .......... .......... .......... .......... .......... 18% 30.1M 1s
1300K .......... .......... .......... .......... .......... 19% 33.8M 1s
1350K .......... .......... .......... .......... .......... 20% 24.5M 1s
1400K .......... .......... .......... .......... .......... 21% 29.2M 1s
1450K .......... .......... .......... .......... .......... 21% 2.69M 1s
1500K .......... .......... .......... .......... .......... 22% 29.0M 1s
1550K .......... .......... .......... .......... .......... 23% 29.5M 1s
1600K .......... .......... .......... .......... .......... 23% 24.3M 1s
1650K .......... .......... .......... .......... .......... 24% 24.7M 1s
1700K .......... .......... .......... .......... .......... 25% 2.86M 1s
1750K .......... .......... .......... .......... .......... 26% 23.7M 1s
1800K .......... .......... .......... .......... .......... 26% 30.2M 1s
1850K .......... .......... .......... .......... .......... 27% 31.5M 1s
1900K .......... .......... .......... .......... .......... 28% 32.3M 1s
1950K .......... .......... .......... .......... .......... 29% 2.69M 1s
2000K .......... .......... .......... .......... .......... 29% 19.8M 1s
2050K .......... .......... .......... .......... .......... 30% 24.2M 1s
2100K .......... .......... .......... .......... .......... 31% 26.5M 1s
2150K .......... .......... .......... .......... .......... 31% 28.9M 1s
2200K .......... .......... .......... .......... .......... 32% 2.88M 1s
2250K .......... .......... .......... .......... .......... 33% 18.6M 1s
2300K .......... .......... .......... .......... .......... 34% 40.7M 1s
2350K .......... .......... .......... .......... .......... 34% 21.8M 1s
2400K .......... .......... .......... .......... .......... 35% 31.5M 1s
2450K .......... .......... .......... .......... .......... 36% 3.23M 1s
2500K .......... .......... .......... .......... .......... 37% 9.93M 1s
2550K .......... .......... .......... .......... .......... 37% 24.9M 1s
2600K .......... .......... .......... .......... .......... 38% 27.1M 1s
2650K .......... .......... .......... .......... .......... 39% 25.5M 1s
2700K .......... .......... .......... .......... .......... 39% 5.13M 1s
2750K .......... .......... .......... .......... .......... 40% 4.71M 1s
2800K .......... .......... .......... .......... .......... 41% 26.2M 1s
2850K .......... .......... .......... .......... .......... 42% 33.5M 1s
2900K .......... .......... .......... .......... .......... 42% 49.6M 1s
2950K .......... .......... .......... .......... .......... 43% 3.47M 1s
3000K .......... .......... .......... .......... .......... 44% 7.07M 1s
3050K .......... .......... .......... .......... .......... 45% 27.2M 1s
3100K .......... .......... .......... .......... .......... 45% 28.0M 1s
3150K .......... .......... .......... .......... .......... 46% 38.4M 0s
3200K .......... .......... .......... .......... .......... 47% 3.50M 1s
3250K .......... .......... .......... .......... .......... 47% 8.35M 0s
3300K .......... .......... .......... .......... .......... 48% 19.4M 0s
3350K .......... .......... .......... .......... .......... 49% 22.1M 0s
3400K .......... .......... .......... .......... .......... 50% 6.57M 0s
3450K .......... .......... .......... .......... .......... 50% 7.57M 0s
3500K .......... .......... .......... .......... .......... 51% 7.57M 0s
3550K .......... .......... .......... .......... .......... 52% 17.1M 0s
3600K .......... .......... .......... .......... .......... 53% 27.0M 0s
3650K .......... .......... .......... .......... .......... 53% 4.34M 0s
3700K .......... .......... .......... .......... .......... 54% 18.1M 0s
3750K .......... .......... .......... .......... .......... 55% 6.92M 0s
3800K .......... .......... .......... .......... .......... 55% 27.9M 0s
3850K .......... .......... .......... .......... .......... 56% 5.53M 0s
3900K .......... .......... .......... .......... .......... 57% 20.0M 0s
3950K .......... .......... .......... .......... .......... 58% 6.99M 0s
4000K .......... .......... .......... .......... .......... 58% 11.7M 0s
4050K .......... .......... .......... .......... .......... 59% 20.1M 0s
4100K .......... .......... .......... .......... .......... 60% 5.30M 0s
4150K .......... .......... .......... .......... .......... 61% 8.99M 0s
4200K .......... .......... .......... .......... .......... 61% 14.0M 0s
4250K .......... .......... .......... .......... .......... 62% 12.9M 0s
4300K .......... .......... .......... .......... .......... 63% 14.0M 0s
4350K .......... .......... .......... .......... .......... 63% 3.39M 0s
4400K .......... .......... .......... .......... .......... 64% 30.6M 0s
4450K .......... .......... .......... .......... .......... 65% 14.5M 0s
4500K .......... .......... .......... .......... .......... 66% 17.3M 0s
4550K .......... .......... .......... .......... .......... 66% 3.07M 0s
4600K .......... .......... .......... .......... .......... 67% 23.9M 0s
4650K .......... .......... .......... .......... .......... 68% 27.7M 0s
4700K .......... .......... .......... .......... .......... 69% 15.9M 0s
4750K .......... .......... .......... .......... .......... 69% 14.1M 0s
4800K .......... .......... .......... .......... .......... 70% 3.32M 0s
4850K .......... .......... .......... .......... .......... 71% 24.0M 0s
4900K .......... .......... .......... .......... .......... 71% 24.9M 0s
4950K .......... .......... .......... .......... .......... 72% 16.5M 0s
5000K .......... .......... .......... .......... .......... 73% 15.2M 0s
5050K .......... .......... .......... .......... .......... 74% 3.33M 0s
5100K .......... .......... .......... .......... .......... 74% 22.5M 0s
5150K .......... .......... .......... .......... .......... 75% 27.7M 0s
5200K .......... .......... .......... .......... .......... 76% 9.76M 0s
5250K .......... .......... .......... .......... .......... 77% 26.8M 0s
5300K .......... .......... .......... .......... .......... 77% 3.72M 0s
5350K .......... .......... .......... .......... .......... 78% 19.6M 0s
5400K .......... .......... .......... .......... .......... 79% 22.7M 0s
5450K .......... .......... .......... .......... .......... 79% 9.90M 0s
5500K .......... .......... .......... .......... .......... 80% 24.9M 0s
5550K .......... .......... .......... .......... .......... 81% 4.44M 0s
5600K .......... .......... .......... .......... .......... 82% 8.18M 0s
5650K .......... .......... .......... .......... .......... 82% 29.8M 0s
5700K .......... .......... .......... .......... .......... 83% 10.8M 0s
5750K .......... .......... .......... .......... .......... 84% 24.4M 0s
5800K .......... .......... .......... .......... .......... 85% 4.58M 0s
5850K .......... .......... .......... .......... .......... 85% 7.51M 0s
5900K .......... .......... .......... .......... .......... 86% 28.4M 0s
5950K .......... .......... .......... .......... .......... 87% 11.9M 0s
6000K .......... .......... .......... .......... .......... 87% 25.8M 0s
6050K .......... .......... .......... .......... .......... 88% 4.38M 0s
6100K .......... .......... .......... .......... .......... 89% 8.32M 0s
6150K .......... .......... .......... .......... .......... 90% 29.0M 0s
6200K .......... .......... .......... .......... .......... 90% 8.65M 0s
6250K .......... .......... .......... .......... .......... 91% 27.4M 0s
6300K .......... .......... .......... .......... .......... 92% 5.13M 0s
6350K .......... .......... .......... .......... .......... 93% 8.03M 0s
6400K .......... .......... .......... .......... .......... 93% 27.1M 0s
6450K .......... .......... .......... .......... .......... 94% 9.20M 0s
6500K .......... .......... .......... .......... .......... 95% 29.3M 0s
6550K .......... .......... .......... .......... .......... 95% 4.35M 0s
6600K .......... .......... .......... .......... .......... 96% 11.2M 0s
6650K .......... .......... .......... .......... .......... 97% 23.9M 0s
6700K .......... .......... .......... .......... .......... 98% 7.30M 0s
6750K .......... .......... .......... .......... .......... 98% 25.9M 0s
6800K .......... .......... .......... .......... .......... 99% 5.25M 0s
6850K .......... .......... .......... 100% 8.72M=0.8s
2025-09-26 18:14:45 (8.20 MB/s) - 'D:\\temp\\2025_09_26_01_50_00_4539\\RtmpKCgTVw\\file1498c3b593bc' 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