CRAN Package Check Results for Package mlr3viz

Last updated on 2020-09-21 02:49:29 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.2.0 5.16 86.84 92.00 ERROR
r-devel-linux-x86_64-debian-gcc 0.2.0 4.04 64.42 68.46 ERROR
r-devel-linux-x86_64-fedora-clang 0.2.0 109.32 ERROR
r-devel-linux-x86_64-fedora-gcc 0.2.0 95.71 ERROR
r-devel-windows-ix86+x86_64 0.2.0 12.00 79.00 91.00 ERROR
r-patched-linux-x86_64 0.2.0 5.17 76.67 81.84 ERROR
r-patched-solaris-x86 0.2.0 126.50 ERROR
r-release-linux-x86_64 0.2.0 5.12 78.73 83.85 ERROR
r-release-macos-x86_64 0.2.0 OK
r-release-windows-ix86+x86_64 0.2.0 13.00 131.00 144.00 OK
r-oldrel-macos-x86_64 0.2.0 OK
r-oldrel-windows-ix86+x86_64 0.2.0 7.00 70.00 77.00 ERROR

Check Details

Version: 0.2.0
Check: examples
Result: ERROR
    Running examples in 'mlr3viz-Ex.R' failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: autoplot.BenchmarkResult
    > ### Title: Plot for BenchmarkResult
    > ### Aliases: autoplot.BenchmarkResult
    >
    > ### ** Examples
    >
    > library(mlr3)
    > library(mlr3viz)
    >
    > tasks = tsks(c("spam", "pima", "sonar"))
    > learner = lrns(c("classif.featureless", "classif.rpart"),
    + predict_type = "prob")
    > resampling = rsmps("cv")
    > object = benchmark(benchmark_grid(tasks, learner, resampling))
    INFO [01:49:29.675] Benchmark with 60 resampling iterations
    INFO [01:49:29.882] Applying learner 'classif.featureless' on task 'spam' (iter 1/10)
    INFO [01:49:29.948] Applying learner 'classif.featureless' on task 'spam' (iter 2/10)
    INFO [01:49:29.985] Applying learner 'classif.featureless' on task 'spam' (iter 3/10)
    INFO [01:49:30.023] Applying learner 'classif.featureless' on task 'spam' (iter 4/10)
    INFO [01:49:30.063] Applying learner 'classif.featureless' on task 'spam' (iter 5/10)
    INFO [01:49:30.103] Applying learner 'classif.featureless' on task 'spam' (iter 6/10)
    INFO [01:49:30.139] Applying learner 'classif.featureless' on task 'spam' (iter 7/10)
    INFO [01:49:30.185] Applying learner 'classif.featureless' on task 'spam' (iter 8/10)
    INFO [01:49:30.220] Applying learner 'classif.featureless' on task 'spam' (iter 9/10)
    INFO [01:49:30.258] Applying learner 'classif.featureless' on task 'spam' (iter 10/10)
    INFO [01:49:30.281] Applying learner 'classif.rpart' on task 'spam' (iter 1/10)
    INFO [01:49:30.515] Applying learner 'classif.rpart' on task 'spam' (iter 2/10)
    INFO [01:49:30.784] Applying learner 'classif.rpart' on task 'spam' (iter 3/10)
    INFO [01:49:30.992] Applying learner 'classif.rpart' on task 'spam' (iter 4/10)
    INFO [01:49:31.157] Applying learner 'classif.rpart' on task 'spam' (iter 5/10)
    INFO [01:49:31.345] Applying learner 'classif.rpart' on task 'spam' (iter 6/10)
    INFO [01:49:31.488] Applying learner 'classif.rpart' on task 'spam' (iter 7/10)
    INFO [01:49:31.633] Applying learner 'classif.rpart' on task 'spam' (iter 8/10)
    INFO [01:49:31.783] Applying learner 'classif.rpart' on task 'spam' (iter 9/10)
    INFO [01:49:31.925] Applying learner 'classif.rpart' on task 'spam' (iter 10/10)
    INFO [01:49:32.071] Applying learner 'classif.featureless' on task 'pima' (iter 1/10)
    INFO [01:49:32.094] Applying learner 'classif.featureless' on task 'pima' (iter 2/10)
    INFO [01:49:32.116] Applying learner 'classif.featureless' on task 'pima' (iter 3/10)
    INFO [01:49:32.138] Applying learner 'classif.featureless' on task 'pima' (iter 4/10)
    INFO [01:49:32.161] Applying learner 'classif.featureless' on task 'pima' (iter 5/10)
    INFO [01:49:32.183] Applying learner 'classif.featureless' on task 'pima' (iter 6/10)
    INFO [01:49:32.204] Applying learner 'classif.featureless' on task 'pima' (iter 7/10)
    INFO [01:49:32.225] Applying learner 'classif.featureless' on task 'pima' (iter 8/10)
    INFO [01:49:32.254] Applying learner 'classif.featureless' on task 'pima' (iter 9/10)
    INFO [01:49:32.276] Applying learner 'classif.featureless' on task 'pima' (iter 10/10)
    INFO [01:49:32.298] Applying learner 'classif.rpart' on task 'pima' (iter 1/10)
    INFO [01:49:32.337] Applying learner 'classif.rpart' on task 'pima' (iter 2/10)
    INFO [01:49:32.375] Applying learner 'classif.rpart' on task 'pima' (iter 3/10)
    INFO [01:49:32.412] Applying learner 'classif.rpart' on task 'pima' (iter 4/10)
    INFO [01:49:32.459] Applying learner 'classif.rpart' on task 'pima' (iter 5/10)
    INFO [01:49:32.498] Applying learner 'classif.rpart' on task 'pima' (iter 6/10)
    INFO [01:49:32.538] Applying learner 'classif.rpart' on task 'pima' (iter 7/10)
    INFO [01:49:32.576] Applying learner 'classif.rpart' on task 'pima' (iter 8/10)
    INFO [01:49:32.683] Applying learner 'classif.rpart' on task 'pima' (iter 9/10)
    INFO [01:49:32.721] Applying learner 'classif.rpart' on task 'pima' (iter 10/10)
    INFO [01:49:32.757] Applying learner 'classif.featureless' on task 'sonar' (iter 1/10)
    INFO [01:49:32.778] Applying learner 'classif.featureless' on task 'sonar' (iter 2/10)
    INFO [01:49:32.800] Applying learner 'classif.featureless' on task 'sonar' (iter 3/10)
    INFO [01:49:32.824] Applying learner 'classif.featureless' on task 'sonar' (iter 4/10)
    INFO [01:49:32.845] Applying learner 'classif.featureless' on task 'sonar' (iter 5/10)
    INFO [01:49:32.875] Applying learner 'classif.featureless' on task 'sonar' (iter 6/10)
    INFO [01:49:32.896] Applying learner 'classif.featureless' on task 'sonar' (iter 7/10)
    INFO [01:49:32.917] Applying learner 'classif.featureless' on task 'sonar' (iter 8/10)
    INFO [01:49:32.954] Applying learner 'classif.featureless' on task 'sonar' (iter 9/10)
    INFO [01:49:32.977] Applying learner 'classif.featureless' on task 'sonar' (iter 10/10)
    INFO [01:49:32.999] Applying learner 'classif.rpart' on task 'sonar' (iter 1/10)
    INFO [01:49:33.065] Applying learner 'classif.rpart' on task 'sonar' (iter 2/10)
    INFO [01:49:33.123] Applying learner 'classif.rpart' on task 'sonar' (iter 3/10)
    INFO [01:49:33.181] Applying learner 'classif.rpart' on task 'sonar' (iter 4/10)
    INFO [01:49:33.244] Applying learner 'classif.rpart' on task 'sonar' (iter 5/10)
    INFO [01:49:33.300] Applying learner 'classif.rpart' on task 'sonar' (iter 6/10)
    INFO [01:49:33.366] Applying learner 'classif.rpart' on task 'sonar' (iter 7/10)
    INFO [01:49:33.474] Applying learner 'classif.rpart' on task 'sonar' (iter 8/10)
    INFO [01:49:33.561] Applying learner 'classif.rpart' on task 'sonar' (iter 9/10)
    INFO [01:49:33.626] Applying learner 'classif.rpart' on task 'sonar' (iter 10/10)
    INFO [01:49:33.688] Finished benchmark
    >
    > head(fortify(object))
    Error: $ operator is invalid for atomic vectors
    Execution halted
Flavor: r-devel-linux-x86_64-debian-clang

Version: 0.2.0
Check: tests
Result: ERROR
     Running 'testthat.R' [34s/25s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(mlr3viz)
     >
     > test_check("mlr3viz")
     -- 1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10) -------------
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::fortify(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::fortify.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     -- 2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18) ------------
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::autoplot(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::autoplot.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     == testthat results ===========================================================
     [ OK: 89 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 2 ]
     1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10)
     2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-linux-x86_64-debian-clang

Version: 0.2.0
Check: examples
Result: ERROR
    Running examples in ‘mlr3viz-Ex.R’ failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: autoplot.BenchmarkResult
    > ### Title: Plot for BenchmarkResult
    > ### Aliases: autoplot.BenchmarkResult
    >
    > ### ** Examples
    >
    > library(mlr3)
    > library(mlr3viz)
    >
    > tasks = tsks(c("spam", "pima", "sonar"))
    > learner = lrns(c("classif.featureless", "classif.rpart"),
    + predict_type = "prob")
    > resampling = rsmps("cv")
    > object = benchmark(benchmark_grid(tasks, learner, resampling))
    INFO [22:53:12.807] Benchmark with 60 resampling iterations
    INFO [22:53:13.014] Applying learner 'classif.featureless' on task 'spam' (iter 1/10)
    INFO [22:53:13.075] Applying learner 'classif.featureless' on task 'spam' (iter 2/10)
    INFO [22:53:13.107] Applying learner 'classif.featureless' on task 'spam' (iter 3/10)
    INFO [22:53:13.169] Applying learner 'classif.featureless' on task 'spam' (iter 4/10)
    INFO [22:53:13.216] Applying learner 'classif.featureless' on task 'spam' (iter 5/10)
    INFO [22:53:13.261] Applying learner 'classif.featureless' on task 'spam' (iter 6/10)
    INFO [22:53:13.310] Applying learner 'classif.featureless' on task 'spam' (iter 7/10)
    INFO [22:53:13.345] Applying learner 'classif.featureless' on task 'spam' (iter 8/10)
    INFO [22:53:13.378] Applying learner 'classif.featureless' on task 'spam' (iter 9/10)
    INFO [22:53:13.430] Applying learner 'classif.featureless' on task 'spam' (iter 10/10)
    INFO [22:53:13.482] Applying learner 'classif.rpart' on task 'spam' (iter 1/10)
    INFO [22:53:14.028] Applying learner 'classif.rpart' on task 'spam' (iter 2/10)
    INFO [22:53:14.415] Applying learner 'classif.rpart' on task 'spam' (iter 3/10)
    INFO [22:53:14.877] Applying learner 'classif.rpart' on task 'spam' (iter 4/10)
    INFO [22:53:15.423] Applying learner 'classif.rpart' on task 'spam' (iter 5/10)
    INFO [22:53:15.912] Applying learner 'classif.rpart' on task 'spam' (iter 6/10)
    INFO [22:53:16.394] Applying learner 'classif.rpart' on task 'spam' (iter 7/10)
    INFO [22:53:16.878] Applying learner 'classif.rpart' on task 'spam' (iter 8/10)
    INFO [22:53:17.460] Applying learner 'classif.rpart' on task 'spam' (iter 9/10)
    INFO [22:53:17.957] Applying learner 'classif.rpart' on task 'spam' (iter 10/10)
    INFO [22:53:18.508] Applying learner 'classif.featureless' on task 'pima' (iter 1/10)
    INFO [22:53:18.525] Applying learner 'classif.featureless' on task 'pima' (iter 2/10)
    INFO [22:53:18.541] Applying learner 'classif.featureless' on task 'pima' (iter 3/10)
    INFO [22:53:18.557] Applying learner 'classif.featureless' on task 'pima' (iter 4/10)
    INFO [22:53:18.573] Applying learner 'classif.featureless' on task 'pima' (iter 5/10)
    INFO [22:53:18.589] Applying learner 'classif.featureless' on task 'pima' (iter 6/10)
    INFO [22:53:18.604] Applying learner 'classif.featureless' on task 'pima' (iter 7/10)
    INFO [22:53:18.636] Applying learner 'classif.featureless' on task 'pima' (iter 8/10)
    INFO [22:53:18.672] Applying learner 'classif.featureless' on task 'pima' (iter 9/10)
    INFO [22:53:18.703] Applying learner 'classif.featureless' on task 'pima' (iter 10/10)
    INFO [22:53:18.734] Applying learner 'classif.rpart' on task 'pima' (iter 1/10)
    INFO [22:53:18.776] Applying learner 'classif.rpart' on task 'pima' (iter 2/10)
    INFO [22:53:18.889] Applying learner 'classif.rpart' on task 'pima' (iter 3/10)
    INFO [22:53:18.930] Applying learner 'classif.rpart' on task 'pima' (iter 4/10)
    INFO [22:53:18.994] Applying learner 'classif.rpart' on task 'pima' (iter 5/10)
    INFO [22:53:19.065] Applying learner 'classif.rpart' on task 'pima' (iter 6/10)
    INFO [22:53:19.124] Applying learner 'classif.rpart' on task 'pima' (iter 7/10)
    INFO [22:53:19.168] Applying learner 'classif.rpart' on task 'pima' (iter 8/10)
    INFO [22:53:19.295] Applying learner 'classif.rpart' on task 'pima' (iter 9/10)
    INFO [22:53:19.353] Applying learner 'classif.rpart' on task 'pima' (iter 10/10)
    INFO [22:53:19.398] Applying learner 'classif.featureless' on task 'sonar' (iter 1/10)
    INFO [22:53:19.412] Applying learner 'classif.featureless' on task 'sonar' (iter 2/10)
    INFO [22:53:19.429] Applying learner 'classif.featureless' on task 'sonar' (iter 3/10)
    INFO [22:53:19.442] Applying learner 'classif.featureless' on task 'sonar' (iter 4/10)
    INFO [22:53:19.457] Applying learner 'classif.featureless' on task 'sonar' (iter 5/10)
    INFO [22:53:19.475] Applying learner 'classif.featureless' on task 'sonar' (iter 6/10)
    INFO [22:53:19.489] Applying learner 'classif.featureless' on task 'sonar' (iter 7/10)
    INFO [22:53:19.518] Applying learner 'classif.featureless' on task 'sonar' (iter 8/10)
    INFO [22:53:19.548] Applying learner 'classif.featureless' on task 'sonar' (iter 9/10)
    INFO [22:53:19.578] Applying learner 'classif.featureless' on task 'sonar' (iter 10/10)
    INFO [22:53:19.609] Applying learner 'classif.rpart' on task 'sonar' (iter 1/10)
    INFO [22:53:19.714] Applying learner 'classif.rpart' on task 'sonar' (iter 2/10)
    INFO [22:53:19.784] Applying learner 'classif.rpart' on task 'sonar' (iter 3/10)
    INFO [22:53:19.855] Applying learner 'classif.rpart' on task 'sonar' (iter 4/10)
    INFO [22:53:19.915] Applying learner 'classif.rpart' on task 'sonar' (iter 5/10)
    INFO [22:53:19.955] Applying learner 'classif.rpart' on task 'sonar' (iter 6/10)
    INFO [22:53:20.001] Applying learner 'classif.rpart' on task 'sonar' (iter 7/10)
    INFO [22:53:20.069] Applying learner 'classif.rpart' on task 'sonar' (iter 8/10)
    INFO [22:53:20.132] Applying learner 'classif.rpart' on task 'sonar' (iter 9/10)
    INFO [22:53:20.176] Applying learner 'classif.rpart' on task 'sonar' (iter 10/10)
    INFO [22:53:20.216] Finished benchmark
    >
    > head(fortify(object))
    Error: $ operator is invalid for atomic vectors
    Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.2.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [23s/30s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(mlr3viz)
     >
     > test_check("mlr3viz")
     ── 1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10) ─────────────
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::fortify(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::fortify.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     ── 2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18) ────────────
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::autoplot(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::autoplot.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 89 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 2 ]
     1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10)
     2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.2.0
Check: examples
Result: ERROR
    Running examples in ‘mlr3viz-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: autoplot.BenchmarkResult
    > ### Title: Plot for BenchmarkResult
    > ### Aliases: autoplot.BenchmarkResult
    >
    > ### ** Examples
    >
    > library(mlr3)
    > library(mlr3viz)
    >
    > tasks = tsks(c("spam", "pima", "sonar"))
    > learner = lrns(c("classif.featureless", "classif.rpart"),
    + predict_type = "prob")
    > resampling = rsmps("cv")
    > object = benchmark(benchmark_grid(tasks, learner, resampling))
    INFO [17:31:07.480] Benchmark with 60 resampling iterations
    INFO [17:31:07.663] Applying learner 'classif.featureless' on task 'spam' (iter 1/10)
    INFO [17:31:07.766] Applying learner 'classif.featureless' on task 'spam' (iter 2/10)
    INFO [17:31:07.787] Applying learner 'classif.featureless' on task 'spam' (iter 3/10)
    INFO [17:31:07.810] Applying learner 'classif.featureless' on task 'spam' (iter 4/10)
    INFO [17:31:07.830] Applying learner 'classif.featureless' on task 'spam' (iter 5/10)
    INFO [17:31:07.850] Applying learner 'classif.featureless' on task 'spam' (iter 6/10)
    INFO [17:31:07.870] Applying learner 'classif.featureless' on task 'spam' (iter 7/10)
    INFO [17:31:07.892] Applying learner 'classif.featureless' on task 'spam' (iter 8/10)
    INFO [17:31:07.912] Applying learner 'classif.featureless' on task 'spam' (iter 9/10)
    INFO [17:31:07.939] Applying learner 'classif.featureless' on task 'spam' (iter 10/10)
    INFO [17:31:07.962] Applying learner 'classif.rpart' on task 'spam' (iter 1/10)
    INFO [17:31:08.221] Applying learner 'classif.rpart' on task 'spam' (iter 2/10)
    INFO [17:31:08.400] Applying learner 'classif.rpart' on task 'spam' (iter 3/10)
    INFO [17:31:08.586] Applying learner 'classif.rpart' on task 'spam' (iter 4/10)
    INFO [17:31:08.793] Applying learner 'classif.rpart' on task 'spam' (iter 5/10)
    INFO [17:31:09.048] Applying learner 'classif.rpart' on task 'spam' (iter 6/10)
    INFO [17:31:09.241] Applying learner 'classif.rpart' on task 'spam' (iter 7/10)
    INFO [17:31:09.426] Applying learner 'classif.rpart' on task 'spam' (iter 8/10)
    INFO [17:31:09.649] Applying learner 'classif.rpart' on task 'spam' (iter 9/10)
    INFO [17:31:09.817] Applying learner 'classif.rpart' on task 'spam' (iter 10/10)
    INFO [17:31:10.094] Applying learner 'classif.featureless' on task 'pima' (iter 1/10)
    INFO [17:31:10.113] Applying learner 'classif.featureless' on task 'pima' (iter 2/10)
    INFO [17:31:10.179] Applying learner 'classif.featureless' on task 'pima' (iter 3/10)
    INFO [17:31:10.239] Applying learner 'classif.featureless' on task 'pima' (iter 4/10)
    INFO [17:31:10.293] Applying learner 'classif.featureless' on task 'pima' (iter 5/10)
    INFO [17:31:10.319] Applying learner 'classif.featureless' on task 'pima' (iter 6/10)
    INFO [17:31:10.346] Applying learner 'classif.featureless' on task 'pima' (iter 7/10)
    INFO [17:31:10.368] Applying learner 'classif.featureless' on task 'pima' (iter 8/10)
    INFO [17:31:10.396] Applying learner 'classif.featureless' on task 'pima' (iter 9/10)
    INFO [17:31:10.418] Applying learner 'classif.featureless' on task 'pima' (iter 10/10)
    INFO [17:31:10.439] Applying learner 'classif.rpart' on task 'pima' (iter 1/10)
    INFO [17:31:10.475] Applying learner 'classif.rpart' on task 'pima' (iter 2/10)
    INFO [17:31:10.514] Applying learner 'classif.rpart' on task 'pima' (iter 3/10)
    INFO [17:31:10.597] Applying learner 'classif.rpart' on task 'pima' (iter 4/10)
    INFO [17:31:10.693] Applying learner 'classif.rpart' on task 'pima' (iter 5/10)
    INFO [17:31:10.777] Applying learner 'classif.rpart' on task 'pima' (iter 6/10)
    INFO [17:31:10.858] Applying learner 'classif.rpart' on task 'pima' (iter 7/10)
    INFO [17:31:10.935] Applying learner 'classif.rpart' on task 'pima' (iter 8/10)
    INFO [17:31:11.124] Applying learner 'classif.rpart' on task 'pima' (iter 9/10)
    INFO [17:31:11.208] Applying learner 'classif.rpart' on task 'pima' (iter 10/10)
    INFO [17:31:11.292] Applying learner 'classif.featureless' on task 'sonar' (iter 1/10)
    INFO [17:31:11.320] Applying learner 'classif.featureless' on task 'sonar' (iter 2/10)
    INFO [17:31:11.341] Applying learner 'classif.featureless' on task 'sonar' (iter 3/10)
    INFO [17:31:11.363] Applying learner 'classif.featureless' on task 'sonar' (iter 4/10)
    INFO [17:31:11.394] Applying learner 'classif.featureless' on task 'sonar' (iter 5/10)
    INFO [17:31:11.460] Applying learner 'classif.featureless' on task 'sonar' (iter 6/10)
    INFO [17:31:11.504] Applying learner 'classif.featureless' on task 'sonar' (iter 7/10)
    INFO [17:31:11.550] Applying learner 'classif.featureless' on task 'sonar' (iter 8/10)
    INFO [17:31:11.591] Applying learner 'classif.featureless' on task 'sonar' (iter 9/10)
    INFO [17:31:11.639] Applying learner 'classif.featureless' on task 'sonar' (iter 10/10)
    INFO [17:31:11.683] Applying learner 'classif.rpart' on task 'sonar' (iter 1/10)
    INFO [17:31:11.888] Applying learner 'classif.rpart' on task 'sonar' (iter 2/10)
    INFO [17:31:12.013] Applying learner 'classif.rpart' on task 'sonar' (iter 3/10)
    INFO [17:31:12.139] Applying learner 'classif.rpart' on task 'sonar' (iter 4/10)
    INFO [17:31:12.235] Applying learner 'classif.rpart' on task 'sonar' (iter 5/10)
    INFO [17:31:12.321] Applying learner 'classif.rpart' on task 'sonar' (iter 6/10)
    INFO [17:31:12.434] Applying learner 'classif.rpart' on task 'sonar' (iter 7/10)
    INFO [17:31:12.519] Applying learner 'classif.rpart' on task 'sonar' (iter 8/10)
    INFO [17:31:12.673] Applying learner 'classif.rpart' on task 'sonar' (iter 9/10)
    INFO [17:31:12.783] Applying learner 'classif.rpart' on task 'sonar' (iter 10/10)
    INFO [17:31:12.882] Finished benchmark
    >
    > head(fortify(object))
    Error: $ operator is invalid for atomic vectors
    Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.2.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [32s/34s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(mlr3viz)
     >
     > test_check("mlr3viz")
     ── 1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10) ─────────────
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::fortify(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::fortify.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     ── 2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18) ────────────
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::autoplot(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::autoplot.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 89 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 2 ]
     1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10)
     2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.2.0
Check: examples
Result: ERROR
    Running examples in ‘mlr3viz-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: autoplot.BenchmarkResult
    > ### Title: Plot for BenchmarkResult
    > ### Aliases: autoplot.BenchmarkResult
    >
    > ### ** Examples
    >
    > library(mlr3)
    > library(mlr3viz)
    >
    > tasks = tsks(c("spam", "pima", "sonar"))
    > learner = lrns(c("classif.featureless", "classif.rpart"),
    + predict_type = "prob")
    > resampling = rsmps("cv")
    > object = benchmark(benchmark_grid(tasks, learner, resampling))
    INFO [21:13:03.346] Benchmark with 60 resampling iterations
    INFO [21:13:03.555] Applying learner 'classif.featureless' on task 'spam' (iter 1/10)
    INFO [21:13:03.614] Applying learner 'classif.featureless' on task 'spam' (iter 2/10)
    INFO [21:13:03.642] Applying learner 'classif.featureless' on task 'spam' (iter 3/10)
    INFO [21:13:03.665] Applying learner 'classif.featureless' on task 'spam' (iter 4/10)
    INFO [21:13:03.688] Applying learner 'classif.featureless' on task 'spam' (iter 5/10)
    INFO [21:13:03.711] Applying learner 'classif.featureless' on task 'spam' (iter 6/10)
    INFO [21:13:03.733] Applying learner 'classif.featureless' on task 'spam' (iter 7/10)
    INFO [21:13:03.760] Applying learner 'classif.featureless' on task 'spam' (iter 8/10)
    INFO [21:13:03.781] Applying learner 'classif.featureless' on task 'spam' (iter 9/10)
    INFO [21:13:03.814] Applying learner 'classif.featureless' on task 'spam' (iter 10/10)
    INFO [21:13:03.840] Applying learner 'classif.rpart' on task 'spam' (iter 1/10)
    INFO [21:13:04.051] Applying learner 'classif.rpart' on task 'spam' (iter 2/10)
    INFO [21:13:04.508] Applying learner 'classif.rpart' on task 'spam' (iter 3/10)
    INFO [21:13:04.906] Applying learner 'classif.rpart' on task 'spam' (iter 4/10)
    INFO [21:13:05.202] Applying learner 'classif.rpart' on task 'spam' (iter 5/10)
    INFO [21:13:05.362] Applying learner 'classif.rpart' on task 'spam' (iter 6/10)
    INFO [21:13:05.774] Applying learner 'classif.rpart' on task 'spam' (iter 7/10)
    INFO [21:13:06.210] Applying learner 'classif.rpart' on task 'spam' (iter 8/10)
    INFO [21:13:06.385] Applying learner 'classif.rpart' on task 'spam' (iter 9/10)
    INFO [21:13:06.634] Applying learner 'classif.rpart' on task 'spam' (iter 10/10)
    INFO [21:13:06.828] Applying learner 'classif.featureless' on task 'pima' (iter 1/10)
    INFO [21:13:06.850] Applying learner 'classif.featureless' on task 'pima' (iter 2/10)
    INFO [21:13:06.873] Applying learner 'classif.featureless' on task 'pima' (iter 3/10)
    INFO [21:13:06.899] Applying learner 'classif.featureless' on task 'pima' (iter 4/10)
    INFO [21:13:06.923] Applying learner 'classif.featureless' on task 'pima' (iter 5/10)
    INFO [21:13:06.946] Applying learner 'classif.featureless' on task 'pima' (iter 6/10)
    INFO [21:13:06.968] Applying learner 'classif.featureless' on task 'pima' (iter 7/10)
    INFO [21:13:06.993] Applying learner 'classif.featureless' on task 'pima' (iter 8/10)
    INFO [21:13:07.017] Applying learner 'classif.featureless' on task 'pima' (iter 9/10)
    INFO [21:13:07.039] Applying learner 'classif.featureless' on task 'pima' (iter 10/10)
    INFO [21:13:07.067] Applying learner 'classif.rpart' on task 'pima' (iter 1/10)
    INFO [21:13:07.154] Applying learner 'classif.rpart' on task 'pima' (iter 2/10)
    INFO [21:13:07.215] Applying learner 'classif.rpart' on task 'pima' (iter 3/10)
    INFO [21:13:07.259] Applying learner 'classif.rpart' on task 'pima' (iter 4/10)
    INFO [21:13:07.300] Applying learner 'classif.rpart' on task 'pima' (iter 5/10)
    INFO [21:13:07.347] Applying learner 'classif.rpart' on task 'pima' (iter 6/10)
    INFO [21:13:07.398] Applying learner 'classif.rpart' on task 'pima' (iter 7/10)
    INFO [21:13:07.437] Applying learner 'classif.rpart' on task 'pima' (iter 8/10)
    INFO [21:13:07.477] Applying learner 'classif.rpart' on task 'pima' (iter 9/10)
    INFO [21:13:07.517] Applying learner 'classif.rpart' on task 'pima' (iter 10/10)
    INFO [21:13:07.556] Applying learner 'classif.featureless' on task 'sonar' (iter 1/10)
    INFO [21:13:07.578] Applying learner 'classif.featureless' on task 'sonar' (iter 2/10)
    INFO [21:13:07.602] Applying learner 'classif.featureless' on task 'sonar' (iter 3/10)
    INFO [21:13:07.623] Applying learner 'classif.featureless' on task 'sonar' (iter 4/10)
    INFO [21:13:07.643] Applying learner 'classif.featureless' on task 'sonar' (iter 5/10)
    INFO [21:13:07.663] Applying learner 'classif.featureless' on task 'sonar' (iter 6/10)
    INFO [21:13:07.684] Applying learner 'classif.featureless' on task 'sonar' (iter 7/10)
    INFO [21:13:07.706] Applying learner 'classif.featureless' on task 'sonar' (iter 8/10)
    INFO [21:13:07.727] Applying learner 'classif.featureless' on task 'sonar' (iter 9/10)
    INFO [21:13:07.747] Applying learner 'classif.featureless' on task 'sonar' (iter 10/10)
    INFO [21:13:07.769] Applying learner 'classif.rpart' on task 'sonar' (iter 1/10)
    INFO [21:13:07.841] Applying learner 'classif.rpart' on task 'sonar' (iter 2/10)
    INFO [21:13:07.914] Applying learner 'classif.rpart' on task 'sonar' (iter 3/10)
    INFO [21:13:07.979] Applying learner 'classif.rpart' on task 'sonar' (iter 4/10)
    INFO [21:13:08.049] Applying learner 'classif.rpart' on task 'sonar' (iter 5/10)
    INFO [21:13:08.115] Applying learner 'classif.rpart' on task 'sonar' (iter 6/10)
    INFO [21:13:08.179] Applying learner 'classif.rpart' on task 'sonar' (iter 7/10)
    INFO [21:13:08.281] Applying learner 'classif.rpart' on task 'sonar' (iter 8/10)
    INFO [21:13:08.372] Applying learner 'classif.rpart' on task 'sonar' (iter 9/10)
    INFO [21:13:08.489] Applying learner 'classif.rpart' on task 'sonar' (iter 10/10)
    INFO [21:13:08.553] Finished benchmark
    >
    > head(fortify(object))
    Error: $ operator is invalid for atomic vectors
    Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 0.2.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [31s/39s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(mlr3viz)
     >
     > test_check("mlr3viz")
     ── 1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10) ─────────────
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::fortify(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::fortify.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     ── 2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18) ────────────
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::autoplot(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::autoplot.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 89 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 2 ]
     1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10)
     2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 0.2.0
Check: examples
Result: ERROR
    Running examples in 'mlr3viz-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: autoplot.BenchmarkResult
    > ### Title: Plot for BenchmarkResult
    > ### Aliases: autoplot.BenchmarkResult
    >
    > ### ** Examples
    >
    > library(mlr3)
    > library(mlr3viz)
    >
    > tasks = tsks(c("spam", "pima", "sonar"))
    > learner = lrns(c("classif.featureless", "classif.rpart"),
    + predict_type = "prob")
    > resampling = rsmps("cv")
    > object = benchmark(benchmark_grid(tasks, learner, resampling))
    INFO [13:54:18.898] Benchmark with 60 resampling iterations
    INFO [13:54:19.069] Applying learner 'classif.featureless' on task 'spam' (iter 1/10)
    INFO [13:54:19.101] Applying learner 'classif.featureless' on task 'spam' (iter 2/10)
    INFO [13:54:19.116] Applying learner 'classif.featureless' on task 'spam' (iter 3/10)
    INFO [13:54:19.132] Applying learner 'classif.featureless' on task 'spam' (iter 4/10)
    INFO [13:54:19.147] Applying learner 'classif.featureless' on task 'spam' (iter 5/10)
    INFO [13:54:19.163] Applying learner 'classif.featureless' on task 'spam' (iter 6/10)
    INFO [13:54:19.179] Applying learner 'classif.featureless' on task 'spam' (iter 7/10)
    INFO [13:54:19.194] Applying learner 'classif.featureless' on task 'spam' (iter 8/10)
    INFO [13:54:19.225] Applying learner 'classif.featureless' on task 'spam' (iter 9/10)
    INFO [13:54:19.241] Applying learner 'classif.featureless' on task 'spam' (iter 10/10)
    INFO [13:54:19.256] Applying learner 'classif.rpart' on task 'spam' (iter 1/10)
    INFO [13:54:19.428] Applying learner 'classif.rpart' on task 'spam' (iter 2/10)
    INFO [13:54:19.537] Applying learner 'classif.rpart' on task 'spam' (iter 3/10)
    INFO [13:54:19.662] Applying learner 'classif.rpart' on task 'spam' (iter 4/10)
    INFO [13:54:19.771] Applying learner 'classif.rpart' on task 'spam' (iter 5/10)
    INFO [13:54:19.880] Applying learner 'classif.rpart' on task 'spam' (iter 6/10)
    INFO [13:54:20.021] Applying learner 'classif.rpart' on task 'spam' (iter 7/10)
    INFO [13:54:20.145] Applying learner 'classif.rpart' on task 'spam' (iter 8/10)
    INFO [13:54:20.255] Applying learner 'classif.rpart' on task 'spam' (iter 9/10)
    INFO [13:54:20.379] Applying learner 'classif.rpart' on task 'spam' (iter 10/10)
    INFO [13:54:20.504] Applying learner 'classif.featureless' on task 'pima' (iter 1/10)
    INFO [13:54:20.520] Applying learner 'classif.featureless' on task 'pima' (iter 2/10)
    INFO [13:54:20.551] Applying learner 'classif.featureless' on task 'pima' (iter 3/10)
    INFO [13:54:20.567] Applying learner 'classif.featureless' on task 'pima' (iter 4/10)
    INFO [13:54:20.598] Applying learner 'classif.featureless' on task 'pima' (iter 5/10)
    INFO [13:54:20.613] Applying learner 'classif.featureless' on task 'pima' (iter 6/10)
    INFO [13:54:20.629] Applying learner 'classif.featureless' on task 'pima' (iter 7/10)
    INFO [13:54:20.645] Applying learner 'classif.featureless' on task 'pima' (iter 8/10)
    INFO [13:54:20.660] Applying learner 'classif.featureless' on task 'pima' (iter 9/10)
    INFO [13:54:20.676] Applying learner 'classif.featureless' on task 'pima' (iter 10/10)
    INFO [13:54:20.691] Applying learner 'classif.rpart' on task 'pima' (iter 1/10)
    INFO [13:54:20.722] Applying learner 'classif.rpart' on task 'pima' (iter 2/10)
    INFO [13:54:20.738] Applying learner 'classif.rpart' on task 'pima' (iter 3/10)
    INFO [13:54:20.769] Applying learner 'classif.rpart' on task 'pima' (iter 4/10)
    INFO [13:54:20.785] Applying learner 'classif.rpart' on task 'pima' (iter 5/10)
    INFO [13:54:20.847] Applying learner 'classif.rpart' on task 'pima' (iter 6/10)
    INFO [13:54:20.878] Applying learner 'classif.rpart' on task 'pima' (iter 7/10)
    INFO [13:54:20.894] Applying learner 'classif.rpart' on task 'pima' (iter 8/10)
    INFO [13:54:20.925] Applying learner 'classif.rpart' on task 'pima' (iter 9/10)
    INFO [13:54:20.956] Applying learner 'classif.rpart' on task 'pima' (iter 10/10)
    INFO [13:54:20.988] Applying learner 'classif.featureless' on task 'sonar' (iter 1/10)
    INFO [13:54:20.988] Applying learner 'classif.featureless' on task 'sonar' (iter 2/10)
    INFO [13:54:21.019] Applying learner 'classif.featureless' on task 'sonar' (iter 3/10)
    INFO [13:54:21.034] Applying learner 'classif.featureless' on task 'sonar' (iter 4/10)
    INFO [13:54:21.034] Applying learner 'classif.featureless' on task 'sonar' (iter 5/10)
    INFO [13:54:21.050] Applying learner 'classif.featureless' on task 'sonar' (iter 6/10)
    INFO [13:54:21.066] Applying learner 'classif.featureless' on task 'sonar' (iter 7/10)
    INFO [13:54:21.097] Applying learner 'classif.featureless' on task 'sonar' (iter 8/10)
    INFO [13:54:21.112] Applying learner 'classif.featureless' on task 'sonar' (iter 9/10)
    INFO [13:54:21.128] Applying learner 'classif.featureless' on task 'sonar' (iter 10/10)
    INFO [13:54:21.159] Applying learner 'classif.rpart' on task 'sonar' (iter 1/10)
    INFO [13:54:21.206] Applying learner 'classif.rpart' on task 'sonar' (iter 2/10)
    INFO [13:54:21.253] Applying learner 'classif.rpart' on task 'sonar' (iter 3/10)
    INFO [13:54:21.284] Applying learner 'classif.rpart' on task 'sonar' (iter 4/10)
    INFO [13:54:21.362] Applying learner 'classif.rpart' on task 'sonar' (iter 5/10)
    INFO [13:54:21.393] Applying learner 'classif.rpart' on task 'sonar' (iter 6/10)
    INFO [13:54:21.440] Applying learner 'classif.rpart' on task 'sonar' (iter 7/10)
    INFO [13:54:21.487] Applying learner 'classif.rpart' on task 'sonar' (iter 8/10)
    INFO [13:54:21.533] Applying learner 'classif.rpart' on task 'sonar' (iter 9/10)
    INFO [13:54:21.596] Applying learner 'classif.rpart' on task 'sonar' (iter 10/10)
    INFO [13:54:21.674] Finished benchmark
    >
    > head(fortify(object))
    Error: $ operator is invalid for atomic vectors
    Execution halted
Flavor: r-devel-windows-ix86+x86_64

Version: 0.2.0
Check: tests
Result: ERROR
     Running 'testthat.R' [22s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(mlr3viz)
     >
     > test_check("mlr3viz")
     -- 1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10) -------------
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::fortify(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::fortify.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     -- 2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18) ------------
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::autoplot(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::autoplot.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     == testthat results ===========================================================
     [ OK: 89 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 2 ]
     1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10)
     2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-windows-ix86+x86_64

Version: 0.2.0
Check: examples
Result: ERROR
    Running examples in ‘mlr3viz-Ex.R’ failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: autoplot.BenchmarkResult
    > ### Title: Plot for BenchmarkResult
    > ### Aliases: autoplot.BenchmarkResult
    >
    > ### ** Examples
    >
    > library(mlr3)
    > library(mlr3viz)
    >
    > tasks = tsks(c("spam", "pima", "sonar"))
    > learner = lrns(c("classif.featureless", "classif.rpart"),
    + predict_type = "prob")
    > resampling = rsmps("cv")
    > object = benchmark(benchmark_grid(tasks, learner, resampling))
    INFO [17:27:30.257] Benchmark with 60 resampling iterations
    INFO [17:27:30.424] Applying learner 'classif.featureless' on task 'spam' (iter 1/10)
    INFO [17:27:30.493] Applying learner 'classif.featureless' on task 'spam' (iter 2/10)
    INFO [17:27:30.542] Applying learner 'classif.featureless' on task 'spam' (iter 3/10)
    INFO [17:27:30.588] Applying learner 'classif.featureless' on task 'spam' (iter 4/10)
    INFO [17:27:30.643] Applying learner 'classif.featureless' on task 'spam' (iter 5/10)
    INFO [17:27:30.687] Applying learner 'classif.featureless' on task 'spam' (iter 6/10)
    INFO [17:27:30.730] Applying learner 'classif.featureless' on task 'spam' (iter 7/10)
    INFO [17:27:30.771] Applying learner 'classif.featureless' on task 'spam' (iter 8/10)
    INFO [17:27:30.819] Applying learner 'classif.featureless' on task 'spam' (iter 9/10)
    INFO [17:27:30.863] Applying learner 'classif.featureless' on task 'spam' (iter 10/10)
    INFO [17:27:30.906] Applying learner 'classif.rpart' on task 'spam' (iter 1/10)
    INFO [17:27:31.233] Applying learner 'classif.rpart' on task 'spam' (iter 2/10)
    INFO [17:27:31.776] Applying learner 'classif.rpart' on task 'spam' (iter 3/10)
    INFO [17:27:32.363] Applying learner 'classif.rpart' on task 'spam' (iter 4/10)
    INFO [17:27:32.561] Applying learner 'classif.rpart' on task 'spam' (iter 5/10)
    INFO [17:27:33.204] Applying learner 'classif.rpart' on task 'spam' (iter 6/10)
    INFO [17:27:33.357] Applying learner 'classif.rpart' on task 'spam' (iter 7/10)
    INFO [17:27:33.512] Applying learner 'classif.rpart' on task 'spam' (iter 8/10)
    INFO [17:27:33.661] Applying learner 'classif.rpart' on task 'spam' (iter 9/10)
    INFO [17:27:34.287] Applying learner 'classif.rpart' on task 'spam' (iter 10/10)
    INFO [17:27:34.593] Applying learner 'classif.featureless' on task 'pima' (iter 1/10)
    INFO [17:27:34.613] Applying learner 'classif.featureless' on task 'pima' (iter 2/10)
    INFO [17:27:34.632] Applying learner 'classif.featureless' on task 'pima' (iter 3/10)
    INFO [17:27:34.669] Applying learner 'classif.featureless' on task 'pima' (iter 4/10)
    INFO [17:27:34.706] Applying learner 'classif.featureless' on task 'pima' (iter 5/10)
    INFO [17:27:34.743] Applying learner 'classif.featureless' on task 'pima' (iter 6/10)
    INFO [17:27:34.764] Applying learner 'classif.featureless' on task 'pima' (iter 7/10)
    INFO [17:27:34.783] Applying learner 'classif.featureless' on task 'pima' (iter 8/10)
    INFO [17:27:34.803] Applying learner 'classif.featureless' on task 'pima' (iter 9/10)
    INFO [17:27:34.823] Applying learner 'classif.featureless' on task 'pima' (iter 10/10)
    INFO [17:27:34.858] Applying learner 'classif.rpart' on task 'pima' (iter 1/10)
    INFO [17:27:34.926] Applying learner 'classif.rpart' on task 'pima' (iter 2/10)
    INFO [17:27:34.997] Applying learner 'classif.rpart' on task 'pima' (iter 3/10)
    INFO [17:27:35.072] Applying learner 'classif.rpart' on task 'pima' (iter 4/10)
    INFO [17:27:35.115] Applying learner 'classif.rpart' on task 'pima' (iter 5/10)
    INFO [17:27:35.154] Applying learner 'classif.rpart' on task 'pima' (iter 6/10)
    INFO [17:27:35.252] Applying learner 'classif.rpart' on task 'pima' (iter 7/10)
    INFO [17:27:35.323] Applying learner 'classif.rpart' on task 'pima' (iter 8/10)
    INFO [17:27:35.392] Applying learner 'classif.rpart' on task 'pima' (iter 9/10)
    INFO [17:27:35.427] Applying learner 'classif.rpart' on task 'pima' (iter 10/10)
    INFO [17:27:35.463] Applying learner 'classif.featureless' on task 'sonar' (iter 1/10)
    INFO [17:27:35.481] Applying learner 'classif.featureless' on task 'sonar' (iter 2/10)
    INFO [17:27:35.505] Applying learner 'classif.featureless' on task 'sonar' (iter 3/10)
    INFO [17:27:35.524] Applying learner 'classif.featureless' on task 'sonar' (iter 4/10)
    INFO [17:27:35.543] Applying learner 'classif.featureless' on task 'sonar' (iter 5/10)
    INFO [17:27:35.561] Applying learner 'classif.featureless' on task 'sonar' (iter 6/10)
    INFO [17:27:35.581] Applying learner 'classif.featureless' on task 'sonar' (iter 7/10)
    INFO [17:27:35.601] Applying learner 'classif.featureless' on task 'sonar' (iter 8/10)
    INFO [17:27:35.637] Applying learner 'classif.featureless' on task 'sonar' (iter 9/10)
    INFO [17:27:35.688] Applying learner 'classif.featureless' on task 'sonar' (iter 10/10)
    INFO [17:27:35.730] Applying learner 'classif.rpart' on task 'sonar' (iter 1/10)
    INFO [17:27:35.844] Applying learner 'classif.rpart' on task 'sonar' (iter 2/10)
    INFO [17:27:35.949] Applying learner 'classif.rpart' on task 'sonar' (iter 3/10)
    INFO [17:27:36.013] Applying learner 'classif.rpart' on task 'sonar' (iter 4/10)
    INFO [17:27:36.069] Applying learner 'classif.rpart' on task 'sonar' (iter 5/10)
    INFO [17:27:36.150] Applying learner 'classif.rpart' on task 'sonar' (iter 6/10)
    INFO [17:27:36.254] Applying learner 'classif.rpart' on task 'sonar' (iter 7/10)
    INFO [17:27:36.310] Applying learner 'classif.rpart' on task 'sonar' (iter 8/10)
    INFO [17:27:36.370] Applying learner 'classif.rpart' on task 'sonar' (iter 9/10)
    INFO [17:27:36.473] Applying learner 'classif.rpart' on task 'sonar' (iter 10/10)
    INFO [17:27:36.548] Finished benchmark
    >
    > head(fortify(object))
    Error: $ operator is invalid for atomic vectors
    Execution halted
Flavor: r-patched-linux-x86_64

Version: 0.2.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [27s/28s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(mlr3viz)
     >
     > test_check("mlr3viz")
     ── 1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10) ─────────────
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::fortify(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::fortify.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     ── 2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18) ────────────
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::autoplot(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::autoplot.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 89 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 2 ]
     1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10)
     2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-patched-linux-x86_64

Version: 0.2.0
Check: examples
Result: ERROR
    Running examples in ‘mlr3viz-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: autoplot.BenchmarkResult
    > ### Title: Plot for BenchmarkResult
    > ### Aliases: autoplot.BenchmarkResult
    >
    > ### ** Examples
    >
    > library(mlr3)
    > library(mlr3viz)
    >
    > tasks = tsks(c("spam", "pima", "sonar"))
    > learner = lrns(c("classif.featureless", "classif.rpart"),
    + predict_type = "prob")
    > resampling = rsmps("cv")
    > object = benchmark(benchmark_grid(tasks, learner, resampling))
    INFO [11:25:52.031] Benchmark with 60 resampling iterations
    INFO [11:25:52.279] Applying learner 'classif.featureless' on task 'spam' (iter 1/10)
    INFO [11:25:52.361] Applying learner 'classif.featureless' on task 'spam' (iter 2/10)
    INFO [11:25:52.388] Applying learner 'classif.featureless' on task 'spam' (iter 3/10)
    INFO [11:25:52.416] Applying learner 'classif.featureless' on task 'spam' (iter 4/10)
    INFO [11:25:52.444] Applying learner 'classif.featureless' on task 'spam' (iter 5/10)
    INFO [11:25:52.487] Applying learner 'classif.featureless' on task 'spam' (iter 6/10)
    INFO [11:25:52.515] Applying learner 'classif.featureless' on task 'spam' (iter 7/10)
    INFO [11:25:52.543] Applying learner 'classif.featureless' on task 'spam' (iter 8/10)
    INFO [11:25:52.580] Applying learner 'classif.featureless' on task 'spam' (iter 9/10)
    INFO [11:25:52.608] Applying learner 'classif.featureless' on task 'spam' (iter 10/10)
    INFO [11:25:52.636] Applying learner 'classif.rpart' on task 'spam' (iter 1/10)
    INFO [11:25:53.069] Applying learner 'classif.rpart' on task 'spam' (iter 2/10)
    INFO [11:25:53.451] Applying learner 'classif.rpart' on task 'spam' (iter 3/10)
    INFO [11:25:53.896] Applying learner 'classif.rpart' on task 'spam' (iter 4/10)
    INFO [11:25:54.340] Applying learner 'classif.rpart' on task 'spam' (iter 5/10)
    INFO [11:25:54.704] Applying learner 'classif.rpart' on task 'spam' (iter 6/10)
    INFO [11:25:55.045] Applying learner 'classif.rpart' on task 'spam' (iter 7/10)
    INFO [11:25:55.447] Applying learner 'classif.rpart' on task 'spam' (iter 8/10)
    INFO [11:25:55.818] Applying learner 'classif.rpart' on task 'spam' (iter 9/10)
    INFO [11:25:56.181] Applying learner 'classif.rpart' on task 'spam' (iter 10/10)
    INFO [11:25:56.553] Applying learner 'classif.featureless' on task 'pima' (iter 1/10)
    INFO [11:25:56.580] Applying learner 'classif.featureless' on task 'pima' (iter 2/10)
    INFO [11:25:56.607] Applying learner 'classif.featureless' on task 'pima' (iter 3/10)
    INFO [11:25:56.634] Applying learner 'classif.featureless' on task 'pima' (iter 4/10)
    INFO [11:25:56.662] Applying learner 'classif.featureless' on task 'pima' (iter 5/10)
    INFO [11:25:56.689] Applying learner 'classif.featureless' on task 'pima' (iter 6/10)
    INFO [11:25:56.716] Applying learner 'classif.featureless' on task 'pima' (iter 7/10)
    INFO [11:25:56.743] Applying learner 'classif.featureless' on task 'pima' (iter 8/10)
    INFO [11:25:56.770] Applying learner 'classif.featureless' on task 'pima' (iter 9/10)
    INFO [11:25:56.813] Applying learner 'classif.featureless' on task 'pima' (iter 10/10)
    INFO [11:25:56.842] Applying learner 'classif.rpart' on task 'pima' (iter 1/10)
    INFO [11:25:56.892] Applying learner 'classif.rpart' on task 'pima' (iter 2/10)
    INFO [11:25:56.943] Applying learner 'classif.rpart' on task 'pima' (iter 3/10)
    INFO [11:25:56.990] Applying learner 'classif.rpart' on task 'pima' (iter 4/10)
    INFO [11:25:57.038] Applying learner 'classif.rpart' on task 'pima' (iter 5/10)
    INFO [11:25:57.098] Applying learner 'classif.rpart' on task 'pima' (iter 6/10)
    INFO [11:25:57.147] Applying learner 'classif.rpart' on task 'pima' (iter 7/10)
    INFO [11:25:57.194] Applying learner 'classif.rpart' on task 'pima' (iter 8/10)
    INFO [11:25:57.242] Applying learner 'classif.rpart' on task 'pima' (iter 9/10)
    INFO [11:25:57.290] Applying learner 'classif.rpart' on task 'pima' (iter 10/10)
    INFO [11:25:57.352] Applying learner 'classif.featureless' on task 'sonar' (iter 1/10)
    INFO [11:25:57.377] Applying learner 'classif.featureless' on task 'sonar' (iter 2/10)
    INFO [11:25:57.403] Applying learner 'classif.featureless' on task 'sonar' (iter 3/10)
    INFO [11:25:57.428] Applying learner 'classif.featureless' on task 'sonar' (iter 4/10)
    INFO [11:25:57.454] Applying learner 'classif.featureless' on task 'sonar' (iter 5/10)
    INFO [11:25:57.497] Applying learner 'classif.featureless' on task 'sonar' (iter 6/10)
    INFO [11:25:57.524] Applying learner 'classif.featureless' on task 'sonar' (iter 7/10)
    INFO [11:25:57.552] Applying learner 'classif.featureless' on task 'sonar' (iter 8/10)
    INFO [11:25:57.580] Applying learner 'classif.featureless' on task 'sonar' (iter 9/10)
    INFO [11:25:57.689] Applying learner 'classif.featureless' on task 'sonar' (iter 10/10)
    INFO [11:25:57.718] Applying learner 'classif.rpart' on task 'sonar' (iter 1/10)
    INFO [11:25:57.799] Applying learner 'classif.rpart' on task 'sonar' (iter 2/10)
    INFO [11:25:57.886] Applying learner 'classif.rpart' on task 'sonar' (iter 3/10)
    INFO [11:25:57.980] Applying learner 'classif.rpart' on task 'sonar' (iter 4/10)
    INFO [11:25:58.058] Applying learner 'classif.rpart' on task 'sonar' (iter 5/10)
    INFO [11:25:58.135] Applying learner 'classif.rpart' on task 'sonar' (iter 6/10)
    INFO [11:25:58.228] Applying learner 'classif.rpart' on task 'sonar' (iter 7/10)
    INFO [11:25:58.305] Applying learner 'classif.rpart' on task 'sonar' (iter 8/10)
    INFO [11:25:58.381] Applying learner 'classif.rpart' on task 'sonar' (iter 9/10)
    INFO [11:25:58.477] Applying learner 'classif.rpart' on task 'sonar' (iter 10/10)
    INFO [11:25:58.558] Finished benchmark
    >
    > head(fortify(object))
    Error: $ operator is invalid for atomic vectors
    Execution halted
Flavor: r-patched-solaris-x86

Version: 0.2.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [34s/37s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(mlr3viz)
     >
     > test_check("mlr3viz")
     ── 1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10) ─────────────
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::fortify(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::fortify.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     ── 2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18) ────────────
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::autoplot(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::autoplot.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 89 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 2 ]
     1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10)
     2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-patched-solaris-x86

Version: 0.2.0
Check: examples
Result: ERROR
    Running examples in ‘mlr3viz-Ex.R’ failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: autoplot.BenchmarkResult
    > ### Title: Plot for BenchmarkResult
    > ### Aliases: autoplot.BenchmarkResult
    >
    > ### ** Examples
    >
    > library(mlr3)
    > library(mlr3viz)
    >
    > tasks = tsks(c("spam", "pima", "sonar"))
    > learner = lrns(c("classif.featureless", "classif.rpart"),
    + predict_type = "prob")
    > resampling = rsmps("cv")
    > object = benchmark(benchmark_grid(tasks, learner, resampling))
    INFO [09:36:27.168] Benchmark with 60 resampling iterations
    INFO [09:36:27.362] Applying learner 'classif.featureless' on task 'spam' (iter 1/10)
    INFO [09:36:27.432] Applying learner 'classif.featureless' on task 'spam' (iter 2/10)
    INFO [09:36:27.474] Applying learner 'classif.featureless' on task 'spam' (iter 3/10)
    INFO [09:36:27.516] Applying learner 'classif.featureless' on task 'spam' (iter 4/10)
    INFO [09:36:27.561] Applying learner 'classif.featureless' on task 'spam' (iter 5/10)
    INFO [09:36:27.597] Applying learner 'classif.featureless' on task 'spam' (iter 6/10)
    INFO [09:36:27.654] Applying learner 'classif.featureless' on task 'spam' (iter 7/10)
    INFO [09:36:27.695] Applying learner 'classif.featureless' on task 'spam' (iter 8/10)
    INFO [09:36:27.742] Applying learner 'classif.featureless' on task 'spam' (iter 9/10)
    INFO [09:36:27.783] Applying learner 'classif.featureless' on task 'spam' (iter 10/10)
    INFO [09:36:27.824] Applying learner 'classif.rpart' on task 'spam' (iter 1/10)
    INFO [09:36:28.322] Applying learner 'classif.rpart' on task 'spam' (iter 2/10)
    INFO [09:36:28.860] Applying learner 'classif.rpart' on task 'spam' (iter 3/10)
    INFO [09:36:29.272] Applying learner 'classif.rpart' on task 'spam' (iter 4/10)
    INFO [09:36:29.479] Applying learner 'classif.rpart' on task 'spam' (iter 5/10)
    INFO [09:36:29.797] Applying learner 'classif.rpart' on task 'spam' (iter 6/10)
    INFO [09:36:29.932] Applying learner 'classif.rpart' on task 'spam' (iter 7/10)
    INFO [09:36:30.585] Applying learner 'classif.rpart' on task 'spam' (iter 8/10)
    INFO [09:36:30.799] Applying learner 'classif.rpart' on task 'spam' (iter 9/10)
    INFO [09:36:31.332] Applying learner 'classif.rpart' on task 'spam' (iter 10/10)
    INFO [09:36:31.855] Applying learner 'classif.featureless' on task 'pima' (iter 1/10)
    INFO [09:36:31.874] Applying learner 'classif.featureless' on task 'pima' (iter 2/10)
    INFO [09:36:31.892] Applying learner 'classif.featureless' on task 'pima' (iter 3/10)
    INFO [09:36:31.911] Applying learner 'classif.featureless' on task 'pima' (iter 4/10)
    INFO [09:36:31.930] Applying learner 'classif.featureless' on task 'pima' (iter 5/10)
    INFO [09:36:31.955] Applying learner 'classif.featureless' on task 'pima' (iter 6/10)
    INFO [09:36:31.974] Applying learner 'classif.featureless' on task 'pima' (iter 7/10)
    INFO [09:36:31.992] Applying learner 'classif.featureless' on task 'pima' (iter 8/10)
    INFO [09:36:32.010] Applying learner 'classif.featureless' on task 'pima' (iter 9/10)
    INFO [09:36:32.028] Applying learner 'classif.featureless' on task 'pima' (iter 10/10)
    INFO [09:36:32.047] Applying learner 'classif.rpart' on task 'pima' (iter 1/10)
    INFO [09:36:32.081] Applying learner 'classif.rpart' on task 'pima' (iter 2/10)
    INFO [09:36:32.123] Applying learner 'classif.rpart' on task 'pima' (iter 3/10)
    INFO [09:36:32.158] Applying learner 'classif.rpart' on task 'pima' (iter 4/10)
    INFO [09:36:32.193] Applying learner 'classif.rpart' on task 'pima' (iter 5/10)
    INFO [09:36:32.227] Applying learner 'classif.rpart' on task 'pima' (iter 6/10)
    INFO [09:36:32.300] Applying learner 'classif.rpart' on task 'pima' (iter 7/10)
    INFO [09:36:32.339] Applying learner 'classif.rpart' on task 'pima' (iter 8/10)
    INFO [09:36:32.375] Applying learner 'classif.rpart' on task 'pima' (iter 9/10)
    INFO [09:36:32.408] Applying learner 'classif.rpart' on task 'pima' (iter 10/10)
    INFO [09:36:32.453] Applying learner 'classif.featureless' on task 'sonar' (iter 1/10)
    INFO [09:36:32.473] Applying learner 'classif.featureless' on task 'sonar' (iter 2/10)
    INFO [09:36:32.507] Applying learner 'classif.featureless' on task 'sonar' (iter 3/10)
    INFO [09:36:32.528] Applying learner 'classif.featureless' on task 'sonar' (iter 4/10)
    INFO [09:36:32.549] Applying learner 'classif.featureless' on task 'sonar' (iter 5/10)
    INFO [09:36:32.569] Applying learner 'classif.featureless' on task 'sonar' (iter 6/10)
    INFO [09:36:32.588] Applying learner 'classif.featureless' on task 'sonar' (iter 7/10)
    INFO [09:36:32.608] Applying learner 'classif.featureless' on task 'sonar' (iter 8/10)
    INFO [09:36:32.628] Applying learner 'classif.featureless' on task 'sonar' (iter 9/10)
    INFO [09:36:32.648] Applying learner 'classif.featureless' on task 'sonar' (iter 10/10)
    INFO [09:36:32.673] Applying learner 'classif.rpart' on task 'sonar' (iter 1/10)
    INFO [09:36:32.729] Applying learner 'classif.rpart' on task 'sonar' (iter 2/10)
    INFO [09:36:32.785] Applying learner 'classif.rpart' on task 'sonar' (iter 3/10)
    INFO [09:36:32.847] Applying learner 'classif.rpart' on task 'sonar' (iter 4/10)
    INFO [09:36:32.902] Applying learner 'classif.rpart' on task 'sonar' (iter 5/10)
    INFO [09:36:32.963] Applying learner 'classif.rpart' on task 'sonar' (iter 6/10)
    INFO [09:36:33.022] Applying learner 'classif.rpart' on task 'sonar' (iter 7/10)
    INFO [09:36:33.081] Applying learner 'classif.rpart' on task 'sonar' (iter 8/10)
    INFO [09:36:33.144] Applying learner 'classif.rpart' on task 'sonar' (iter 9/10)
    INFO [09:36:33.201] Applying learner 'classif.rpart' on task 'sonar' (iter 10/10)
    INFO [09:36:33.260] Finished benchmark
    >
    > head(fortify(object))
    Error: $ operator is invalid for atomic vectors
    Execution halted
Flavor: r-release-linux-x86_64

Version: 0.2.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [28s/30s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(mlr3viz)
     >
     > test_check("mlr3viz")
     ── 1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10) ─────────────
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::fortify(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::fortify.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     ── 2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18) ────────────
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::autoplot(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::autoplot.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 89 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 2 ]
     1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10)
     2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-release-linux-x86_64

Version: 0.2.0
Check: examples
Result: ERROR
    Running examples in 'mlr3viz-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: autoplot.BenchmarkResult
    > ### Title: Plot for BenchmarkResult
    > ### Aliases: autoplot.BenchmarkResult
    >
    > ### ** Examples
    >
    > library(mlr3)
    > library(mlr3viz)
    >
    > tasks = tsks(c("spam", "pima", "sonar"))
    > learner = lrns(c("classif.featureless", "classif.rpart"),
    + predict_type = "prob")
    > resampling = rsmps("cv")
    > object = benchmark(benchmark_grid(tasks, learner, resampling))
    INFO [01:05:14.052] Benchmark with 60 resampling iterations
    INFO [01:05:14.176] Applying learner 'classif.featureless' on task 'spam' (iter 1/10)
    INFO [01:05:14.208] Applying learner 'classif.featureless' on task 'spam' (iter 2/10)
    INFO [01:05:14.223] Applying learner 'classif.featureless' on task 'spam' (iter 3/10)
    INFO [01:05:14.239] Applying learner 'classif.featureless' on task 'spam' (iter 4/10)
    INFO [01:05:14.254] Applying learner 'classif.featureless' on task 'spam' (iter 5/10)
    INFO [01:05:14.270] Applying learner 'classif.featureless' on task 'spam' (iter 6/10)
    INFO [01:05:14.270] Applying learner 'classif.featureless' on task 'spam' (iter 7/10)
    INFO [01:05:14.286] Applying learner 'classif.featureless' on task 'spam' (iter 8/10)
    INFO [01:05:14.301] Applying learner 'classif.featureless' on task 'spam' (iter 9/10)
    INFO [01:05:14.317] Applying learner 'classif.featureless' on task 'spam' (iter 10/10)
    INFO [01:05:14.317] Applying learner 'classif.rpart' on task 'spam' (iter 1/10)
    INFO [01:05:14.442] Applying learner 'classif.rpart' on task 'spam' (iter 2/10)
    INFO [01:05:14.535] Applying learner 'classif.rpart' on task 'spam' (iter 3/10)
    INFO [01:05:14.644] Applying learner 'classif.rpart' on task 'spam' (iter 4/10)
    INFO [01:05:14.738] Applying learner 'classif.rpart' on task 'spam' (iter 5/10)
    INFO [01:05:14.832] Applying learner 'classif.rpart' on task 'spam' (iter 6/10)
    INFO [01:05:14.925] Applying learner 'classif.rpart' on task 'spam' (iter 7/10)
    INFO [01:05:15.019] Applying learner 'classif.rpart' on task 'spam' (iter 8/10)
    INFO [01:05:15.128] Applying learner 'classif.rpart' on task 'spam' (iter 9/10)
    INFO [01:05:15.222] Applying learner 'classif.rpart' on task 'spam' (iter 10/10)
    INFO [01:05:15.315] Applying learner 'classif.featureless' on task 'pima' (iter 1/10)
    INFO [01:05:15.331] Applying learner 'classif.featureless' on task 'pima' (iter 2/10)
    INFO [01:05:15.331] Applying learner 'classif.featureless' on task 'pima' (iter 3/10)
    INFO [01:05:15.346] Applying learner 'classif.featureless' on task 'pima' (iter 4/10)
    INFO [01:05:15.362] Applying learner 'classif.featureless' on task 'pima' (iter 5/10)
    INFO [01:05:15.378] Applying learner 'classif.featureless' on task 'pima' (iter 6/10)
    INFO [01:05:15.393] Applying learner 'classif.featureless' on task 'pima' (iter 7/10)
    INFO [01:05:15.393] Applying learner 'classif.featureless' on task 'pima' (iter 8/10)
    INFO [01:05:15.409] Applying learner 'classif.featureless' on task 'pima' (iter 9/10)
    INFO [01:05:15.424] Applying learner 'classif.featureless' on task 'pima' (iter 10/10)
    INFO [01:05:15.440] Applying learner 'classif.rpart' on task 'pima' (iter 1/10)
    INFO [01:05:15.487] Applying learner 'classif.rpart' on task 'pima' (iter 2/10)
    INFO [01:05:15.518] Applying learner 'classif.rpart' on task 'pima' (iter 3/10)
    INFO [01:05:15.549] Applying learner 'classif.rpart' on task 'pima' (iter 4/10)
    INFO [01:05:15.596] Applying learner 'classif.rpart' on task 'pima' (iter 5/10)
    INFO [01:05:15.627] Applying learner 'classif.rpart' on task 'pima' (iter 6/10)
    INFO [01:05:15.674] Applying learner 'classif.rpart' on task 'pima' (iter 7/10)
    INFO [01:05:15.705] Applying learner 'classif.rpart' on task 'pima' (iter 8/10)
    INFO [01:05:15.736] Applying learner 'classif.rpart' on task 'pima' (iter 9/10)
    INFO [01:05:15.768] Applying learner 'classif.rpart' on task 'pima' (iter 10/10)
    INFO [01:05:15.799] Applying learner 'classif.featureless' on task 'sonar' (iter 1/10)
    INFO [01:05:15.830] Applying learner 'classif.featureless' on task 'sonar' (iter 2/10)
    INFO [01:05:15.846] Applying learner 'classif.featureless' on task 'sonar' (iter 3/10)
    INFO [01:05:15.861] Applying learner 'classif.featureless' on task 'sonar' (iter 4/10)
    INFO [01:05:15.877] Applying learner 'classif.featureless' on task 'sonar' (iter 5/10)
    INFO [01:05:15.908] Applying learner 'classif.featureless' on task 'sonar' (iter 6/10)
    INFO [01:05:15.924] Applying learner 'classif.featureless' on task 'sonar' (iter 7/10)
    INFO [01:05:15.939] Applying learner 'classif.featureless' on task 'sonar' (iter 8/10)
    INFO [01:05:15.970] Applying learner 'classif.featureless' on task 'sonar' (iter 9/10)
    INFO [01:05:15.986] Applying learner 'classif.featureless' on task 'sonar' (iter 10/10)
    INFO [01:05:16.002] Applying learner 'classif.rpart' on task 'sonar' (iter 1/10)
    INFO [01:05:16.064] Applying learner 'classif.rpart' on task 'sonar' (iter 2/10)
    INFO [01:05:16.126] Applying learner 'classif.rpart' on task 'sonar' (iter 3/10)
    INFO [01:05:16.189] Applying learner 'classif.rpart' on task 'sonar' (iter 4/10)
    INFO [01:05:16.251] Applying learner 'classif.rpart' on task 'sonar' (iter 5/10)
    INFO [01:05:16.298] Applying learner 'classif.rpart' on task 'sonar' (iter 6/10)
    INFO [01:05:16.360] Applying learner 'classif.rpart' on task 'sonar' (iter 7/10)
    INFO [01:05:16.423] Applying learner 'classif.rpart' on task 'sonar' (iter 8/10)
    INFO [01:05:16.485] Applying learner 'classif.rpart' on task 'sonar' (iter 9/10)
    INFO [01:05:16.548] Applying learner 'classif.rpart' on task 'sonar' (iter 10/10)
    INFO [01:05:16.594] Finished benchmark
    >
    > head(fortify(object))
    Error: $ operator is invalid for atomic vectors
    Execution halted
Flavor: r-oldrel-windows-ix86+x86_64

Version: 0.2.0
Check: tests
Result: ERROR
     Running 'testthat.R' [19s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(mlr3viz)
     >
     > test_check("mlr3viz")
     -- 1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10) -------------
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::fortify(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::fortify.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     -- 2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18) ------------
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::autoplot(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::autoplot.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     == testthat results ===========================================================
     [ OK: 89 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 2 ]
     1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10)
     2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-oldrel-windows-ix86+x86_64