* using log directory 'd:/Rcompile/CRANpkg/local/4.4/mlr3benchmark.Rcheck'
* using R version 4.4.3 (2025-02-28 ucrt)
* using platform: x86_64-w64-mingw32
* R was compiled by
    gcc.exe (GCC) 13.3.0
    GNU Fortran (GCC) 13.3.0
* running under: Windows Server 2022 x64 (build 20348)
* using session charset: UTF-8
* checking for file 'mlr3benchmark/DESCRIPTION' ... OK
* this is package 'mlr3benchmark' version '0.1.7'
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking whether package 'mlr3benchmark' can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking code files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... [2s] OK
* checking whether the package can be loaded with stated dependencies ... [2s] OK
* checking whether the package can be unloaded cleanly ... [2s] OK
* checking whether the namespace can be loaded with stated dependencies ... [2s] OK
* checking whether the namespace can be unloaded cleanly ... [2s] OK
* checking loading without being on the library search path ... [2s] OK
* checking use of S3 registration ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... [7s] OK
* checking Rd files ... [1s] OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking examples ... [13s] ERROR
Running examples in 'mlr3benchmark-Ex.R' failed
The error most likely occurred in:

> ### Name: autoplot.BenchmarkAggr
> ### Title: Plots for BenchmarkAggr
> ### Aliases: autoplot.BenchmarkAggr
> 
> ### ** Examples
> 
> if (requireNamespaces(c("mlr3learners", "mlr3", "rpart", "xgboost"))) {
+ library(mlr3)
+ library(mlr3learners)
+ library(ggplot2)
+ 
+ set.seed(1)
+ task = tsks(c("iris", "sonar", "wine", "zoo"))
+ learns = lrns(c("classif.featureless", "classif.rpart", "classif.xgboost"))
+ learns$classif.xgboost$param_set$values$nrounds = 50
+ bm = benchmark(benchmark_grid(task, learns, rsmp("cv", folds = 3)))
+ obj = as_benchmark_aggr(bm)
+ 
+ # mean and error bars
+ autoplot(obj, type = "mean", level = 0.95)
+ 
+ if (requireNamespace("PMCMRplus", quietly = TRUE)) {
+   # critical differences
+   autoplot(obj, type = "cd",style = 1)
+   autoplot(obj, type = "cd",style = 2)
+ 
+   # post-hoc friedman-nemenyi
+   autoplot(obj, type = "fn")
+ }
+ 
+ }
INFO  [09:04:14.011] [mlr3] Running benchmark with 36 resampling iterations
INFO  [09:04:14.040] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO  [09:04:14.073] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO  [09:04:14.106] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO  [09:04:14.138] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO  [09:04:14.193] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO  [09:04:14.258] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO  [09:04:14.307] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 1/3)
INFO  [09:04:14.420] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 2/3)
INFO  [09:04:14.528] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 3/3)
INFO  [09:04:14.610] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO  [09:04:14.651] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO  [09:04:14.700] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO  [09:04:14.741] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO  [09:04:14.820] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO  [09:04:14.898] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO  [09:04:14.960] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 1/3)
INFO  [09:04:15.089] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 2/3)
INFO  [09:04:15.181] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 3/3)
INFO  [09:04:15.290] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 1/3)
INFO  [09:04:15.332] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 2/3)
INFO  [09:04:15.372] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 3/3)
INFO  [09:04:15.404] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 1/3)
INFO  [09:04:15.437] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 2/3)
INFO  [09:04:15.484] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 3/3)
INFO  [09:04:15.536] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 1/3)
INFO  [09:04:15.656] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 2/3)
INFO  [09:04:15.753] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 3/3)
INFO  [09:04:15.825] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 1/3)
INFO  [09:04:15.855] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 2/3)
INFO  [09:04:15.895] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 3/3)
INFO  [09:04:15.927] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 1/3)
INFO  [09:04:15.961] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 2/3)
INFO  [09:04:15.995] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 3/3)
INFO  [09:04:16.029] [mlr3] Applying learner 'classif.xgboost' on task 'zoo' (iter 1/3)
INFO  [09:04:16.135] [mlr3] Applying learner 'classif.xgboost' on task 'zoo' (iter 2/3)
INFO  [09:04:16.244] [mlr3] Applying learner 'classif.xgboost' on task 'zoo' (iter 3/3)
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: nthread, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: nthread, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: nthread, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
INFO  [09:04:16.413] [mlr3] Finished benchmark
Error: Global Friedman test non-significant (p > 0.05), try type = 'mean' instead.
Execution halted
* checking for unstated dependencies in 'tests' ... OK
* checking tests ... [10s] OK
  Running 'testthat.R' [9s]
* checking PDF version of manual ... [17s] OK
* checking HTML version of manual ... [2s] OK
* DONE
Status: 1 ERROR