Create unit test for plot_model_performance()

README.md

@@ -54,9 +54,9 @@ mamba install -c conda-forge r-mikropml
 
 ### Dependencies
 
--   Imports: caret, dplyr, e1071, glmnet, kernlab, MLmetrics,
+  - Imports: caret, dplyr, e1071, glmnet, kernlab, MLmetrics,
     randomForest, rlang, rpart, stats, utils, xgboost
--   Suggests: doFuture, foreach, future, future.apply, ggplot2, knitr,
+  - Suggests: doFuture, foreach, future, future.apply, ggplot2, knitr,
     progress, progressr, purrr, rmarkdown, testthat, tidyr
 
 ## Usage
@@ -107,29 +107,35 @@ license](https://creativecommons.org/licenses/by/4.0/).
 
 To cite mikropml in publications, use:
 
+> 
+> 
 > <p>
+> 
 > Topçuoğlu BD, Lapp Z, Sovacool KL, Snitkin E, Wiens J, Schloss PD
 > (2021). “mikropml: User-Friendly R Package for Supervised Machine
 > Learning Pipelines.” <em>Journal of Open Source Software</em>,
 > <b>6</b>(61), 3073.
 > <a href="https://doi.org/10.21105/joss.03073">doi:10.21105/joss.03073</a>,
 > <a href="https://joss.theoj.org/papers/10.21105/joss.03073">https://joss.theoj.org/papers/10.21105/joss.03073</a>.
+> 
 > </p>
 
 A BibTeX entry for LaTeX users is:
 
-     @Article{,
-      title = {{mikropml}: User-Friendly R Package for Supervised Machine Learning Pipelines},
-      author = {Begüm D. Topçuoğlu and Zena Lapp and Kelly L. Sovacool and Evan Snitkin and Jenna Wiens and Patrick D. Schloss},
-      journal = {Journal of Open Source Software},
-      year = {2021},
-      month = {May},
-      volume = {6},
-      number = {61},
-      pages = {3073},
-      doi = {10.21105/joss.03073},
-      url = {https://joss.theoj.org/papers/10.21105/joss.03073},
-    } 
+``` 
+ @Article{,
+  title = {{mikropml}: User-Friendly R Package for Supervised Machine Learning Pipelines},
+  author = {Begüm D. Topçuoğlu and Zena Lapp and Kelly L. Sovacool and Evan Snitkin and Jenna Wiens and Patrick D. Schloss},
+  journal = {Journal of Open Source Software},
+  year = {2021},
+  month = {May},
+  volume = {6},
+  number = {61},
+  pages = {3073},
+  doi = {10.21105/joss.03073},
+  url = {https://joss.theoj.org/papers/10.21105/joss.03073},
+} 
+```
 
 ## Why the name?
 
@@ -138,4 +144,4 @@ This package was originally implemented as a machine learning pipeline
 for microbiome-based classification problems (see [Topçuoğlu *et al.*
 2020](https://doi.org/10.1128/mBio.00434-20)). We realized that these
 methods are applicable in many other fields too, but stuck with the name
-because we like it!
+because we like it\!