Shiny-App Collection
On this page you can find a collection of Shiny apps, that were created by team members, students and interns.
| App | Information | Author |
| Tree depth Varimp german | Influence of tree depth on variable importance in random forests | Andrea Schaffert |
| Transformations Varimp german | Influence of transformations on Variable Importance in random forests | Nadine Galsterer |
| Regression Assumptions german | Assumptions of the linear regression model | Martin Sterchi |
| Interaction Importance german | Detecting interactions in random forests | Sven Theiler |
| Regression german | Illustration of the normality assumption for the errors | Martin Sterchi |
| Random Forests english | Variable Selection Bias and Prediction Accuracy in randomForest and cforest | Krenar Sherifi |
| Anchor Point Selection english | Illustration of the method from this article | Lucas Kohler |
SampleSizeR english |
Sample size planning for completely randomized design |
Bernadetta Tarigan, Reinhard Furrer and Kalina Cherneva |
Positive Predictive Values english |
|
Sascha Sauer |
| Multilevel models german | Noah Bosshart | |
| Poisson regression german | Chung Man (Mandy) Fong | |
| Duckling app german | Optional Stopping (for the Scientifica exhibition 2019), instruction (PDF, 340 KB), background (PDF, 2 MB) | Noah Bosshart |
| Power and sample size german | english | Lennart Schneider |