**Developed for practical use: below you find a collection of practical examples and use-cases, the so-called rpact vignettes.**

In addition to these public open access vignettes, our **RPACT SLA customers** have access to exclusive vignettes on special topics such as the *analysis of multi-stage data with covariates from raw data*.

# | Title | Category Sort ascending | Endpoint | Summary |
---|---|---|---|---|

9 | How to use R generics with rpact | Utilities | Categorical, Continuous, Survival | This R Markdown document provides many different examples that illustrate the usage of so-called |

12 | Supplementing and enhancing rpact's graphical capabilities with ggplot2 | Utilities | Continuous | The aim of this R Markdown document is to give a brief description on |

10 | How to create admirable plots with rpact | Utilities | Categorical, Continuous, Survival | This R Markdown document provides many different examples for creating plots with rpact and ggplot2, e.g. the |

17 | How to create summaries with rpact | Utilities | Categorical, Continuous, Survival | This R Markdown document provides many different examples that illustrate the usage of the |

13 | Using the inverse normal combination test for analysing a trial with continuous endpoint and potential sample size reassessment | Analysis | Continuous | This R Markdown document provides an example for analysing trials with a continuous endpoint and sample size reassessment using rpact. |

21 | Analysis of a multi-arm design with a binary endpoint | Analysis | Categorical | This R Markdown document shows how to analyse and interpret multi-arm designs for testing proportions with rpact. Multi-arm |

18 | How to create one- and multi-arm analysis result plots with rpact | Analysis | Categorical, Continuous, Survival | This R Markdown document provides many different examples for creating one- and multi-arm analysis result plots with rpact and ggplot2. |

7 | Analysis of a group-sequential trial with a survival endpoint | Analysis | Survival | This R Markdown document provides examples how to analyse a survival trial and provide inference throughout and at the end of the trial with rpact. |

14 | Planning a trial with binary endpoints with rpact | Planning | Categorical | This R Markdown document provides an example for planning a trial with a binary endpoint using rpact. It also illustrates the use of ggplot2 for illustrating the characteristics of a sample size recalculation strategy. Another example for planning a trial with binary endpoints can be found here. Sample size, Power simulation |

4 | Designing group-sequential trials with two groups and a survival endpoint with rpact | Planning | Survival | This R Markdown document provides examples for designing trials with survival endpoints using rpact. |

1 | Defining group-sequential boundaries with rpact | Planning | Categorical, Continuous, Survival | This R Markdown document provides example code for the the definition of the most commonly used group-sequential boundaries in rpact. |

15 | Planning a survival trial with rpact | Planning | Survival | This R Markdown document provides an example for planning a trial with a survival endpoint using rpact thereby illustrating the different ways of entering recruitment schemes. It also demonstrates the use of the survival simulation function. Power simulation, Sample size |

6 | An example to illustrate boundary re-calculations during the trial | Planning | Survival | This R Markdown document provides an example for updating the group sequential boundaries when using an alpha spending function approach based on observed information rates in rpact. |

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