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.
# Sort descending | Title | Category | Endpoint | Summary |
---|---|---|---|---|
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. |
2 | Designing group-sequential trials with two groups and a continuous endpoint with rpact | Planning | Continuous | This R Markdown document provides examples for designing trials with continuous endpoints using rpact. |
3 | Designing group-sequential trials with a binary endpoint with rpact | Planning | Categorical | This R Markdown document provides examples for designing trials with binary endpoints using rpact. |
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. |
5 | Simulation-based design of group-sequential trials with a survival endpoint with rpact | Planning | Survival | This R Markdown document describes how to simulate design characterics for survival design under complex settings (incl. non-proportional hazards) in rpact. Power simulation |
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. |
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. |
8 | Defining accrual time and accrual intensity with rpact | Planning | Survival | This R Markdown document provides a technical view on the different alternatives to define accrual time and accrual intensity with rpact. |
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 R generic functions (short: R generics) with rpact, e.g., |
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 |
11 | Comparing sample size and power calculation results for a group-sequential trial with a survival endpoint: rpact vs. gsDesign | Planning | Survival | This R Markdown document provides an example that illustrates how to compare sample size and power calculation results of the two different R packages rpact and gsDesign. |
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 how easy it is to supplement and enhance plots generated in rpact by use of the ggplot2 package and associated language. Power simulation |
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. |
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