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 |
---|---|---|---|---|
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 R generic function |
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., |
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 |
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 |
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. |
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. |
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 |
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