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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
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	Planning	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 Re-Assessment with rpact	Analysis	Continuous	This R Markdown document provides an example for analysing trials with a continuous endpoint and sample size reassessment 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 in the vignette Designing group sequential trials with a binary endpoint with rpact. Sample size, Power simulation
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
16	Simulation of a Trial with a Binary Endpoint and Unblinded Sample Size Re-Calculation with rpact	Planning	Categorical	This R Markdown document provides examples for assessing trials with adaptive sample size re-calculation (SSR) using rpact. It also shows how to implement the promizing zone approach as proposed by Mehta and Pocock 2011 and further developed by Hsiao et al 2019 with rpact. Power simulation
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 `summary` with rpact. This is a technical vignette and is to be considered mainly as a comprehensive overview of the possible summaries in rpact.
18	How to Create One- and Multi-Arm Analysis Result Plots with rpact	Utilities	Categorical, Continuous, Survival	This R Markdown document provides many different examples for creating one- and multi-arm analysis result plots with rpact and ggplot2. Analysis
19	How to Create One- and Multi-Arm Simulation Result Plots with rpact	Utilities	Categorical, Continuous, Survival	This R Markdown document provides many different examples for creating one- and multi-arm simulation result plots with rpact and ggplot2. Power simulation, Multi-arm, Planning
20	Simulating Multi-Arm Designs with a Continuous Endpoint using rpact	Planning	Continuous	This R Markdown document provides examples for simulating multi-arm multi-stage (MAMS) designs for testing means with rpact. Power simulation, Multi-arm

Vignettes

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