Vignettes

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.

Step-by-Step rpact Tutorial

Getting started

The R package rpact has been developed to design sequential and adaptive experiments. Many of the functions of the R package are available in an online [Shiny…

Daniel Lakens, Friedrich Pahlke, Gernot Wassmer

Designing Group Sequential Trials with a Binary Endpoint with rpact

Planning

Rates

This document provides examples for designing trials with binary endpoints using rpact.

Marcel Wolbers, Gernot Wassmer, and Friedrich Pahlke

Planning a Trial with Binary Endpoints with rpact

Planning

Rates

Sample size

Power simulation

This document provides an example for planning a trial with a binary endpoint using rpact. It also illustrates the use of ggplot2 for illustrating…

Gernot Wassmer and Friedrich Pahlke

Defining Group Sequential Boundaries with rpact

Planning

This document provides example code for the the definition of the most commonly used group sequential boundaries in rpact.

Marcel Wolbers, Gernot Wassmer, and Friedrich Pahlke

An Example to Illustrate Boundary Re-Calculations during the Trial with rpact

Planning

Survival

This document provides an example for updating the group sequential boundaries when using an \(alpha\)-spending function approach based on observed information rates in rpact. Since…

Marcel Wolbers, Gernot Wassmer, and Friedrich Pahlke

Designing Group Sequential Trials with Two Groups and a Continuous Endpoint with rpact

Planning

Means

This document provides examples for designing trials with continuous endpoints using rpact.

Dietmar Volz, Marcel Wolbers, Gernot Wassmer, and Friedrich Pahlke

Delayed Response Designs with rpact

Planning

General

This document provides a brief introduction to group sequential designs with delayed responses as proposed by Hampson and Jennison (2013). It is shown how this is implemented in…

Stephen Schueuerhuis, Gernot Wassmer, and Friedrich Pahlke

Planning and Analyzing a Group-Sequential Multi-Arm Multi-Stage Design with Binary Endpoint using rpact

Planning

Rates

Multi-arm

Analysis

This document provides an example of implementing, simulating and analyzing multi-arm-multi-stage (MAMS) designs for testing rates with rpact with special regards to futility…

Stephen Schueuerhuis, Gernot Wassmer, and Friedrich Pahlke

Simulating Multi-Arm Designs with a Continuous Endpoint using rpact

Planning

Means

Power simulation

Multi-arm

This document provides examples for simulating multi-arm multi-stage (MAMS) designs for testing means with rpact.

Gernot Wassmer and Friedrich Pahlke

Simulation of a Trial with a Binary Endpoint and Unblinded Sample Size Re-Calculation with rpact

Planning

Rates

Sample size

Power simulation

This 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…

Marcel Wolbers, Gernot Wassmer, and Friedrich Pahlke

Designing Group Sequential Trials with Two Groups and a Survival Endpoint with rpact

Planning

Survival

This document provides examples for designing trials with survival endpoints using rpact.

Marcel Wolbers, Gernot Wassmer, and Friedrich Pahlke

Planning a Survival Trial with rpact

Planning

Survival

Sample size

Power simulation

This 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…

Gernot Wassmer and Friedrich Pahlke

Simulation-Based Design of Group Sequential Trials with a Survival Endpoint with rpact

Planning

Survival

Power simulation

This document describes how to simulate design characterics for survival design under complex settings (incl. non-proportional hazards) in rpact.

Marcel Wolbers, Gernot Wassmer, and Friedrich Pahlke

Comparing Sample Size and Power Calculation Results for a Group Sequential Trial with a Survival Endpoint: rpact vs. gsDesign

Planning

Survival

This document provides an example that illustrates how to compare sample size and power calculation results of the two different R packages rpact and…

Gernot Wassmer, Friedrich Pahlke, and Marcel Wolbers

Analysis of a Group Sequential Trial with a Survival Endpoint using rpact

Analysis

Survival

This document provides examples how to analyse a group sequential trial with a survival endpoint and provide inference throughout and at the end of the trial with rpact.

Marcel Wolbers, Gernot Wassmer, and Friedrich Pahlke

Two-arm Analysis for Continuous Data with Covariates from Raw Data using rpact

Analysis

Means

This document provides an example for importing raw data from a csv file, calculating estimated adjusted (marginal) means (EMMs, least-squares means) for a linear model, and performing two-arm interim analyses with these…

Friedrich Pahlke and Gernot Wassmer

Using the Inverse Normal Combination Test for Analysing a Trial with Continuous Endpoint and Potential Sample Size Re-Assessment with rpact

Analysis

Means

This document provides an example for analysing trials with a continuous endpoint and sample size reassessment using rpact.

Gernot Wassmer and Friedrich Pahlke

Analysis of a Multi-Arm Design with a Binary Endpoint using rpact

Analysis

Rates

Multi-arm

This document shows how to analyse and interpret multi-arm designs for testing proportions with rpact.

Gernot Wassmer and Friedrich Pahlke

Defining Accrual Time and Accrual Intensity with rpact

Utilities

Survival

This document provides a technical overview on the different alternatives to define accrual time and accrual intensity with rpact.

Friedrich Pahlke and Gernot Wassmer

rpact: How to install the latest developer version

Utilities

Getting started

This vignette describes the installation of the latest rpact developer version from binary package (Windows) and from source package (Linux).

Friedrich Pahlke

How to use R Generics with rpact

Utilities

This document provides examples that illustrate the usage of R generic functions (short: R generics) with rpact, e.g., as.data.frame or summary.

Friedrich Pahlke and Gernot Wassmer

Supplementing and Enhancing rpact’s Graphical Capabilities with ggplot2

Utilities

Means

Power simulation

The aim of this document is to give a brief description on how easy it is to supplement and enhance plots generated in rpact by use of the…

Yannic Schmidt, Stefan Englert, Martina Kron, Gernot Wassmer, and Friedrich Pahlke

How to Create One- and Multi-Arm Analysis Result Plots with rpact

Utilities

This document provides different examples for creating one- and multi-arm analysis result plots with rpact and ggplot2.

Friedrich Pahlke and Gernot Wassmer

How to Create Admirable Plots with rpact

Utilities

Sample size

Power

Power simulation

This document provides many different examples for creating plots with rpact and ggplot2.

Friedrich Pahlke and Gernot Wassmer

How to Create One- and Multi-Arm Simulation Result Plots with rpact

Utilities

Power simulation

Multi-arm

This document provides many different examples for creating one- and multi-arm as well as enrichment simulation result plots with rpact and…

Friedrich Pahlke and Gernot Wassmer

How to Create Summaries with rpact

Utilities

This 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…

Friedrich Pahlke and Gernot Wassmer