Vignettes

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., as.data.frame or summary.

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.

This R Markdown document provides many different examples for creating plots with rpact and ggplot2, e.g. the plot arguments type and showSource will be illustrated.

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.

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

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

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

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.

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.

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

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

This R Markdown document provides many different examples for creating one- and multi-arm simulation result plots with rpact and ggplot2.

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