Tag University of Tübingen

R & Shiny

An R refresher and a Shiny introduction, together with exercises. Introduction to base R – refresher Programming Shiny apps Shiny exercises

A learnr tutorial including several R Shiny Apps developed within the QHELP and TquanT. projects.

This app illustrates the effects of several factors on the validity of selection decisions, and how these factors influence each other.

This app illustrates how to test for too many successful replications in a series of replication studies.

This app illustrates the concept of statistical power by simulation. It is based on a student app developed at the 2018 TquanT seminar in Glasgow.

A Shiny App for visualizing, simulating and estimating the Time-Window of INtegration (TWIN) model (version 2017).

This app illustrates the one-to-one correspondence between a precedence relation among a number of problems and a quasi-ordinal knowledge space.

This app visualizes the trade-off between the parameters of a non-identifiable basic local independence model (BLIM).

This app demonstrates classical and Bayesian parameter estimation methods for probabilistic knowledge structures.

This app uses three procedures to estimate the parameters for a data set and a knowledge structure specified by the user.