Shiny Apps Gallery
This site contains Shiny apps produced in the QHELP project. For educational purposes, the source code is shown with the apps.
You may also want to look at the Shiny apps produced in
the predecessor project, TquanT.
|Linear Regression:A learnr tutorial.
||LexOPS finds characteristics of words from large corpora to be used in lexical studies.
Validating BLIM-simulated Data: This app does a series of BLIM simulations and shows the dependence of the Discrepancy Index from the noise. The app was inspired by a student app from the 2019 seminar.
Properties of Relations: This app allows you to define an
arbitrary binary relation on a set of five items and shows you whether certain
properties are fulfilled.
Modelling PISA Data by Clusters: An illustration of statistical
learning and visualisation techniques using real-world data (PISA).
Distributions: An illustration of the effect
of violations of assumptions for the F distribution.
QQplot: This Shiny app is meant to let you play around with a few different distributions (Normal, Skew Normal, Cauchy, Skew Cauchy), and check what the effect of different variables (scale, location and shape) on their qq-plot is.