Shiny Apps Gallery

This page contains Shiny apps produced by the consortium partners in the QHELP project. There is also a presentation by Fabian Dablander available.

For educational purposes, the source code is shown with the apps.

More apps and presentations have been developed by students in the QHELP seminars.

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.

Conditional Testing

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.

Modeling 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.

Modeling the 2018 PISA Dataset based on PCA and Clustering: A series of interactive tutorials introducing principle component analysis, clustering, linear modelling and cross-validation for large datasets.

Learning Paths: A revision and extension of an app from the TquanT project.

Reliability: How would your house look like if the carpenter building the windows is not fully reliable?

n-Neighbourhood: Illustrating neighbourhoods in knowledge structures (inspired by the Fringe app from the TquanT project).

Tutorial on Knowledge Space Theory: A learnr tutorial including several R Shiny Apps developed within the QHELP and TquanT. projects.

Similarity Assessment: An app for automatic grading of assignments.

R & Shiny: An R refresher and a Shiny introduction, together with exercises.


QHELP is co-funded by the Erasmus+ Programme of the European Commission.

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