Was man sonst noch beantworten sollte!

Hier ist die Aufgabenstellung der Korrekturen, die du vom Anfangsskript (R-Tutorial-ST-before-Class-2025-04-07a-BS.Rmd) bis zum finalen Ergebnis vornehmen musst.

Goethe University Frankfurt Preparation - Workspace and Notation Read and Describe Data Variables Selection Hierarchical Clustering 5 Hierarchical Clustering Perform Hierarchical Clustering Run Clustering with Ward Method Derivation of Number of Clusters Dendrogram Elbow-Criterion Save Cluster Assignments Cluster Description Erstelle die Mittelwerte pro Cluster Profile Customers for Targeting Partitional Clustering (here: K-Means) Set Seed Example: Kmeans for 5 Clusters

Introduction to R and RStudio lecture for the 1st year students of Life Sciences and Chemistry Major

This project implements a complete computational framework for CAT, bridging the robust mathematical foundations of Item Response Theory (IRT) with the dynamic, data-driven logic of adaptive algorithms. By continuously selecting the most informative items for each individual, CAT achieves precise ability estimation with substantially fewer questions, reducing testing time by 50–70% while maintaining or enhancing measurement quality. The system integrates core components—from Fisher Information and Bayesian estimation to practical constraints like content balancing and exposure control—into a cohesive, operational engine for next-generation educational, psychological, and professional assessment.

2026-02-04