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full-factorial

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An R project that investigates and visualizes the effect of sex and education on an individual's income level through the use of a full-factorial two-way ANOVA test and relevant post hoc significance tests conducted over a 2014 Pew Research Center dataset consisting of higher education attainment, gender, and income data.

  • Updated Jan 8, 2020
  • R

This repository includes the R code used for the project "Mixed-type data clustering: a full factorial benchmarking study on distance-based clustering methods", written by Efthymios Costa. The project is supervised by Dr. Ioanna Papatsouma (Imperial College London) and co-supervised by Professor Alastair Young (Imperial College London).

  • Updated Feb 4, 2022
  • R

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