Transforming and scaling data - materials

Understand the fundamental concepts of manipulating data distributions for modelling and visualization

By Matúš Seči (m.seci@ed.ac.uk)

This repository contains materials relating to the tutorial published on our website.

Tutorial Aims

1. Understand the purpose of transformations and scaling in statistical analysis.
2. Understand the underlying mathematics and use appropriate syntax and packages in R to apply both common and more advanced transformations and scaling procedures.
3. Learn how to reverse transformations and scaling to obtain estimates and predictions in the original units of measure.
4. Learn how to change the scales on the plot axes and label them appropriately.
5. Learn how to apply these concepts to real problems in ecology and environmental sciences involving data through worked examples.

Data Licenses

LPI_species.csv

The data were obtained from the Living Planet Index accessible at https://livingplanetindex.org/home/index. They are subject to the data use policy available here.

Palmer Penguins

The other dataset used in the tutorial is Palmer Penguins dataset available through palmerpenguins package in R and is subject to the data policy available here. The data are licensed under the CC0 license.

If you have any questions, feel free to contact us at ourcodingclub@gmail.com