In this section we apply principal component analysis (PCA) to a real life data set. The goal is to reduce the dimensions of the dwd data set by applying PCA.

In the subsequent sections the result of PCA will be we used to build a logistic regression model to predict the occurrence of hot days at any particular weather station in Germany.

Citation

The E-Learning project SOGA-R was developed at the Department of Earth Sciences by Kai Hartmann, Joachim Krois and Annette Rudolph. You can reach us via mail by soga[at]zedat.fu-berlin.de.

Creative Commons License
You may use this project freely under the Creative Commons Attribution-ShareAlike 4.0 International License.

Please cite as follow: Hartmann, K., Krois, J., Rudolph, A. (2023): Statistics and Geodata Analysis using R (SOGA-R). Department of Earth Sciences, Freie Universitaet Berlin.