Dissertation R Code Repository

This repository contains all R code relating to my dissertation.

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📂 Repository Contents

• Data2/
  Contains the HIV dataset used in Section 4 of the dissertation.

• heights_plot/
  Contains the R code for the heights plot used in Figure 1.1.

• EDA_code/
  Contains the R code used for the Exploratory Data Analysis (EDA) in Section 4.1.
  Dependencies:

  • dplyr (v1.1.4)
  • ggplot2 (v3.5.2)

• LMM_code/
  Contains the R code for the Linear Mixed Model (LMM) implementation in Section 4.2.
  Dependencies:

  • nlme (v3.1.167)
  • dplyr (v1.1.4)
  • ggplot2 (v3.5.2)

• RNN_code/
  Contains the R code for the Recurrent Neural Network (RNN) implementation in Section 4.3.
  Dependencies:

  • dplyr (v1.1.4)
  • ggplot2 (v3.5.2)
  • tidyr (v1.3.1)
  • keras3 (v1.4.0)
  • tensorflow (v2.16.0)

• regression_tree_code/
  Contains the R code for the Regression Tree and Gradient Boosting implementations in Sections 4.4 and 4.5.
  Dependencies:

  • rpart (v4.1.24)
  • rpart.plot (v3.1.3)
  • dplyr (v1.1.4)
  • ggplot2 (v3.5.2)
  • xgboost (v1.7.11.1)
  • Matrix (v1.7.1)

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• Package versions are listed to ensure reproducibility of results.