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Dissertation R Code Repository

This repository contains all R code relating to my dissertation.


📂 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)

  • Package versions are listed to ensure reproducibility of results.