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Exploration of diabetes predictive markers using Principal Component Analysis (PCA) and Logistic Regression in R.

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Exploring Diabetes Using PCA and Logistic Regression

Installation and Running Instructions

Prerequisites

  • R installed on your system. You can download it from R Project.

Installation

  1. Clone the Repository: Clone this GitHub repository to your local machine using the following command:

    git clone https://github.com/rrouz/diabetes-modeling
    
  2. Install R Packages: Run the R script to install the required R packages. Open R in your terminal or RStudio and execute the following commands:

    install.packages("ggplot2")
    install.packages("dplyr")
    install.packages("ggfortify")
    install.packages("factoextra")
    install.packages("moments")
    
  3. Execute the R Markdown Script: Open the R Markdown script in RStudio or your preferred R IDE, knit and view the results.

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Exploration of diabetes predictive markers using Principal Component Analysis (PCA) and Logistic Regression in R.

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