Application

This directory contains scripts and resources for applying the developed statistical models to real-world datasets. The focus is on demonstrating the practical utility of the models and providing examples of their application.

Files

• apply_model.R: The main script for applying the statistical models to datasets. It includes functions for data preprocessing, model fitting, and result visualization.
• data_preprocessing.R: Contains functions for cleaning and preparing datasets for analysis.
• visualization.R: Provides utilities for visualizing model results, including plots and charts.
• example_dataset.csv: A sample dataset used for demonstrating the application of models.

Usage

1. Ensure your dataset is in the correct format and located in the application directory.
2. Modify apply_model.R to specify the dataset and model parameters.
3. Run apply_model.R using R to apply the model to your dataset.
4. Use visualization.R to generate plots and charts of the results.

Dependencies

Ensure you have the necessary R packages installed, such as ggplot2 for visualization and any other packages required by the specific models you are applying.

Notes

• The example_dataset.csv is provided as a template. Replace it with your own data for analysis.
• Customize the scripts as needed to fit the specific requirements of your dataset and analysis goals.