This repository contains projects completed as part of coursework at school. Each project showcases different data analysis skills using R and R Markdown, focusing on statistical insights and visualizations.
Projects Included:
- Descriptive Analysis for Study: Propofol and Delirium in ARDS ICU Patients
Folder: Propofol-Delirium-Study
Overview:
This project is part of a larger study investigating the association between the duration of propofol infusion and the incidence of delirium in ICU patients suffering from Acute Respiratory Distress Syndrome (ARDS). The analysis includes key variables related to the study and provides visualizations and statistical insights into factors influencing delirium risk.
Objectives:
- Determine the relationship between the duration of propofol use and delirium incidence.
- Assess whether other factors, such as age and ICU stay length, influence delirium rates.
Instructions:
- Navigate to the Propofol-Delirium-Study folder.
- Follow the instructions in the project's README.
Prerequisites:
- R: Version 4.0 or later
- RStudio
General Dependencies:
Each project utilizes various R packages for data analysis and visualization.
Install packages using:
install.packages(c("tidyverse", "skimr", "ggplot2"))
Note: Please refer to each project's README for specific dependencies and installation instructions.
Instructions:
- Clone the Repository:
git clone https://github.com/Gyres/School-Assessments.git cd School-Assessments
- Select a Project:
- Navigate to the desired project folder.
- Follow the instructions in that project's README to run the analysis.
- Running the Analysis:
- Open the
.Rmd
file in RStudio. - Install any missing packages if prompted.
- Run the code chunks sequentially or knit the document to generate the report.
- Open the
Job-Assessments/
│
├── Propofol-Delirium-Study/
│ ├── Descriptive-Analysis-Propofol-Delirium.Rmd
│ ├── Descriptive-Analysis-Propofol-Delirium.md
│ └── README.md
│
└── README.md # This file
This repository and its projects are intended for educational purposes as part of coursework at school. The content and code are not intended for public distribution, reproduction, or commercial use without explicit permission from the author.
Author: Ou Yang Yu