title	author	date
Repo Overview	bjsugg --- @ncsu.edu	April 2021

Purpose and Primary Files

This repo contains all relevant files used for a class project in ST502 - Fundamentals of Statistical Inference II at NC State University. The two primary files of interest are:

• project1gifGuide.RMD - A complete end-to-end, in-depth overview of the purpose of this project, the inference being made, various methods of calculating confidence intervals, and the GIF creation process. A HTML version is also available for download under project1gifGuide.html.

• binom95CI.RData - The data reflected in the GIFs. Contains the output of a Monte Carlo simulation for a Binomial distribution of varying combinations of p and n which took approximately 11 hours to generate. More details on the tables within this file can be found in the primary .RMD file.

Reference Files

All other files from this project are included as well, and were used for either generating data or the drafting of R code.

• project1codeFinal - GIF FUN.R - Contains the Monte Carlo simulation used to generate the data stored in the primary .RData file.

• gifBuildScript - Draft code exploring GIF creation with the gganimate package. The final version of this code is contained within the primary .RMD file.

• Four GIFs - Generated by code chunks within the primary .RMD file where they are also explained in further detail.

Instructions

Anyone can follow the below steps to recreate the GIFs contained within this repo:

1. Download the project1gifGuide.RMD and binom95CI.RData files, and preferably store together in the same directory.

2. Open the .RMD file in R and install any needed packages from the setup code chunk, if not installed already.

3. Navigate to the Data Load section of the .RMD file and ensure the path of the current working directory is set to the location of the downloaded .RData file.

4. Knit the .RMD file and subsequently find the four generated GIFs in the current working directory.

   • Note: This step should take approximately 10 minutes to run.

Enjoy!