Originally, I really wanted to do a text mining package related to law but it was becoming too complex and I had like 6 steps and cleaning the data before was a mess. I honestly plan on picking this R package back up in the summer and trying to make it work.
The R package(s) that I did for the final project include a temperature conversion package and a “fun” Chipotle ordering package.
Links to my GitHub Repositories to download my packages
Resources I used to create the R packages:
https://hilaryparker.com/2014/04/29/writing-an-r-package-from-scratch/ (provided by Dr.Friedman)
https://www.youtube.com/watch?v=9PyQlbAEujY (video that is literally amazing to follow and was the only thing that made my R package “Build & Reload”
Basically I followed the video linked to create my R projects and packages. The only thing that I had trouble with was with making the DESCRIPTION file but with some research I was able to fix it.
> load_all()
Error: No root directory found in /Users/michelleslement/Desktop/R Programming/Final Project/Chipotle or its parent directories. Root criterion: contains a file `DESCRIPTION`
> use_description() #FIXED
R Code showing my troubles with creating DESCRIPTION file
So, my first R package that I made included simple functions to convert Celsius to Fahrenheit(celsToFah(s)) and Fahrenheit to Celsius(fahToCels(f)).
These were very simple functions and I realized that there are literally at least 10 on the internet as examples and I need to think of something unique.

So, that brings me to my second package: Chipotle
This R package that I made included simple functions that displayed the menu(menuDisplay()) and one to order and show the price of the order(orderBowl(meat, rice, bean, top, extraTop)).


The conversion package is honestly more useful. But after I did my peer reviews, I wanted to do something more fun.
Also, the downfall to the second package is that you can’t implement a data set within the function like you can with the temperature conversion one.
Examples of uses of both packages are in the README files in my GitHub.