class: center, middle, inverse, title-slide .title[ # Course Introduction ] .subtitle[ ## EC655 ] .author[ ### Justin Smith ] .institute[ ### Wilfrid Laurier University ] .date[ ### Fall 2022 ] --- # Introduction - Big part of this course is data analysis - For that we will use
- Pros - Free and open source - Very flexible - Field is moving in this direction - Cons - More difficult that Stata - Help files can be unhelpful - Many ways of doing the same thing --- # Using
- Two main ways of using
1.
Console - Good if you can program 2. R Studio - User interface for
- Gathers many different
windows into easy display - I strongly encourage you to use R Studio --- # Downloading
and R Studio - Before installing R Studio, you must install
- Main download site is https://www.r-project.org .center[ <iframe src="https://www.r-project.org " width="120%" height="400px" data-external="1"></iframe> ] --- # Downloading
and R Studio - Once
is installed, download R Studio - Download site is https://www.rstudio.com/products/rstudio/download/ .center[ <figure> <img src="rstudio.png" width="70%"> </figure> ] --- # Resources for Learning R - YouTube playlist from Economist Nick Huntington-Klein: https://youtu.be/dFSPmjSynCs - Detailed videos explaining the basic, moderate, and advanced level programming - R Studio cheat sheets: https://www.rstudio.com/resources/cheatsheets/ - Listing of commands organized by theme or package - Intro to R for Econometrics by profs at Sciences Po: https://scpoecon.github.io/ScPoEconometrics/ - Explanation of R focused on Economists - Swirl package: https://swirlstats.com/students.html - Package that teaches R within R