The primary goal of this quick start guide is to introduce you to R Studio. By the end of this guide, you’ll not only know how to conduct data analysis: importing data, summarize it, and run a particular data analytic technique, but this guide also shows you how to create a new program for doing data analysis using R software’s functions.
Learn how to import and edit data.
Learn how to run Time Series data analysis techniques.
Learn how to run Panel data analysis techniques.
Leanrn how to run Multivariate data analysis techniques.
Hands-on Programming in R Studio
Bootstrapping and Monte Carlo Simulation.
What is the target audience?
You might be thinking, all of the above – and that is fine. But as a complete beginner learning R-studio.
Learning a new research software or programming language for data analysis using econometrics as a complete beginner is very intimidating. There are a lot of tutorials, documentation, and advice already out but how do you start and proceed with learning R-studio is unclear. You get pulled into many different directions and end up confused and overwhelmed.
I have spent a lot of time deconstructing what it takes to learn research software or programming part from scratch. What it is that you should focus on first and what you should avoid until later.