An eight-page pdf guide for "Getting Started in R". A 'Second Edition' using tinyplot is also available as a eight-page pdf.
To create a short guide that gives a quick overview and introduction to R.
- Using a practical approach of showing how to do things immediately using realistic examples and a real life dataset.
- Avoiding technical details where possible.
- Making it fun and interesting.
- Beginners.
- Data scientists, statisticians, programmers, ... who want to get a flavour of R.
- Those who want a quick refresher guide to R.
- The curious.
- After reading the guide, following the examples and doing exercises you will learn how to manipulate, visualise and summarise data.
- Hopefully you will have the curiousity to learn more :)
- Clone this repo; or download the 1st ed pdf and its R code (or the 2nd ed pdf and its R code); or download the zip file !
- The repository and the zip file contain an RStudio Project file.
- Open the Project file, or Getting-Started-in-R.pdf, or the R code to get started.
- Enjoy :)
This is modified version of Getting-Started-in-R by Saghir Bashir, with a careful focus on dependency use which we refer to as The Tinyverse.
A big thank you to the reviewers and contributors.
GPL-3
Saghir Bashir and Dirk Eddelbuettel