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GitHub - saghirb/R-datatable-Intro: Workshop Materials: Introduction to R concepts and the data.table package

Repsitory of teaching materials for "Getting Started in R - Tinyverse Edition" workshop (course).

This repository contains materials for basic R concepts and data.table basics (~4 hour) workshop. The target audience is R beginners to "intermediate" R users. It is ideal for R meetup groups, R user groups or as pre-conference workshop.

• Use the workshop presentation (HTML):
  • (https://github.com/saghirb/R-datatable-Intro/tree/master/Presentation)
• Share the following zip file with the participants:
  • (https://github.com/saghirb/R-datatable-Intro/raw/master/Share/GSiRdt.zip)
  • Ask them to Unzip

• After presenting and demonstrating the basic R concepts:
  • Participants should work through Share/R-Concepts/Base-R-Exercises.pdf in the zip file.

• After presenting and demonstrating the data.table basics:
  • Ask the participant to double click on Share/World-Popn/World-Popn-dt.Rproj to open Rstudio with the right setup.
  • Participants should then work through Share/World-Popn/World-Population-dt-Exercises.Rmd in the zip file.
  • Start by knitting the document.
  • Ask them to change the name to their name and knit again.

• Share the solutions to the World Population exercises (zip file)
  • (https://github.com/saghirb/R-datatable-Intro/raw/master/Share/World-Popn-dt-Solutions.zip)

Run the _make.R script in the R console.

• data.table is a great, high quality and well maintained package with a strong development team.
• It is fast and memory efficient.
  • Including reading and writing data.
• It has no dependencies and works out of the box :)
• Knowing data.table will increase your knowledge and understanding of R.
  • I think it is a must have (or must know about) package in your R tool kit.
  • Be brave give it a go :)

For more information see http://r-datatable.com

The materials presented in this repository are complementary to Getting Started in R - Tinyverse Edition (co-authored with Dirk Eddelbuettel)

Thanks to Matt Dowle, Arun Srinivasan and all the data.table team and contributors for such a great package.

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