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B01_intro_R_slides.qmd
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---
format: revealjs
output-dir: slides/
---
##

## R
* **R** is a programming language.
* Version 1.0 from 2000 (concept dates back to 1974)
* Main Aim: Statistical computing and data analysis
* R is an interpretet language
* R comes with a command line interface (cli)
* R code is directly executable via the cli
## R

## Why R?
* Easy to get into (although it might not feel that way at first)
* Designed for solving scientific problems
* Big community - Getting help is really easy.
* Open-source, active development
* Used in science, industry, healthcare, NGOs, ...
## Why R?
* R is expandable
* Specialized analysis for specific fields
* Bioinformatics, Medicine, ...
* Machine Learning, Remote Sensing, ...
* Writing Books, Blogs, Apps, ...
> The R package structure has been the key addition to the software - @Chambers2020
## Why R?

##

* Integrated Development Environment (IDE) for R
* Makes R "convenient" to use
* R command line interface + Text editor
* Project Environments, Package Management, Help Pages, Plot Viewer, File Browser ...
## References