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https://github.com/briatte/ida

Introduction to Data Analysis, using R (2013)
https://github.com/briatte/ida

course data-analysis r

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Introduction to Data Analysis, using R (2013)

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README 

        
# README



[Ivaylo Petev][ivo] and [myself][fr] use this repository to teach an undergraduate introduction to data analysis. The course is [online][ida].



[ivo]: http://ipetev.org/

[fr]: http://f.briatte.org/

[ida]: http://f.briatte.org/teaching/ida/



If you are reading the course on its [online pages][ida], just replace the `.html` extension of a page by `.R` to download the underlying code. 



## HOWTO



The course pages are formatted in R Markdown syntax and were converted to HTML with [knitr][knitr] 1.4:



[knitr]: http://yihui.name/knitr/



    install.packages("knitr")

    citation("knitr")



The knitting routine is in the [`.Rprofile`](.Rprofile). To compile the whole course, set the `IDA` folder as your working directory and then type `ida.build()` (takes a bit more than five minutes on optic fiber).



Other files are called from the [`code/`](https://github.com/briatte/ida/blob/master/code/README.md) and [`data/`](https://github.com/briatte/ida/blob/master/data/README.md) folders. Most datasets are downloaded on the fly if they are missing from the `data/` folder, so make sure that you are online while running the scripts.



The whole course was coded and taught with [RStudio][rs]. The code was ran on R 2.15.2, 2.15.3, 3.0.0 and 3.0.1, on a MacBook Air running OS X 10.8 and Mac OS X 10.9. Most plots use [ggplot2][gg] version 0.9.3.1 (just in case compatibility breaks at some point).



[rs]: http://www.rstudio.com/

[gg]: http://docs.ggplot2.org/current/



## CREDITS



Thanks to the [Sciences Po Reims][spr] staff, who offered invaluable support, and to the small group of students who enrolled in (and survived to) the course. The [R-2013-Lyon](R-2013-Lyon) slides have a bit more detail on the practicals.



[spr]: http://college.sciences-po.fr/sitereims/



Bits and pieces of the code were posted to [Gist][gist], [RPubs][rpubs] and [Stack Overflow][so] during development. Thanks to the great R developer and user communities that live online, and which we are now proud to count ourselves in.



[gist]: https://gist.github.com/briatte

[rpubs]: http://rpubs.com/briatte

[so]: http://stackoverflow.com/



If you share the spirit of all this, you should consider joining the [Foundation for Open Access Statistics][foas] and check out places like [OpenCPU][ocpu], the [Open Knowledge Foundation][okfn] and other initiatives in open access, open data, open source and open science.



[foas]: http://www.foastat.org/

[ocpu]: https://public.opencpu.org/

[okfn]: http://okfn.org/



## HISTORY



__Aug 2013__: better data management, with large or multiple-file datasets read from ZIP archives. Switched datasets to `.csv` [thanks to GitHub](https://github.com/blog/1601-see-your-csvs).



__Jul 2013__: typos and broken links. Removed some functions in `.Rprofile` that are now [part of](https://github.com/juba/questionr/blob/master/R/utils.r) the `questionr` package.



__Jun-2013__: first draft. Everything kind of works, Sessions 5--7 are unlisted, the `code/` folder contains a few more exercises. That's it for now!



__May-2013__: added more course content and better resolution (100dpi) for all plots.



__Apr-2013__: added a lot of course content and cleaner plots. Also adding the [R-2013-Lyon](R-2013-Lyon) folder for a conference presentation on the course.



__Mar-2013__: reviewed course structure: less files, more code, tons of new examples and exercises.



__Feb-2013__: more efficient `.Rprofile` functions and improved `knitr` routine, tidier code on the early sessions.



__Jan-2013__: first release.



> First release: January 2013.  

> Last revised: August 2013.