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https://github.com/dmpe/R

Exercises (incl. analyses) with R language (math+statistics)
https://github.com/dmpe/R

course data-analysis exercise r statistics

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Exercises (incl. analyses) with R language (math+statistics)

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R Analyses & other statistics courses
====

Here you may find all exercises with R from :

1. [Udacity - Statistics @ Sebastian Thrun](https://www.udacity.com/course/st101)
2. [Coursera's Statistics One](https://class.coursera.org/stats1-002/class)
3. [Data Analysis and Statistical Inference class](https://www.coursera.org/course/statistics)
4. [R Programming - Roger Peng et al. @ JHU](https://www.coursera.org/course/rprog)
5. [Exploratory Data Analysis - Roger Peng et al. @ JHU](https://www.coursera.org/course/exdata)
6. [Practical Machine Learning - Jeff Leek et al. @ JHU](https://www.coursera.org/course/predmachlearn)
7. [Programming for Everybody (Getting Started with Python)](https://www.coursera.org/learn/python/)
8. [Crowdsourcing Data Analysis 2, Phase 2: Explaining Variability in Analyses and Results](https://docs.google.com/document/d/1fXQBLdWydISskOKhoq8gl5unuwsv7VA3pkKY4IWFS6o/edit)
- [Results](http://rpubs.com/F789GH/AnalysisOfEdgeOrgData)
9. [Data analysis course @ FAU university](https://www.statistik.rw.fau.de/lehre/bachelor/datenanalyse/)
10. [R Programming Language Explained - FreeCodeCamp.org Article](https://www.freecodecamp.org/news/r-programming-language-explained/)

My IDE of choice is [RStudio](http://www.rstudio.com/). Just try it and [follow its development](https://www.github.com/rstudio/rstudio)