# R 网上资源

[NOTE] Updated November 26, 2015. This article may have outdated content or subject matter.

一些有些的 `R`

语言学习资源。

- R Project http://www.r-project.org/

# Point-and-click Interfaces

Two different point-and-click interfaces - Deducer and R Commander (There are others as well, but for beginners, these might be the route to take.)

- Deducer (Software download + manuals)
- Intro to Deducer on Youtube
- Ian Fellows on
- Deducer vs R Commander
- Paper on Deducer comparing itself to R commander and other available GUIs
- John Fox’s notes for installing R Commander
- John Fox’s manual for getting started with R Commander
- Karp (2010)’s introduction to R Commander
- Introduction to R and R Commander by Gutermuth (2010)
- Theresa A Scott’s presentation introducing R commander
- Two video introductions to R Commander are available on Youtube :Part 1 and Part 2.
- A morecomprehensive playlist of R Commander usage on Youtube
- Murtaza Haider:Importance of stats and videos on R and R commander
- R Commander -IPSUR package

# Others

- Sharon Machlis’ (Computer World magazine) 60+ R resources
- Intro to Statistical Programming in R - Tutorial for beginners: https://www.teamleada.com/tutorials/introduction-to-statistical-programming-in-r
- Rob Kabacoff: Quick R
- Free Course on Statistics using R
- Jarrett Byrnes: A Quick and Dirty Intro to doing statistics with R
- William King: R Tutorials
- R Tutorials - Twotorials
- Mark Gardener: Using R for statistical analysis
- Chi Yau: Elementary Statistics with R
- Robert Muenchen: R for statistics (author of how R can be used by SAS/SPSS users)
- Winston Chang: Cookbook for R
- Tanbakuchi
- Jonathan Baron: Notes on R for the use of psychological experiments and questionnaires
- William Revelle: Psychometric Theory with applications in R
- Wikibook on R Programming
- Tuimela and Greco: A presentation of basic statistics using R
- Listing of free books at R Statistics Blog: http://www.r-statistics.com/tag/ebook/
- Jenifer Larson-Hall: A Guide to Doing Statistics in Second Language Using R
- Paul Johnson’s Collection on tips for R more—- Rock Chalk, Jayhawk!!! :-)
- Hastie, Tibshirani, and Friedman: Elements of Statistical Learning
- Venables, Smith, and the R Core team: Book/Manual -Intro to R
- John Verzani: Using R for introductory statistics
- John Verzani’scompanion website to book
- Yanchang Zhao: R Datamining
- Videos: Roger Peng: Computing for Data Analysis using R, Course from Coursera - Videos on Youtube
- Introduction to R videos developed by Google
- Code School for trying R code
- Cosma Shalizi: Advanced Data Analysis from an Elementary Point of View
- OpenIntro Statistics: Free textbook for introductory statistics (using R)
- Max Welling: A First Encounter with Machine Learning
- KD Nuggets: http://www.kdnuggets.com/

# Graphics

- From this blog: Base R versus ggplot2 versus rCharts
- ggplot2 site: ggplot2 versus lattice
- Pugh and Nicholls: ggplot2 versus lattice
- ggplot2
- R Graphical Manual
- Winston Chang’s R Graphics Cookbook
- Basel Institute for Clinical Epidemiology and Biostatistics: ggplot2 handout
- Noam Ross: Quick introduction to ggplot
- R4Statson ggplot
- Graham Williams on ggplot: http://onepager.togaware.com/GGPlot2.pdf
- ggplot2 on stackoverflow
- rCharts and its gallery
- Latticist
- Lattice to ggplot2 conversion
- Robert Cribbie’s Introduction to graphics in R
- Thomas Girke: Graphics and Data visualization in R
- Frank McCown: Producing Simple Graphs in R
- Data Journalism Handbook
- Data Visualization- Edward Tufte
- Functional Art - Alberto Cairo
- Blog on visualization: http://vizualize.tumblr.com/
- Longer list of blogs on data and visualization: http://flowingdata.com/2012/04/27/data-and-visualization-blogs-worth-following/
- Visual literacy:periodic table
- Chart suggestions from Andrew Abela: http://www.extremepresentation.com/design/charts/
- Andrew Pandre’s site for some colored versions of suggested charts
- plyr tutorials
- Plyr to dplyr
- ggplot to ggvis tutorial

# R Search Engines and other bloggers

- http://www.dangoldstein.com/search_r.html
- http://www.rseek.org/
- R Function finders: http://biostat.mc.vanderbilt.edu/s/finder/finder.html
- R Bloggers: http://www.r-bloggers.com/
- Statsblog: http://www.statsblogs.com/
- Gaston Sanchez
- R enthusiast - graphics and more:http://blog.r-enthusiasts.com/
- Simply Statistics:http://simplystatistics.org/
- Francis Smart: http://www.econometricsbysimulation.com/
- Marcus Beck: http://beckmw.wordpress.com/
- Jo-fai Chow’sresource site
- Kai Xin’s resource site:Whizage

This is a dynamic post which I will continue to update whenever I find something new. Hope you will find the following links useful.

### Online Courses for Learning the R language

### Free Documentations for Learning the R Language

- R for Beginners by Emmanuel Paradis
- R Graphics by Paul Murrel
- ggplot2 (official documentation)
- Advanced R Programming by Hadley Wickham

### Online Courses for Data Mining with R

### e-Books for Data Mining with R

- R and Data Mining: Examples and Case Studies by Yanchang Zhao (Really useful worked examples!)
- Data Mining Algorithms in R (Wikibooks)
- The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani and Jerome Friedman
- Introduction to Data Science by Jeffrey Stanton
- Forecasting: Principles and Practice by Rob Hyndman and George Athanasopoulous
- Bayesian Computation with R (Free Kindle Edition): UK Link, US Link (Aug 2013 Update: No longer free)
- 12 Free (as in beer) Data Mining Books

### R Tutorials

- Twotorials by Anthony Damico (learning new tricks from short 2-min videos)
- Revolution Analytics Free Webinars
- ggplot2 Graphics Cheat Sheet
- 10 tips for making your R graphics look their best
- Making Maps with R
- Compiling R 3.0.1 with MKL support
- Flowing Data - Tutorials
- Quick-R
- R-Uni (A List of Free R Tutorials and Resources in University Webpages)

### Interesting Blogs and Articles

- R-bloggers
- Statistics Blogs
- Whizage by Thia Kai Xin
- R Resources by Vivek Patil
- 100 most read R posts in 2012
- "R" you ready?
- The Angry Statistician
- VizWiz - Data Visualization Done Right
- FastML - Machine learning made easy
- ggplot2 Blog
- Spatial.ly - Visualisation, Analysis and Resources
- Vistat - a reproducible gallery of statistical graphics
- The Shape of Data
- Animated Graph for Data People
- is.R()
- 60+ R resources to improve your data skills

### Useful R Packages

- Ten R packages I wish I knew about earlier (Before you do anything, read this blog post first!!)
- caret (short for Classification And REgression Training) for a simple way to train and fine-tune model using different algorithms
- ff and bigmemory - two packages to solve memory issues with big datasets
- quantmod for financial modelling
- foreach and doSNOW for parallel computing in R

### Interactive Development Environment

- RStudio - a really nice IDE for R
- RStudio Server Amazon Machine Image by Louis Aslett (Wanna run RStudio on Amazon EC2? Try this!)

### Other Useful Tips

### Data

- UC Irvine Machine Learning Repository
- Time Series Data Library created by Rob Hyndman
- Quandl (like a Wikipedia for Time Series Data)

Author William

LastMod 2015-11-26