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R by example

R by example
Basics Reading files Graphs Probability and statistics Regression Time-series analysis All these examples in one tarfile. Outright non-working code is unlikely, though occasionally my fingers fumble or code-rot occurs. Other useful materials Suggestions for learning R The R project is at : In particular, see the `other docs' there. Over and above the strong set of functions that you get in `off the shelf' R, there is a concept like CPAN (of the perl world) or CTAN (of the tex world), where there is a large, well-organised collection of 3rd party software, written by people all over the world. The dynamism of R and of the surrounding 3rd party packages has thrown up the need for a newsletter, R News. library(help=boot) library(boot) ? But you will learn a lot more by reading the article Resampling Methods in R: The boot package by Angelo J. Ajay Shah, 2005

http://www.mayin.org/ajayshah/KB/R/index.html

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How to Think Like a Computer Scientist Learning with Python by Allen Downey, Jeff Elkner and Chris Meyers. This book is now available for sale at Lulu.com. Hardcopies are no longer available from Green Tea Press. How to Think... is an introduction to programming using Python, one of the best languages for beginners. How to Think... is a Free Book available under the GNU Free Documentation License. Statistics with R Warning Here are the notes I took while discovering and using the statistical environment R. However, I do not claim any competence in the domains I tackle: I hope you will find those notes useful, but keep you eyes open -- errors and bad advice are still lurking in those pages... Should you want it, I have prepared a quick-and-dirty PDF version of this document. The old, French version is still available, in HTML or as a single file.

The R programming language for programmers coming from other programming languages IntroductionAssignment and underscoreVariable name gotchasVectorsSequencesTypesBoolean operatorsListsMatricesMissing values and NaNsCommentsFunctionsScopeMisc.Other resources Ukrainian translation Other languages: Powered by How to Install an R Package Longhai Li, Department of Mathematics and Statistics, University of Saskatchewan I occacionally publish R add-on packages for others to implement and test the statistical methodoglogies I discuss in my papers. R is a free software environment for statistical computing and graphics, available from The following is a brief instruction of installing R packages. More details can be found by typing ?INSTALL in R console. Install a new package to your computer

git - the simple guide - no deep shit! git - the simple guide just a simple guide for getting started with git. no deep shit ;) by Roger Dudler credits to @tfnico, @fhd and Namics this guide in deutsch, español, français, indonesian, italiano, nederlands, polski, português, русский, türkçe, မြန်မာ, 日本語, 中文, 한국어 Vietnamese please report issues on github setup Download git for OSX Download git for Windows

Bruce Eckel's MindView, Inc: Thinking in Python You can download the current version of Thinking in Python here. This includes the BackTalk comment collection system that I built in Zope. The page describing this project is here. The current version of the book is 0.1.

R Tutorial — R Tutorial 321a Boyd Graduate Studies University of Georgia Athens, Georgia 30602 Introductory Materials¶ These materials are designed to offer an introduction to the use of R. It is not exhaustive, but is designed to just provide the basics. R Tutorial: Basic Probability We look at some of the basic operations associated with probability distributions. There are a large number of probability distributions available, but we only look at a few. If you would like to know what distributions are available you can do a search using the command help.search(“distribution”). Here we give details about the commands associated with the normal distribution and briefly mention the commands for other distributions. The functions for different distributions are very similar where the differences are noted below.

FAQ This is the FAQ, currently under construction. Package Installation biocLite warns that a package is not available Most Bioconductor packages are available for Windows, Mac OS, and Linux operating systems. Java Programming Cheatsheet This appendix summarizes the most commonly-used Java language features in the textbook. Here are the APIs of the most common libraries. Hello, World. Python for Fun This collection is a presentation of several small Python programs. They are aimed at intermediate programmers; people who have studied Python and are fairly comfortable with basic recursion and object oriented techniques. Each program is very short, never more than a couple of pages and accompanied with a write-up. I have found Python to be an excellent language to express algorithms clearly.

The R language, for programmers IntroductionAssignment and underscoreVariable name gotchasVectorsSequencesTypesBoolean operatorsListsMatricesMissing values and NaNsCommentsFunctionsScopeMisc.Other resources Introduction I have written software professionally in perhaps a dozen programming languages, and the hardest language for me to learn has been R. The language is actually fairly simple, but it is unconventional. These notes are intended to make the language easier to learn for someone used to more commonly used languages such as C++, Java, Perl, etc. R is more than a programming language. How I install a R package? How I install a R package? Dear R users: as you have probably experienced, many of the times that we think a new R package is going to save our life, it ends up just frustrating us. In the meanwhile, we have asked Angel or Edu to install such a promising package, wasting their time (and ours) in vain and waiting for what would be useless. A way to improve the work flow and accelerate the test of new packages is to install first the package locally. And then, if worthwhile, ask for the system installation.

Jekyll Quick Start Host on GitHub in 3 Minutes Make sure to input your GitHub username so the instructions reflect the exact code you need to run to host your blog. 1.

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