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Impatient R

Impatient R
Translations français: Translated by Kate Bondareva. Serbo-Croatian: Translated by Jovana Milutinovich from Geeks Education. Preface This is a tutorial (previously known as “Some hints for the R beginner”) for beginning to learn the R programming language. It is a tree of pages — move through the pages in whatever way best suits your style of learning. You are probably impatient to learn R — most people are. This page has several sections, they can be put into the four categories: General, Objects, Actions, Help. General Introduction Blank screen syndrome Misconceptions because of a previous language Helpful computer environments R vocabulary Epilogue Objects Key objects Reading data into R Seeing objects Saving objects Magic functions, magic objects Some file types Packages Actions What happens at R startup Key actions Errors and such Graphics Vectorization Make mistakes on purpose Help Introduction I asked R users what their biggest stumbling blocks were in learning R. > q() or

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Some hints for the R beginner Some hints for the R beginner Learning R “Impatient R” provides a brief grounding in the basics of using R. Beginner’s Guide to R from Computerworld. Try R is a fun way of learning some R. Translating between R and SQL: the basics An introductory comparison of using the two languages. Background R was made especially for data analysis and graphics. SQL was made especially for databases. They are allies.

R Beginner's Guide and R Bloggers Updates 1/1/2011 Update: Tal Galili wrote an article that revisits the first year of R-Bloggers and this post was listed as one of the top 14. Therefore, I decided to make a small update to each section. I start by describing the initial series of tutorials that I wrote. A few more have been added since and even more planned in the upcoming year. As always, an up to date listing of my articles can be found on the R Tutorial Series blog. What You're Doing Is Rather Desperat At any R Q&A site, you’ll frequently see an exchange like this one: Q: How can I use a loop to [...insert task here...] ? A: Don’t. Use one of the apply functions. So, what are these wondrous apply functions and how do they work?

Why R R (see also here) is a free language and environment for statistical computing and graphics. It is superior to other graphics/analysis packages commonly used in Astronomy, e.g. supermongo, pgplot, gnuplot, and features a very wide range of statistical analysis and data plotting functions. Furthermore, R is already the most popular amongst the leading software for statistical analysis, as measured by a variety of indicators, and is rapidly growing in influence. R is really important to the point that it’s hard to overvalue it. It allows statisticians to do very intricate and complicated analyses without knowing the blood and guts of computing systems. Google research scientist, quoted in the New York Times

Getting Genetics Done: Use SQL queries to manipulate data frames in R with sqldf package I've covered a few topics in the past including the plyr package, which is kind of like "GROUP BY" for R, and the merge function for merging datasets. I only recently found the sqldf package for R, and it's already one of the most useful packages I've ever installed. The main function in the package is sqldf(), which takes a quoted string as an argument. You can treat data frames as tables as if they were in a relational database. 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

Rtips. Revival 2012! Paul E. Johnson <pauljohn @ ku.edu> The original Rtips started in 1999. Microsoft R Open: The Enhanced R Distribution · MRAN Skip to main content Microsoft R Open: The Enhanced R Distribution Microsoft R Open, formerly known as Revolution R Open (RRO), is the enhanced distribution of R from Microsoft Corporation. It is a complete open source platform for statistical analysis and data science. The current version, Microsoft R Open 3.2.5, is based on (and 100% compatible with) R-3.2.5, the most widely used statistics software in the world, and is therefore fully compatibility with all packages, scripts and applications that work with that version of R. It includes additional capabilities for improved performance, reproducibility, as well as support for Windows and Linux-based platforms.

Business Intelligence and Agile Development: Statistical Analysis with R and Microsoft SQL Server 2012 It’s been awhile since I’ve written a blog post, but that doesn’t mean that I haven’t been thinking about things to write about and discuss here. Recently, I had the opportunity to attend an alpha delivery of EMCs “Data Science and Big Data Analytics” course (Read about the course on EMC Education Services site here: ) and was really taken by a couple of points that the course brought home: 1) There’s much more to statistical analysis than I had ever thought about. (Being a Microsoft SQL Server and Microsoft BI Stack kinda guy, I always figured that you needed Excel and SSAS to do real statistical analysis. 2) Big Data Analytics is a really cool technology discipline!

R Programming - Manuals R Basics The R & BioConductor manual provides a general introduction to the usage of the R environment and its basic command syntax. Code Editors for R How to update your Wordpress.com blog from R I have become a complete knitr addict of late and have been using it in combination with RStudio’s R markdown support on a regular basis. In fact I wrote this post using it! It then dawned on me how great it would be if I could upload the post directly from R/RStudio. It turned out that wasn’t too hard at all. Here’s how. Announcing R Tools for Visual Studio This post is by Shahrokh Mortazavi, Partner Director of Program Management in the Data Group at Microsoft. I am delighted to announce that Visual Studio now speaks another language: R! R is decidedly the most popular statistical/data analysis language in use today. R Tools for Visual Studio brings together the power of R and Visual Studio in a convenient and easy to use plug-in that’s free and Open Source. When combined with Visual Studio Community Edition, you get a multi-lingual IDE that is perpetually free (for small teams). Today we’re releasing this as a public preview for evaluation and testing by developers.

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