Guide to Speeding Up R Code This is an overview of tools for speeding up your R code that I wrote for the Davis R Users’ Group. First, Ask “Why?” It’s customary to quote Donald Knuth at this point, but instead I’ll quote my twitter buddy Ted Hart to illustrate a point: I’m just going to say it.I like for loops in #Rstats, makes my code readable.All you [a-z]*ply snobs can shove it! R: Retrieving information from google using the RCurl package « "R" you ready? R: Retrieving information from google using the RCurl package 01Jan09 Lately I read the article Automatic Meaning Discovery Using Google by Cilibras and VitanyiIt which introduces the normalized google distance (NGD) as a measure of semantic relatedness of two search terms. As its basis for calculation the NGD uses simple google search result counts. Now I want to figure out how to impelement this calculation using R.
Matlab Matlab is a tool for doing numerical computations with matrices and vectors. It can also display information graphically. The best way to learn what Matlab can do is to work through some examples at the computer. After reading the " getting started " section, you can use the tutorial below for this. Getting started Here is a sample session with Matlab. Building an R Hadoop System - RDataMining.com: R and Data Mining This page shows how to build an R Hadoop system, and presents the steps to set up my first R Hadoop system in single-node mode on Mac OS X. After reading documents and tutorials on MapReduce and Hadoop and playing with RHadoop for about 2 weeks, finally I have built my first R Hadoop system and successfully run some R examples on it. Here I’d like to share my experience and steps to achieve that. Hopefully it will make it easier to try RHadoop for R users who are new to Hadoop. Note that I tried this on Mac only and some steps might be different for Windows. Before going through the complex steps below, let’s have a look what you can get, to give you a motivation to continue.
How to use R R is a powerful, free and open source, cross-platform, statistical and graphing software package;programming language;software environment for statistical computing. Downloading R[edit] The Guerilla Guide to R Update: Okay. I’ve uploaded a new template and things seem to be fine now. Update: I am aware the table of contents is not being displayed in bullet form as I intended. The web template I’m using seems to be buggy. RStudio in the cloud, for dummies You can have your own cloud computing version of R, complete with RStudio. Why should you? It's cool! It's the effect size, stupid: what effect size is and why it is important It's the Effect Size, StupidWhat effect size is and why it is important Robert CoeSchool of Education, University of Durham, email r.j.coe@dur.ac.uk Paper presented at the Annual Conference of the British Educational Research Association, University of Exeter, England, 12-14 September 2002 Abstract Effect size is a simple way of quantifying the difference between two groups that has many advantages over the use of tests of statistical significance alone.
RStudio Server Amazon Machine Image (AMI) - Louis Aslett Current AMI Quick Reference (27nd Jun 2015)Amazon instance type reference Click to launch through AWS web interface: What’s new recently? Easy Dropbox setup to make syncing files on/off server easy, including selective folder sync. Preinstalled RStudioAMI R package for server control.
R by example Basics Reading files Graphs Probability and statistics Regression Google Dev R Video Lectures I got this Google Developers R Programming Video Lectures from Stephen's blog - Getting Genetics Done. Very useful R tutorial for beginner! Short and efficient. Here is what I learned after watching the lectures: stop() and warning() function I was asked this question during a job interview. stop('message') will print out the error message and stop the function. warning('message') will print out the error message but continue the function. HyperStat Online: An Introductory Statistics Textbook and Online Tutorial for Help in Statistics Courses Recommend HyperStat to your friends on Facebook Click here for more cartoons by Ben Shabad. Other Sources Stat Primer by Bud Gerstman of San Jose State University Statistical forecasting notes by Robert Nau of Duke University related: RegressIt Excel add-in by Robert Nau