Monthly Archives: April 2012

An intro to R

April 5, 2012
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An intro to R

A few weeks back I gave a talk at the local Berkeley R meetup group. The idea was to help people not make the same mistakes I made when I first started out learning R. It was the first time I made an entire presentation with Deck.js and I generated the syntax highlighted R code

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Use file.choose to customize output filenames in R functions

April 5, 2012
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In this post, I want to address the following issue: several data files with a common trame have to be dealt with by an R function. The function should export files (such as images or data files or any other file type). I explain how to create filenames such that the function automatically exports files in the same directory...

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useR! 2012 Deadlines Approaching: Registration, Hotels, Student Scholarships

April 5, 2012
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useR! 2012 Deadlines Approaching: Registration, Hotels,  Student Scholarships

Forwarded from Frank Harrell: DEADLINES FAST APPROACHING – 8th Annual International R User Conference useR! 2012, Nashville, Tennessee USA Registration Deadlines: Early Registration: Passed Regular Registration: Mar 1- May 12 Late Registration: May 13 – June 4 On-Site Registration: June 12 – June 15 Please note: Nashville is offering several large entertainment events the month

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Gaussian process regression with R

April 5, 2012
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Gaussian process regression with R

I’m currently working my way through Rasmussen and Williams’s book on Gaussian processes. It’s another one of those topics that seems to crop up a lot these days, particularly around control strategies for energy systems, and thought I should be able to at...

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Basics of Working With Data in R

April 5, 2012
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(This article was first published on R Video Tutorials - Stats Make Me Cry, and kindly contributed to R-bloggers) To leave a comment for the author, please follow the link and comment on their blog: R Video Tutorials - Stats Make Me Cry. R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science,...

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Basics of Working With Data in R

April 5, 2012
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Where hiding if you don’t want to get wet ?

April 5, 2012
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Where hiding if you don’t want to get wet ?

Following the previous post, two additional remarks. Following a comment by @cosi, I have investigated quickly a binomial fit to the distribution of the number of people not getting wet, with a fixed number of players on the field. It looks like it...

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Melt

April 5, 2012
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There are many situations where data is presented in a format that is not ready to dive straight to exploratory data analysis or to use a desired statistical method. The reshape2 package for R provides useful functionality to avoid having to hack data around in a spreadsheet prior to import into R. The melt function

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A Little Web Scraping Exercise with XML-Package

April 5, 2012
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Some months ago I posted an example of how to get the links of the contributing blogs on the R-Blogger site. I used readLines() and did some string processing using regular expressions.With package XML this can be drastically shortened - see this:# get...

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R Structure Explained

April 4, 2012
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This post by Suraj Gupta explains it all. This is the first time I have seen a  concise and accessible explanation of the R environment structure and why it matters.   Addendum: This one by Digithead is also pretty good

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