1002 search results for "rstudio"

Package-Wide Variables/Cache in R Packages

April 8, 2013
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It’s often beneficial to have a variable shared between all the functions in an R package. One obvious example would be the maintenance of a package-wide cache for all of your functions. I’ve encountered this situation multiple times and always forget at least one important step in the process, so I thought I’d document it

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Instructions for Installing & Using R on Amazon EC2

April 8, 2013
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If you’re an R user, you’ve surely heard all the hype around ‘big data’ and how R is commonly used to analyze these volumes of data. One thing that’s often missing from the discussion is HOW to work around issues using big data and R, specifically how to deal with the fact that R stores Instructions for Installing...

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Visualize large data sets with the bigvis package

April 8, 2013
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Visualize large data sets with the bigvis package

Creating visualizations of large data sets is a tough problem: with a limited number of pixels available on the screen (or just with the limited visual acuity of the human eye), massive numbers of symbols on the page can easily result in an uninterpretable mess. On Friday we shared one way of tackling the problem using Revolution R Enterprise:...

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Next Kölner R User Meeting: 12 April 2013

April 8, 2013
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Next Kölner R User Meeting: 12 April 2013

Quick reminder: The next Cologne R user group meeting is scheduled for this Friday, 12 April 2013. We will discuss cluster analysis and shiny. Further details and the agenda are available on our KölnRUG Meetup site. Please sign up if you would like to come along. Notes from the last Cologne R user group meeting are...

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Retirement : simulating wealth with random returns, inflation and withdrawals – Shiny web application

April 6, 2013
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Retirement : simulating wealth with random returns, inflation and withdrawals – Shiny web application

Today, I want to share the Retirement : simulating wealth with random returns, inflation and withdrawals – Shiny web application (code at GitHub). This application was developed and contributed by Pierre Chretien, I only made minor updates. This is application is a great example of how easy it is to convert your R script into

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Demographic analysis using the `popbio` library and some other fun stuff

April 4, 2013
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Demographic analysis using the `popbio` library and some other fun stuff

This week at the Davis R Users’ Group we had a great presentation by Kara Moore O’Leary on using the popbio package to examine rare plant demographics. The following is her script run through knitr. You can download the original script and associated data here. Find out more about Kara and her work at...

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Interactive visualization of survival curves with Shiny

April 3, 2013
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Interactive visualization of survival curves with Shiny

We have a growing interest in using our favorite tools (R and Mathematica) to build web interfaces to interactively explore and visualize data. Our last 5 posts have involved interactive tools, namely Mathematica’s computable document format and R’s new Shiny package. There is a new kid on the block for interactive visualization tools in R,

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R 3.0.0 is released! (what’s new, and how to upgrade)

April 3, 2013
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R 3.0.0 is released! (what’s new, and how to upgrade)

A few hours ago Peter Dalgaard (of R Core Team) announced the release of R 3.0.0!  Bellow you can read the changes in this release. One of the features worth noticing is the introduction of long vectors to R 3.0.0. As David Smith …Read more »

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Automated Re-Install of Packages for R 3.0

April 3, 2013
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With the big release of R 3.0 today comes an unfortunate side effect of needing to re-install all of your packages. Luckily, R provides a pretty easy method of getting all of your packages into a list for automated re-install.  Here’s how to do it for OSX users with a default install to the Library: Automated Re-Install of...

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Splitting a Large CSV File into Separate Smaller Files Based on Values Within a Specific Column

April 3, 2013
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Splitting a Large CSV File into Separate Smaller Files Based on Values Within a Specific Column

One of the problems with working with data files containing tens of thousands (or more) rows is that they can become unwieldy, if not impossible, to use with “everyday” desktop tools. When I was Revisiting MPs’ Expenses, the expenses data I downloaded from IPSA (the Independent Parliamentary Standards Authority) came in one large CSV file

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