1961 search results for "Twitter"

In case you missed it: March Roundup

April 13, 2010
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In case you missed them, here are some articles from last month of particular interest to R users. We reviewed a special report in The Economist on the "Data Deluge" and the growing importance of statistical analysis in business. One section mentioned R specifically. We announced that Zack Urlocker, formerly responsible for engineering and marketing for the open-source database...

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Cherry Picking to Generalize ~ NASA Global Temperature Trends ~ enhanced w/ ggplot2

April 12, 2010
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Cherry Picking to Generalize ~ NASA Global Temperature Trends ~ enhanced w/ ggplot2

In a prior article, I tried to visualize the linear global temperatures trends for a grid of start and end years. The visual I created was confusing in that the specification of color scale was interdependent with the data values. I wanted a blue -> white -> red scale of the temperatures indicating cool ->

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New version of R package futile released

April 6, 2010
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New version of R package futile released

The latest version of futile was released to CRAN yesterday. This release broke out the various functions into self-contained sub-packages …Continue reading »

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Cherry Picking to Generalize ~ NASA Global Temperature Trends

April 6, 2010
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Cherry Picking to Generalize ~ NASA Global Temperature Trends

The relatively (to this decade) cool 2008 global temperatures spurred talks of a warming pause, or even global cooling. The claim usually comes from people who cherry picked either data sets and(!)/or start and end points of the global temperature trends to back up their allegation. The blogosphere already has a lot on this: Skeptical

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R on the iPhone

April 5, 2010
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R Twitterer ech0chrome reports that (s)he has successfully installed R on an iPhone. I haven't tried it myself, since it requires jailbreaking the iPhone, but full instructions have been posted to the R Wiki. It seems that once you have Debian installed on the iPhone, it's simply a matter of installing the required Debian packages. Seems like a neat...

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R-Node: a web front-end to R with Protovis

April 3, 2010
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R-Node: a web front-end to R with Protovis

Update (April 6 – 2010) : R-Node now has it’s own a website, with a dedicated google group (you can join it here) * * * * The integration of R into online web services is (for me) one of the more exciting prospects in R’s future. That is way I was very excited coming across Jamie...

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A free book on Geostatistical Mapping with R

April 2, 2010
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A free book on Geostatistical Mapping with R

Tomislav Hengl of the University of Amsterdam has published new book, A Practical Guide to Geostatistical Mapping. It's jam-packed with 291 pages on mapping and analyzing spatial data using free software including R, SAGA, GRASS, ILWIS and Google Earth, and freely-available map data. The book itself is also available for free, as an Open Access Publication. You can order...

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How to Produce Fake Data Analysis in R: 3 Easy Steps

April 2, 2010
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How to Produce Fake Data Analysis in R: 3 Easy Steps

Did you really think that a team of researchers spent their weekends counting the number of shirtless adolescent men and exposed penises they could find on charoulette.com? Perhaps you should not answer that, as it may be a better measure of your opinion of sociologist than gullibility. It is true, sociologist do say the

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How ideological is Google?

March 31, 2010
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How ideological is Google?

Adam Bonica, a grad student in political science at NYU, recently published a ranking of the political slant of various professions, based on the amount and recipient (Republican or Democratic) of political donations by lawyers, lobbyists, physicians and many other occupations. This paper (PDF) gives the complete analysis, but the chart below (created using the ggplot2 graphics package in...

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BioMart (and biomaRt)

March 26, 2010
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BioMart (and biomaRt)

I’ve been vaguely aware of BioMart for a few years. Inexplicably, I’ve only recently started to use it. It’s one of the most useful applications I’ve ever used. The concept is simple. You have a set of identifiers that describe a biological object, such as a gene. These are called filters. They have values –

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