29 search results for "sandy"

‘Sandy’ Code Up On Github

October 29, 2012
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‘Sandy’ Code Up On Github

UPDATE: As indicated in the code comments, Google took down the cone KML files. I’ll be changing the code to use the NHC archived cone files later tonight I will (most likely) not be littering the blog with any more updates to the ‘Sandy’ code unless they are really significant. You can follow along at

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Watch Sandy in “R” (Including Forecast Cone)

October 28, 2012
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Watch Sandy in “R” (Including Forecast Cone)

As indicated in the code comments, Google took down the cone KML files. I’ll be changing the code to use the NHC archived cone files later tonight NOTE: There is significantly updated code on github for the Sandy ‘R’ dataviz. This is a follow-up post to the quickly crafted Watch Sandy in “R” post last

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Watch “Sandy” In R

October 27, 2012
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Watch “Sandy” In R

UPDATE: Significantly updated code on githubWell, a couple folks asked how to make it more “centered” on the hurricane and stop the labels from chopping off, so I modified the previous code a bit to show how to do that. As indicated in the code comments, Google took down the cone KML files. I’ll be

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Soda vs. Pop with Twitter

July 6, 2012
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Soda vs. Pop with Twitter

One of the great things about Twitter is that it’s a global conversation anyone can join anytime. Eavesdropping on the world, what what!

Of course, it gets even better when you can mine all this chatter to study the way humans live and interact.

For example, how do people in New York City differ from those in Silicon Valley? We...

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Estimation of hydraulic conductivity and its uncertainty from grain-size data using GLUE and artificial neural networks.

June 13, 2012
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Estimation of hydraulic conductivity and its uncertainty from grain-size data using GLUE and artificial neural networks.

Abstract
Various approaches exist to relate saturated hydraulic conductivity (Ks) to grain-size data. Most methods use a single grain-size parameter and hence omit the information encompassed by the entire grain-size distribution. This study compares two data-driven modelling methods—multiple linear regression and artificial neural networks—that use the entire grain-size distribution data as input for Kprediction. Besides the predictive capacity of the methods,...

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New R User Groups in Austin, Adelaide

February 3, 2012
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It's awesome to see so many local R user groups kicking off in 2011! Yet another is the Austin R User Group in Austin, Texas. They've already held their first informal get-together, and the first formal meeting on February 23 will be devoted to data management techniques in R. Props to Sandy Donlon for organizing the group! And I'm...

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This One’s Personal: Sanford Koufax vs. Randy Johnson…pffft

November 15, 2011
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This One’s Personal: Sanford Koufax vs. Randy Johnson…pffft

I couldn’t let this one go. The conclusion draw here by this author that Randy Johnson was “the best pitcher of all time” was not something I could allow to slip through the cracks. Johnson was awesome. Incredible to watch. … Continue reading

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R workshop in Hamilton, Ontario, May 24 and 25

April 25, 2011
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John Fox will be teaching a two-day introductory R workshop at McMaster University in Hamilton, Ontario, on May 24 and 25. The workshop will largely be based on materials from Fox and Weisberg, An R Companion to Applied Regression, Second Edition (Sage, 2011). Further information about the workshop is available at: https://www.socialsciences.mcmaster.ca/registrations/john-fox-introduction-to-r/fg_base_view_p3. A few spaces in the workshop are reserved for non-McMaster attendees and made...

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New edition of “R Companion to Applied Regression” – by John Fox and Sandy Weisberg

December 10, 2010
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New edition of “R Companion to Applied Regression” – by John Fox and Sandy Weisberg

Just two hours ago, Professor John Fox has announced on the R-help mailing list of a new (second) edition to his book “An R and S Plus Companion to Applied Regression”, now title . “An R Companion to Applied Regression, Second Edition”. John Fox is (very) well known in the R community for many contributions to R, including the...

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