4496 search results for "git"

gridSVG Multi-line Data Bind with d3–US Treasury Yields

August 14, 2013
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gridSVG Multi-line Data Bind with d3–US Treasury Yields

If you have not read the other posts on gridSVG and d3, I recommend reading those before progressing to this one. Facets or strips are one of my favorite features of lattice and ggplot2, so of course I want to extend our d3 reverse data bind to support these small multiples.  Let’s see one way of accomplishing...

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How do I re-arrange??: Ordering a plot revisited

August 14, 2013
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How do I re-arrange??: Ordering a plot revisited

Back in October of last year I wrote a blog post about reordering/rearanging plots. This was, and continues to be, a frequent question on list serves and R help sites. In light of my recent studies/presenting on The Mechanics of … Continue reading →

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Multi-threaded OpenBLAS backported to recent Ubuntu releases

August 13, 2013
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OpenBLAS is a multi-threaded BLAS library that has been available in Ubuntu for a while, minus the multi-threading. This has been fixed for the OpenBLAS package to be released in Saucy Salamander, and I have backported the package to the more recent r...

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Visualizing Katrina’s strongest winds, with R

August 13, 2013
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Visualizing Katrina’s strongest winds, with R

Here's a new picture of the devastation wrought by Katrina in 2005. This image shows the maximum wind speeds of the hurricane, not at any particular point of time, but over the duration of the entire storm: The data come from NOAA's H*Wind project, which makes windspeed data from sensors on the ground and floating in the ocean available...

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Temporal visualization of records of IndianMoths project using bdvis

August 13, 2013
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Temporal visualization of records of IndianMoths project using bdvis

I was looking for some data set which has some bias in terms of temporal data. I thought of checking out the data from iNaturalist project IndianMoths. This project is aimed at documenting moths from India. This project was initiated in July 2012 but really caught steam in January 2013, with members contributing regularly, minimum

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Temporal visualization of records of IndianMoths project using bdvis

August 13, 2013
By
Temporal visualization of records of IndianMoths project using bdvis

I was looking for some data set which has some bias in terms of temporal data. I thought of checking out the data from iNaturalist project IndianMoths. This project is aimed at documenting moths from India. This project was initiated in July 2012 but really caught steam in January 2013, with members contributing regularly, minimum

Read more »

Reverse IP Address Lookups With R (From Simple To Bulk/Asynchronous)

August 12, 2013
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R lacks some of the more “utilitarian” features found in other scripting languages that were/are more geared—at least initially—towards systems administration. One of the most frustrating missing pieces for security data scientists is the lack of ability to perform basic IP address manipulations, including reverse DNS resolution (even though it has nsl() which is just

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A Stata HTML syntax highlighter in R

August 12, 2013
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So I have been having difficulty getting my Stata code to look the way I want it to look when I post it to my blog.  To alleviate this condition I have written a html encoder in R.  I don't know much about html so it is likely to be a little ...

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Short tales of two NCAA basketball conferences (Big 12 and West Coast) using graphs

August 12, 2013
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Short tales of two NCAA basketball conferences (Big 12 and West Coast) using graphs

Having been at the University of Kansas (Kansas Jayhawks) as a student and now working at Gonzaga University (Gonzaga Bulldogs), discussions about college basketball are inescapable. This post uses R, ggmap, ggplot2 and the shiny server to graphically ...

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Variable importance in neural networks

August 12, 2013
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Variable importance in neural networks

If you’re a regular reader of my blog you’ll know that I’ve spent some time dabbling with neural networks. As I explained here, I’ve used neural networks in my own research to develop inference into causation. Neural networks fall under two general categories that describe their intended use. Supervised neural networks (e.g., multilayer feed-forward networks)

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