4090 search results for "git"

Visualize Color Palettes in Interactive 3D Grid (Shiny + RGL)

January 12, 2013
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Visualize Color Palettes in Interactive 3D Grid (Shiny + RGL)

You can view the application online at http://trestletechnology.net:3838/rgl/! (Bear with us as we try out the very early release of Shiny Server. There may be some downtime and manual restarts of the service required in the next couple of weeks. Please drop us a line if it’s not working as you expected.) This is an

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Heat maps using R

January 12, 2013
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Heat maps using R

One of the great things about following blogs on R is seeing what others are doing & being able to replicate and try out things on my own data sets. For example, some great links on rapidly creating heat maps using R. Drawing Heat Maps in R How to Make a Heatmap – a Quick

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Examples of Current Major Market Clusters

January 11, 2013
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Examples of Current Major Market Clusters

I want to follow up and provide a bit more details to the excellent “A Visual of Current Major Market Clusters” post by David Varadi. Let’s first load historical for the 10 major asset classes: Gold ( GLD ) US Dollar ( UUP ) S&P500 ( SPY ) Nasdaq100 ( QQQ ) Small Cap (

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Slopegraphs in R

January 11, 2013
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Slopegraphs in R

I updated the code to use ggsave and tweaked some of the font & line size values for more consistent (and pretty) output. This also means that I really need to get this up on github. If you even remotely follow this blog, you’ll see that I’m kinda obsessed with slopegraphs. While I’m pretty happy

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(not provided): Using R and the Google Analytics API

January 11, 2013
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(not provided): Using R and the Google Analytics API

For power users of Google Analytics, there is a heavy dose of spreadsheet work that accompanies any decent analysis.  But even with Excel in tow, it’s often difficult to get the data just right without resorting to formula hacks and manual table formatting.  This is where the Google Analytics API and R can come very (not provided): Using...

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Shiny = Happy People

January 11, 2013
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The people behind the wonderful RStudio, which I gushed about in a previous post, have developed a new package, Shiny, that makes it easy to develop interactive web applications with R. Shiny is not the first package to facilitate building web apps with R (see here for comparison of Shiny and gWidgetsWWW2.rapache), but it is

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Adding Comments to CSV Files

January 11, 2013
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Various of my R scripts produce csv files as output. For instance, I run a lengthy SVM back test, the end result is a csv file containing the indicator with some additional information. The problem is that over time one loses track what exactly the file contained and what parameters were used to produce it.

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Shiny Apps

January 11, 2013
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Shiny Apps

I have been working on developing some interactive tools for demonstrating statistical principles. The advent of the shiny framework for R from the RStudio team has made this very easy to do. These demos are still in the development...

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DC R Meetup: “Analyze US Government Survey Data with R”

January 10, 2013
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DC R Meetup: “Analyze US Government Survey Data with R”

I really enjoyed tonight’s DC R Meetup, presented by the prolific Anthony Damico. I’ve met Anthony before to discuss whether the Census Bureau could either… publish R-readable … Continue reading →

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Webinar Jan 24: Using R with Hadoop

January 10, 2013
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In two weeks (on January 24), Think Big Analytics' Jeffrey Breen will present a new webinar on using R with Hadoop. Here's the webinar description: R and Hadoop are changing the way organizations manage and utilize big data. Think Big Analytics and Revolution Analytics are helping clients plan, build, test and implement innovative solutions based on the two technologies...

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