Monthly Archives: May 2013

Stepping up to Big Data with R and Python: A Mind Map of All the Packages You Will Ever Need

May 29, 2013
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Stepping up to Big Data with R and Python: A Mind Map of All the Packages You Will Ever Need

On May 8, we kicked off the transformation of R Users DC to Statistical Programming DC   (SPDC) with a meetup at iStrategyLabs in Dupont Circle. The meetup, titled "Stepping up to big data with R and Python," was an experiment in collective learning as Marck and I guided a lively discussion...

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Item Analysis App – Shiny Code

May 28, 2013
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Item Analysis App – Shiny Code

Here is the code for my first Shiny App! It is the one that I posted previously with a few slight revisions. You can see it at:A Shiny R AppIn order to make any sense of this I suggest you working through the tutorial (http://www.rstudio.com/shiny/) it...

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Will Mu Go Out With Median

May 28, 2013
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Will Mu Go Out With Median

True story (no really, this did actually happen).  While in grad school one of the other teaching assistants was approached by one of the students and was asked “will mu go out with median?”  The teaching assistant thought the play on words was pretty funny, laughed, and then cluelessly walked away.  All of us other grad students

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Parallel Processing: When does it worth?

May 28, 2013
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Parallel Processing: When does it worth?

Parallel computing is incredibly useful, but not every thing worths distribute across as many cores as possible. Most computers nowadays have few cores that incredibly help us with our daily computing duties. However, when statistical softwares do use parallelization for analyzing data faster? R, my preferred analytical package, does not take too much advantage of multicore processing...

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Parallel Processing: When does it worth?

May 28, 2013
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Parallel Processing: When does it worth?

Most computers nowadays have few cores that incredibly help us with our daily computing duties. However, when statistical softwares do use parallelization for analyzing data faster? R, my preferred analytical package, does not take too much advantage of multicore processing by default. In fact, R has been inherently a “single-processor” package until nowadays. Stata, another decent...

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Companies using Open Source R in 2013

May 28, 2013
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A recent quora post asked an interesting question: What interesting companies, open source projects are using R in 2013? Since we've been tracking applications of R here on the blog for a while now, I listed just some of the most recent examples: The New York Times routinely uses R for interactive and print data visualization. Google has more...

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Why doesn’t R have a MaxDiff package?

May 28, 2013
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Almost once every year someone asks if R has a package for running the MaxDiff procedure sold by Sawtooth.  One such inquiry recently received a reply with a link showing in some detail the R code needed to generate a balanced incomplete...

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Intended or Unintended Consequences

May 28, 2013
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Intended or Unintended Consequences

(This article was first published on Timely Portfolio, and kindly contributed to R-bloggers) A quick glimpse at the US 10y Treasury Bond rate since 2000 seems benign with low volatility and a general downward trend. require(latticeExtra)require(quantmod)US10y <- getSymbols("^TNX", from = "2000-01-01", auto.assign = FALSE)asTheEconomist(xyplot(US10y, scales = list(y = list(rot = 1)), main = "US 10y Yield Since 2000"))...

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Using R to communicate via a socket connection

May 28, 2013
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Occasionally, the need arises to communicate with R via another process. There are packages available to facilitate this communication, but for simple problems, a socket connection may be the answer. Nearly all software languages have a socket communic...

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Converting Existing R Scripts to ORE – Getting Started

May 28, 2013
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Converting Existing R Scripts to ORE – Getting Started

Normal 0 false false false EN-US X-NONE X-NONE ...

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