1987 search results for "RSTUDIO"

d3/R Chord Diagram of White House Petition Data

April 7, 2016
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d3/R Chord Diagram of White House Petition Data

The OpenData movement has the White House producing and releasing some novel datasets. One of them is the We The People petition site. I learned about this from Proofreader.com’s interesting python work using that data. From the petition site, you can see an interesting gallery of work done in different language and for different...

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How long could it take to run a regression

April 6, 2016
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How long could it take to run a regression

This afternoon, while I was discussing with Montserrat (aka @mguillen_estany) we were wondering how long it might take to run a regression model. More specifically, how long it might take if we use a Bayesian approach. My guess was that the time should probably be linear in , the number of observations. But I thought I would be good to check. Let...

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Answers to FAQ about SparkR for R users

April 5, 2016
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Answers to FAQ about SparkR for R users

Many people keep asking me whether I have tried SparkR, is it worth using, is it sexy or WHAT is it at all. I felt that creating frequently asked questions (FAQ) in the field of WHAT is that Spark/SparkR? would help many R Scientists to understand this Big Data Buzz-tool. I have gathered information from the...

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AirbnB uses R to scale data science

April 5, 2016
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AirbnB uses R to scale data science

Airbnb, the property-rental marketplace that helps you find a place to stay when you're travelling, uses R to scale data science. Airbnb is a famously data-driven company, and has recently gone through a period of rapid growth. To accommodate the influx of data scientists (80% of whom are proficient in R, and 64% use R as their primary data...

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Travis CI: “You Have Too Many Tests LOLZ!”

April 5, 2016
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No output has been received in the last 10m0s, this potentially indicates a stalled build or something wrong with the build itself. As part of getting RSiteCatalyst 1.4.8 ready for CRAN, I’ve managed to accumulate hundreds of testthat tests across 63 test files. Each of these tests runs on Travis CI against an authenticated API, and the

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iptools 0.4.0 released into the wild (i.e. is hitting the CRAN mirrors today)

April 4, 2016
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The iptools package—a toolkit for manipulating, validating and testing IP addresses and ranges, along with datasets relating to IP addresses—is flying through the internets and hitting a CRAN mirror near you, soon. What’s fixed? Tim Smith fixed a bug in ip_in_range() that occurred when the netmask was /32 (thanks, Tim!). What’s new? The range_boundaries() function

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The Coaster Maker by Shiny

April 4, 2016
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The Coaster Maker by Shiny

The word you invented is well formed and could be used in the Italian language (The Accademia della Crusca regarding to the word “Petaloso”, recently invented by an eight-year-old boy) Are you tired of your old coasters? Do you like to make things by your own? Do you have a PC and a printer at … Continue reading...

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Where People Live, part 2

April 4, 2016
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Where People Live, part 2

Following my previous post, I wanted to use another dataset to visualize where people live, on Earth. The dataset is coming from sedac.ciesin.columbia.edu. We you register, you can download the database > base=read.table("glp00ag15.asc",skip=6) The database is a ‘big’ 1440×572 matrix, in each cell (latitude and longitude) we have the population > X=t(as.matrix(base,ncol=1440)) > dim(X) 1440 572 The dataset...

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From spss to R, part 4

April 3, 2016
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From spss to R, part 4

This is the second part of working with ggplot. We will combine the packages dplyr and ggplot to improve our workflow. When you make a visualisation you often experiment with different versions of your plot. Our workflow will be dynamic, in stead of saving every version of the plot you created, we will recreate the plot untill it...

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Election analysis contest entry part 2 – building the nzelect R package

April 3, 2016
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Election analysis contest entry part 2 – building the nzelect R package

Motivation This post is the second in a series that make up my entry in Ari Lamstein’s R Election Analysis Contest, Yesterday I introduced the nzelect R package from a user perspective. Today I’m writing about how the build of that package works. This might be of interest to someone planning on doing something...

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