1866 search results for "RStudio"

Non-Uniform Population Density in some European Countries

April 17, 2016
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Non-Uniform Population Density in some European Countries

A few months ago, I did mention that France was a country with strong inequalities, especially when you look at higher education, and research teams. Paris has almost 50% of the CNRS researchers, while only 3% of the population lives there. CNRS, "répartition des chercheurs en SHS" http://t.co/39dcJJBwrF, Paris 47.52% IdF 66.85% (pop 3.39% et 18.18% resp) pic.twitter.com/OsEXiFywPf — Arthur...

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(ggplot2) Exercising with (ggalt) dumbbells

April 17, 2016
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(ggplot2) Exercising with (ggalt) dumbbells

I follow the most excellent Pew Research folks on Twitter to stay in tune with what’s happening (statistically speaking) with the world. Today, they tweeted this excerpt from their 2015 Global Attitudes survey: The age gap in social media use around the world https://t.co/0Dq1PcbExG pic.twitter.com/9HBM7gLxwR— PewResearch Internet (@pewinternet) April 17, 2016 I thought it might... Continue reading →

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Simpler isn’t always faster

April 14, 2016
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Simpler isn’t always faster

My name is Jonathan, and I have a coding obsession. I'll admit it, the Hadleyverse has ruined me. I can no longer read a blog post or stackoverflow question in base R and leave it be. There are improvements to...Continue Reading →

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Shiny module design patterns: Pass module input to other modules

April 14, 2016
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Shiny module design patterns: Pass module input to other modules

Following on from looking at the shiny modules design pattern of passing an input value to many modules, I’m now going to look at a more complex shiny module design pattern: passing an input from one module to another. TL;DR Return the input in a reactive expression from within the server call. Store the callModule() The post

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d3/R Streamgraph on White House Petition Data

April 14, 2016
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d3/R Streamgraph on White House Petition Data

After last week’s post with the d3-htmlwidget chordplot showing the network of petition categories, in this post I decided to show the time trend aspect of how the petitions came in. I’m using @hrbrmstr’s htmlwidgets wrapper of a d3 streamgraph to help visualize the macro- and tag-specific trends. Compared to the chordplot, the time trend allowed...

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Microsoft Data Science VM now available as a Linux instance

April 13, 2016
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Microsoft Data Science VM now available as a Linux instance

Microsoft's Linux Data Science Virtual Machine is now available for use on the Azure Marketplace. Like the Windows-based instance of the Data Science VM, this pre-built system based on Linux CentOS 7.2 includes all the tools you'll need to analyze data, including Microsoft R Open, Anaconda Python, Jupyter Notebooks and a PostgreSQL database instance. It also includes a suite...

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Registration for R/Finance 2016 is open!

April 11, 2016
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You can find registration information and agenda details on the conference website.  Or you can go directly to the Cvent registration page.Note that registration fees will increase by 50% at the end of early regi...

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Clandestine DNS lookups with gdns

April 10, 2016
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Clandestine DNS lookups with gdns

Google recently announced their DNS-over-HTTPS API, which “enhances privacy and security between a client and a recursive resolver, and complements DNSSEC to provide end-to-end authenticated DNS lookups”. The REST API they provided was pretty simple to wrap into a package and I tossed in some SPF functions that I had lying around to bulk it... Continue reading →

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Free data science video lecture: debugging in R

April 9, 2016
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We are pleased to release a new free data science video lecture: Debugging R code using R, RStudio and wrapper functions. In this 8 minute video we demonstrate the incredible power of R using wrapper functions to catch errors for later reproduction and debugging. If you haven’t tried these techniques this will really improve your … Continue reading...

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Safe Loading of RData Files

April 8, 2016
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Safe Loading of RData Files

Unless you have configured R not to ask, every time you close R or RStudio you are prompted to save your workspace. This saves an RData file to the working directory. The functions save.image() and save() offer a little more … Continue reading →

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