2990 search results for "TwitteR"

Notes from 2nd Bayesian Mixer Meetup

April 19, 2016
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Notes from 2nd Bayesian Mixer Meetup

Last Friday the 2nd Bayesian Mixer Meetup (@BayesianMixer) took place at Cass Business School, thanks to Pietro Millossovich and Andreas Tsanakas, who helped to organise the event.Bayesian Mixer at CassFirst up was Davide De March talking about the challenges in biochemistry experimentation, which are often characterised by complex and...

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R’s Growth Continues to Accelerate

April 19, 2016
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R’s Growth Continues to Accelerate

Each year I update the growth in R’s capability on The Popularity of Data Analysis Software. And each year, I think R’s incredible rate of growth will finally slow down. Below is a graph of the latest data, and as … Continue reading →

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Shiny module design patterns: Pass module inputs to other modules

April 19, 2016
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Shiny module design patterns: Pass module inputs to other modules

Continuing in the series of shiny module design patterns, this post covers how to pass all the inputs from one module to another. TL;DR Return input from within the server call. Store the callModule() result in a variable. Pass the variable into arguments for other modules. Access the variable like you would input. Steal the The post

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R Election Analysis Contest Results

April 18, 2016
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R Election Analysis Contest Results

On March 28th I announced the R Election Analysis Contest. The quantity and quality of submissions was amazing!  If you have not been following along, here is a complete list of submissions, with links, in order of submission. I encourage you to read them all! A Behind the Scenes Look… Before announcing the winner, I’d The post

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The Hype Bubble Map for Dog Breeds

April 18, 2016
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The Hype Bubble Map for Dog Breeds

In the whole history of the world there is but one thing that money can not buy… to wit the wag of a dog’s tail (Josh Billings) In this post I combine several things: Simple webscraping to read the list of companion dogs from Wikipedia. I love rvest package to do these things. Google Trends … Continue reading...

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How I Learned to Stop Worrying and Love R CMD Check

April 17, 2016
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How I Learned to Stop Worrying and Love R CMD Check

Last week, I officially became the maintainer of a CRAN package! My package for the texts of Jane Austen’s 6 completed, published novels, janeaustenr, was released on CRAN and my Twitter feed was filled with congratulatory Jane Austen GIFs. I think this might be my favorite. .@juliasilge *clears schedule**opens @rstudio * pic.twitter.com/Hu7V2E0ULJ— Andrew MacDonald...

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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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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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