624 search results for "knitr"

50 years of Data Science – by David Donoho

January 5, 2016
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David Donoho published a fascinating paper based on a presentation at the Tukey Centennial workshop, Princeton NJ Sept 18 2015. You can download the full paper from here.  The paper got quite the attention on Hacker News, Data Science Central, Simply Stats, Xi’an’s blog, srown ion medium, and probably others. Share your thoughts in the … Continue reading...

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Some programming language theory in R

January 1, 2016
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Some programming language theory in R

Let’s take a break from statistics and data science to think a bit about programming language theory, and how the theory relates to the programming language used in the R analysis platform (the language is technically called “S”, but we are going to just call the whole analysis system “R”). Our reasoning is: if you … Continue reading...

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Creating multi-tab reports with R and jQuery UI

December 29, 2015
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Creating multi-tab reports with R and jQuery UI

by Matt Parker, Data Scientist at Microsoft One of the great advantages of R's openness is its extensibility. R's abundant packages are the most conspicuous example of that extensibility, and Revolution R Enterprise is a powerful example of how far it can stretch. But R is also part of an entire ecosystem of open tools that can be linked...

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Set up Sublime Text for light-weight all-in-one data science IDE

December 23, 2015
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Set up Sublime Text for light-weight all-in-one data science IDE

tl;dr Sublime Text is a powerful text editor. Here I introduce how to add custom REPL config for remote/local R, Python, Scala, Spark, Hive, you name it (this is only tested for OS X). The example below interprets local Python (top), R (middle) and Hive (bottom) code on remote. IDE for everything Good IDEs are everywhere. RStudio for R, Pycharm for...

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Joy to the World, and also Anticipation, Disgust, Surprise…

December 21, 2015
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Joy to the World, and also Anticipation, Disgust, Surprise…

In my previous blog post, I analyzed my Twitter archive and explored some aspects of my tweeting behavior. When do I tweet, how much do retweet people, do I use hashtags? These are examples of one kind of question, but what about the actual verbal content of my tweets, the text itself? What kinds of questions can we...

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RStudio Clone for Python – Rodeo

December 17, 2015
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RStudio Clone for Python – Rodeo

So have you been looking for something like RStudio, but for Python? It’s been out for some time, but a recently updated release of Rodeo gives an increasingly workable RStudio-like environment for Python users. The layout resembles the RStudio layout – file editor top left, interactive console bottom left, variable inspector  and history top right,

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An Easy Start with Jekyll, for R-Bloggers

December 15, 2015
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I would like my upper-level students to get more practice in writing about their data analysis work (well, to get get more practice in writing, generally). Blogging is one device by which students can be motivated to write carefully, with a particular audience in mind. So why not have students blog about aspects of their R-work? Students need cheap...

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Create blog posts from RStudio to WordPress

December 14, 2015
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Create blog posts from RStudio to WordPress

In a couple of courses I’ve used RPubs and GitHub for publishing my R code and work. As I have a own website with WordPress I want to blog from R to my own blog instead only through sharing R code via RPubs and GitHub. After searching over the internet I find

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Practical Data Science with R examples

December 11, 2015
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One of the big points of Practical Data Science with R is to supply a large number of fully worked examples. Our intent has always been for readers to read the book, and if they wanted to follow up on a data set or technique to find the matching worked examples in the project directory … Continue reading...

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Sequential Analysis

December 11, 2015
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Sequential Analysis

We here at Win-Vector LLC been working through an ad-hoc series about A/B testing combining elements of both operations research and statistical points of view. A dynamic programming solution to A/B test design Why does designing a simple A/B test seem so complicated? A clear picture of power and significance in A/B tests Bandit Formulations … Continue reading...

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