1224 search results for "RStudio"

Announcing: Introduction to Data Science video course

February 25, 2015
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Announcing: Introduction to Data Science video course

Win-Vector LLC’s Nina Zumel and John Mount are proud to announce their new data science video course Introduction to Data Science is now available on Udemy. We designed the course as an introduction to an advanced topic. The course description is: Use the R Programming Language to execute data science projects and become a data … Continue reading...

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Using Hadoop Streaming API to perform a word count job in R and C++

February 25, 2015
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by Marek Gagolewski, Maciej Bartoszuk, Anna Cena, and Jan Lasek (Rexamine). Introduction In a recent blog post we explained how we managed to set up a working Hadoop environment on a few CentOS7 machines. To test the installation, let’s play…Read more ›

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Make prettier documents by reusing chunks in RMarkdown

February 23, 2015
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Make prettier documents by reusing chunks in RMarkdown

No revelations here, just a little R tip for generating more readable documents. There are times when I want to show code in a document, but I don’t want it to be the first thing that people see. What I want to see first is the output from that code. In this silly example, I

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drat Tutorial: Publishing a package

February 22, 2015
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Introduction The drat package was released earlier this month, and described in a first blog post. I received some helpful feedback about what works and what doesn't. For example, Jenny Bryan pointed out that I was not making a clear enough distinction between the role of using drat to publish code, and using drat to...

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Continuous Integration for R packages

February 21, 2015
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What is git? Git is a version control system, and the best I have worked with for that matter. 15 years ago, I was happy when my company decided to migrate from RCS to SVN. Branching became simple, and many daily problems just disappeared. So I shuned other source control versioning systems for a long The post

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Launching our R Training Path

February 20, 2015
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Launching our R Training Path

Become a proficient R user in no time via DataCamp’s newly launched guided R Training Path! We’re very excited to announce that we have just launched the R Training Path! This guided training path will take you from getting to know R, the leading open-source programming language in statistics and data science, over manipulation and The post

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RTutor Kicks Off: An Interactive R Problem Set about Top Income Taxation

February 16, 2015
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RTutor Kicks Off: An Interactive R Problem Set about Top Income Taxation

RTutor is a new R package that allows to develop interactive R exercises. Problem sets can be solved off-line or can be hosted online via shiny server. Try out an Interactive Problem Set about Optimal Taxation of Top Labor Incomes Jonas Send has written a very nice interactive R problem set that allows you to explore the key insights of the...

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12 nifty tips for scientists who use computers

February 16, 2015
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Simple things are good. Here is a list of 12 things that I find simple and useful, yet not many of my colleagues use them. The list is R-biased. Knitr. Intuitive tool to integrate R and text to make reports with fancy fonts, figures, syntax-highlighted R code and equations. If … Continue reading →

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Debugging with restore points instead of break points

February 15, 2015
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Debugging with restore points instead of break points

break points and restore points The standard method to debug an R function is to set break points via the browser function. When during execution of the function, browser() is called, the R console immediately changes into an interactive debugging mode that allows to step through the code and enter any R expressions. Thanks to RStudio's visual debugging support, this...

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Introducing the streamgraph htmlwidget R Package

February 15, 2015
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2015-02-17 15_12_00-Clipboard

We were looking for a different type of visualization for a project at work this past week and my thoughts immediately gravitated towards streamgraphs. The TLDR on streamgraphs is they they are generalized versions of stacked area graphs with free baselines across the x axis. They are somewhat controversial but have a “draw you in”

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