1698 search results for "RStudio"

R 3.2.3 is released (with improvements for Windows users, and general bug fixes)

December 14, 2015
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R 3.2.2 (codename “Wooden Christmas Tree”) was released several days ago. You can get the latest binaries version from here. (or the .tar.gz source code from here). The full list of new features and bug fixes is provided below. Major changes in R 3.2.3 As highlighted by David Smith, this release makes a few small improvements and bug fixes to … Continue reading...

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Data Science Radar – Technologist Profile

December 14, 2015
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Data Science Radar – Technologist Profile

    by Mark Sellors, Mango Solutions @sellorm  Mark Sellors from Mango took the Data Science Radar Challenge and his dominant skill was a Technologist, so we asked him a few questions. 1.  Tell us a bit about your background … Continue reading →

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GRUPO: Shiny App For Benchmarking Pubmed Publication Output

December 14, 2015
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GRUPO: Shiny App For Benchmarking Pubmed Publication Output

This is a guest post from VP Nagraj, a data scientist embedded within UVA’s Health Sciences Library, who runs our Data Analysis Support Hub (DASH) service.The WhatGRUPO (Gauging Research University Publication Output) is a Shiny app that provides side-by-side benchmarking of American research university publication activity.The HowThe code behind the app is written in R,...

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Maintaining a database of price files in R

December 13, 2015
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Maintaining a database of price files in R

Doing quantitative research implies a lot of data crunching and one needs clean and reliable data to achieve this. What is really needed is clean data that is easily accessible (even without an internet connection). The most efficient way to do this for me has been to maintain a set of csv files. Obviously this

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Bringing the powers of SQL into R

December 11, 2015
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Bringing the powers of SQL into R

One of the big flaw of R is that data loaded into it are stored in the memory (on the RAM) and not on the disk. As you are working in an analysis with large (big) data the processing time of simple and more complex functions can become very long or even crash your computer.

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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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How to Learn R

December 10, 2015
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There are tons of resources to help you learn the different aspects of R, and as a beginner this can be overwhelming. It’s also a dynamic language and rapidly changing, so it’s important to keep up with the latest tools and technologies. That’s why R-bloggers and DataCamp have worked together to bring you a learning path for R. Each section...

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Cause of Death: Melanin | Evaluating Death by Police Data

December 10, 2015
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Cause of Death: Melanin | Evaluating Death by Police Data

Widespread attention towards the death of black men by police has sparked protests and public outrage in many a city. Recently, the Federal Government has launched an investigation into the conduct of the entire Chicago police department. However, by p...

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svglite 1.0.0

December 10, 2015
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svglite 1.0.0

I’m pleased to announced a new package for producing SVGs from R: svglite. This package is a fork of Matthieu Decorde RSvgDevice and wouldn’t be possible without his hard work. I’d also like to thank David Gohel who wrote the gdtools package: it solves all the hardest problems associated with making good SVGs from R.

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How to Run A Shiny App in the Cloud Using Tutum, Digital Ocean and Docker Containers

December 10, 2015
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How to Run A Shiny App in the Cloud Using Tutum, Digital Ocean and Docker Containers

Via RBloggers, I spotted this post on Deploying Your Very Own Shiny Server. I’ve been toying with the idea of running some of my own Shiny apps, so that post provided a useful prompt, though way too involved for me;-) So here’s what seems to me to be an easier, rather more pointy-clicky, wiring stuff

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