Monthly Archives: June 2015

The Single Most Important Skill for a Data Scientist

June 25, 2015
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By Richard Pugh, Commercial Director I love my job.  Seriously.  I was enjoying it before Hal Varian made it sexy, but since then, and the data science explosion, everything has kicked into an even higher gear.  Why do I love … Continue reading →

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translate2R: Easy switch from SPSS to R by using common concepts like temporary and column wise missing values

June 25, 2015
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translate2R: Easy switch from SPSS to R by using common concepts like temporary and column wise missing values

If you translate scripts from one language to another you usually encounter conceptual differences in both languages. Typically, you start with a new language by adapting the concepts you are used to and then you expand your skills by using the concepts of the other language step by step. Part of the idea behind our

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R vs Python: Survival Analysis with Plotly

June 24, 2015
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R vs Python: Survival Analysis with Plotly

(This article was first published on Plotly Blog, and kindly contributed to R-bloggers) We just published a new Survival Analysis tutorial. You can find code, an explanation of methods, and six interactive ggplot2 and Python graphs here. How We Built It Survival analysis is a set of statistical methods for analyzing events over time: time to death in biological...

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Leaflet: Interactive web maps with R

June 24, 2015
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Leaflet: Interactive web maps with R

We are excited to announce that a new package leaflet has been released on CRAN. The R package leaflet is an interface to the JavaScript library Leaflet to create interactive web maps. It was developed on top of the htmlwidgets framework, which means the maps can be rendered in R Markdown (v2) documents, Shiny apps, and RStudio IDE

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DT: An R interface to the DataTables library

June 24, 2015
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DT: An R interface to the DataTables library

We are happy to announce a new package DT is available on CRAN now. DT is an interface to the JavaScript library DataTables based on the htmlwidgets framework, to present rectangular R data objects (such as data frames and matrices) as HTML tables. You can filter, search, and sort the data in the table. See http://rstudio.github.io/DT/ for the full

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d3heatmap: Interactive heat maps

June 24, 2015
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d3heatmap: Interactive heat maps

We’re pleased to announce d3heatmap, our new package for generating interactive heat maps using d3.js and htmlwidgets. Tal Galili, author of dendextend, collaborated with us on this package. d3heatmap is designed to have a familiar feature set and API for anyone who has used heatmap or heatmap.2 to create static heatmaps. You can specify dendrogram, clustering, and scaling options

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Stringdist 0.9.2: dist objects, string similarities and some deprecated arguments

June 24, 2015
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Stringdist 0.9.2: dist objects, string similarities and some deprecated arguments

On 24-06-2015 stringdist 0.9.2 was accepted on CRAN. A summary of new features can be found in the NEWS file; here I discuss the changes with some examples. Computing 'dist' objects with 'stringdistmatrix' The R dist object is used as … Continue reading →

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RStudio adds custom domains, bigger data and package support to shinyapps.io

June 24, 2015
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RStudio adds custom domains, bigger data and package support to shinyapps.io

It’s time to share “What’s New” in shinyapps.io! Custom Domains – host your shiny applications on your own domain (Professional Plan only).  Learn more. Bigger applications – include up to 1GB of data with your application bundles! Bigger packages – until now shinyapps.io could only support installation of packages under 100MB; now it’s 1GB! (attention

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Running RStudio on Digital Ocean, AWS etc Using Tutum and Docker Containers

June 24, 2015
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Running RStudio on Digital Ocean, AWS etc Using Tutum and Docker Containers

Via RBloggers I noticed a tutorial today on Setting Rstudio server using Amazon Web Services (AWS). In the post Getting Started With Personal App Containers in the Cloud I described how I linked my tutum account to a Digital Ocean hosting account and then launched a Digital Ocean server. (How to link tutum to Amazon

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plumber — Convert R Code to a Web API

I’m excited to announce a new R package: plumber, a package that enables you to convert your existing R code into web APIs by merely adding a couple of special comments. EDIT: This package was originally named “rapier” and has since been renamed to “plumber”. Take a look at an example:

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