1862 search results for "rstudio"

A list of awesome statistics resources in 2014

December 19, 2014
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Johns Hopkins Biostatistics Professor (and presenter of Data Analysis at Coursera) Jeff Leek has published his list of awesome things other people did in 2014. It's well worth following the links in his 38 entries, where you'll find a wealth of useful resources in teaching, statistics, data science, and data visualization. Many of the entries are related to R,...

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Rocker is now the official R image for Docker

December 19, 2014
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Rocker is now the official R image for Docker

Something happened a little while ago which we did not have time to commensurate properly. Our Rocker image for R is now the official R image for Docker itself. So getting R (via Docker) is now as simple as saying docker pull r-base. This particular...

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The Geometry of Classifiers

December 18, 2014
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The Geometry of Classifiers

As John mentioned in his last post, we have been quite interested in the recent study by Fernandez-Delgado, et.al., “Do we Need Hundreds of Classifiers to Solve Real World Classification Problems?” (the “DWN study” for short), which evaluated 179 popular implementations of common classification algorithms over 120 or so data sets, mostly from the UCI … Continue reading...

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htmlwidgets: JavaScript data visualization for R

December 18, 2014
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htmlwidgets: JavaScript data visualization for R

Today we’re excited to announce htmlwidgets, a new framework that brings the best of JavaScript data visualization libraries to R. There are already several packages that take advantage of the framework (leaflet, dygraphs, networkD3, DataTables, and rthreejs) with hopefully many more to come. An htmlwidget works just like an R plot except it produces an interactive web

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Producing student/teacher versions from a single Sweave file

December 16, 2014
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Producing student/teacher versions from a single Sweave file

This tutorial describes how to integrate computable R code (and outputs) in a LaTeX documents in a such a way that a single file can generate two (or more) PDF files. This trick is particularly useful for creating worksheets for R courses. A very small introduction to integrating R code in LaTeX files R code

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A short post: A Shiny Application for Visualizing Colors in R

December 16, 2014
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A short post: A Shiny Application for Visualizing Colors in R

Choosing the right colors for graphics is vital for good data visualization. There are 657 colors defined in R using color names. The names of these colors can be obtained using the R command: Some examples of color names in R include exotic sounding ones such as ‘steelblue1′, ‘thistle’, ‘mintcream’ and so on! But how

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Learning R: Live Webinar, Interactive Self-Paced, or Site Visit?

December 15, 2014
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Learning R: Live Webinar, Interactive Self-Paced, or Site Visit?

My recent blog post, Why R is Hard to Learn, must have hit a nerve as it was read by over 6,000 people in its first two days online.  If you’re using R to augment your work in SAS, SPSS … Continue reading →

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Review: Data Science at the Command Line

December 15, 2014
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Review: Data Science at the Command Line

Admission: I didn’t really know how computers worked until around 2012. For the majority of my career, I’ve worked for large companies with centralized IT functions. Like many statisticians, I fell into a comfortable position of learning SAS in a Windows environment, had Ops people to fix any Unix problems I’d run into and DBAs to

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httr 0.6.0

December 14, 2014
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httr 0.6.0

httr 0.6.0 is now available on CRAN. The httr packages makes it easy to talk to web APIs from R. Learn more in the quick start vignette. This release is mostly bug fixes and minor improvements. The most important are: handle_reset(), which allows you to reset the default handle if you get the error “easy

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Hierarchical Clustering with R (feat. D3.js and Shiny)

December 14, 2014
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Hierarchical Clustering with R (feat. D3.js and Shiny)

Agglomerative hierarchical clustering is a simple, intuitive and well-understood method for clustering data points. I used it with good results in a project to estimate the true geographical position of objects based on measured estimates. With this tutorial I would … Continue reading →

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