1398 search results for "RStudio"

Persistent data storage in Shiny apps

July 1, 2015
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This article is also published on RStudio’s Shiny Articles Shiny apps often need to save data, either to load it back into a different session or to simply log some information. However, common methods of storing data from R may not work well with Shiny. Functions like write.csv() and saveRDS() save data locally, but consider how

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News from UseR!2015 – the RHadoop tutorial

July 1, 2015
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News from UseR!2015 – the RHadoop tutorial

by Andrie de Vries Today is the first day of UseR!2015 conference in Aalborg in Northern Denmark. But yesterday was a day packed with 16 tutorials on a range of interesting topics. I submitted a proposal many months ago to run a session on using R in Hadoop and was very happy to selected to run a session in...

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Variable Selection using Cross-Validation (and Other Techniques)

July 1, 2015
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Variable Selection using Cross-Validation (and Other Techniques)

A natural technique to select variables in the context of generalized linear models is to use a stepŵise procedure. It is natural, but contreversial, as discussed by Frank Harrell  in a great post, clearly worth reading. Frank mentioned about 10 points against a stepwise procedure. It yields R-squared values that are badly biased to be high. The F and chi-squared tests quoted...

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Useful tutorials

June 30, 2015
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There are some tools that I use regularly, and I would like my research students and post-docs to learn them too. Here are some great online tutorials that might help. ggplot tutorial from Winston Chang Writing an R package from Karl Broman Rmarkdown from RStudio Shiny from RStudio git/github guide from Karl Broman minimal make tutorial from Karl

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How I made every tech company that I may ever want to work for in the future hate me, or “GO R Consortium!”

June 30, 2015
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How I made every tech company that I may ever want to work for in the future hate me, or “GO R Consortium!”

It turns out that when people tell you things, you should listen. Like when Joe Rickert of Microsoft says “this is not news, please don’t repeat what I’m about to say”, you should maybe take note and keep your mouth shut. I’m not quite sure how I missed that, but I did. So on Sunday

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PRESS RELEASE: Mango Solutions and The R Consortium

June 30, 2015
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PRESS RELEASE: Mango Solutions and The R Consortium

Mango Solutions announces its key involvement with the newly launched R Consortium to support millions of users around the world   Mango Solutions, the leading data science company based in Europe and with offices in the UK and China are … Continue reading →

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Announcing the R Consortium

June 30, 2015
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Announcing the R Consortium

The R community has grown explosively over the past few years, both in terms of the number of R users and the number of companies who rely on R as their data science platform. To serve the needs of this rapidly growing community, and to continue the success of the R Project as a whole, representatives from the R...

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Get by with a little (R) help from your friends (at GitHub)

June 29, 2015
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Get by with a little (R) help from your friends (at GitHub)

@JennyBryan posted her slides from the 2015 R Summit and they are a must-read for instructors and even general stats/R-folk. She’s one of the foremost experts in R+GitHub and her personal and class workflows provide solid patterns worth emulation. One thing she has mentioned a few times—and included in her R Summit talk—is the idea

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dendextend version 1.0.1 + useR!2015 presentation

June 28, 2015
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dendextend version 1.0.1 + useR!2015 presentation

My R package dendextend (version 1.0.1) is now on CRAN! The dendextend package Offers a set of functions for extending dendrogram objects in R, letting you visualize and compare trees of hierarchical clusterings. With it you can (1) Adjust a tree’s graphical parameters – the color, size, type, etc of its branches, nodes and labels. … Continue reading...

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DotCity: a game written in R? and other statistical computer games?

June 28, 2015
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DotCity: a game written in R? and other statistical computer games?

A while back I recommended Nathan Uyttendaele’s beginner’s guide to speeding up R code. I’ve just heard about Nathan’s computer game project, DotCity. It sounds like a statistician’s minimalist take on SimCity, with a special focus on demographic shifts in … Continue reading →

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