457 search results for "shiny"

Come see RStudio at JSM in Boston

August 1, 2014
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Come see RStudio at JSM in Boston

The Joint Statistical Meetings (JSM) start this weekend! We wanted to let you know we’ll be there. Be sure to check out these sessions from RStudio and friends: Sunday, August 3 4:00 PM: A Web Application for Efficient Analysis of Peptide Libraries: Eric Hare*+ and Timo Sieber and Heike Hofmann 4:00 PM: Gravicom: A Web-Based

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The R Markdown Cheat Sheet

August 1, 2014
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The R Markdown Cheat Sheet

R Markdown is a framework for writing versatile, reproducible reports from R. With R Markdown, you write a simple plain text report and then render it to create polished output. You can: Transform your file into a pdf, html, or Microsoft Word document—even a slideshow—at the click of a button. Embed R code into your report. When

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A Data Scientist’s and R User’s Guide to the JSM

July 31, 2014
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by Joseph Rickert The Joint Statistical Meetings (JSM) get underway this weekend in Boston and Revolution Analytics is again proud to be a sponsor. More than 6,000 statisticians and data scientists from around the world are expected to attend and listen to thousands of presentations. It is true that many talks will be on specialized topics that only statisticians...

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Revisiting package dependencies

July 29, 2014
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Revisiting package dependencies

by Andrie de Vries In my previous post I wrote about how to identify and visualize package dependencies. Within hours, Duncan Murdoch (member of R-core) identified some discrepancies between my list of dependencies and the visualisation. Since then, I fixed the dispecrancies. In this blog post I attempt to clarify the issues involved in listing package dependencies. In miniCRAN...

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Data Caching

July 28, 2014
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Data caching is not new. It is often necessary to save intermediate data files when the process of loading and/or manipulating data takes a considerable amount of time. This problem is further complicated when working with dynamic data that changes regularly. In these situations it often sufficient to use data that is current with in some time frame (e.g....

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A Few Notes on UseR! 2014

July 25, 2014
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A Few Notes on UseR! 2014

It has been a month since the UseR! 2014 conference, and I'm probably the last one who writes about it. UseR! is my favorite conference because it is technical and not too big. I have completely lost interest in big and broad conferences like JSM (to me, it has become Joint Sightseeing Meetings). Karl has written two blog posts...

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Things to try after useR! – Part 1: Deep Learning with H2O

July 25, 2014
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Things to try after useR! – Part 1: Deep Learning with H2O

Annual R User Conference 2014The useR! 2014 conference was a mind-blowing experience. Hundreds of R enthusiasts and the beautiful UCLA campus, I am really glad that I had the chance to attend! The only problem is that, after a few days of non-stop R talks, I was (and still am) completely overwhelmed...

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UseR 2014, days 3-4

July 21, 2014
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UseR 2014, days 3-4

Three weeks ago, I’d commented on the first two days of the UseR 2014 conference. I’m finally back to talk about the second half. Dirk Eddelbuettel on Rcpp Dirk Eddelbuettel gave a keynote on Rcpp . The goal of Rcpp is to have “the speed of C++ with the ease and clarity of R.” He

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RStudio Webinar with Hadley Wickham: The Grammar and Graphics of Data Science

July 17, 2014
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RStudio Webinar with Hadley Wickham: The Grammar and Graphics of Data Science

RStudio has recently announced a series of free webinars open to the public. The first of these seminars is given by Hadley Wickham, Rice University Professor, RStudio Chief Scientist, and general super-star of the R development world. Contributing aut...

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RStudio presents Essential Tools for Data Science with R

July 16, 2014
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RStudio presents Essential Tools for Data Science with R

The RStudio team recently rolled out new capabilities in RStudio, shiny, ggvis, dplyr, knitr, R Markdown, and packrat. The “Essential Tools for Data Science with R” free webinar series is the perfect place to learn more about the power of these R packages from the authors themselves. Click to learn more and register for one or

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