1879 search results for "tutorial"

Git pushing Shiny Apps with Docker & Dokku

May 11, 2015
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Git pushing Shiny Apps with Docker & Dokku

At this post i will show you how to deploy Shiny Apps easily with a simple git push. But, what’s a git push? I’m referring to the git command used with remote repositories. With this command you can deploy apps easily with a PaaS (Platform as a Service) like Heroku. If you never heard about The post

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Stata’s Academic Growth Nearly as Fast as R’s

May 11, 2015
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Stata’s Academic Growth Nearly as Fast as R’s

by Bob Muenchen Analytics tools take significant effort to master, so once learned people tend to stick with them for much of their careers. This makes the tools used in academia of particular interest in the study of future trends … Continue reading →

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Exchange data between R and the Google Maps API using Shiny

May 10, 2015
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A couple of years ago I wrote a post about using Shiny to exchange data between the Google Maps API and R: http://r-video-tutorial.blogspot.ch/2013/07/interfacing-r-and-google-maps.htmlBack then as far as I remember Shiny did not allow a direct exchange of data between javascript, therefore I had to improvise and extract data indirectly using an external table. In other words, that work was not...

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How to get your very own RStudio Server and Shiny Server with DigitalOcean

May 9, 2015
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How to get your very own RStudio Server and Shiny Server with DigitalOcean

If you've always wanted to have an RStudio Server of your own so that you can access R from anywhere, or your own Shiny Server to host your awesome shiny apps, DigitalOcean (DO) can help you get there easily. DigitalOcean provides virtual private servers (they call each server a droplet), which means that you can pay $5/month to have...

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How to get your very own RStudio Server and Shiny Server with DigitalOcean

May 9, 2015
By
How to get your very own RStudio Server and Shiny Server with DigitalOcean

If you’ve always wanted to have an RStudio Server of your own so that you can access R from anywhere, or your own Shiny Server to host your awesome shiny apps or Rmarkdown documents, DigitalOcean (DO) can help you get there easily. DigitalOcean provides virtual private servers (they call each server a droplet), which means that you can pay...

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Tips and Tools you may need for working on BIG data

May 8, 2015
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Nowadays everyone is talking about big data. As a genomic scientist, I could feel hungry of a collection of tools more specialized for the mediate-to-big data we deal everyday.Here are some tips I found useful when getting, processing or visualizing la...

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useR! 2015 conference in Aalborg

May 6, 2015
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useR! 2015 conference in Aalborg

The annual R conference bringing together users and developers from academia and industry is going to be held in Aalborg, Denmark, this summer, 1-3 July. The day prior to the conference 16 R tutorials are offered free of charge to the participants. The list of topics include dplyr, Tessera, Bioconductor, Grid graphics and RHadoop. In addition to our six...

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Introducing Radiant: A shiny interface for R

May 3, 2015
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Radiant is a platform-independent browser-based interface for business analytics in R, based on the Shiny package. Key features Explore: Quickly and easily summarize, visualize, and analyze your data Cross-platform: It runs in a browser on Windows, Mac, and Linux Reproducible: Recreate results at any time and share work with others as a state file or an

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Introducing Radiant: A shiny interface for R

May 1, 2015
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Radiant is a platform-independent browser-based interface for business analytics in R, based on the Shiny package. Key features Explore: Quickly and easily summarize, visualize, and analyze your data Cross-platform: It runs in a browser on Windows, Mac, and Linux Reproducible: Recreate results at any time and share work with others as a state file or an

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R, Python, MATLAB, & Excel Dashboards & Graphs with D3.js & WebGL

April 29, 2015
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R, Python, MATLAB, & Excel Dashboards & Graphs with D3.js & WebGL

Web tools like D3.js and WebGL let you make beautiful, interactive 2D and 3D graphs. You can now publish graphs and dashboards with these technologies using Python, R, MATLAB, & Excel. Publishing and sharing is one extra line of code. This post puts you on your way, no downloads or installations required. We’ll start with ggplot2; scroll to see Python and MATLAB plots in 2D and 3D. See our

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