1907 search results for "RStudio"

Making an R based ML model accessible through a simple API

November 24, 2015
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Building an accurate machine learning (ML) model is a feat on its own. But once you’re there, you still need to find a way to make the model accessible to users. If you want to create a GUI for it, the obvious approach is going after shiny. However, often you don’t want a direct GUI for a ML...

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Course Management and Collaborative Jupyter Notebooks via SageMathCloud

November 24, 2015
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Course Management and Collaborative Jupyter Notebooks via SageMathCloud

Prompted by a joint coursemodule team to look at options surrounding a “virtual computing lab” to support a couple of new level 1 (first year equivalent) IT and computing courses (they should know better?!;-), I had another scout around and came across SageMathCloud, which looks at first glance to be just magical:-) An open source,

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A new blogging workflow

November 23, 2015
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Just disovered the Jekyll - github pages combination. Perfect for a very simple static blog site. I also found a pretty neat integration with RMarkdown which suits me perfectly, as I am mainly using R and will be posting bits and pieces of that. A summary of how it works... Install Jekyll on a local directory and build...

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Using Apache SparkR to Power Shiny Applications: Part I

November 22, 2015
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Using Apache SparkR to Power Shiny Applications: Part I

Introduction The objective of this blog post is demonstrate how to use Apache SparkR to power Shiny applications. I have been curious about what the use cases for a “Shiny-SparkR” application would be and how to develop and deploy such an app. SparkR is an R package that provides a light-weight frontend to use Apache…

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An OS X R Task Runner for—and a Mini-R-centric review of—Microsoft’s Visual Studio Code Editor

November 21, 2015
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Microsoft’s newfound desire to make themselves desirable to the hipster development community has caused them to make many things open and/or free of late. One of these manifestations is Visual Studio Code, an Atom-ish editor for us code jockeys. I have friends at Microsoft and the Revolution R folks are there now, so I try

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The R-Podcast Episode 14: Tips and Tricks for using R-Markdown

November 18, 2015
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The R-Podcast is back up and running! In this episode I discuss some useful resources and helpful tips/extensions that have greatly enhanced my work flow in creating reproducible analysis documents via R-Markdown. I also highlight some exciting new endeavors in the R community as well as provide my take on two key events that further

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The R-Podcast Episode 14: Tips and Tricks for using R-Markdown

November 18, 2015
By

The R-Podcast is back up and running! In this episode I discuss some useful resources and helpful tips/extensions that have greatly enhanced my work flow in creating reproducible analysis documents via R-Markdown. I also highlight some exciting new endeavors in the R community as well as provide my take on two key events that further illustrate the rapidly growing use of R across...

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R Markdown senior thesis template

November 17, 2015
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R Markdown senior thesis template

“Science is reportedly in the middle of a reproducibility crisis.” This is the claim of quite a few these days including an article from ROpenSci which directly references another article by The Conversation. But what is “reproducible research” and how … Continue reading →

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Creating nice tables using R Markdown

November 17, 2015
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Creating nice tables using R Markdown

One of the neat tools available via a variety of packages in R is the creation of beautiful tables using data frames stored in R. In what follows, I’ll discuss these different options using data on departing flights from Seattle … Continue reading →

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PubMed search Shiny App using RISmed

November 17, 2015
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PubMed search Shiny App using RISmed

In part one of a series of tutorials, we will develop a Shiny App for performing analysis of academic text from PubMed. There’s no shortage of great tutorials for developing a Shiny App using R, including Shiny’s own tutorial. Here at datascience+ we have a perfect introduction by Teja Kodali and a more in-depth development

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