1987 search results for "Rstudio"

Last day – get access to all the R courses at DataCamp for $9 (for the first month)

November 30, 2015
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datacamp9

DataCamp is offering R-bloggers readers a holiday promotion. For just $9 (instead of $25) You can gain access to their full curriculum of online R courses, videos and interactive coding challenges. With hands-on learning and instruction from leading experts such as Garrett Grolemund (RStudio), Matt Dowle (data.table) and Bob Muenchen (r4stats), DataCamp’s premium courses can help you acquire new R...

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Interactive association rules exploration app

November 29, 2015
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Interactive association rules exploration app

Features How to get How to use Screenshots Code In a previous post, I wrote about what I use association rules for and mentioned a Shiny application I developed to explore and visualize rules. This post is about that app. The app is mainly a wrapper around the

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gtrends 1.3.0 now on CRAN: Google Trends in R

November 29, 2015
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gtrends 1.3.0 now on CRAN: Google Trends in R

Sometime earlier last year, I started to help Philippe Massicotte with his gtrendsR package---which was then still "hiding" in relatively obscurity on BitBucket. I was able to assist with a few things related to internal data handling as well as package setup and package builds--but the package is really largely Philippe's. But then we both got busy,...

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TreeMap World Population visualisation

November 26, 2015
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This example is inspired by the examples of the treemap package. You’ll learn how to convert a data.frame to a data.tree structure navigate a tree and locate specific nodes use Aggregate and Cumulate manipulate an existing tree, e.g. by using the Prune method use data.tree in connection with the treemap package This code builds on version The post

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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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