1866 search results for "Rstudio"

Deploying Your Very Own Shiny Server

December 8, 2015
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Deploying Your Very Own Shiny Server

Nicole has been having a lot of fun the last few days creating her own Shiny apps. We work in the same space, and let’s just say her enthusiasm is very contagious. While

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Build Online Image Classification Service with Shiny and MXNetR

Build Online Image Classification Service with Shiny and MXNetR

Early this week, Google announced its Cloud Vision API, which can detect the content of an image. With the power of R and MXNet, you can try something very similar on your own laptop: an image classification shiny app. Thanks to the powerful shiny framework, it is implemented with no more than 150 lines of R code. Installing mxnet...

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How Could Classification Trees Be So Fast on Categorical Variables?

December 8, 2015
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How Could Classification Trees Be So Fast on Categorical Variables?

I think that over the past months, I have been saying non-correct things about classification with categorical covariates. Because I never took time to look at it carefuly. Consider some simulated dataset, with a logistic regression, > n=1e3 > set.seed(1) > X1=runif(n) > q=quantile(X1,(0:26)/26) > q=0 > X2=cut(X1,q,labels=LETTERS) > p=exp(-.1+qnorm(2*(abs(.5-X1))))/(1+exp(-.1+qnorm(2*(abs(.5-X1))))) > Y=rbinom(n,size=1,p) > df=data.frame(X1=X1,X2=X2,p=p,Y=Y) Here, we use some continuous covariate, except...

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Using Apache SparkR to Power Shiny Applications: Part I

December 8, 2015
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Using Apache SparkR to Power Shiny Applications: Part I

This post was first published on SparkIQ Labs’ blog and re-posted on my personal blog. 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.

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Unit tests for R packages

Karl Broman has written a nice blog post to recommend writing unit tests for R packages. Here are a few more pointers on how to write these tests. I was introduced to unit tests by Barret Schloerke, who asked me to write some for the network plotting functions that I have contributed to the GGally...

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Document your hike with interactive leaflets and R

December 7, 2015
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Document your hike with interactive leaflets and R

Maarten Hermans is a sociologist and researcher at KU Leuven in Belgium and an avid hiker. He uses an Android app to track his location and elevation on his hikes, which means he can download his hike data in GPS Exchange Format. With this data and a few R packages, he was then able to create interactive topological maps...

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Building Shiny apps – an interactive tutorial

December 7, 2015
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Building Shiny apps – an interactive tutorial

This tutorial was originally developed for the STAT545 course at UBC, but I decided to publish it shortly afterwards so that more people can benefit from it Shiny is a package from RStudio that can be used to build interactive web pages with R. While that may sound scary because of the words “web pages”, it’s geared...

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The Annual Japanese R user conference “Japan.R 2015”

December 6, 2015
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The Annual Japanese R user conference “Japan.R 2015”

The annual Japanese R user conference “Japan.R” was held in Dec 5th, 2015 at Recuit Ginza 8 Bldg and attended by more than 200 R users. In this post, I will share some presentations in English. Talk sessions Machine Learning…Read more ›

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My First (R) Shiny App: An Annotated Tutorial

December 5, 2015
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My First (R) Shiny App: An Annotated Tutorial

I’ve been meaning to learn Shiny for 2 years now… and thanks to a fortuitous email from @ImADataGuy this morning and a burst of wild coding energy about 5 hours ago, I

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Microsoft’s new Data Science Virtual Machine

December 4, 2015
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Earlier this week, Andrie showed you how to set up and provision your own virtual machine (VM) to run R and RStudio in Azure. Another option is to use the new Microsoft Data Science Virtual Machine, a pre-configured instance that includes a suite of tools useful to data scientists, including: Revolution R Open (performance-enhanced R) Anaconda Python Visual Studio...

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