1866 search results for "RStudio"

An Integrated Shiny App for a Course on Repeated Measurements Analysis (completed)

March 18, 2016
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An Integrated Shiny App for a Course on Repeated Measurements Analysis (completed)

Repeated Measurements AnalysisRepeated measurements analysis, and in particular longitudinal data analysis, is one of the two most frequently used types of analysis in my field (Biostatistics) - the other being survival analysis. Starting from this yea...

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R in Insurance: Abstract submission closes end of March

March 18, 2016
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R in Insurance: Abstract submission closes end of March

Hurry! The abstract submission deadline for the 4th R in Insurance conference in London, 11 July 2015 is approaching soon. You have until the 28th of March to submit a one-page abstract for consideration. Both academic and practitioner proposals related to R are...

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rOpenSci geospatial libraries

March 17, 2016
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rOpenSci geospatial libraries

Geospatial data input/output, manipulation, and vizualization are tasks that are common to many disciplines. Thus, we're keenly interested in making great tools in this space. We have an increasing set of spatial tools, each of which we'll cover sparingly. See the cran and github badges for more information. We are not trying to replace the current R geospatial libraries -...

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taskscheduleR: R package to schedule R scripts with the Windows task manager

If you are working on a Windows computer and want to schedule your R scripts while you are off running, sleeping or having a coffee break, the taskscheduleR package might be what you are looking for.  The taskscheduleR R package is available at h...

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R Shiny leaflet: using observers

March 16, 2016
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R Shiny leaflet: using observers

Using leaflet in R is fairly simple and there are plenty of online resources and examples available already. See the RStudio tutorial to get started if you haven’t already. This post presents a series of examples which build upon each other. The code displays both point data and raster data on leaflet maps with Shiny

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Forecasts with ARIMA Models

March 16, 2016
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Forecasts with ARIMA Models

In our time series class this morning, I was discussing forecasts with ARIMA Models. Consider some simple stationnary AR(1) simulated time series > n=95 > set.seed(1) > E=rnorm(n) > X=rep(0,n) > phi=.85 > for(t in 2:n) X=phi*X+E > plot(X,type="l") If we fit an AR(1) model, > model=arima(X,order=c(1,0,0), + include.mean = FALSE) > P=predict(model,n.ahead=20) > plot(P$pred) > lines(P$pred+2*P$se,col="red") > lines(P$pred-2*P$se,col="red")...

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R based game “2048” with a simple API for ML benchmarking

March 16, 2016
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R based game “2048” with a simple API for ML benchmarking

For a long time I have been on the lookout for a ready-to-use R-based API for testing ML algorithms. My ideal “tool” would be an R-based API for the game “go” (“weiqi” in Chinese and “baduk” in  Korean), but I found none so far. Since writing a rules engine is quite time-consuming, I would not venture developing one until

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Spinning Cycles in Box #4 To Take the Pies out of Pi Day

March 14, 2016
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Spinning Cycles in Box #4 To Take the Pies out of Pi Day

I caught this tweet today: INSTEAD OF WORRYING ABOUT HOW OTHER DATA SCIENTISTS USE 🕒 PERHAPS @WSJGraphics COULD SPEND THEIR 🕒 LEARNING DATAVIZ pic.twitter.com/xrP2eUhaaQ— Metrics Hulk (@MetricsHulk) March 14, 2016 The WSJ folks usually do a great job, but this was either rushed or not completely thought through. There’s no way you’re going to be

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Microsoft R Server Now Available in the Cloud on Azure Marketplace

March 14, 2016
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Microsoft R Server Now Available in the Cloud on Azure Marketplace

by Richard Kittler, Microsoft R Server PM, Microsoft Advanced Analytics In January, Microsoft announced the re-branding of Revolution R Enterprise as Microsoft R Server, and the release of Microsoft R Server 2016 (aka 8.0). Highlights of what’s new in version 8.0 include an updated R engine (R 3.2.2), new fuzzy matching algorithms, the ability to write to databases via...

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SSH tunnels on Windows for R

March 14, 2016
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Recently I’ve had to get to grips with SSH tunnels. SSH tunnels are really useful for maintaining remote network integrity and work in a secure fashion. It is, however, a pain to open PuTTY and log in all the time, mainly because I couldn’t script it in R! It’s been a trial, but like most The post

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