1862 search results for "RStudio"

MRAN’s Packages Spotlight

July 30, 2015
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MRAN’s Packages Spotlight

by Joseph Rickert New R packages just keep coming. The following plot, constructed with information from the monthly files on Dirk Eddelbuettel's CRANberries site, shows a plot of the number of new packages released to CRAN between January 1, 2013 and July 27, 2015 by month (not quite 31 months). This is amazing growth! The mean rate is about...

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Mapping the past and the future with Leaflet

July 29, 2015
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Mapping the past and the future with Leaflet

I have been working on mapping things for a while and I must say that I really like the Leaflet package from Rstudio. It makes it very easy and straight forward to make leaflet maps. A while back I stumbled upon an interactive graphic from The Times, that used census data to compare each US... Read more »

A Dashboard Implementation Of Clustering App

July 28, 2015
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A Dashboard Implementation Of Clustering App

Background I previously built an interactive, online App using Shiny where you can upload your own data, perform basic clustering analysis, and view correlations in a heatmap. I wrote about this in my last post. While this worked, it was very ugly and needed a face lift. With the help of a friend, I implemented a dashboard...

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Goals for the New R Consortium

July 28, 2015
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Goals for the New R Consortium

by Bob Muenchen The recently-created R Consortium consists of companies that are deeply involved in R such as RStudio, Microsoft/Revolution Analytics, Tibco, and others. The Consortium’s goals include advancing R’s worldwide promotion and support, encouraging user adoption, and improving documentation … Continue reading →

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Modelling Occurence of Events, with some Exposure

July 28, 2015
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Modelling Occurence of Events, with some Exposure

This afternoon, an interesting point was raised, and I wanted to get back on it (since I did publish a post on that same topic a long time ago). How can we adapt a logistic regression when all the observations do not have the same exposure. Here the model is the following: , the occurence of an event  on the period ...

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The complete catalog of argument variations of select() in dplyr

July 28, 2015
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When I read the dplyr vignette, I found a convenient way to select sequential columns such as select(data, year:day). Because I had inputted only column names to select() function, I was deeply affected by the convenient way. On closer inspection, I found that the select() function accepts many types of input. Here, I will enumerate the variety...

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Notes from the 3rd R in Insurance Conference

July 28, 2015
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Notes from the 3rd R in Insurance Conference

Photo: Arthur CharpentierThe R in Insurance conference in Amsterdam was a sold out success! Congratulations to the organising committee at the University of Amsterdam, and many thanks to our sponsors:Milliman, RStudio, CYBAEA, Deloitte, a.s.r., Triple ...

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Hadley Wickham on why he created all those R packages

July 27, 2015
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Hadley Wickham on why he created all those R packages

Priceonomics published on Friday an in-depth profile of Hadley Wickham, author of many of the most popular R packages including ggplot2, dplyr and devtools. In the article, he reveals that his motivation for creating these packages was primarily to provide better ways of accomplishing routine tasks in R, an immensely useful contribution that sadly wasn't recognized in an academic...

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Evading the “Hadley tax”: Faster Travis tests for R

July 26, 2015
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Evading the “Hadley tax”: Faster Travis tests for R

Hadley is a popular figure, and rightly so as he successfully introduced many newcomers to the wonders offered by R. His approach strikes some of us old greybeards as wrong---I particularly take exception with some of his writing which frequently portrays a particular approach as both the best and only one. Real programming, I think, is...

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mapView: basic interactive viewing of spatial data in R

July 24, 2015
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mapView: basic interactive viewing of spatial data in R

Working with spatial data in R I find myself quite often in the need to quickly visually check whether a certain analysis has produced reasonable results. There are two ways I usually do this. Either I: (sp)plot the data in … Continue reading →

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