1412 search results for "RStudio"

A drat repository for rOpenSci

August 4, 2015
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We're happy to announce the launch of a CRAN-style repository for rOpenSci at http://packages.ropensci.org This repository contains the latest nightly builds from the master branch of all rOpenSci packages currently on GitHub. This allows users to install development versions of our software without specialized functions such as install_github(), allows dependencies not hosted on CRAN to still be resolved automatically, and...

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11 new R jobs (from R-users.com ; 2015-08-04)

August 3, 2015
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11 new R jobs (from R-users.com ; 2015-08-04)

This is the bimonthly post (for 2015-08-04) for new R Jobs from R-users.com. Employers: visit this link to post a new R job to the R community (it’s free and quick). Job seekers: please follow the links below to learn more and apply for your job of interest (or visit previous R jobs posts). Full-Time Data Scientist AWF Leading On Line company – Posted by Ortal Katsva Netanya Center District, Israel...

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Interview with a Data Scientist (Hadley Wickham)

August 2, 2015
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Interview with a Data Scientist (Hadley Wickham)

Originally posted on Models are illuminating and wrong:I recently interviewed Hadley Wickham the creator of Ggplot2 and a famous R Stats person. He works for RStudio and his job is to work on Open Source software aimed at Data Geeks. Hadley is famous for his contributions to Data Science tooling and inspires a lot…

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Playing with leafletR

August 2, 2015
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Coming back from a bicycle ride in Tarn, I wanted to have a look at the trip. This gave me the opportunity to learn how to use the R package leafletR to obtain an HTML map using leaflet and the great projects OpenStreetMap or Thunderforest (among others). Introduction To use leaflet over R, two packages

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Building a user interface for spatstat

July 30, 2015
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Building a user interface for spatstat

Contents Introduction Get and run it! Roadmap Introduction RStudio developed shiny, an R package that, quoting from their website, “makes it super simple for R users like you to turn analyses into interactive web applications that anyone can use”. It leverages the power of R and its vast collection of packages to allow users to efficiently perform...

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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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