Publications by Joseph Rickert
Fishing for packages in CRAN
by Joseph Rickert It is incredibly challenging to keep up to date with R packages. As of today (6/16/15), there are 6,789 listed on CRAN. Of course, the CRAN Task Views are probably the best resource for finding what's out there. A tremendous amount of work goes into maintaining and curating these pages and we should all be grateful for the ex...
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DeployR Data I/O
by Sean Wells, Senior Software Engineer, Microsoft and David Russell DeployR exists to solve a number of fundamental R analytics integration problems faced by application developers. For example, have you ever wondered how you might execute an R script from within a Web-based dashboard, an enterprise middleware solution, or a mobile application? ...
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Working with the RStudio CRAN logs
by Joseph Rickert The installr package has some really nice functions for working with the daily package download logs for the RStudio CRAN mirror which RStudio graciously makes available at http://cran-logs.rstudio.com/. The following code uses the download_RStudio_CRAN_data() function to download a month's worth of .gz compressed daily log...
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Get your R education going with GitHub
by Joseph Rickert Last week, I was fortunate enough to attend the R Summit & Workshop, an invitation only event, held at the Copenhagen Business School. The abstracts for the public talks presented are online and well worth a look. Collectively they provide a snapshot of the state of development of R and the R Community as well some insight into...
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5 Steps to Create an R Package Email Course
by Ari Lamstein, Software Engineer and Data Analyst Creating an email course for my R packages has significantly increased the number of people who use the packages. It has also reduced the learning curve for the packages and brought me into greater contact with my users. In this post I will share the 5 steps I took to create my course Learn to M...
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R, Extreme Value Statistics and Missing Data
by Joseph Rickert June was a hot month for extreme statistics and R. Not only did we close out the month with useR! 2015, but two small conferences in the middle of the month brought experts together from all over the world to discuss two very difficult areas of statistics that generate quite a bit of R code. The Extreme Value Analysis conference...
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Using Azure as an R datasource Part 3: Pulling data from MySQL/MariaDB to Linux
by Gregory VandenbrouckSoftware Engineer, Microsoft This post is the third in a series that covers pulling data from Microsoft SQL Server or MySQL/MariaDB on Azure to an R client on Windows or Linux. In the previous two, we covered pulling data from SQL Server and MySQL/MariaDB to an R client on Windows. This time we’ll be pulling data from MyS...
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Sunbelt XXXV, Social Network Analysis, Statnet and R
by Joseph Rickert The XXXV Sunbelt Conference of the International Network for Social Network Analysis (INSNA) was held last month at Brighton beach in the UK. (And I am still bummed out that I was not there.) A run of 35 conferences is impressive indeed, but the social network analysts have been at it for an even longer time than that: and ...
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Efficient Accumulation in R
by John MountData Scientist, Win-Vector LLC R has a number of very good packages for manipulating and aggregating data (plyr, sqldf, RevoScaleR, data.table, and more), but when it comes to accumulating results the beginning R user is often at sea. The R execution model is a bit exotic so many R users are very uncertain which methods of accumulati...
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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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