Publications by Joseph Rickert
Some Impressions from R Finance 2015
by Joseph Rickert The R/Finance 2015 Conference wrapped up last Saturday at UIC. It has been seven years already, but R/Finance still has the magic! – mostly very high quality presentations and the opportunity to interact and talk shop with some of the most accomplished R developers, financial modelers and even a few industry legends such a...
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R User Groups are Everywhere
by Joseph Rickert In a little over three weeks useR! 2015 will convene in Aalborg, Denmark and I am looking forward to being there and learning and talking about R user groups. The following map shows the big picture for R User Groups around the world. However, it is very difficult to keep it up to date. Just after the map “went to press” I ...
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Pairwise-complete correlation considered dangerous
by B. W. Lewis This note warns about potentially misleading results when using the use=pairwise.complete.obs and related options in R’s cor and cov functions. Pitfalls are illustrated using a very simple pathological example followed by a brief list of alternative ways to deal with missing data and some references about them. Known unknowns R ...
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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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