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by Joseph Rickert

2015 has been a good year for R user groups, both in terms of activity and the number of new groups founded. The plot below which runs 12/30/2012 through the week beginning with Monday 11/23/2015 shows that the number of weekly meeting continues to drift up to the right. You can see the seasonal pattern of fewer meetings in the late summer and winter holiday season and increased activity in Autumn. We track weekly meetings in our Community Calendar.

David Smith's picture
November 26, 2015

Today is Thanksgiving Day in the United States, where the nation's citizens pause to reflect on what they are thankful for. I'd like to take this opportunity to give thanks to the members of the R Core Group who developed R, and continue to donate their time to help the community use R by improving R, writing documentation, maintaining the build systems on a huge number of platforms, maintaining the CRAN system and working with developers to approve packages, answering questions on mailing lists, and much much more.

by Andrie de Vries (@RevoAndrie)

I frequently get asked the question how you can safely store login details and passwords for use by R, without exposing these details in your script.  Yesterday Jennifer Bryan asked this question on twitter and a small storm of views and tweets erupted.

by Michael Helbraun

The software business includes travel, and that means hotels.  The news that Marriott was acquiring Starwood was of particular interest to me – especially since more than 75% of my 95 nights so far this year on the road have been spent with one of those two companies.

In the latest update released on November 20, PowerBI has added support for R. The desktop edition of Microsoft's data visualization and reporting tool now allows you to run an R script to generate data; the resulting data frames from the script can then be used for data visualization or any other activities within Power BI.

A few years ago, we shared a video on how the vertical scanning in digital cameras can distort fast-moving objects like fans and propellers. For example, the rotors in this digital photo of a drone are, in fact, perfectly straight:

Todd W Schneider analyzed a database of 1.1 billion taxi rides in New York City from 2009-2015, and discovered some interesting insights on how New Yorkers use cabs. For example, here's a map of the drop-off locations of each ride in the database:

by Andrie de Vries

We have written on several occasions about AzureML, the Microsoft machine learning studio that is part of the Cortana Analytics suite:

Bob Horton
Sr Data Scientist, Microsoft

Wikipedia describes Simpson’s paradox as “a trend that appears in different groups of data but disappears or reverses when these groups are combined.” Here is the figure from the top of that article (you can click on the image in Wikipedia then follow the “more details” link to find the R code used to generate it. There is a lot of R in Wikipedia).