I attended several talks about R at the Joint Statistics meetings and noted some interesting packages and other resources during these talks. I lost track of that list until recently, but they are still relevant, so here they are.

Data Science with R, Garrett Grolemund,<U+00A0>http://garrettgman.github.io

gitlab,<U+00A0>https://about.gitlab.com

profvis,<U+00A0>https://rstudio.github.io/profvis/

sparklyr,<U+00A0>http://spark.rstudio.com

readr,<U+00A0>http://blog.revolutionanalytics.com/2015/04/new-packages-for-reading-data-into-r-fast.html

purrr,<U+00A0>https://blog.rstudio.org/2015/09/29/purrr-0-1-0/

tibble,<U+00A0>https://blog.rstudio.org/2016/03/24/tibble-1-0-0/

haven,<U+00A0>https://www.r-bloggers.com/reading-spss-data-into-r-with-haven/

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