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Re:R Passes SAS in Scholarly Use by mziel on Thursday June 09, 2016 @01:50AM (#11867775)
I think R's data frames is by far the most intuitive abstraction. There's a reason why it was duplicated in Python, Spark or Julia. And R has a lot of utilities for converting input strings, dates, JSON etc.
Re:R Passes SAS in Scholarly Use by michaelsbradley on Thursday June 09, 2016 @02:05AM (#11867816)
data.table and dplyr take data frames up a notch!

https://github.com/Rdatatable/data.table/wiki/Getting-starte...

https://cran.rstudio.com/web/packages/dplyr/vignettes/introd...

xts is quite useful as well, when you need to do modeling/analysis in an especially time-oriented manner:

http://joshuaulrich.github.io/xts/