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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

by mziel 10y ago

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.

michaelsbradley 10y ago
data.table and dplyr take data frames up a notch! https://github.com/Rdatatable/data.table/wiki/Getting-started https://github.com/Rdatatable/data.table/wiki/Getting-starte... https://cran.rstudio.com/web/packages/dplyr/vignettes/introduction.html 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/ http://joshuaulrich.github.io/xts/