Hi All— I am often working with large datasets with multiple variables (integer, decimal, string, complex, date, and time) that require processing, cleaning, etc. I am relatively new to R and I would like to get some input on the following issue: I am trying to figure out which R-package(s) is most suitable for my work. I looked into data.table and dplyr. Both are very good but I found out that data.table does not handle time data well (one has to use fast time package) and not sure whether dplyr does the same or not. I am not sure about their handling of other variables listed above. I like data.table.
The questions: (1) which package should I invest on learning and how to deal with issue like time data and possibly other variables such complex numbers, date, etc.? (2) What is the “best” practical solution for such issue? Thanks in advance, EKE [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.