data.table
Extension of data.frame for fast indexing, fast ordered joins, fast assignment, fast grouping and list columns.
GPL (>= 2)
Enhanced data.frame. Fast indexing, fast ordered joins, fast assignment, fast grouping and list columns in a short and flexible syntax. i and j may be expressions of column names directly, for faster development. Example: X[Y] is a fast join for large data.
Versions
| Package | Version | Released |
|---|---|---|
| data.table | 1.8.0 | 8 weeks 1 day ago |
| data.table | 1.7.9 | 16 weeks 16 hours ago |
| data.table | 1.7.8 | 16 weeks 6 days ago |
| data.table | 1.7.7 | 22 weeks 5 days ago |
| data.table | 1.7.4 | 25 weeks 17 hours ago |
| data.table | 1.7.3 | 25 weeks 4 days ago |
| data.table | 1.7.2 | 28 weeks 1 day ago |
| data.table | 1.7.10 | 15 weeks 15 hours ago |
| data.table | 1.7.1 | 30 weeks 3 days ago |
| data.table | 1.6.6 | 38 weeks 5 days ago |
Reviews
data.table not only speeds up operations, it also speeds up programming. It is much easier to subset, summarize, and investigate data.tables at the command line because of the simplified syntax....
I think this library is essential for data mining algorithms in R, in order to reduce the processing time with huge data.frame!
data.table is a perfect combination of useability and speed. The query syntax is very intuitive, the printing is smart, and the performance is much better than data.frame.
data.table provides SQL-...
data.table is a perfect combination of useability and speed. The query syntax is very intuitive, the printing is smart, and the performance is much better than data.frame.
data.table provides SQL-...
This package does exactly what it promises: high speed with the ability to write elegant code and focus on the task at hand.
I'm amazed how so much can get done in so few lines of code. I can...
As statistician, i think this package is very useful to work with big dataframe! You can work in a very intuitive way, without knowing SQL ....
Thanks to the developers!
I wrote the following response to a question on R-help. It compares the speed of data.table to ave and ddply:
It is part of this R-help thread:
http://www.mail-archive.com/r-help@r-project.org/...
data.table rocks!
I started to use it on a regular basis recently and I managed to cut computing time dramatically. I'm now running much larger simulations in less time. For large datasets this is definitely a...
I found this package right after I was working with data frames large enough that many summaries were taking 30-60 seconds each. The use of data.table cut this down to about 1 second. I now consider...
(1533 votes)
(1184 votes)