plyr
plyr is a set of tools that solves a common set of problems: you need to break a big problem down into manageable pieces, operate on each pieces and then put all the pieces back together. For example, you might want to fit a model to each spatial location or time point in your study, summarise data by panels or collapse high-dimensional arrays to simpler summary statistics. The development of plyr has been generously supported by BD (Becton Dickinson).
Versions
| Package | Version | Released |
|---|---|---|
| plyr | 1.7.1 | 18 weeks 4 days ago |
| plyr | 1.6 | 41 weeks 6 days ago |
| plyr | 1.5.2 | 1 year 3 weeks ago |
| plyr | 1.5.1 | 1 year 5 weeks ago |
| plyr | 1.5 | 1 year 5 weeks ago |
| plyr | 1.4.1 | 1 year 6 weeks ago |
| plyr | 1.4 | 1 year 19 weeks ago |
| plyr | 1.2.1 | 1 year 35 weeks ago |
| plyr | 1.1 | 1 year 42 weeks ago |
| plyr | 1.0.3 | 1 year 45 weeks ago |
Reviews
let me chart the course of my plyr journey. first i discover the elegance of ddply for summary statistcs, recoding and reshaping data. then i discover the use of dlply, llply, and ldply in fitting...
let me chart the course of my plyr journey. first i discover the elegance of ddply for summary statistcs, recoding and reshaping data. then i discover the use of dlply, llply, and ldply in fitting...
The possibility to easily subset dataframes while calculating all sorts of summaries saves lot's of time and trouble.
Plyr is an incredibly useful package, greatly simplifing the split-compute-combine process on data frames and other structure. However, due in part to limitations in the design of R, it's not...
like sql it provides constructs to manipulate data functionally and using intuitive and flexible plyr's
great thought has been put into it,
as an ex-excel user it has been a revelation...
(1306 votes)
(712 votes)