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plyr

Tools for splitting, applying and combining data
Hadley Wickham <h.wickham@gmail.com>
MIT
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 1.8 1 year 42 weeks ago
plyr 1.7.1 2 years 37 weeks ago
plyr 1.6 3 years 9 weeks ago
plyr 1.5.2 3 years 22 weeks ago
plyr 1.5.1 3 years 24 weeks ago
plyr 1.5 3 years 24 weeks ago
plyr 1.4.1 3 years 25 weeks ago
plyr 1.4 3 years 38 weeks ago
plyr 1.2.1 4 years 2 weeks ago
plyr 1.1 4 years 9 weeks ago
Reviews
let me chart the course of my plyr journey. first i discover the elegance of ddply for summary statistics, recoding and reshaping data. then i discover the use of dlply, llply, and ldply in fitting...
5
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...
5
The possibility to easily subset dataframes while calculating all sorts of summaries saves lot's of time and trouble.
5
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...
4
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...
5
4.39439
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4.069285
Your rating: None Documentation: 4.1 (1299 votes)