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plyr  

Tools for Splitting, Applying and Combining Data
View on CRAN: Click here


Download and install plyr package within the R console
Install from CRAN:
install.packages("plyr")

Install from Github:
library("remotes")
install_github("cran/plyr")

Install by package version:
library("remotes")
install_version("plyr", "1.8.9")



Attach the package and use:
library("plyr")
Maintained by
Hadley Wickham
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2008-10-08
Latest Update: 2022-11-11
Description:
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 piece 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 'Becton Dickinson'.
How to cite:
Hadley Wickham (2008). plyr: Tools for Splitting, Applying and Combining Data. R package version 1.8.9, https://cran.r-project.org/web/packages/plyr
Previous versions and publish date:
0.1.1 (2008-10-08 17:43), 0.1.2 (2008-11-18 08:56), 0.1.3 (2008-11-19 16:58), 0.1.4 (2008-12-13 11:30), 0.1.5 (2009-02-24 08:37), 0.1.6 (2009-04-15 15:50), 0.1.7 (2009-04-15 22:41), 0.1.8 (2009-04-21 08:57), 0.1.9 (2009-06-23 15:20), 0.1 (2008-09-30 09:29), 1.0.1 (2010-07-06 14:50), 1.0.2 (2010-07-06 20:49), 1.0.3 (2010-07-07 08:04), 1.0 (2010-07-05 20:25), 1.1 (2010-07-24 22:42), 1.2.1 (2010-09-11 11:12), 1.2 (2010-09-10 09:28), 1.4.1 (2011-04-05 15:24), 1.4 (2011-01-04 08:29), 1.5.1 (2011-04-13 16:24), 1.5.2 (2011-04-24 08:57), 1.5 (2011-04-10 21:27), 1.6 (2011-07-29 16:32), 1.7.1 (2012-01-08 15:36), 1.7 (2011-12-30 12:23), 1.8.1 (2014-02-26 17:25), 1.8.2 (2015-04-21 11:41), 1.8.3 (2015-06-12 11:05), 1.8.4 (2016-06-08 10:40), 1.8.5 (2019-12-10 12:30), 1.8.6 (2020-03-03 15:40), 1.8.7 (2022-03-24 22:50), 1.8.8 (2022-11-11 21:50), 1.8 (2012-12-06 08:59)
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