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2022-05-28Update to 1.8.7wen1-2/+2
Upstream changes: plyr 1.8.7 Update so R CMD check passes cleanly in future R-devel.
2020-07-31R-plyr: update to 1.8.6.brook1-3/+2
2019-08-08Update all R packages to canonical form.brook1-6/+4
The canonical form [1] of an R package Makefile includes the following: - The first stanza includes R_PKGNAME, R_PKGVER, PKGREVISION (as needed), and CATEGORIES. - HOMEPAGE is not present but defined in math/R/Makefile.extension to refer to the CRAN web page describing the package. Other relevant web pages are often linked from there via the URL field. This updates all current R packages to this form, which will make regular updates _much_ easier, especially using pkgtools/R2pkg. [1] http://mail-index.netbsd.org/tech-pkg/2019/08/02/msg021711.html
2019-07-31R-plyr: update to canonical form of an R package.brook1-2/+2
2018-07-28Remove MASTER_SITES= from individual R package Makefiles.brook1-2/+1
Each R package should include ../../math/R/Makefile.extension, which also defines MASTER_SITES. Consequently, it is redundant for the individual packages to do the same. Package-specific definitions also prevent redefining MASTER_SITES in a single common place.
2018-01-25math/R-plyr: Update to 1.8.4minskim1-2/+2
Changes: - Update so R CMD check passes cleanly on R and R-devel.
2016-04-09Update to 1.8.3wen1-3/+3
Upstream changes: Version 1.8.3 Revert to C version of loop_apply() as Rcpp version was appears to be having PROTECTion problems. (Also fixes #256)
2015-05-31Update to 1.8.2wen1-2/+2
No Upstream changelog found.
2014-09-19Fix dependency on R-Rcpp, which was moved from math/R-Rcpp to devel/R-Rcpp.brook1-2/+2
Note: this commit is part of reorganizing some of the recently imported R packages, which are being reimported into more appropriate categories (and removed from math) as a result of a recent discussion on tech-pkg and privately with wiz@. See the thread starting with: http://mail-index.netbsd.org/tech-pkg/2014/09/05/msg013558.html
2014-08-26Update to plyr v1.8.1.brook1-2/+5
2013-08-15Imported R-plyr as math/R-plyr.wen1-0/+15
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).