This function will show which other packages depend on a particular package:
> dep <- function(pkg, AP = available.packages()) { + pkg <- paste("\\b", pkg, "\\b", sep = "") + cat("Depends:", rownames(AP)[grep(pkg, AP[, "Depends"])], "\n") + cat("Suggests:", rownames(AP)[grep(pkg, AP[, "Suggests"])], "\n") + } > dep("zoo") Depends: AER BootPR FinTS PerformanceAnalytics RBloomberg StreamMetabolism TSfame TShistQuote VhayuR dyn dynlm fda fxregime lmtest meboot party quantmod sandwich sde strucchange tripEstimation tseries xts Suggests: TSMySQL TSPostgreSQL TSSQLite TSdbi TSodbc UsingR Zelig gsubfn playwith pscl tframePlus On Sat, Mar 7, 2009 at 2:57 PM, Jeroen Ooms <j.c.l.o...@uu.nl> wrote: > > I would like to get some idea of which R-packages are popular, and what R is > used for in general. Are there any statistics available on which R packages > are downloaded often, or is there something like a package-survey? Something > similar to http://popcon.debian.org/ maybe? Any tips are welcome! > > ----- > Jeroen Ooms * Dept. of Methodology and Statistics * Utrecht University > > Visit http://www.jeroenooms.com www.jeroenooms.com to explore some of my > current projects. > > > > > > > -- > View this message in context: > http://www.nabble.com/popular-R-packages-tp22391260p22391260.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.