similar to: Subject: Milestone: 10000 packages on CRAN

CRAN reached 12,000 packages [1] today (December 15, 2017). A huge thank you to the CRAN team! Milestones: 2017-12-15 12000 pkgs (+6.1/day over 165 days) 6910 mnts (+3.2/day) 2017-07-04 11000 pkgs (+6.3/day over 159 days) 6377 mnts (+3.3/day) 2017-01-27 10000 pkgs (+6.3/day over 158 days) 5845 mnts (+3.5/day) 2016-08-22 9000 pkgs (+5.7/day over 175 days) 5289 mnts (+5.8/day) 2016-02-29 8000

Hi, Short answer: import 'as.matrix' and export your method(s) for it. From WRE: "All S4 classes to be used outside the package need to be listed in an exportClasses directive. Alternatively, they can be specified using exportClassPattern.(46) in the same style as for exportPattern. To export methods for generics from other packages an exportMethods directive can be used."

Georgi, Brilliant, thank you very much for the helpful reply and explanation! I added 'importFrom("Matrix","as.matrix")' to my NAMESPACE and all worked fine! As my 'as.matrix' method is used entirely internally to the 'testmat' function (and not "used outside the package"), I don't think I actually need to export it. In my case, testmat is

An additional 1000 packages have been added to CRAN. This time, it took less than 6 months. Today (August 22, 2016), the Comprehensive R Archive Network (CRAN) [1] reports: ?Currently, the CRAN package repository features 9004 available packages.? The rate with which new packages are added to CRAN is increasing. During 2007-2009 we went from 1000 to 2000 packages in 906 days (1.1 per day) and

The entirety of humanity lives a little better today, because of problems solved using CRAN software. Some of those problems would still await solution, because some of the people involved in developing and disseminating those solutions would not have been as effective or efficient without CRAN and R. We're not just laying brick: We're building a cathedral. Spencer

Another 1000 packages were added to CRAN, which took less than 7 months. Today (February 29, 2017), the Comprehensive R Archive Network (CRAN) [1] reports: ?Currently, the CRAN package repository features 8002 available packages.? The rate with which new packages are added to CRAN is increasing. In 2014-2015 we had 1000 packages added to CRAN in 355 days (2.8 per day), the following 1000

Hear! Hear! +100 for the shout out to the CRAN volunteers. Some of the most unsung heroes of the R universe. On Mon, Aug 22, 2016 at 5:16 AM, Henrik Bengtsson < henrik.bengtsson at gmail.com> wrote: > An additional 1000 packages have been added to CRAN. This time, it > took less than 6 months. Today (August 22, 2016), the Comprehensive R > Archive Network (CRAN) [1] reports: >

Thank you very much, Henrik, for maintaining this list -- it's always a pleasure to see the ever growing number of useful R packages! I decided a few times in the past to extend your research with the list of archived packages, but did not actually start coding -- until tonight: https://gist.github.com/daroczig/3cf06d6db4be2bbe3368 (this includes the a CSV with 9K rows, so might be slow to

Here we go again... Today (2011-11-08) on The Comprehensive R Archive Network (CRAN) [1]: "Currently, the CRAN package repository features 5001 available packages." Going from 4000 to 5000 packages took 14.5 months - that's one new package every 10.5 hours. Behind every package there are real people. These user-contributed packages are maintained by ~2900 people [2] - that's

Another 1000 packages were added to CRAN and this time in less than 12 months. Today (2014-10-29) on The Comprehensive R Archive Network (CRAN) [1]: "Currently, the CRAN package repository features 6000 available packages." Going from 5000 to 6000 packages took 355 days - which means that it's on average was only ~8.5 hours between each new packages added. It is actually even be

Today (2012-08-23) on CRAN [1]: "Currently, the CRAN package repository features 4001 available packages." These packages are maintained by approximately 2350 different folks. Previous milestones: 2011-05-12: 3,000 packages [1] 2009-10-04: 2,000 packages [2] 2007-04-12: 1,000 packages [3] 2004-10-01: 500 packages [4] 2003-04-01: 250 packages [4] [1]

So, it's time again. Today (2011-05-12) on CRAN [1]: "Currently, the CRAN package repository features 3000 available packages." Previous milestones: 2009-10-04: 2,000 packages [2] 2007-04-12: 1,000 packages [3] 2004-10-01: 500 packages [4] 2003-04-01: 250 packages [4] [1] http://cran.r-project.org/web/packages/ [2]

Hi all, Wondering how to setup my view and controller to do something similar to the form on Basecamp that allows adding up to 10 milestones on one page. Thanks Phil -- Posted via http://www.ruby-forum.com/.

Back in 2010 I raised this issue, and there was some discussion, https://stat.ethz.ch/pipermail/r-devel/2010-November/058987.html The goal, then, as now is to have a way to produce a bibtex-clean .bib file (i.e., not requiring manual editing except in unusual circumstances) reflecting installed packages for use in writing where one often needs/wants to cite all packages used in a given

I always followed http://cran.r-project.org/bin/linux/ubuntu/ to install R on Ubuntu 8.1. I had no errors before! > install.packages("XML") Warning in install.packages("XML") : argument 'lib' is missing: using '/usr/local/lib/R/site-library' --- Please select a CRAN mirror for use in this session --- Loading Tcl/Tk interface ... done trying URL

See below. gs. Error in browse.pkgs("CRAN", "binary") : couldn't find function "avaliable.packages" Your version of R is up to date > browse.pkgs function (repos = getOption("repos"), contriburl = contrib.url(repos, type), type = getOption("pkgType")) { if (.Platform$GUI != "AQUA") stop("this function

Hello, when trying to write an R-file, which automatically installs and updates a given list of packages, I had two problems with install.packages() 1) install.packages("<package>") will install <package>, no matter if <package> has already been installed. 2) the readline() at the end of install.packages, which asks the user, if the downloaded files should be

I realize that others have struggled with this issue...i.e. http://tolstoy.newcastle.edu.au/~rking/R/help/05/01/9826.html i am on os.x 10.4 w/ R2.2, and am (perhaps foolishly) also on this quest... i would like to be able to install downloaded source (tar.gz'd) files from within an R session, and have it work in a X-platform way..i am often not connected to the internet and have libraries

Neither biocLite nor the GUI menus can install packages on my system. Here is relevant output: > version _ platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 2 minor 11.1 year 2010 month 05 day 31 svn rev 52157 language R version.string R version 2.11.1 (2010-05-31) > source("http://bioconductor.org/biocLite.R") BioC_mirror =

Recently Brian Ripley had occasion to mock my inability to see a comment in the code for arima(), in the stats package. After considerable dredging around in the r-news archives I found reference to keep.source() and keep.source.pkgs(), which I conjectured just ***might*** possibly be the ``obvious'' resource to which Prof. Ripley thought I ought to have resorted. However, after