Hi all, Having a matrix A formed by n vectors as columns. Is there anything to calculate a determined function to all combination of vectors?
For example imagine A matrix is compose by vectors a, b and c. And the function to perform is correlation, so I would like to obtain cor(a, b), cor(a, c) and cor(b, c). I we had numbers instead of vector, the function is outer, but I am not able to apply it to vectors... Thanks a lot. P. > Date: Mon, 9 Feb 2009 08:37:06 -0800 > From: zzn...@gmail.com > To: r-help@r-project.org > Subject: Re: [R] installing R on Ubuntu > > On Mon, Feb 9, 2009 at 4:51 AM, Neil Shephard <nsheph...@gmail.com> wrote: > > > > The preceived "difficulty" of installing R under whatever flavour of > > GNU/Linux in this thread stems from being unfamiliar with the process of the > > package management of the flavour of GNU/Linux you use (and in part by the > > various distros not having the most recent version of R in their > > repositories. > > > > People who say "why can't it be as easy as dowloading a self-installing > > binary and running that" are trying to fit a round peg (their experience and > > understanding of how applications install in M$-windows) in a square hole > > (or triangular, hexagonal, or whatever depending on the distribution of > > GNU/Linux). > > This is true. However, for the most common Linux distros --Debian, Red > Hat Enterprise / CentOS / Scientific Linux / Fedora, openSUSE and > Ubuntu -- you can install the most recent R compiled for your distro > from > > http://<your-nearest-CRAN-mirror>/bin/linux/ > > In addition, most of the distros have third-party repositories where > you can find the latest version of R. In short, if you have an x86 or > x86_64/amd64 system running almost any Linux, you can find a > pre-compiled R. R is a popular package, and it's pretty easy to find > even for Power PC or some of the obscure architectures. > > > > > There are pro's and con's to each of the GNU/Linux flavours and its really a > > matter of deciding which you like/have invested time in learning. > > > > Irrespective its still simple to install R from source under GNU/Linux... > > > > 1) Download source tar-ball > > 2) Extract and cd to the directory > > 3) ./configure --prefix=/where/you/want/R/to/go (optionally setting the > > install path at this stage) > > 4) ./make > > 5) ./make install > > > > ...all documented in the FAQ at > > http://cran.r-project.org/doc/FAQ/R-FAQ.html#How-can-R-be-installed-_0028Unix_0029 > > Many Linux distros do *not* install the development tools by default, > and which ones live in which packages varies by distro. Fedora in > particular is extremely stripped when you install from the LiveCD. You > have to install gcc, make and a couple of other things just to install > VMware Tools, for example, when running Fedora as a VMware guest. For > building R from source and installing R packages, you'll also need to > install gfortran. And many libraries with external dependencies, like > Rgraphviz, will require not only the package itself (graphviz) but > also the C headers, which may have the name "graphviz-devel" on some > distros and some other name on other distros. > > > > This might not be as clean as using the native package management, but does > > mean that you'll have the latest version installed. > > > > Neil > > > > (Addendum - I've tried several different distros, starting with RedHat 7.3, > > then various versions of Slackware 8 through to 9 before settling on Gentoo, > > all were easy to install R in). > > I just recently switched from Gentoo to openSUSE. Gentoo usually had > the latest R source in their repository within a day or so of it > coming out of the R Project release cycle. To get it, all you needed > to do was put the package name in the "/etc/portage/package-keywords" > file. And Gentoo, since it is almost all compiled from source, by > nature *does* have all the development tools installed and installs > all the headers when it installs packages. > > -- > M. Edward (Ed) Borasky > > I've never met a happy clam. In fact, most of them were pretty steamed. > > ______________________________________________ > 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. _________________________________________________________________ [[alternative HTML version deleted]] ______________________________________________ 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.
