mages' blog

Installing R 2.14.0 on an iBook G4 running Mac OS 10.4.11

My 12" iBook G4 is celebrating its 8th birthday today! Time for a little present. How about R 2.14.0?

The iBook is still in daily use, mostly for browsing the web, writing e-mails and this blog; and I still use it for R as well. For a long time it run R 2.10.1, the last PowerPC binary version available on CRAN for Mac OS 10.4.11 (Tiger).

But, R 2.10.1 is a bit dated by now and for the development of my googleVis package I require at least R 2.11.0. So I decided to try installing the most recent version from source, using Xcode 2.5 and TeXLive-2008.

R 2.14.0 is expected to be released on Monday (31st October 2011). The pre-release version is already available on CRAN. I assume that the pre-release version is pretty close to the final version of R 2.14.0, so why wait?

It was actually surprisingly easy to compile the command line version of R from sources. The GUI would be a nice to have, but I am perfectly happy to run R via the Terminal, xterm and Emacs. However, it shouldn't be a surprise that running configure, make, make install on a 800 Mhz G4 with 640MB memory does take its time.
Below you will find the building details. Please feel free to get in touch with me, if you would like access to my Apple Disk Image (dmg) file. You find my e-mail address in the maintainer field of the googleVis package.

Building R from source on Mac OS 10.4 with Xcode 2.5 (gcc-4.0.1)

Before you start, make sure you have all the Apple Developer Tools installed. I have Xcode installed in /Developer/Applications.

From the pre-release directory on CRAN I downloaded the file R-rc_2011-10-28_r57465.tar.gz.

After I downloaded the file I extracted the archive and run the configure scripts to build the various Makefiles. To do this, I opened the Terminal programme (it's in the Utilities folder of Applications), changed into the directory in which I stored the tar.gz-file and typed:

tar xvfz R-rc_2011-10-28_r57465.tar.gz
cd R-rc
./configure

This process took a little while (about 15 minutes) and at the end I received the following statement:

R is now configured for powerpc-apple-darwin8.11.0

  Source directory:          .
  Installation directory:    /Library/Frameworks

  C compiler:                gcc -std=gnu99  -g -O2
  Fortran 77 compiler:       gfortran  -g -O2

  C++ compiler:              g++  -g -O2
  Fortran 90/95 compiler:    gfortran -g -O2
  Obj-C compiler:            gcc -g -O2 -fobjc-exceptions

  Interfaces supported:      X11, aqua, tcltk
  External libraries:        readline, ICU
  Additional capabilities:   NLS
  Options enabled:           framework, shared BLAS, R profiling, Java

  Recommended packages:      yes

With all the relevant Makefiles in place I could start the build process via:

make -j8

Now I had time for a cup of tea, as the build took about one hour. Finally, to finish the installation, I placed the new R version into its place in /Library/Frameworks/ by typing:

sudo make install

Job done. Let's test it:

Grappa:~ Markus$ R

R version 2.14.0 RC (2011-10-28 r57465)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: powerpc-apple-darwin8.11.0 (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

  Natural language support but running in an English locale

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> for(i in 1:8) print("Happy birthday iBook!")
[1] "Happy birthday iBook!"
[1] "Happy birthday iBook!"
[1] "Happy birthday iBook!"
[1] "Happy birthday iBook!"
[1] "Happy birthday iBook!"
[1] "Happy birthday iBook!"
[1] "Happy birthday iBook!"
[1] "Happy birthday iBook!"

The installation of additional packages worked straightforward via install.packages(c("vector of packages")), though it took time, as everything was build from sources. This it what it looks like on my iBook G4 today:

> installed.packages()[,"Version"]
 ChainLadder GillespieSSA        Hmisc     ISOcodes   KernSmooth         MASS 
   "0.1.5-0"      "0.5-4"      "3.8-3" "2011.07.31"     "2.23-6"     "7.3-16" 
      Matrix  R.methodsS3         R.oo        R.rsp      R.utils RColorBrewer 
     "1.0-1"      "1.2.1"      "1.8.2"      "0.6.2"      "1.8.5"      "1.0-5" 
       RCurl      RJSONIO        RUnit         Rook          XML       actuar 
    "1.6-10"     "0.96-0"     "0.4.26"      "1.0-2"      "3.4-3"      "1.1-2" 
        base       bitops         boot         brew          car        class 
    "2.14.0"    "1.0-4.1"      "1.3-3"      "1.0-6"     "2.0-11"      "7.3-3" 
     cluster         coda    codetools         coin   colorspace     compiler 
    "1.14.1"     "0.14-4"      "0.2-8"     "1.0-20"      "1.1-0"     "2.14.0" 
  data.table     datasets       digest    flexclust      foreign          gam 
     "1.7.1"     "2.14.0"      "0.5.1"      "1.3-2"     "0.8-46"     "1.04.1" 
     ggplot2    googleVis    grDevices     graphics         grid    iterators 
     "0.8.9"     "0.2.10"     "2.14.0"     "2.14.0"     "2.14.0"      "1.0.5" 
   itertools      lattice       lmtest       mclust      methods         mgcv 
     "0.1-1"     "0.20-0"     "0.9-29"     "3.4.10"     "2.14.0"      "1.7-9" 
  modeltools      mvtnorm         nlme         nnet     parallel        party 
    "0.2-18"   "0.9-9991"    "3.1-102"      "7.3-1"     "2.14.0"  "0.9-99994" 
        plyr        proto         pscl      reshape        rpart     sandwich 
       "1.6"    "0.3-9.2"     "1.04.1"      "0.8.4"     "3.1-50"      "2.2-8" 
     spatial      splines      statmod        stats       stats4  strucchange 
     "7.3-3"     "2.14.0"     "1.4.13"     "2.14.0"     "2.14.0"      "1.4-6" 
    survival    systemfit        tcltk        tools        utils          vcd 
   "2.36-10"      "1.1-8"     "2.14.0"     "2.14.0"     "2.14.0"     "1.2-12" 
         zoo 
     "1.7-5" 

Update (3 June 2012)

Just updated my R installation to R-2.15.0 and the above procedure still worked. But I had to be patient. It took at least an hour to compile R and the core packages.

R version 2.15.0 Patched (2012-06-03 r59505) -- "Easter Beagle"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: powerpc-apple-darwin8.11.0 (32-bit)

Update (1 June 2013)

Just updated my R installation to R-3.0.1 and the above procedure still worked. The iBook will be 10 years old soon and is still going strong. Not bad for such an old laptop.

R version 3.0.1 (2013-05-16) -- "Good Sport"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: powerpc-apple-darwin8.11.0 (32-bit)

Using Sweave with XeLaTeX

Using R with LaTeX via Sweave is a great way to create reproducible output. However, using specific fonts, e.g. your corporate fonts, can be painful with pdflatex. Over the last few weeks I have fallen in love with the TeX format XeLaTeX and its XeTeX engine.

With XeLaTeX I had to overcome some hurdles, which I would like to share here:

• attaching files,
  
• trimming and clipping images,
  
• learning how to use the tikzDevice package.
  

The Sweave file of the above document is attached to the PDF-file itself, but you can also find it on github: SweaveXeLaTeXExample.Rnw.

R related books: Traditional vs online publishing

How many R related books have been published so far? Who is the most popular publisher? How many other manuals, tutorials and books have been published online? Let's find out.

A few years ago I used the publication list on r-project.org as an argument with the IT department that R is an established statistical programming language and that they should allow me to install it on my PC. I believe at the time there were about 20 R related books available.

A recent post on Recology pointed me to a talk given by Ed Goodwin at the Houston R user group meeting about regular expressions in R, something I always wanted to learn properly, but never got around to do.

So let's see, if we can manage to extract the information of published R books and texts from r-project.org, with what we learned from Ed about regular expressions in R.