similar to: R-beta: ps-graph in R and S confirmation

I am creating postscript-graphics in R. When I import them into a LATEX document it is impossible to get the caption close to the figure. I run the same program in Splus, and no problem of getting the caption just below the figure. Another thing, the ps file that S created is only 10% of the size of the file that R created. What is wrong? Are there some parameters to be set? Helgi

To R-users I have been using R for many years and I am very happy with it. One thing puzzles me. Graphic postscript files tend to become quite big, much bigger than corresponding splus postscript files. Does anybody have a hint to avoid this? best regards Helgi -- Helgi Tomasson FAX: 354-552-6806 University of Iceland

In version 0.9 I ran a command file of 489 lines with source(" ") In version 1.0 I do the same and get Error in parse(file, n, text, prompt) : unable to open file for parsing This has something to do with the length of the command file. If I paste the individual lines into R it is OK, if I only use few lines of the code is is OK as well. The problem is affected by

I have a small problem. I am running glm() in R-0.61.0 on Redhat 4.2. I want to get the standard errors from the output. If I do out <- glm(....) summary(out) I get the coefficients printed as well as their correlation matrix. If I do out$coefficients I get the coefficients out$fitted gives me the fitted values I can then assign the fitted values or the value of the estimated

To R-people I recently downloaded an rpm for suse-linux of R-1.0 for suse 6.3. There plot(tx,spax,type='l',ylim=range(ytx),ylab="",xlab="",xaxt="n",yaxt="n") does not seem to supress printing on the axis. The same statement seemed to work well in R-0.9 on a redhat 5.2 (compiled by myself). Has anyone had the same experience? regards Helgi

Dear R-people Does someone have a routine to ngenerate inverse-gaussian random numbers. I am thinking of something similar to rinvgauss, pinvgauss etc. in S-plus. best regards Helgi -- Helgi Tomasson FAX: 354-552-6806 University of Iceland PHONE:354-525-4571 Faculty of Economics and Business Administration

I just compiled R-1.1.0 on two systems, redhat 5.2 (sparse) and suse 6.3 (loaded) . On redhad I got x11 support yes on suse I got x11support no. I cannot figure out the difference ./configure gives in both cases Source directory: . Installation directory: /usr/local C compiler: gcc -mieee-fp -D__NO_MATH_INLINES -g -O2 FORTRAN compiler: g77 -g -O2 X11

I am trying to install a redhat binary. When I do rpm -i name-of-rpm file I get R-061 needs @PERL@ and R-061 needs /usr/bin/perl, /bin/perl /sh and /bin/sh What is @PERL@? I have perl installed in /usr/bin. If I run control-panel I get "missing" in the problem column. Does anyone know what the problem is? HT -- Helgi Tomasson FAX:

Dear R-users Do you know of an easy way in R of performing "isotonic (unimodal)" regression ala BBBB, Barlow, Bartolomew, Brenner and Brunk. best regards Helgi -- Helgi Tomasson FAX: 354-552-6806 University of Iceland PHONE:354-525-4571 Faculty of Economics and Business Administration email:helgito at

Has R been ported to 64-bit platforms? E.g. as in FORTRAN when you define double precision number as: REAL*16 I have heard that some SUN computers already offer 64-bit architecture but I am unsure about the GNU support for that hardware. I am seeking increased accuracy in floating point operations. regards Helgi -- Helgi Tomasson FAX: 354-552-6806

Hi, I want to assign the ar1 , ma 1 and the intercept estimated by the following<http://r.789695.n4.nabble.com/assign-estimated-values-td4658138.html#>code to three variables a, b and c respectively. Can anyone help me with this please? code: a0 = 0.05; a1 = 0.1; b1 = 0.85 nu = rnorm(2500) epsi = rep(0, 2500) h = rep(0, 2500) for (i in 2: 2500) { h[i] = a0 + a1 * epsi[i-1]^2 + b1 * h[i-1]

>R INSTALL dse rlibs >Installing package `dse' ... >libs >gcc -g -fpic -I/usr/local/R-0.61/include -c dsefor.c -o dsefor.o >/tmp/cca02533.i:1: numeric constant with no digits >/tmp/cca02533.i:1: numeric constant with no digits >... >is there something wrong with my gcc or is there some >option missing somewhere? >I suspect the problem might have to do with

>R INSTALL dse rlibs >Installing package `dse' ... >libs >gcc -g -fpic -I/usr/local/R-0.61/include -c dsefor.c -o dsefor.o >/tmp/cca02533.i:1: numeric constant with no digits >/tmp/cca02533.i:1: numeric constant with no digits >... >is there something wrong with my gcc or is there some >option missing somewhere? >I suspect the problem might have to do with

I'm an experimental psychologist and when I run ANOVA analysis in SPSS, I normally ask for a test of non-sphericity (Box's M-test). I also ask for output of the corrections for non-sphericity, such as Greenhouse-Geisser and Huhn-Feldt. These tests and correction factors are commonly used in the journals for experimental and other psychology reports. I have been switching from SPSS to R

Forwarded Message: > To: Joel West <MacStats at mac.com> > From: Prof Brian D Ripley <ripley at stats.ox.ac.uk> > Subject: Re: [R] Exporting graphics to PS or EPS > Date: Sun, 20 Aug 2000 08:03:26 +0100 (BST) > ----- > On Sat, 19 Aug 2000, Joel West wrote: > > > On Fri, 18 Aug 2000 07:49:44 +0100, Brian D Ripley <ripley at stats.ox.ac.uk> wrote:

Hi, My name is Curtis and I'm a 1st year student in Biochemistry at the University of Geneva. I need some help completing the code for my NEWTON ALGORITHM. It is a bonus exercice to our autumn semester maths exam and we can hand it in or not. Usually people copy and paste but I decided to sit down and review theory and ask for help left right and center. My problem is that I cannot get my

Hi, I'm still not quite there with my H-F (G-G) correction code. I have it working for the main effects, but I just can't figure out how to do it for the effect interactions. The thing I really don't know (and can't find anything about) is how to calculate the covariance matrix for the interaction between the two (or even n) main factors. I've looked through some books

Hi, I'm still not quite there with my H-F (G-G) correction code. I have it working for the main effects, but I just can't figure out how to do it for the effect interactions. The thing I really don't know (and can't find anything about) is how to calculate the covariance matrix for the interaction between the two (or even n) main factors. I've looked through some books

How exactly to use the tag "Obsoletes:" in a spec file ? I need to offer texlive to users on Centos-5.6, so I packaged it (based on a Mandriva src.rpm), and that works. But I want rpm to *replace* tetex by texlive, instead of just adding texlive, when users do a : $ yum install texlive (we have a local repo here). So I added this line in texlive.spec : Obsoletes: tetex and of

To the plot experts: when creating a plot containing different lines, each with a special line type, it may happen that the result of 'postscript()' is not readable by ghostview (which may not be an R error, thus not bug report ;-). This is the case when mixing lty as 0:6 and character or even when using lty as character only. Example: postscript("test.ps") plot(1:10,