similar to: isotonic regression

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

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

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

> > On Sat, 25 Apr 1998, Helgi Tomasson wrote: > > > 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

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

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

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:

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

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

Well, I could argue that it's not *completely* OT since my question is motivated by an enquiry that I received in respect of a CRAN package "Iso" that I wrote and maintain. The question is this: Given observations y_1, ..., y_n, what is the solution to the problem: minimise \sum_{i=1}^n (y_i - y_i^*)^2 with respect to y_1^*, ..., y_n^* subject to the "isotonic"

dear R-help: one of my students is struggling to test an ordered alternative hypothesis on a set of groups (e.g., mu_a <= mu_b <= mu_c). There has been some literature on this topic -- a lot of this goes back to Bartholomew (1961); Gaines and Rice (see refs below) are the ones who've popularized it in the ecology community. The topic is closely related to isotonic regression, but

Hi, Has anyone written code for isotonic regression on ordered rectangular grids? Nathan Nathan Leon Pace, MD, MStat University of Utah Salt Lake City, UT 84132 Office: 801.581.6393 Fax: 801.581.4367 Cell: 801.558.3987 Pager: 801.291.9019 Home: 801.467.2925 [[alternative text/enriched version deleted]]

>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

Hello list, my name is Steven and of course: I got a problem... we are using dovecot 0.99 because it?s the actual stable version for RedHat 4 Enterprise. I am trying to authenticate using "PLAIN" but I don?t know how. that?s what I am doing: telnet conny.MYDOMAIN.de 143 Trying IP.AD.RE.SS... Connected to conny.MYDOMAIN.de. Escape character is '^]'. * OK dovecot ready. a1

Dear All, A method for the estimation is univariate unimodal densities (with unknown mode) is described in "Statistical Inference under Order Restrictions" by Barlow et al.. Would anyone know whether there is an R-implementation (preferably with reference) for the estimation of univariate discrete unimodal densities (with unknown mode)? Thanks in advance for your help. Kind

Hi All, I need some help with the package 'isotone'? I have a big matrix (long) and I want to apply 'lsSolver' possibly with 'activeSet' to each row of the matrix. The plan is to use function 'apply', I tried several ways, but didn't work. Not sure if the FUN is activeSet or lsSolver. If I use the loop, then it works, but very slow. for (i in 1:N) {

Hello I am looking for a function to create an Integrated (I) spline basis, somehting similar to the likes of 'bs' and 'ns'. I have come across the funcitons, fda::eval.monfd Values of a Monotone Functional Data Object fda::/.fd FDA internal functions fda::monfn Evaluates a monotone function fda::smooth.monotone Monotone

Binary distributions of R-0.49 for NEXTSTEP (Intel and M68k) are now available on CRAN: http://www.ci.tuwien.ac.at/R/bin/i386-nextstep/R.0.49.I.b.tar.gz http://www.ci.tuwien.ac.at/R/bin/m68k-nextstep/R.0.49.N.b.tar.gz Because NEXTSTEP doesn't support dynamic loading, I've compiled in a number of additional functions (mostly from the user contributed section of CRAN) which I find