similar to: Survival and Hazard Analysis

Hi, I have been trying to dyn.load a library (rq.obj), which will allow me to run a quantile regression function, but so far unsuccessfully. I have tried under windows 98 and R 6.24: 1) dyn.load("d:\\...\\rq.obj") 2) dyn.load("d:\...\rq.obj") 3) 1 and 2 accounting for case sensitivity. 4) dyn.load("d:/.../rq.obj") 5) Place the files in the directory where from I

Hi, I would like to confirm w/ the other members if the function persp( ) has limitations such as not being able to label the axis... or, am I missing something? ?persp seems to indicate that's not available, but... Alvaro -- -- -- -- -- -- -- -- Alvaro A. Novo 2116 S. Orchard St., #304

Hi, I spotted an inconsistency between the output of funfits under R, more specifically "nnreg", and the one obtained under S-plus. Notice the difference in the "Root MSE", "GVC" and "GVC cost=2". As a check mark, I am also including the data summaries, confirming that I was in fact using the same data set. Here's my output from both systems:

I compiled R-1.2.2 on my SuSE 7.1, kernel 2.4.2-2 machine with libreadline.4.1 and although I can use vi commands to scroll on the shell (bash) command line, I CANNOT do it in R. Here's the relevant parts of ./configure (and make): anovo at friedman R-1.2.2 > ./configure | grep readline checking for rl_callback_read_char in -lreadline... yes checking for readline/history.h... yes

Hi, I'm struggling to compile R-0.90.1 in a RedHat 6.1 machine. (I have the rpm, but I would like to compile it, as I do under SuSE 6.3). I have also installed quite a few other libraries (not installed by default, in particular, *-devel-* ones), but to no avail thus far. Here's the compilation error after going through ./configure [root at friedman R-0.90.1]# make <snip>

Hi I always have following error message when I try to read a big ascii-file: > inzp<-read.data() > Error: heap memory (1953 Kb) exhausted [needed 0 Kb more] read.data() is a small function that reads the ascii-file. When I cut the ascii-file to a small one I don't have this problem. Can I extend this 'heap memory' for reading big data files? How? I'm working with R on a

I am trying to install R under Red Hat Linux 5.2, but the following error happens: [root at edgeworth cribari]# rpm -ivh R-base-0.63.2-1.i386.rpm failed dependencies: libncurses.so.3.0 is needed by R-base-0.63.2-1 I must be missing something very simple. I would appreciate any guidance. Thanks. FC. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help

Hi, I have always been wondering why S-Plus/R can not fit a linear model to an arbitrary large data set given that, I thought, it should be pretty straightforward. Sometime ago I came across a reference to LM package, http://www.econ.uiuc.edu/~anovo/LM.html, by Roger Koenker and Alvaro Novo. So I thought here it is at last, but to my surprise this project hasn't made to the recommended

From: "Wolfgang Koller" <koller2@fgr.wu-wien.ac.at> Organization: University of Economics, Vienna Date: Tue, 23 Nov 1999 16:29:22 CET (+0100) MIME-Version: 1.0 Content-type: text/plain; charset=US-ASCII Content-transfer-encoding: 7BIT CC: r-bugs@biostat.ku.dk, r-help@stat.math.ethz.ch References: <153DF9230E8@fgr.wu-wien.ac.at> X-mailer: Pegasus Mail

Hi, I could not find an R package for the analysis of multivariate normal datasets with missing values. Prof. Joseph Schafer has created an S+ library (norm) that does such type of analysis, which I now ported to R. I guess that I should have asked here if there are other people working on such project, before I actually ported it, but... If such package has not been ported, I will upload the

Hi, Before I re-invent the wheel, is there a function in R similar to S+'s arima.sim, i.e., a function that simulates arima processes. ts and tseries packages don't seem to have such function, but I may have overlooked it. Thank you for your time, Alvaro Novo R Version 1.1.1 SuSE 6.4 Linux KDE 2.0 Beta 5 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-

Hi, It seems that there's a bug in summary, in the max. output... but max() alone works fine. > hw04.dframe$area ... [41] 1790 1380 1296 2745 798 2306 438649 1481 1559 2450 ... > summary(hw04.dframe) area Min. : 798 1st Qu.: 1349 Median : 1690 Mean : 6962 3rd Qu.: 2306 Max. :438600 ### should read 438649 or, to the point,

Dear R-users, Is there a procedure to identify neighbors in a regular lattice using either a "rook" or a "queen" criterium? To be more specific, suppose: My lattice: 1 2 3 4 5 6 7 8 9 "Rook" Neighbors 1 has neighbors 2,4 2 has neighbors 1,3,5 ... 5 has neighbors 2,4,6,8 "Queen Neighbors" 1 has neighbors 2,4,5 2 has neighbors 1,3,4,5,6 For each case,

Regardless of which version -- 1.1.1 or 1.2.0 (2000-11-27) -- with a fresh "directory" (i.e. no .RData), I am getting an extremely weird result. R : Copyright 2000, The R Development Core Team Version 1.2.0 Under development (unstable) (2000-11-27) > jj _ seq(0.05,0.95,by=0.002) > sum(jj==0.75) ## WRONG ANSWER [1] 0 > 0.05 + 350*.002 ## Double check that 0.75 is in jj [1]

Greetings folks, Shafer's S-plus package "norm" for multiple imputation of missing values in multivariate normal data has been most kindly and usefully ported to R by Alvaro A. Novo. Shafer's website http://www.stat.psu.edu/~jls/ lists four S-plus packages in all: NORM - multiple imputation of multivariate continuous data CAT - multiple imputation of multivariate

Hi, We have a user reporting the following problem > % R > > R : Copyright 2001, The R Development Core Team > Version 1.2.3 (2001-04-26) > > 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. > > R is a collaborative project

Hi, I am VERY interested in getting the xfig driver so that I can edit graphical output from R. Searching through the mail archives and reading documentation isn't helping. Is there or isn't there a working driver for this purpose. How can I get it? I tried looking at the development version of the tarballs, but I didn't find anything that looked promising in there. Also, does

Hi, I am having difficulties extracting all variables used in a formula. Here's an example of what I am doing: > my.formula <- v1 ~ v2 + v3 + I(v4/v5) > out.terms <- terms(my.formula) > paste(attr(out.terms, "variables"))[-1] [1] "v1" "v2" "v3" "I(v4/v5)" BUT what I would like to get is [1] "v1"

Thanks for doing this Thomas, I have been thinking about what it would take to do this, but if it were left to me, it would have taken a lot longer. Back in the 80's there was a statistical package called RUMMAGE that did all computations based on sufficient statistics and did not keep the actual data in memory. Memory for computers became cheap before datasets turned huge so there

================================================= This is an automated summary of the status of the R-bugs repository. Note that this may be neither complete nor perfectly correct at any given instance: Not all bugs are reported, and some reported bugs may have been fixed, but the repository not yet updated. Some bug fixes are difficult to verify because they pertain to specific hardware or