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as.integer() truncates doubles toward zero, as Splus does (at least v. 6.1 under Windows does). Thus: > look <- (10 * seq(14)) - 76 > 10 * (73.1 + look) [1] 71 171 271 371 491 586 681 791 886 981 1101 1201 1301 1401 > as.integer(10 * (73.1 + look)) [1] 70 170 270 370 490 586 681 791 886 981 1101 1201 1301 1401 ... It is not documented in R! I propose appending

As many of you have probably realized, the spam filtering at @stat.math.ethz.ch has been dead for since yesterday (09-25) ~16:50 till today ~08:30. The sudden death may have been caused by unrelated installation of some perl modules (spamassassin *is* running on perl) by our IT staff. We are very sorry for this event. On the bright side: You have been able to get a glimpse of what you are

Hi All: I am clustering 500 genes using hclust of R. Visualizing cluster membership becomes difficult with so many genes in each cluster...Is there a way of printing the dendrogram in multiple pages so that I can clearly see what is in each cluster? Thanks in advance. Karthi.

Hello, I am looking for an explanation and/or fix for a discrepancy in the behaviour of the R lm.influence() function [ version R 1.5.0 (2002-04-29) ] and the same function in Splus [ Splus version 5.1 release 1, running on SGI IRIX 6.2]. The discrepancy is of concern because I am migrating some Splus scripts to R and need to ensure consistency of results. Specifically, when I fit a glm()

Has anyone ported the Bagplot function by Rousseeuw, Ruts, and Tukey from S to R? The S function comprises a script and a FORTRAN function. I assume porting is relatively uncomplicated, but since I have not done any porting before I would not want to invest the effort if a port is readily available.

We have locally collected good experience the last few weeks using procmail-spam filtering, inclduing spamassassin to the procmail filters. The last two spams that went past the majordomo filters (the "traditional ones I've been using) through to R-devel both were not delivered to me, be but caught by the filters. I have now collected a bit more of a week experience using the new scheme

Dear R experts. 'D()' function recognizes some of the analitical functions, such as sin, cos, etc. But I'd like to take analytical derivatives from asin, atan etc. functions. Are there any R packages providing that features? Thanks. -- Timur.

Is there a way of extracting mean distance or dissimilarity for a given strata from a 'dist' or 'dissimilarity' object, e.g. extract mean distances for each species in Anderson's iris data? data(iris) iris.dist<-dist(iris[,1:4]) then what? Mikkel Grum, PhD Genetic Diversity Scientist International Plant Genetic Resources Institute (IPGRI) Sub-Saharan Africa Group ***

In the time honored spirit of wishing to do nothing well, could I suggest that the Splus (versions 5 and 6) response to: > rbind(NULL,NULL) NULL is preferable to the R response: > rbind(NULL,NULL) Error in rbind(NULL, NULL) : attempt to set an attribute on NULL This is on: platform sparc-sun-solaris2.8 arch sparc os solaris2.8 system sparc, solaris2.8 status major 1

--=-YFjXKq8/D/t1qWmIzQ9D Content-Type: text/plain Content-Transfer-Encoding: quoted-printable I was going over the source in src/nmath/pnorm.c and noticed a little bug in pnorm_both (in R 1.7.0). The else-if on line 205 covers the entire real line. Seems you want an &&, not an ||. Doesn't make a big difference (you still get a 0 or 1 from extreme starting values) but your log

The NEWS file for R-1.7.0 says: table() now allows exclude= with factor arguments (requested by Michael Friendly). But in a recent R-1.7.1beta: > test <- c(1,2,3,4,5,1,2,3,4,5,NA,NA,1,2,3,4,5) > table(test) test 1 2 3 4 5 3 3 3 3 3 > table(test, exclude=NULL) test 1 2 3 4 5 <NA> 3 3 3 3 3 2 > table( as.factor(test), exclude=NULL) 1 2

Full_Name: andrea capodicasa Version: 1.7.0 OS: w2k sp3 Submission from: (NULL) (212.17.194.154) Hi all, the problem is when you try to round.Posix an empty vector of dates Please give a look to this code: > data=seq(ISOdate(2001,1,1),by="day",length=3) > data [1] "2001-01-01 13:00:00 ora solare Europa occidentale" [2] "2001-01-02 13:00:00 ora solare Europa

Full_Name: Jerome Asselin Version: 1.6.2 OS: RedHat Linux 7.2 Submission from: (NULL) (142.103.173.179) Should be an easy fix... Consider the examble below: plot(0,0) legend(0,0,c("Hello!","Hi!"),pch=1:2,lty=1:2,trace=T) It gives the following trace: > plot(0,0) > legend(0,0,c("Hello!","Hi!"),pch=1:2,lty=1:2,trace=T) xchar= 0.05178 ;

Full_Name: Jens Lund Version: Version 1.7.0 (2003-04-16) OS: Win NT 4.0 SP 6 Submission from: (NULL) (193.3.225.210) As the T distribution is symmetrical around 0 qt(0.5,df) should return 0 for any df. However for df close to 1 it seems to have problems as seen by: qt(0.5,seq(1,1.1,by=0.0001)) For example: > qt(0.5,1.01) [1] -0.2300470 Higher df as df=1.1 (and up to approx df=1.7) seem

Hi, I thought it would be convenient if the check.names argument to read.table, which currently can only be TRUE/FALSE, could take a function value as well. If the function is supplied it should be used instead of the default make.names. Here is an example where it can come in handy. I tend to keep my data in coma-separated files with a header line. The header line is prefixed with a comment

Hello, This message is little off-topic in R-help. Sorry for that, but not all interested people are wired yet to r-sig-gui (http://www.stat.math.ethz.ch/mailman/listinfo/r-sig-gui). Thanks for your comprehension. A preview version of SciViews (a Graphical User Interface for R under Windows, http://www.sciviews.org) was released a few weeks ago. Since then, the Web site recorded several

Hi Can anyone help with the technique of obtaining leverages from a conditional logistic regression model? The code lm.influence does not seem to work for this data. Thanks Jane Murray

While plotting a table using plot(table), I am not able to suppress the axes with axes = FALSE. Am I missing something or is it a bug? For example: > x <- c(rep(0, 7), rep(1, 4), rep(5, 3), rep(6, 4), rep(8, 10)) > table(x) > plot(table(x), axes = FALSE) #does not suppress the axes > plot(table(x), frame.plot= FALSE, axes = FASLE) #deliberate spelling

Consider > oj <- data.frame(x = c(TRUE, FALSE, NA)) > oj x 1 TRUE 2 FALSE 3 NA > summary(oj) x Mode :logical FALSE:1 TRUE :1 But > oj$x <- factor(oj$x) > summary(oj) x FALSE:1 TRUE :1 NA's :1 My point is that NA's should be reported for logicals like they are for other data types. Göran --- Göran

On my previous message I gave incorrect URL's for the configuration output. They should be www.phineas.pwp.blueyonder.co.uk/config.log and www.phineas.pwp.blueyonder.co.uk/config.out Also this technique appears to work with Netscape on Solaris, but not IE on Windows. If this is not a sensible way to post diagnostic output let me know and I will post them in a different way. Phineas Campbell