similar to: UseR! 2010 - my impressions

Dear R useRs, I have a problem with nls.lm function of minpackl.lm package. I need to fit the Van Genuchten Model to a set of data of Theta and hydraulic conductivity with nls.lm function of minpack.lm package. For the first fit, the parameter estimates keep changing even after 1000 iterations (Th) and I have a following error message for fit of hydraulic conductivity (k); Reason for

Full_Name: Antonio Possolo Version: 1.3.1 OS: Linux (RH 7.1), Windows 2000 Submission from: (NULL) (192.35.44.3) A FEATURE THAT EASILY GENERATES BUGS sample(pi, size=1) produces 1, 2, or 3. sample(c(pi, pi), size=1) produces 3.141593 always. Although this conforms with the behavior explained in the help page for "sample", the behavior for the case where x (in sample(x, ...)) has

We are happy to announce that the R user conference useR! 2010 is scheduled for July 21-23, 2010, and will take place at the campus of the National Institute of Standards and Technology (NIST) in Gaithersburg, Maryland, USA. As for the predecessor conferences, the program will consist of two parts: invited lectures and user-contributed sessions (abstract submission will be available online

We are happy to announce that the R user conference useR! 2010 is scheduled for July 21-23, 2010, and will take place at the campus of the National Institute of Standards and Technology (NIST) in Gaithersburg, Maryland, USA. As for the predecessor conferences, the program will consist of two parts: invited lectures and user-contributed sessions (abstract submission will be available online

We are happy to inform you that abstract submission and registration for `useR! 2010' is now available online from http://www.R-project.org/useR-2010/ This meeting of the R user community will take place at the Gaithersburg, Maryland, USA campus of the National Institute of Standards and Technology (NIST), July 21-23, 2010. The conference schedule is comprised of invited lectures and

We are happy to inform you that abstract submission and registration for `useR! 2010' is now available online from http://www.R-project.org/useR-2010/ This meeting of the R user community will take place at the Gaithersburg, Maryland, USA campus of the National Institute of Standards and Technology (NIST), July 21-23, 2010. The conference schedule is comprised of invited lectures and

Participants in the R User Conference, useR! 2010, July 21-23, (http://R-project.org/useR-2010) will each receive a t-shirt, thanks to the sponsorship of Mango Solutions (http://www.mango-solutions.com/). This email is a call for designs for the front of the t-shirt. The design should be made using a single color of your choice. The design should be in the form of a high-resolution (at least

Full_Name: Antonio Possolo Version: 1.3.0 OS: Linux Submission from: (NULL) (192.35.44.3) If one attempts to read a character string from a file using scan, and the string comprises more than 8190 characters, then the string is truncated to this length, and no warning is issued. I've observed this both in the Linux and Win implementations of R 1.3.0. S-PLUS (v. 6.0 rel. 1 for Sun SPARC0

Mother always told me that there'd be days like this. She just didn't tell me that they go on for weeks. OK - John's book suggests that we're not complete in this arena here...Yeah, I bought the Samba 3 How-to-guide - Borders/Phoenix had 3 on the shelf (now 2) - and also an LDAP book for reference. It's been a fun weekend ;-) problemo... # smbpasswd -x -i MULLEN

Hi, All: What tools exist for diagnosing singular gradient problems with 'nls'? Consider the following toy example: DF1 <- data.frame(y=1:9, one=rep(1,9)) nlsToyProblem <- nls(y~(a+2*b)*one, DF1, start=list(a=1, b=1), control=nls.control(warnOnly=TRUE)) Error in nlsModel(formula, mf, start, wts) : singular gradient matrix at initial

Full_Name: Antonio Possolo Version: 1.6.2 OS: Linux & Windows2000 Submission from: (NULL) (192.35.44.3) x <- as.POSIXct(strptime(c("1993-5-11", "1994-11-23", "1995-7-8", "1996-10-15"), format="%Y-%m-%d")) y <- c(15, 32, 47, 61) plot(x, y, xlab="Date", ylab="Count") Warns "parameter

Full_Name: Antonio Possolo Version: 1.4.0 OS: Linux Submission from: (NULL) (24.25.141.205) ## inputFile has the following three lines (each without the initial ``## '') ## a,b ## m,1 ## n,3 ## and resides in $HOME/R fileHOME <- paste(Sys.getenv("HOME"), "/R/", sep="") fileNAME <- "inputFile" ## Given the command, z <-

do I somehow have to add RID's? [root@linserv2 sbin]# ldapsearch -x -h localhost -b "o=Mullen,c=US" '(cn=Domain Admins)' version: 2 # # filter: (cn=Domain Admins) # requesting: ALL # # Domain Admins, Groups, Mullen, US dn: cn=Domain Admins,ou=Groups,o=Mullen,c=US objectClass: posixGroup objectClass: sambaGroupMapping gidNumber: 512 cn: Domain Admins memberUid:

Hi I installed R 2.2.0 from source and I have the packages for tcl and tk installed on my system, but the package tcltk says, when I try to load the library tcltk: Tcl/Tk support is not available on this system. Are there any settings / variables which I have to set so that R recognises that Tcl/Tk support is installed on the system? Rainer -- NEW TELEPHONE NUMBER Tel: +27 - (0)72 808

Hi all, I am doing some clustering and the clustered results are presented in a "pairs" plot showing 4 clusters... I made the data points belong to 4 different clusters displaying different colors. Now I want to select the best clustered class, how can I click on the data point, and the program returns the index of that cluster(its class number, or color number)? Also, if I would

How can I write a text, such as a result of a function or an explanation to a graphic device? When I try plot, I'm unable to reduce the axes. Greetings torsten

Hi! I'm translating some code from Matlab to R and I found a problem. I need to translate Matlab's function 'lsqnonlin' (http://www-ccs.ucsd.edu/matlab/toolbox/optim/lsqnonlin.html) into R, and at the beginning I thought it would be the same as R's 'optim'. But then I looked at the definition of 'lsqnonlin' and I don't quite see how to make

Dear R-users, I would like to process some spectroscopic data with R, and I was hoping some people might have some example code on how to do this. I would like to be able to do the following things: * Detect outlier-spectra -> This can be done by using scoreplot from the pls package * Determine the range of the spectrum to be used -> For this, I should be able to calculate the regression

Hi I have a square matrix Ainv of size N-by-N where N ~ 1000 I have a rectangular matrix H of size N by n where n ~ 4. I have a vector d of length N. I need X = solve(t(H) %*% Ainv %*% H) %*% t(H) %*% Ainv %*% d and H %*% X. It is possible to rewrite X in the recommended crossprod way: X <- solve(quad.form(Ainv, H), crossprod(crossprod(Ainv, H), d)) where quad.form() is a little

Is there an efficient way to use rbind() with the five dataframes described in the following example: a <- c(1:5) list.foo <- lapply(a, function(x) data.frame(beta=a*rnorm(10), deta=a*rnorm(10))) big.data.frame <- rbind(list.foo[[1]], list.foo[[2]], list.foo[[3]], list.foo[[4]], list.foo[[5]]) #is there an easier method? For example, I naively thought you could do something like