similar to: weighting nlme in multivariate outcome

Hi all, Can anybody tell me what to do in case an error occurs inside a for-loop and I don't want the program to exit the loop? Rather instead I would like it to just go to the next number in the loop and try again with the new number. Is there any function like "on error go back to" or "skip error" ... ? Thanks in advance, Erich Erich STRIESSNIG IIASA

Hello R-users, I am aware that this is a very basic question, but still... Since mode() function is reserved for something else, is there a function to calculate statistical mode for a vector or a matrxi? i.e. mode.function(c(1,2,2,2,3,3))=2 Thanks in advance, Elena Moltchanova Elena MOLTCHANOVA IIASA International Institute for Applied Systems Analysis A-2361 Laxenburg, Austria E-Mail:

Hi, everybody! I am currently dealing with spatial estimation and thus writing some smoothing algorithms. My question concerns the graphical output. I would like my function to produce a picture of input data (X) and of estimation results(Y). Both, X and Y are categorical variables which can take values 1,2,...,Cl. So, basically I write foo<-function(){ ....

Hello, everybody! I have subscribed to the list only recently, although I've been actively using R since February. I found it very useful and very flexible and I hope to learn to use it better. My current problem concerns spatial statistics. I need to partition a regular rectangular grid into given number of subsets. For example for a 5*5 grid with 3 subsets I could have: 1 1 1 2 2 1 1 2

Dear R-expert I'm fitting a non linear model (energy allocation model to individual growth data) using your nlme routine. For each individual I have thus a number of observations (age and size) to which I fit the nonlinear function, with random effects for the individuals on the estimated parameters (individual as the grouping factor). The sampling of these individuals was stratified (size

Greetings- I am in the process of constructing a nonlinear model using nlme. The model is attempting to fit a nested data structure from some public-opinion data (the data are from individuals nested within organizations). The question I have is fairly simple (I hope). The data were collected in two stages: a 15,000-subject randomly-sampled telephone interview (the SCREEN), with 2,517 subjects

Dear Lockwood, As you can see, I'm a beginner... But thank you very much! Sincerely, Tord Quoting "J.R. Lockwood" <lockwood at rand.org>: > how about > > buskartant$buskartant <- sapply( group.list, function(x) > sum(!is.na(unique(x))) ) > > OR > > buskartant$buskartant <- sapply( group.list, function(x) > length(unique(x[!is.na(x)])) )

I have a factor (with "n" observations and "k" levels), with only "nobs" < n of the observations not missing. I would like to produce a (n x k) model matrix with treatment contrasts for this factor, with rows of NAs placeholding the missing observations. If I use model.matrix() I get back a (nobs x k) matrix. Is there an easy way to get the (n x k) without

Hello, I have a dataframe with several hundred variables. I would like to explore updates of some baseline lme fit by including each of some subset of these variables, one at a time. For various reasons it is inconvenient to rely on the positions of the numbered columns in the dataframe. Here is what I want to do: mod.baseline<-lme(fixed=foo,data=dat,random=bar) for(thisvar in vars){

I may be missing something obvious here, but consider the following simple dataset simulating repeated measures on 5 individuals with pretty strong between-individual variance. set.seed(1003) n<-5 v<-rep(1:n,each=2) d<-data.frame(factor(v),v+rnorm(2*n)) names(d)<-c("id","y") Now consider the following two linear models that provide identical fitted values,

Hello, I have a simulated data structure in which students are nested within teachers, and with each student are associated two test scores. There are 20 classrooms and 25 students per classroom, for a total of 500 students and two scores per student. Here are the first 10 lines of my dataframe "d": studid tchid Y time 1 1 1 -1.0833222 0 2 1 1

Hi! I'm pretty raw when working with the R models (linear or not). I'm wondering has anybody worked with the NLME library and dichotomous outcomes. I have a binary outcome variable that I woul like to model in a nested (multilevel) model. I started to fit a logistic model to a NLS function, but could not suceed. I know there are better ways to do it in R with either the LRM or GLM wih

Dear list members, we are running samba 2.2.3a-6 with debian woody. Printing from win98, NT4.0 AND two win2k PC works, but with two other win2k PCs printing is not possible: The following german error Message is displayed in the win2k printer configuration: "Zugriff verweigert; kein Verbindung m?glich" The english translation could be something like this: "access denied; no

Greetings, I have a meta-analysis problem in which I have fixed effects regression coefficients (and estimated standard errors) from identical models fit to different data sets. I would like to use these results to create pooled estimated regression coefficients and estimated standard errors for these pooled coefficients. In particular, I would like to estimate the model \beta_{i} = \mu +

Statistical Computing and Statistical Graphics Sections American Statistical Association Student Paper Competition 2007 The Statistical Computing and Statistical Graphics Sections of the ASA are co-sponsoring a student paper competition on the topics of Statistical Computing and Statistical Graphics. Students are encouraged to submit a paper in one of these areas, which might be original

Statistical Computing and Statistical Graphics Sections American Statistical Association Student Paper Competition 2008 The Statistical Computing and Statistical Graphics Sections of the ASA are co-sponsoring a student paper competition on the topics of Statistical Computing and Statistical Graphics. Students are encouraged to submit a paper in one of these areas, which might be original

Statistical Computing and Statistical Graphics Sections American Statistical Association Student Paper Competition 2009 The Statistical Computing and Statistical Graphics Sections of the ASA are co-sponsoring a student paper competition on the topics of Statistical Computing and Statistical Graphics. Students are encouraged to submit a paper in one of these areas, which might be original

First off, Marc Schwartz posted this link earlier today, read it. http://cran.r-project.org/doc/FAQ/R-FAQ.html#Why-are-p_002dvalues-not-di splayed-when-using-lmer_0028_0029_003f Second, your email is not really descriptive enough. I have no idea what OR is, so I have no reaction. Third, you're comparing estimates from different methods of estimation. lmer will give standard errors that

This is a great wine from L'Empurd?, Spain. If you want to know more information contact: Direction: C/ Garriguella 8 Town: Mollet de Peralada Comarca: Alt Empord? CP: 17752 Tel?fon: 972634320 It's the best wine I've ever seen.

John M. Chambers Statistical Software Award - 2008 Statistical Computing Section American Statistical Association The Statistical Computing Section of the American Statistical Association announces the competition for the John M. Chambers Statistical Software Award. In 1998 the Association for Computing Machinery presented its Software System Award to John Chambers for the design and