[R] deal with R.package panel

hello! my question conserns with use of panel package (written by R.C.Gentlman) (unfortunately the manual and help sites are very short) 1. is it possible to do analysis just without a(ny) covariate? i suggest do it by introducing a covariate with level=0 in all obervations, this because of

[R] cannot.allocate.memory.again and 32bit---64bit

hello! -- i use 32bit.Linux(SuSe)Server, so i'm limited with 3.5Gb of memory i demonstrate, that there is times to times a problem with allocating of objects of large size, for example 0.state (no objects yet created) gc() used (Mb)

[R] gc() and gc trigger

hello, the question concerning to the memory used and g.c. after having removed objects. What is wrong? bevor --- gc() used (Mb) gc trigger (Mb) max used (Mb) Ncells 313142 8.4 1801024 48.1 1835812 49.1 Vcells

[R] R --max-vsize=4000M --max-nsize=4000M

hello! what's wrong??? i use 32 bit machine. every time i 'm connecting the server to do my work with R on it , after having done R --max-vsize=4000M --max-nsize=4000M i become wrong limits specification for Ncells: . gc() used(Mb) gc

[R] lme4---GLMM

Hello, I'm very sorry for my repeated question, which i asked 2 weeks ago, namely: i'm interested in possibly simple random-part specification in the call of GLMM(...) (from lme4-package) i have a random blocked structure (i.e. ~var.a1+var.a2+var.a3,

[R] lme4 -- GLMM

hello! this is a question, how can i specify the random part in the GLMM-call (of the lme4 library) for compound matrices just in the the same way as they defined in the lme-Call (of the nlme library). For example i would just need random=list(my.Subject=pdBlocked(list(pdIdent(~...

[R] 2: lme4 --- GLMM

Douglas Bates wrote: The GLMM function in the lme4 package allows you to specify crossed random effects within the random argument without the need for the pdBlocked and pdIdent constructions. Simply ensure that your grouping factors are defined in such a way that each distinct group has a

(Re: [R] lme in R-2.0.0: Problem with lmeControl) and parameter specification

Hello! Thanks a lot to Douglas Bates for your advice. concerning the lme(...) function i wanted to put four other questions. 1.in the specification of initial values in the pdMat-constructor i probably define a standard deviation (sigma_b) and not a variance (sigma_b^2). For instance

[R] lme in R-2.0.0: Problem with lmeControl

Hello! One note/question hier about specification of control-parameters in the lme(...,control=list(...)) function call: i tried to specify tne number of iteration needed via lme(,control=list(maxIter=..., niterEM=...,msVerbose=TRUE)) but every time i change the defualt values maxIter (e.g.

[R] seeking for the GLME-package (Jose Pinheiro)

Hello! could you give me some advice where i can finde out/recieve/download a GLME package, written by Jose Pinheiro. i couldn'ti find it in the package lists (probably becouse it is still in a beta version). thank you for your replay __ [EMAIL