similar to: arguments of lpSolve

Dear all, I have one Model (M3) fitted using the lme package, and I have checked the correlation structure of within-group errors using plot(ACF (M3,maxLag=10),alpha=0.05) But now I am not sure how to interpret this plot for the empirical autocorrelation function. The problem is that I am used to see/interpret diagrams in which all the autocorrelation Lags, except lag-1, are inside the

Dear all I can not understand how to install the package lpsolve_1.1.9.zip I have read the FAQ and the help pages carefully, but it still not clear for me. I have tried the following (and obtained the respective error messages): >install.packages("c:/ProgramFiles/R/rw2011/library/lpSolve_1.1.9",destdir=" c:/ProgramFiles/R/rw2011/library/lpSolve") Mensagem de aviso:

Hello! Could anyone please tell me how should I include R in a text section for References? Regards, Sara Mouro [[alternative HTML version deleted]]

Dear R users, I have this 2 models that fit to my data: M3varI <- update (M3, weights=varIdent(form= ~ 1|SITE)) M3AR1<-update(M3,correlation=corAR1()) The first one, updates my M3 so that I can account for the variance structure of random erros. The second one, updates my M3 so that I can account for the correlation structure of random errors. How can I put them toghether in one

Dear All, I have to enter many lines of data in the same object. I usually use copy-paste to transfer data from an Word file to R. But, for large lines of data, R gets "confused" and gives an error message, i.e. it breaks one line somewhere, and lines get no meaning at all. Some times I solve that problem adding "enters" and making each line shorter, before I do

Dear all, I am using the nlme package to find the best model using non-linear mixed effects model. After the all the other things needed, I did > M1<- nlme(NShrubs~A*exp(-B*CED),data=DataSg,fixed=list (A~SITE,B~1), random=B~1,start=list(fixed=c (1.66,1.66,1.66,1.66,1.66,1.66,1.66,1.66,0.0038)),control=lmc) and it was ok. However, the data showed to need random parameters at both

Hello all, I would like to use the lp function (lpSolve package) on a linux system. Using sample code from the lp function help, I can solve the linear program with no errors or problems. However, when I copy the exact same code to R in linux (after loading the lpSolve package), I get the following error: *** caught segfault *** address 0x3, cause 'memory not mapped' Traceback: 1:

Dear all, I am trying to find the solution for the optimization problem focused on the finding minimum cost. I used the solution proposed by excel solver, but there is a restriction in the number of variables. My data consists of 300 rows represent cities and 6 columns represent the centres. It constitutes a cost matrix, where the cost are distances between each city and each of six centres. ..+

Dear all, How can I explian and solve the error message: "margins too large" which appears when I do something like: KK <- alltypes(SpatData, "K") plot.fasp(KK) Hope someone can please help me on this. Regards, Sara Mouro [[alternative HTML version deleted]]

Hi I have just dwonloaded QCA3 onto this machine (ubuntu, karmic, amd64) and a mac. The examples run fine on teh mac, but crashed R on ubuntu. Any help much apprecia\ted. Thanks Richard ------------------------------------------------------------------------------ Terminal log: > conditions <- >

Dear all, Could you pleas advise me on the following? I need to use general(ized) linear models (binomial distribution + logit link function) , to describe the preferred environment of each species (each sample is an individual in which I have measured several variables and also recorded the species it belongs to) However, must account for the spatial autrefoocorrelation between

> > Dear all, > > I have been usig R for some time, but now I have a MAC instead of a > PC, am I am having problems in reading files... > > > I have tried: > Data<-read.table("Users/SaraMM/PhD/Analises-LitterBags/Dados- > Litter.txt",head=T) > > but it said: > Error in file(file, "r") : unable to open connection > In addition:

Dear all, I have read the on-line explanations I have found about Building R from sources, and istalling Packages from sources... Also, I have installed gcc4.0 and the gfrotran-4.2.1.dmg. However, I still do not know how to use them to compile one Source (in particular packfor_0.0-7.tar.gz) so that I can use it in R (for MAC OS X). Could someone please explain it to me in an easiest way

Hello! I am writing you because I could not plot the confidence envelopes for functions Jest, Jcross, Jdot, Jmulti, and L, using the Spatstat package. I have already understood how to do that for Kest or Jest, that is: JEnv <- plot(envelope(PPPData, Jest)) Where PPPData is my ppp object. However, for Jcross I must specify the two marks I want to analyse. That is, usually I would get the

Dear All, Can I solve a "Set Covering Problem" (in a mathgraph) using R? Which package should I use for that? Thank you in advance. Sara Maltez Mouro [[alternative HTML version deleted]]

Dear all, I am using the spatstat package, but my field data was a mirror image of the data plotted by plot.ppp(X). Therefore I changed it using -x and -y coordinates. However, I guess (I saw "debug") that I get some error messages because of that. So, could anyone please tell me if I really can not use negative values for x and y coordinates in a ppp.object (and relates analysis)?

Dear all, I am using the spatstat package, and in particular the algorithm markstat(X,fun,N,R,.) I need that output to detect which is the nearest neighbour of each point in that point pattern. Therefore, I would use X=my ppp object already defined, N=2 But what function should I use? It should be something like "none"..?! Hope you can help me on this. Regards, Sara Mouro

Dear all, I am using the spatstat package, in particular the Jest, Jdot and Jcross functions. When I plot the results using J <- Jest (SpatData) plot.fv (J, main="Recruits") there are 4 different lines (different colours and shapes): black _____ green -------- red _ _ _ _ blue _._._ Could someone please tell me which line is which?? Regards, Sara Mouro [[alternative HTML

Dear all, Does any one knows why should I get the following error message, when trying to do a simple data.frame?? DataF<-data.frame(Subject,BiomR,Spp,Capas,Litter,Herbs,LitterD,MaxCanH,DDifS p,DSSp,Slope, CanDens,NearestSp) Erro em data.frame(Subject, BiomR, Spp, Capas, Litter, Herbs, LitterD, : arguments imply differing number of rows: 202, 0 The data I am using

Hi, I am working with lpSolve "R" package by Sam Buttrey, buttrey at nps.navy.mil , which is interface to lp_solve linear/integer programming system. You can find information about lp_solve at http://groups.yahoo.com/group/lp_solve/ (free registration required). lpSolve (R package) supports linear and integer programming but it does not support semi-continuous variables