similar to: different ACF results

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

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 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! 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, 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]]

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, 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

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

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]]

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Dear friends, I am studying the spatial distribution of trees in a tropical swamp forest in Brazil, and the spatial association between the trees and other forest and non forest elements. These are point pattern analysis of mapped data, preferentially done with the L function of Ripley. I have recently discovererd the R-project and would like to know whether it is possible to do these

A friend of mine came to me with the two envelopes problem, I hadn't heard of this problem before and it goes like this: someone puts an amount `x' in an envelope and an amount `2x' in another. You choose one envelope randomly, you open it, and there are inside, say ?10. Now, should you keep the ?10 or swap envelopes and keep whatever is inside the other envelope? I told my friend

Hello, I am writing cause I have a problem when try to create confidence envelopes in spatstat. I have a point data representing firms in my study area. When I try to create confidence envelopes the error message turns up: [> p <- envelope(point, fun=Kest, nsim=99) Error in marks.ppp(Y, dfok = FALSE) : Sorry, not implemented when the marks are a data frame] Could you write me how can I

Hi Have this helper method inside a sites_helper.rb module def distritos [ ['0', 'Todos'], ['1', 'Aveiro'], ['2', 'Beja'], ['3', 'Braga'], ['4', 'Brangança'], ['5', 'Castelo Branco'], ['6', 'Coimbra'], ['7',

Dear all, Sorry for such basic question, but. when R "says": library(Rcitrus) Loading required package: geoR Loading required package: sp ------------------------------------------------------------- Analysis of geostatistical data For an Introduction to geoR go to http://www.est.ufpr.br/geoR geoR version 1.6-8 (built on 2006/06/29) is now loaded

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 a beginner with lpSolve package (and not an expert in the others). I can not understand why I am doing wrong, and I would be very grateful if anyone could please help me on this. I am trying to optimize ("min") the sum of columns/variables, constrained to >=1. Each column/variables has its weight - given by values at f.obj. The matrix for numeric constraint

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