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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 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:

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 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, 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 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 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, 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, 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

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

Hi, I'm very interested in making SSH use UDP for large data chunks. Maybe you know FASP (https://en.wikipedia.org/wiki/Fast_and_Secure_Protocol), but that is proprietary, although the website says it's based upon open source methods. Is it possible to make openssh work with UDP for this purpose? Thanks in advance, Stef Bon

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

Buenas tardes, Solicito por favor ayuda con este error: Error: OutOfMemoryError (Java): Java heap space Estoy trabajando con matrices de grandes dimensiones y el programa no logra completarse porque dice le falta memoria. Gracias [unnamed] Sara Suarez Zapata Estudiante en práctica - Unidad Gestion Bolsa de Energia. Tel: (574) 380 61 18 Correo: sara.suarez en

Hi! We have run a linear regression model with 3 explanatory variables and get the output below. Does anyone know what type of test the anova model below does and why we get so different result in terms of significant variables by the two tables? Thanks! /Sara > summary(model) Call: lm(formula = log(HOBU) ~ Vole1 + Volelag + Year) Residuals: Min 1Q Median 3Q Max

Actually what I meant in my original loop, that there is a dependency between every two consecutive iterations. So, how the loop vectorizer says 'we can vectorize this loop'? for(int k=20;k<50;k++) dataY[k] = dataY[k-1]; From: Henrique Santos [mailto:henrique.nazare.santos at gmail.com] Sent: Sunday, November 03, 2013 4:28 PM To: Sara Elshobaky Cc: <llvmdev at

Hello, I was trying to trace the Loop vectorizer of the LLVM, I wrote a simple loop with a clear dependency. But found that the debug shows that 'we can vectorize this loop' Here you are my loop with dependency: for(int k=20;k<50;k++) dataY[k] = dataY[k-1]; And the debug prints: LV: Checking a loop in "main" LV: Found a loop: for.body4 LV: Found an

Hello, I'm using MCJIT to run some loops on my ARM processor. I was trying to perform some runtime optimizations on some function, and this requires recompiling the function at runtime. I know that this feature is not available yet in MCJIT , and to modify a function I have to create a new module with the newly optimized code. My questions are: - The newly created module can be

Hi Sarah, the loop vectorizer runs not on the C code but on LLVM IR this c code was lowered to. Before the loop vectorizer runs many other optimization change the shape of this IR. You can see in the LLVM IR you referenced below, a preceding LLVM IR transformation has change your loop from: > for(int k=20;k<50;k++) > dataY[k] = dataY[k-1]; to > int a = d[19]; >

Hello there, I'm building a Linux distribution based on musl and LLVM as default toolchain (including lld/libc++/libc++abi/libunwind rather than GNU). For most of the time this works pretty well. However I'm having troubles with few packages, webkit for instance fails because of max_align_t being redeclared in musl's stddef.h I see that stddef.h is provided by both musl and in the