similar to: distance by vegan

Hi, I have collected data on trees from 5 forest plots located within the same landscape. Data within the plots are spatially autocorrelated (calculated using Moran's I). I would like to do a ANCOVA type of analysis combining these five plots, but the assumption that there is no autocorrelation in the residuals is obviously violated. Does anyone have any ideas how to incorporate these spatial

i would like to perform moran's analysis with r... thanks duccio

Hi all, I wrote a piece of code that generates simulated variables. after variable generation I use them in several analyzes. However, when I use a for to repeat the procedure 1000 times I get an erro message in one of the "for" steps, precisely at this time: gls.temp<- gls(y2 ~ x2,correlation=corExp(form=~coord2[,1]+coord2[,2])) # coord 2 are spatial coordinates and the error

Hi. I'm trying to export a .wav file using the writeWave function from tuneR package in a different folder than the default getwd(). After reading through the manuals of some audio packages I couldn't figure it out. I'm picking one 3-hour .wav file and asking the function to take a sample of 1 minute (from minute 100 to minute 101 of the 3-hour file) and saving it in an object

Quantreg package allows to plot the summary of models derived by quantile regression at different taus. The plot shows the parameters variation by varying taus: intercept and slope (for a linear model). Together with these values even confidence intervals may be plotted, based on the threshold given within the summary (e.g. alpha=0.01 equals 99% CI). However the graphic even plots the mean of

Hello to everybody, I need to convert a json dataset in an R dataframe. I suppose that I'd need to use rjson or rjsonio package. The json dataset is: http://apistat.istat.it/?q=getdatajson&dataset=DCIS_POPSTRBIL&dim=1,0,0,0&lang=1&tr=&te= It would be nice if someone can help me to create a function like the one below:

To whom it concenrt I am trying to update the R program 2.9 This is the message that the program give is: > update.packages(ask='graphics') Warning in install.packages(update[instlib == l, "Package"], l, contriburl = contriburl, : 'lib = "C:/PROGRA~1/R/R-29~1.0/library"' is not writable Erro em install.packages(update[instlib == l, "Package"],

Hi, If I have a vector: junk <- c(2,0,0,3,0) and want to access, say, all the elements that are greater than zero. I just do: junk[which(junk>0)] Now, If I have a list: jlist <- list(NULL,c(1,0),NULL,c(1,2,3), NULL) and want to access all the elements that have length greater than zero, I know how to find the elements with: which(sapply(jlist,length)>0) But how do I get a

I am trying to use the SeasonalMannKendall function in the Kendall package. My dataset (alb_data) is in the same format as the example dataset (manaus) in the package. > class(manaus) [1] "ts" > is.ts(manaus) [1] TRUE > typeof(manaus) [1] "double" > alb_data=read.table("R:/albemarle_manken.txt", header=T) > head(alb_data) year Jan Feb

Hi all, i've installed Asterisk with AMP. I've created 4 extensions (for 4 SIP phones) and this is what my "sip show users" return: moloch*CLI> sip show users Username Secret Accountcode Def.Context ACL NAT 204 moira from-internal No No 203 michele from-internal No

I need the most straightforward way to build semivariograms within R i am currently using s-gems software but i would like to even test R Thanks D [[alternative HTML version deleted]]

how to calculate moran's i having a matrix of species vs. plots? cheers duccio

I have two variables which show a typical quantile relation I would like to fit quantile regression models based on both logarithm and polynomial of second order functions within quantreg. Any help appreciated... Cheers Duccio Herewith the values: ------ var1 var2 0.96429 0.00138 1 0.02316 1.03145 0.09323 1.24088 0.77128 1.39869 0.86732 1.33728 0.63674 1.48299 0.96194

Hi, I'm trying to set up a PDC using Samba on a Linux server. I need to the linux clients, using KDE desktop, log in the PDC using the KDE login box. I think I could use the 'winbindd' to do what I need but, I still have some questions: 1. Do I need to set up winbindd on each Linux client to log on the Linux PDC ? 2. Do I need to set up winbindd on the Linux PDC

> Hola a tod@as a ver si me podéis ayudar: > > tengo una base de datos en excel con 120 variables y 58 observaciones para > cada una de ellas y no encuentro la manera de que reconozca la base de > manera correcta, es decir que reconozca que son 120 variables y que se trata > de series temporales. He usado el paquete ts, zoo pero tampoco así consigo > indexarlas de manera

Dear Mr. Beginning to work on Linux. I am trying to install R into Ubuntu Gustsy. I installed version 2.5.1 and worked fine. But then I tried to upgrade by adding these lines to sources.list: deb http://cran.fiocruz.br/bin/linux/debian etch-cran/ deb http://cran.fiocruz.br/bin/linux/ubuntu gutsy/ I introduced the authorization keys (as recommended) and the files were downloaded. But then I

Hello everyone. My name is Jo?o Paulo I am a master's student in the course of omputer science. I intend to create a package for the R that makes the SQL language commands available for use. I know that there are already some packages that execute SQL commands within R. However, most of these commands require querys to be passed as a string. I wish SQL commands could be used more naturally.

Dear All, I have tried to calculate tree mean growth but I think the structure I used below (growthresumo) is not the most elegant, even though it worked. The only problem I had in this first part was that I cannot use 'summary', just 'mean' (sorry but 'R' is pretty new for me). >growthresumo <-

Hello all, Sorry for the terribly newbie questions but I have successfully installed and access a home directory on my Linux box from a Windows XP server but am have trouble with write permissions to the folder. Any ideas on what could be wrong? Thanks Vernon

Hi Gon?alo Ferraz <gferraz29 at gmail.com> napsal dne 11.09.2007 16:35:57: > Thanks! What is the easiest way of declaring an empty data frame. Is there > anything similar to: > matrix(0,x,y) > In the help files, I am only finding longer commands that ask me to specify > each individual column. You can either do dat<-data.frame(x=rep(NA,10), y=rep(NA,10)) or to