similar to: Grouped data objects within GLS and Variogram

Hi Dietmar, I am trying to understand the problem and have few questions. 1. Is trashcan enabled only on master volume? 2. Does the 'rm -rf' done on master volume synced to slave ? 3. If trashcan is disabled, the issue goes away? The geo-rep error just says the it failed to create the directory "Oracle_VM_VirtualBox_Extension" on slave. Usually this would be because of gfid

Hello, I have used R in the past to conduct multiple comparisons on standard linear models, but am a bit confused as to how to go about doing it with a mixed effects model. I am conducting a bioindication study using carabid beetles in which I have four treatment types (forest harvest types with varying levels of canopy structure retention), and am using canopy closure percent as a covariate in

Dear Members, I am trying to fit a variogram model using fit.variogram function from the gstat package. The figure showing my experimental variogram can be seen here: https://i.stack.imgur.com/UZXw4.png My code line for this operation is: > c2.vgm.fit<-fit.variogram(c2.vgm.exp,vgm(nugget=0, psill=400,model="Exp",range =40000),fit.method = 7) The system throws following error

Hi everyone, I'm witnessing an odd modelling phenomenon that I can't explain. If anyone has seen this before, or can explain what's going on would let me know, I'd be very grateful! Especially if I'm just being dim. I'm fitting a pair of continuous variates and their interaction to some residuals from another model. The sequential anova statement changes with the term

I'm trying to setup samba with ldapsam (Novell eDir 8.7.1). Right now I can login to samba and browse my shares with user "Administrator", but when I'm trying to add computer to domain I get "unknown user name or bad password" error. I have administrator, root and nobody accounts in ldap. And I have manualy added following groupmappings to ldap-groups: Domain Users

Dears UseRs, In Zuur's book (Mixed effects models and extensions in ecology with R), p 167, it is mentionned that the Variogram function (package nlme) scale the sill to 1. Here is the plot of the semi-variogram given by the Variogram function on my "lme" object. (http://imm.io/3OLe) Note that the semi-variance exceed 1 !! It can probably explain why the Gaussian correlation

Dear Users, >From previous analysis (semi-variograms using package gstat), I found spatial autocorrelation in my dataset. The best fitted model to this spatial correlation structure is the Gaussian model (Spherical, Exponential, Linear tested and comparison done by Sum of Square errors). So I used corGaus function to define this spatial autocorrelation in my lme model using the option

Dear all, I'm trying to fit a variogram model using variofit function in geoR package. There is an option to fix the nugget but is there anyway to force the variogram sill to equal some defined value? I'm working with standardized longitudinal data so the process variance is 1 and I'd like to force the sill of the variogram to reach this value (and prevent it from going

Hi I'm using R(2.9.0) and gstat package under Windows to plot sample variograms. When I want to fit them, I don't have the possibility to choose Cauchy functions. Under Mathematica for example, we have it and it seems to be the best one to fit the variograms I have I tested the others functions, they can fit but I would,if possible, use the Cauchy one. If anybody knows something about

I wonder what is the default value for the argument 'cutoff' when not specified in the variogram.formula function of gstat. Computing variogram envelops within gstat, I am comparing the results obtained with variog in geoR and variogram in gstat, and it took me a while before understanding that the cutoff default value is not the maximum distance. Can Edzer tell us about it? All the

Hi Im attempting to build a sample variogram for 300 obersvations of longitudinal data. So what I need to do is compute the half squared differences between pairs of residuals (for instance if a subject has 4 obersvations, this is 4 choose 2 paird differences) for each subject. Also, then I need the corresponding time differences within each individual. So the end result will be a 300 by 2

Hi I'm interested in doing a anisotropy analysis of some spatial data and I want to do a contour plot of a covariance or variogram surface to visualize the directions of maximal and minimal anisotropy. I know how to do a contour plot :-) but how can I obtain the variogram surface having a geoeas format dataset (X, Y, Z) ? Thanks EJ

I am trying to use the nlme package in R following the book "Mixed-Effects Models in S and S-Plus". I have the latest versions of R (1.6.1) and nlme (3.1-33) for Windows (95 or later). I had problems with the instruction Variogram using a gls class object (Section 5.4, pg 261-262). Even when I use the scripts included in the package, I get an error message and not the expected

Dear GeoR-er, If I use the variog function in the latest release of geoR, the first lag is always ignored. For instance, if you read in geodata, calculates the variogram using the variog function and give in a uvec like uvec=seq(0,max,by=2.44), it only starts giving results from distance=4.88 and ignores 2.44! This wasn't the case in former versions of geoR. Is this done on purpose? Why?

hello I need basic explanation of variogram and how to use in R. I will appreciate if you supply them. regards Ahmet Temiz ______________________________________ XamimeLT - installed on mailserver for domain @deprem.gov.tr Queries to: postmaster at deprem.gov.tr ______________________________________ The views and opinions expressed in this e-mail message are ...{{dropped}}

Hello, I have data at 10 locations, in each location there are time series (T=56). Question is: when I?m fitting variogram what happens with those measures in each location? Are they taken as repeated measures? It's very important for my to know this Thanks a lot

Hello everybody, I want to run the following R-code, but it does'nt work. > res.vgm = variogram(ertrag ~ rep, # !!! + loc = ~ xpos + ypos, # !!! + width = start.range / 10, + data = d) Error in vector("double", length) : element 2 is empty; the part of the args list of '.Internal' being evaluated was:

Greetings! Is there in any package for R which can help me generate madogram, rodogram, semi-variogram, cross variogram from landsat imagery. I intend to select portions of large imagery (i.e., obtain subsets) and generate the above said texture layers. A simple Google search led to me a result suggesting SpatialExtremes for generating madograms. However I am not sure about its capability to

Dear R Helpers I'm investigation the geostatistics tools in R and have found the package 'gstat', which looks to be useful four two dimensional data. However, I usually deal with three dimensional information. I would like to compute a 3D variogram map using the variogram tool but cannot seem to get it to recognise the third (z) dimension The data file reads ok and the spatial

Dear All, Is there anybody has the experience in using variogram(gstat) ? Please kindly give me some hints about the results. I used variogram() to build a semivariogram plot as: tr.var=variogram(Incr~1,loc=~X+Y,data=TRI2TU,width=5) then fir the variogram to get the parameters as: v.fit = fit.variogram(tr.var,vgm(0.5,"Exp",300,1)) v.fit model psill range 1 Nug 1.484879