similar to: R2 for SAR and validation

I have been running into difficulties with dispatching on an S4 class defined in the SparseM package, when the method calls are inside a function passed as the f= argument to optimize() in functions in the spdep package. The S4 methods are typically defined as: setMethod("det","matrix.csr", function(x, ...) det(chol(x))^2) that is within setMethod() rather than by name before

Dear all, I would like to implement a spatial quantile regression using instrumental variable estimation (according to Su and Yang (2007), Instrumental variable quantile estimation of spatial autoregressive models, SMU economics & statistis working paper series, 2007, 05-2007, p.35 ). I am applying the hedonic pricing method on land transactions in Luxembourg. My original data set contains

I would like to undertake a Spatial autoregression with count data, how can I specify a negative binomial distribution? I am using the lagsarlm function in the spdep package. Thanks Julie -- View this message in context: http://www.nabble.com/SAR-with-count-data-tf1936174.html#a5304944 Sent from the R help forum at Nabble.com.

We have CENTOS 5.3 on DELL server. I tried to use "sar -b" or "sar -u" and it only show report starting on 12:00 A.M. my questions are: 1. for "sar -u" or "sar -b" how can I generate two or three days ago report? 2. how to generate daily report from "sa2 " peocess? Thanks. ___________________________________________________ ??????? ?

Howdy R gurus ! I am newbie to R I use R 2.0.1 in Windows XP. When I run R I got the follwoing memory error. My physical memory size is 3 Gb. My R got the memory problem when it reached to about 2 Gb. Thanks in advance, > library(spdep) > sfr.lagsarlm <- lagsarlm(sfr.data$Bldgsqft ~ sfr.data$Ncounty + sfr.data$Nugb + sfr.data$Ngroup, data=sfr.data, listw=sfr.listw,

Greetings: I am trying to work with spdep (everything is "brand new" downloaded this morning). OS = Windows 2000 (also up to date). The code I am using follows: #example gal.county=read.geoda("lnpilnd.GAL", row.names=NULL, skip=0) summary.nb(gal.county) Error in summary.nb(gal.county) : Not a neighbours list #end The gal file works just fine in GeoDa (also up to date).

Folks, At what point in iowait should I start to worry about having a bottleneck, or is this something that can't be answerd with a single integer? According to sar, after my last reboot to turn off hyperthreading as a test, at one time, I see 4.9% iowait, but then one minute later, it droped back to 0.01%, and rarely even gets to 1.0%, at least what I remember from yesterday. ?

Hello I'm very new to R (which is excellent), so apologies if this has already been raised. In the spdep package, I'm trying to undertake an autoregressive mixed model using the lagsarlm function. This is working fine, but there does not appear to be a method of including an explanatory variable without it automatically being included as a lagged term. I'm after something along the

Hello. I have been working with GeoDA, and have created a spatial weights file for my data. I am now looking to use R to run regressions on this data. However, I don't know and can't figure out how to get my data into R to run these regressions. I have the data in many formats, from a .dbf file to an Excel spreadsheet, but I'm not sure how to go about importing it into R. Could

My question is in regard to the spdep and GeoDa packages. Do you know how to extract a neighborhood/adjacency matrix from R? I need a matrix that has all the neighborhoods on the X and Y axis, and then a r=1 when the neighborhoods touch, and a r=0 when neighborhoods don't touch. I think the Moran's I functions use a matrix like this when they estimate Moran's I. I can estimate

Anyone know how to get statistics on bonded interfaces? I have a system that does not use eth0-3, rather we have bond0, bond1, bond2. The members of each bond are not eth0-3, rather they are eth6, eth7, etc. I didn't see anything in the man page about forcing sar to collect data on specific network interfaces.

Any help with this problem would be very much appreciated (even "it's not 7.3 or ext3 pointers, look somewhere else"). I've seen a similar post to ext3-users, but since that one received no reply and I'm not convinced it's a ext3 problem (it only appears on our 7.3 hosts) , I'm CCing to the valhalla list. We have the same problem on ALL our Redhat 7.3 machines

Hello, I'm trying to run a lagsarlm (maximum likelihood estimation of a spatial lag model) in the spdep library ; but R gives following error message: Error in solve.default(inf, tol = tol.solve) : system is computationally singular: reciprocal condition number = 4.20137e-12 I get the same message when I try to run de lagsarlm with a bigger data set (4333 regions). The command

I'm trying to use the spdep package to calculate this: y = rho W y + e I don't want to use explanatory variables, just the lag from the dependent variable. How would I code this?

The attachment is my dataset: 1.ccc.shp (the original data) 2.ccc.gwt, which is computed by Geoda; Introduction to the variables in my data: ID: key variable; N_LATITUDE: latitude measured by GPS; E_LONGITUD: longitude measured by GPS; LIVES: attribute data I get the different result of Moran's between ARCGIS and Geoda, R, why? ARCGIS:spatial statistics tools:spatial

Hi all, Using XenServer with a RHEL6 beta VM, I have sar installed on the hypervisor and VM. If I do a ''md5sum < /dev/urandom'' to spike CPU usage on the VM, I see the indication on the XenCenter performance graph on CPU 0. It does increase quickly. Neither sar output gives any sort of indication that the CPU is being loaded. This VM is pinned to both processor 0 and 1

Hi Centos Users The server (ProLiant DL380 G5, Centos 4.3) was not responsible anymore (SSH), fans rotated at full power and the console was blank. After restart it seems to be fine. Now I am analyzing sar statistics (in system logs nothing special, unusual). The hardware monitoring with HP tools didn't work. # sar -P ALL Linux 2.6.9-34.ELsmp (cent061) 01/15/2008 12:00:01 AM

Sar -d reports devices like dev253-0. How can I map these to a mount point? I use a mixture of lvm with ext3 filesytems, plain ext3 filesystems on local storage, and ext3 filesystems on powerpath devices. Any help would be appreciated. _____________________________________ "He's no failure. He's not dead yet." William Lloyd George -------------- next part

Hi! I'm very new user of R! I need to learn more about! My problems are to create a time series with exiting data and to make an study: 1 ) I have column with DD-MM-YR, to transform from string text to date, and use it as to use as time series, I've made the transformation with command "as.date" but how i can say To R that the column "date" is the time column to

Howdy All, I am looking for some good tutorials (books, websites, whatever) for calculating/testing for Spatial Autocorrelation using R. Specifically, I am wanting to test for autocorrelation of a number of variables measured at a set of discrete locations. Up to this point I have been exploring the "spdep" package and I can get "moran.test" to work, but I am concerned that