similar to: unable to run spatial lag and error models on large data

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

Dear all, I am new here ,I attempted to use R to estimate the spatial Durbin (mixed) model,and mydata is a panel data form,and the matrix is generated by geoda software ,here is my Command and error,really hope your help ,thank you! #??gal library(spdep) w<- read.gal("E:/splm/zj.GAL",override.id=TRUE) ww<-nb2listw(w,zero.policy=TRUE) #???? library(foreign)

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

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,

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

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

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.

Hello, I have been using the package "spdep" to run spatial regressions on a data set with about 2500 observations. It has performed well up until now, but the following code resulted in an error: > load("Panel.90s.ok.R") > attach(Panel.90s.ok) > neighs<-dnearneigh(cbind(x,y),0,50000) > help(nbdists) > dists<-nbdists(neighs,cbind(x,y)) >

Hello, I am attempting to get the standard deviation in multiple distance bins in my spatial data. It appears as though the 'variog' command in the geoR package will do the trick, as one of the outputs from 'variog' is 'variog$sd', which, according to the manual, is the "standard deviation of the values in each bin". However, when I run this command, the

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?

Greetings to the list, I was trying to estimate spatial error model in R, somehow I got the message below. Would you please help me with it? Many thanks in advance. Error in solve.default(asyvar, tol = tol.solve) : system is computationally singular: reciprocal condition number = 5.6964e-18 Regards, Dong

lag is a very confusing function i try to plot lag(x,-h) and y , the results are the same figures for all the h lags. then i saw online people use lag(x,-h) as xreg in arima that won't work in my eyes if lag function is consistent, isnce it returns the same value for all the lags i don't know in which occasion people will use this function besides I suppose Lag(x,h) is the same as

Hi, I am stuck in a looping problem. It might be an easy problem for experienced R users but I have been unable to do it. Any kind of help or advice will be great appreciated. I am creating a spatial grid and have a list of spatial points in a folder. I can read the spatial points separately and get a count of the points in the spatial grid in R. The output should be a table showing the counts of

We are pleased to announce the following book: Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA Authors: Zuur, Ieno, Saveliev Book website: www.highstat.com Paperback or EBook can be order (exclusively) from www.highstat.com TOC: http://highstat.com/Books/BGS/SpatialTemp/Zuuretal2017_TOCOnline.pdf Summary: We explain how to apply linear regression models,

Dear R users, I am putting together reading and resources lists for spatial statistics and spatial econometrics and am looking for some pointers from more experienced practitioners. In particular, I find two "camps" in spatial modelling, and am wondering which approach is better suitied to which situation. The first camp is along the lines of Venables and Ripley's Chapter 14

Hello Guys I am facing a problem using cifs filesytem on centos 4.3 32 bit to connect to remote shares.we have DAS(Dell md1000) connected to a Dell 2950(win 2003 std).let me descibe the proc which i followed to access thi DAS via 2950.. 1) create a normal user account on Dell2950(win 2003) create 3 folders with names mysqhare1,myshare2,myshare3 in the storage area and assign all permissions to

I am trying to use backgroundrb to execute searches that may take a long time in the background. So a user connects, executes search worker, then periodically pulls to see if result is available using asynchronous javascript request. This way a few long searches don''t make the site unusable to rest by freezing up mongrel connections. Here is the problem - I seem to get a 2-3 second lag

Hi I am runnning redhat 9 (2.4.20-8) I am using HTB (Sorry dont know version) and am also running a web server on the same machine. When I pass alot of traffic through the box it slows down the box ability to contact devices on the lan and also devices trying to contact the web server on that same box, even though i have SFQ as leaf off the deafult. For example the NFS mounts onto the

Please see that correlogram for a arbitrary time series : acf(zooreg(rnorm(39), start=as.yearmon("2008-01-01"), frequency=12)) What is the meaning of lag 0.2, 0.4, ........ in the plot? Those should not be integers? Or I am missing something? Thanks -- View this message in context: http://n4.nabble.com/Meaning-of-lag-0-2-0-4-tp1765093p1765093.html Sent from the R help mailing list

Hello everyone! Quite a similar question has been posed here some time ago, but there was no explicit solution offered. So I hope that it is OK to pose it again. I want to perform a KPSS test using the packages "urca" or "tseries". But I neither want to use the predefined lag structures, "short" and "long", nor specify the number of lags arbitrarily by