search for: areal

Dear R-collegues, I'm getting an error message (Error in round) when summarising a glm.nb model, and when using anova.negbin (in R 1.3.1 for windows): > m.nb <- glm.nb(tax ~ areal) > m.bn Call: glm.nb(formula = tax ~ areal, init.theta = 5.08829537115498, link = log) Coefficients: (Intercept) areal 3.03146 0.03182 Degrees of Freedom: 283 Total (i.e. Null); 282 Residual Null Deviance: 353.3 Residual Deviance: 293.3 AIC: -2334000 > summary...

hi,friends, we all know that moran's I index and Geary'C index can be used to test spatial autocorrelation in both the area data and point data, but i only can find something on how to calculate on the data of area, and can't find the methods to perform it on the point data, could anybody give me some information, thanks in advance! -- Kind Regards, Zhi Jie,Zhang ,PHD Department of

...39;m getting a different answer if I look at the AIC(of the fitted model) or the aic in the summary( of the fitted model). Is this correct? Can somebody explain me the difference between the two values? or Is the AIC criterion not appropiated for Poisson models? R session: > t1 <- glm(tax ~ areal, family=poisson(link=log)) > t2 <- summary(t1) > AIC(t1) [1] 2173.717 > t2[5] $aic [1] 35206.69 > t2[12] $aic [1] 35206.69 > t1 Call: glm(formula = tax ~ areal, family = poisson(link = log)) Coefficients: (Intercept) areal 3.19610 0.03029 Degrees of Freedom:...

...39;m getting a different answer if I look at the AIC(of the fitted model) or the aic in the summary( of the fitted model). Is this correct? Can somebody explain me the difference between the two values? or Is the AIC criterion not appropiated for Poisson models? R session: > t1 <- glm(tax ~ areal, family=poisson(link=log)) > t2 <- summary(t1) > AIC(t1) [1] 2173.717 > t2[5] $aic [1] 35206.69 > t2[12] $aic [1] 35206.69 > t1 Call: glm(formula = tax ~ areal, family = poisson(link = log)) Coefficients: (Intercept) areal 3.19610 0.03029 Degrees of Freedom:...

R-users, Can an offset term be included in a Poisson model? I get an error message when trying that: >r3o <- glm(tax ~ areal + offset(o), family=poisson) Error in (if (is.empty.model(mt)) glm.fit.null else glm.fit)(x = X, y = Y, : inner loop 1; can't correct step size In addition: Warning message: Step size truncated due to divergence in: (if (is.empty.model(mt)) glm.fit.null else glm.fit)(x = X, y = Y,...

Hi all ! I would like to simulate spatial lattice/areal data with a conditional autoregressive (CAR) structure, for a given neighbouring matrix and for a autocorrelation "rho". Is there any package or function in R to perform it ? I found the function "CARsimu" in the hdeco library, but this is not what I'm looking for Thanks...

...I see that package gstat has a function that will allow one to do block kriging (krige). However, I cannot find a function that will allow me to do both, Bayesian and block kriging at the same time. My questions are: 1) Can the function "krige.bayes" be made to accommodate data in areal form (rather than point data)? or 2) Does the function "krige" allow for Bayesian inference (i.e., priors, posteriors)? or 3) Is there another package that can do both? or 4) Is there a method for combining functions to do what I would like to do? A response to any and/or all of these...

...CPU load is casual in such situation). This situation occurs several times a week and takes minutes or one hour and during that time it has enormous packet loss. Reboot of the machine usually solves this problem. Because big differencess between rate -- Jan Ostrochovsky technicky spravca IIKS Areal v Karlovej Vsi Univerzity Komenskeho telefon: +421 2 602 99 251

...My questions: (1) Has this kind of fitting already been implemented in the survival library in R? (2) If not: Are there any alternatives/ workarounds in order to get this job done in R anyways? (3) Can you recommend any other (commercial) software to fit this model? Thanks for your great help, I areally ppreciate it! All the best Philipp

Hello, I am new to R and running R version 3.4.3 (2017-11-30), x86_64-apple-darwin15.6.0 (64-bit), macOS High Sierra 10.13.2. I am running the gam package to model disease incidence (negative binomial distribution) as a function of two covariates, and wish to incorporate spatial correlation among areal neighbors, n = 50 polygons, identified by "id". For data observed over discrete spatial units, a Markov random field can be used through the GAM syntax: s(id, bs="mrf", xt = list(nb = nb), where the latter nb refers to an object with a neighbor list. The error is "Error i...

Dear list: I've tried professor Roger Bivand's spdep package for a while, and found it is quite useful. However, when considering the significance test of the local moran's index under the assumption of both normality and randomization, I just can't get a clue from the package's calculating results. I also read professor Luc Anselin's 1995 LISA paper (geographical

Hey all, I'm running * (1.0.9) with some 7960's. When I pick up the handset it often will flap on and off hook eventually hanging up on me and not realizing that I am still holding the handset. These phones are running with the SIP 7.5.0 image on a LAN (no NAT). I am not sure if this is a phone issue or an Asterisk setting. Ideas?

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

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

Hello R users, I have two data sets like the following. Form of dataset: data: X1 X2 X3 X4 X5 1902 RE 3 594 9 1903 RE 3 1340 7 1904 AA 3 760 14 1908 RE 4 1759 18 1909 EX 2 387 1 2901 AU 6 3116

On 15/04/2019 10:31, Larry Rosenman via dovecot wrote: > It always shows the autoindex. And yes built from sources.? I'm the > FreeBSD port maintainer for mail/docecot.? This has been happening for > several releases. > > Get Outlook for Android <https://aka.ms/ghei36> > > ------------------------------------------------------------------------ > *From:* dovecot

I'll run a full test when I'm back in front of areal computer vs. My phone.(in a few hours) Get Outlook for Android<https://aka.ms/ghei36> ________________________________ From: dovecot <dovecot-bounces at dovecot.org> on behalf of John Fawcett via dovecot <dovecot at dovecot.org> Sent: Monday, April 15, 2019 3:57:08 AM To: Doveco...

...d as well if necessary. ler & ler at lerctr.org *ARE THE SAME MAILBOX* On Mon, Apr 15, 2019 at 4:05 AM John Fawcett via dovecot < dovecot at dovecot.org> wrote: > On 15/04/2019 10:59, Larry Rosenman via dovecot wrote: > > I'll run a full test when I'm back in front of areal computer vs. My > phone.(in a few hours) > > Get Outlook for Android <https://aka.ms/ghei36> > > ------------------------------ > *From:* dovecot <dovecot-bounces at dovecot.org> > <dovecot-bounces at dovecot.org> on behalf of John Fawcett via dovecot > &lt...

...o->evtchn_upcall_mask)=0 */ \ +(pred) st1 [clob] = r0, MASK_TO_PEND_OFS \ + ;; \ + /* if (vcpu->vcpu_info->evtchn_upcall_pending) */ \ +(pred) ld1 clob = [clob] \ + ;; \ +(pred) cmp.ne.unc pred_clob, p0 = clob, r0 \ + ;; \ +(pred_clob)XEN_HYPER_SSM_I /* do areal ssm psr.i */ + +#define RSM_PSR_I(pred, clob0, clob1) \ + movl clob0 = XSI_PSR_I_ADDR; \ + mov clob1 = 1; \ + ;; \ + ld8 clob0 = [clob0]; \ + ;; \ +(pred) st1 [clob0] = clob1 + +#define RSM_PSR_I_IC(clob0, clob1, clob2) \ + movl clob0 = XSI_PSR_I_ADDR; \ + movl clob1 = XSI_PSR_IC; \ +...