similar to: Zelig, oprobit error

Hello, Could anybody offer any advice about implementing a Kohonen self organizing map for categorical data? Specifically I am wondering if there are any pre-existent packages that can deal with categorical data and/or how one would compare the input vector of categoricals with the self organizing map nodes. Thanks in advance. George Chen ----- Original Message ----- From: r-help-request at

Dear All, I have been struggling to understand why for the housing data in MASS library R and stata give coef. estimates that are really different. I also tried to come up with many many examples myself (see below, of course I did not have the set.seed command included) and all of my `random' examples seem to give verry similar output. For the housing data, I have changed the data into numeric

Hello, First time poster here so let me know if you need any more information. I am trying to run an ordered probit with maximum likelihood model in R with a very simple model (model <- econ3 ~ partyid). Everything looks ok until i try to run the optim() command and that's when I get " Error in rep(1, nrow(x)) : invalid 'times' argument". I had to adapt the code from a 4

Hi, I sent the following e-mail to kexec-mailing list (kexec@lists.infradead.org) since subjects of makedumpfile are discussed on the mailing list. I want to inform this to xen developers since I think this function is useful for xen developers. Thanks. Itsuro Oda (see https://sourceforge.net/projects/makedumpfile/ about makedumpfile command.) Forwarded by Itsuro ODA

This patch is for linux-2.6.18-xen. - get the machine address of the vmcoreinfo area of xen - expose the machine address and the size of the vmcoreinfo area via /sys/hypervisor/vmcoreinfo so that the kexec-tools looks them. Signed-off-by: Itsuro Oda <oda@valinux.co.jp> diff -r e01b3a133ddc drivers/xen/core/machine_kexec.c --- a/drivers/xen/core/machine_kexec.c Wed Jun 11 09:28:01 2008

This patch is for kexec-tools-testing-20080324. --- kexec/crashdump.c.org 2008-03-25 11:51:51.000000000 +0900 +++ kexec/crashdump.c 2008-03-26 09:29:20.000000000 +0900 @@ -110,10 +110,8 @@ return 0; } -/* Returns the physical address of start of crash notes buffer for a kernel. */ -int get_kernel_vmcoreinfo(uint64_t *addr, uint64_t *len) +static int get_vmcoreinfo(char *kdump_info, uint64_t

hello everybody solved the problem with summary, now I have another one eg I estimate > try.op <- polr( > as.ordered(sod.sit.ec.fam) ~ > log(y) + > log(1 + nfiglimin) + > log(1 + nfiglimagg) + > log(ncomp - nfiglitot) + > eta + > I(eta^2) + >

Hi R users I try to use the lme but I can?t!!!!! My script is (some words in french, sorry!!): rm(list=ls(all=TRUE)) #Efface tous les objets en m?moire pour ?viter des erreurs library(MASS) #Chargement des Librairies library(car) library(Hmisc) library(tkWidgets) library(svDialogs) library(multtest) library(nlme) #Rep <- "C:/Documents and Settings/U3M/Bureau/steph/Scripts

Hello All, I try to set up a read only maildir just as in the wiki, to no avail. The extra (public) namespace shows up but I can not susbscribe to it (in thunderbird) or if I change to that "directory" (in mutt), it is empty. Is it the problem mentioned in the wiki (SharedMailboxes#Subscriptions)? If yes, how can I see/use a folder which is not subscribeable? Any help would be

Hi All, This question was brought up some time ago but I never saw a reply so I'd like to bring it up again. When using ROracle package (version 0.5-5), I am unable to run any queries that are greater than 4000 characters in length. If I do, I get the following message: Error in oraPrepareStatement(con, statement, bind=NULL) : RS-DBI driver: (too long a statement -- it must has less than

Hi, --- background ---------------------------------------------------- * what the makedumpfile is: To shorten the size of the dumpfile and the time of creating the dumpfile, makedumpfile copies only the necessary pages for analysis to the dumpfile from /proc/vmcore. You can specify the kind of unnecessary pages with dump_level. If you want to shorten the size further, enable the

How do I apply clustered standard errors (by country) when using "relogit" in Zelig? I can not find a function covering this. [[alternative HTML version deleted]]

Hi! Does somebody out there has experience with the Zelig package from Harvard uni? I have a problem when trying to set the explanatory variables with setx Polytomous logistic regression: >z.out <- zelig(OPARS ~ v1+v2+v3+...+vn, model = "mlogit", data=heb) that's OK >x.out<-set(z.out) Error in seq.Date(along = object) : `from' must be specified #??? I have no date

I'm running an ordered logit in R with the Zelig package and am trying to calculate some predicted probabilities. However, I get the following error message. > x.low <- setx(mod, cars=1)Error in dta[complete.cases(mf), names(dta) %in% vars, drop = FALSE] : incorrect number of dimensions I googled this problem and couldn't find anything, minus a question by me on this same

Hello, I am attempting to "automate" a Bayesian normal linear regression using Zelig. Basically, I have a list containing several zelig() objects, each having a different formula, same data set, and same model (normal.bayes). My problem lies in the setx() method, where I am setting a numeric parameter to a value other than the mean. This is straightforward if I input the parameters

Hi there, I'm wondering what Zelig in the following situation (code below) actually does. Is this considered as a so called regression adjustment after the propensity score matching? library(MatchIt) library(Zelig) data(lalonde) re78 represents the outcome variable 1. With Zelig m.out <- matchit(treat ~ age + educ + black + hispan + married + nodegree + re74 + re75, data = lalonde)

Hey, I want to estimate to regressions. First I want to estimate simple OLS. Since my dependent variable looks like a gamma distribution I want to estimate a gamme regression with the "zelig" package. But, I have some problems with the interpretation of the estimated coefficient. In the OLS the estimated coefficient is negative. In the gamma regression the estimated coefficient is

Dear R-friends, I am trying to use the Zelig library to simulate the following model: z.out<-zelig(formula = y ~ x1*x2 + x3 + x4 + x5, model="ls", data = my.data, weights = my.weights) Since the regression is weighted before running the regression I used the procedure: zelig2ls <- function(formula, model, data, M, ...) { mf <- match.call(expand.dots = TRUE)

Dear all, Does anybody know why the following code returns an error message? >library(MatchIt) >library(Zelig) >data(lalonde) > >m.out1<-matchit(treat~age+educ+black+hispan+nodegree+married +re74+re75, method="full", data=lalonde) > >z.out1<-zelig(re78~age+educ+black+hispan+nodegree+married+re74+re75, data=match.data(m.out1, "control"),

When I use zelig to compute parameter estimates with "model = logit.survey", I receive the following error: Nicholas Carnes. 2007. "logt.surveyWarning message: In eval(expr, envir, enclose) : non-integer #successes in a binomial glm! I believe this is because the model is not using "quasibinomial" (see R-News 2003, Analyzing Survey Data in R, by Thomas Lumley). Is there