similar to: zero inflated poisson and censored-continuous models

Perhaps this question has been asked before: but using the function predict( fit,type="terms",se.fit=T), where fit is a coxph object in S-plus, the estimated standard errors are different. It may be different estimators of the variance of the residuals? Which one is the default in R, I don't find that too easily in the documentation. Does anybody know? I'll be very grateful

We are presenty using SAMBA 2.2 w. Windows 2000 sp1 and will be upgrading to Windows 2000 sp3. Are there any known or suspected problems with the combination of Windows 2000 sp3 and SAMBA 2.2. We are using Solaris 7 on the Unix side. /ola Ola Engstr?m Technical Computing & Information Services AstraZeneca R&D M?lndal S-431 83 M?lndal Sweden

Hi, what is the best way to estimate a tobit(truncated) regression model in R ? Is there already a packet available ? Gruss Ralph Leonhardt -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body",

Dear everyone: I am a new user of R. I have a dataset with a dependent variable (DV) censored at different values. The dataset looks like, conditions .....IDV1 IDV2 DV 1 2 4 89 1 6 6 75 1 4 5 0 ( DV<=70) ...... 2 3 5 15 2 5 5 0

Dear R-helpers, excuse me if this is not exclusively an R-related question. I have data from a nested design, both temporally and spatially, and the reponse variable of interest is left-censored. That is, only values > "some treshold" are available, otherwise "LOW" is reported. Are there ways of building a linear model with both fixed and random effects, when the

Hello, I'm searching for a test that applies to a dataset (N=36) with a continuous zero-inflated dependent variable and only one nominal grouping variable with 2 levels (balanced). In fact there are 4 response variables of this kind which I plan to test seperately - the amount of zeroes ranges from 75 to 97%.. I searched the web and found several modelling approaches but have the feeling

Dear all, How can one fit just a fixed effects model in R? lme() seems to require a random component, whereas I am just looking for something like STATA's "xtreg, fe" function. Thanks, Pijus ---- W: 212-588-7897 F: 212-446-1955 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Hello, I have interval censored data, censored between (0, 100). I used the tobit function in the AER package which in turn backs on survreg. Actually I'm struggling with the distribution. Data is asymmetrically distributed, so first choice would be a Weibull distribution. Unfortunately the Weibull doesn't allow for zero values in time data, as it requires x > 0. So I tried the

If I have a set of data comprising a list of numbers of eggs on mosquito guts that range from 1 to 157. How can I get R to draw a barchart of the distribution of the data (i.e. x axis= number of eggs on a gut, y axis=number of mosquitoes found with that number of eggs)? Data is listed below. Thanks, Georgina Number of eggs on each mosquito gut: [1] 1 1 1 1 4 2 1 12 12 1 2

Hi! I have the data in a tab delimited text file titled "ken_data_try_anova." I tried to import it into R entering > read.delim(ken_data_try_anova) but received the error message Error in read.table(file = file, header = header, sep = sep, quote = quote, : object 'ken_data_try_anova' not found I have another file called 10423nad.txt. I tried

Buenos días, Os escribo porque ando trabajando con una base de datos "count data" en R y estoy aplicando varios modelos: Quasi Poisson, Negative Binomial, Zero Inflated Models, Tobit y Tobit con Heckman. Me gustaría profundizar en la interpretación de los modelos (coeficientes y parámetros descriptivos de cada modelo) y los test de comparación entre ellos (Test de Vuong, Wald, Log

Does anyone know how to retrieve the R squared value for a line on a graph? Thanks Georgina

Hi! I am trying to work out the code to get a Fibonacci sequence, using the while() loop and only one variable. And I can't figure it out. Fibonacci<-c(1,1) while (max(Fibonacci)<500){ Fibonacci<-c(Fibonacci, (max(Fibonacci) + ?(Fibanacci))) } How can I tell R to take the value one before the max value? (Without defining another variable) (Probably super easy... I am a

Any ideas what is the problem with this code? > N <- 2; c(Sys.Date(), sprintf('N = %d', N)) [1] "2012-01-10" NA Warning message: In as.POSIXlt.Date(x) : NAs introduced by coercion Best regards, Ryszard Ryszard Czerminski AstraZeneca Pharmaceuticals LP 35 Gatehouse Drive Waltham, MA 02451 USA 781-839-4304 ryszard.czerminski@astrazeneca.com

Hello, I am trying to use augeas via puppet, augeas { "mailops": context => "/files/etc/sudoers", changes => [ "set spec[user = ''%mail-ops'']/user %mail-ops", "set spec[user = ''%mail-ops'']/host_group/host ALL", "set spec[user = ''%mail-ops'']/host_group/command[1] \"/bin/su

Currently as the first column in a data frame I have string values in the format xx_yy - I want to create a new column with just the substring xx (for each row in turn). Three possible ways to do this might be (1) split the string by '_' using strsplit and paste the first of the resulting variables into a new column, but I have been unable to do this for each row of my data frame in turn

Dear All, we (Ott Toomet and I) would like to add functions for maximum likelihood (ML) estimations of generalized tobit models of type 2 and type 5 (*see below) in my R package for microeconomic analysis "micEcon". So far we have called these functions "tobit2( )" and "tobit5( )". Are these classifications well known? How are these functions called in other

The time has come to review the current Contributor and Core contributor grants for ZFS. Since all of the ZFS core contributors grants are set to expire on 02-24-2009 we need to renew the members that are still contributing at core contributor levels. We should also add some new members to both Contributor and Core contributor levels. First the current list of Core contributors: Bill

The following function is based on code I found here in an earlier thread. define sudoer() { augeas { "sudo${name}": context => "/files/etc/sudoers", changes => [ "set spec[last() + 1]/user ${name}", "set spec[last()]/host_group/host ALL", "set spec[last()]/host_group/command NOPASSWD: ALL", "set

Hello R-Users: I am want to use tobit regression for left censored panel/longitudinal data. Could you please provide me the name of "library" and/or "package" that will give me option of fitting tobit regression model for longitudinal data? Thank you. Sattar __________________________________________________ [[alternative HTML version deleted]]