similar to: Multivariate Poisson GLM??

Hi R users, I'm using the survey package to calculate summary statistics for a large health survey (the Demographic and Health Survey for Honduras, 2006), and when I try to calculate the variances for several variables, I get negative numbers. I thought it may be my data, so I ran the example on the help page: data(api) ## one-stage cluster sample dclus1<-svydesign(id=~dnum, weights=~pw,

Hello list, I?ve been trying to get OpenBUGS running on my mac using the wine emulator. I can run Openbugs just fine by doing: wine ~/OpenBUGS312/OpenBUGS.exe In the terminal, so OpenBUGS works. When I try to run the schools example using rbugs(), the OpenBUGS process starts in wine, but it just sits there, no log, no script, no output of any sort. The rbugs () call makes the init,

> Dear list, > > I have some data on a geneaology, here is a subset: > warmerge[1:11,c(1,6,25)] > Warrior SibID birth.year > 1100 3793 2013 1926 > 4 2013 2024 1934 > 1094 3769 2024 1918 > 632 2747 2037 1928 > 176 2083 2039 1944 > 187 2085 2039 1949 > 192 2086 2039 NA > 495

Dear list, I have the function (as a simple example, which is actually part of a larger function) pres.test<-function(N0=N0, N1=N1) { dt<-5 r<-log(N1/N0)/dt r } which calculates the annual growth rates in a population Where N0 is the population classified into age intervals, say 5 years, at time=1995, and N1 is the population by 5 year age classes at time=2000.

Dear R users, I am interested in taking the columns from multiple dataframes, the problem is that the different dataframes have different combinations of the same variable names, here's a simple example: a<-rep(1:10) b<-rep(1:10) c<-rep(21:30) d<-rep(31:40) dat.a<-data.frame(a,b,c,d) names(dat.a)<-c("a", "b", "c", "d")

Good day R-listers, My question is more a statistical question than an R related question, so please bear with me i'm currently applying the chow test of poolability in fact i'm working with panel N=17 T=5 , and my model looks like this : Yit= a0+B1X1+B2X2+B3X3+B4X4+eit My question is the following when i'm Testing for the equality of the coefficients of the unpooled data (the

Hi, Looking for a function in R that can help me calculate a parameter that maximizes the likelihood over groups of observations. The general formula is: p = exp(xb) / sum(exp(xb)) So, according to the formulas I've seen published, to do this "by group" is product(p = exp(x_i * b_i) / sum(exp(x_i b_i))) Where i represents a "group" and we iterate through each group.

? Dear all,? ? ? I am new in the R environment. How can I enable political boundaries in R? I want plot a variable (e.g., temperature) only for Mozambique. ? ?Sincerely, ? Arlindo ? ? ? Arlindo ____________________________________________________________________________________ Veja quais s?o os assuntos do momento no Yahoo! +Buscados http://br.maisbuscados.yahoo.com

Hi all, I am working for my master's thesis and I need to do a neural network to forecast stock market price, with also external inputs like technical indicators. I would like to know which function and package of R are more suitable for this study. Thanks a lot for your response, Arnaud TREBAOL. -- Arnaud Trébaol T.I.M.E. Student Ecole Centrale de Lille (09) Politecnico di Milano (10)

Dear R-users, I am looking for a R function that would be the equivalent of the SAS proc freq ( http://support.sas.com/documentation/cdl/en/procstat/63104/HTML/default/viewer.htm#/documentation/cdl/en/procstat/63104/HTML/default/procstat_freq_sect006.htm). The table, ftable, xtabs functions are close but do not quite offer the same capabilities (e.g. they just return counts and no %ages as far as

Hi, I have a set of nodes and a dissimilarity matrix for them, as well as a csv file in which the diss matrix has been converted to [node_1, node_2, dissimilarity] format. I would like to visualize this as a graph in Euclidean space (that is, similar nodes clumped together in clusters), rather than the seriation visualization given by dissplot(). I am using Network WorkBench for my

* Please cc me if you reply as I am a digest subscriber * Hi, I am wondering how I can run a multilevel survival model in R? Below is some of my data. > head(bi0.test) childid famid lifedxm sex age delta 1 22.02 22 CONTROL MALES 21.36893 0 2 13.02 13 MAJOR MALES 21.18001 0 3 64.02 64 CONTROL MALES 20.09377 0 4 5.02 5 CONTROL FEMALES

Dear list, I am fitting a logistic multi-level regression model and need to test the difference between the ordinary logistic regression from a glm() fit and the mixed effects fit from glmer(), basically I want to do a likelihood ratio test between the two fits. The data are like this: My outcome is a (1,0) for health status, I have several (1,0) dummy variables RURAL, SMOKE, DRINK, EMPLOYED,

Dear R list, I have an event history data set that is structured like this: Legislative act Discussion Agreement Time Event Act1 2006-05-30 2006-06-19 20 1 Act2 2004-03-01 2004-06-14 105 1 . . . I have information on the meetings in the legislature between adoption periods in a separate variable (the

R won't appear under the applications. Go to the terminal (in the accessories menu) and type R. It will run in command line. You might also want to install r-base-dev if you want to compile libraries. Corey S. Sparks, Ph.D. Assistant Professor Department of Demography and Organization Studies University of Texas San Antonio One UTSA Circle San Antonio, TX 78249 email:corey.sparks at

Hi, I have a dataset which has a categorical variable "R",a count variable C (integer) and 4 or more numeric variables (A,T,W,H - integers) containing measures for "R". I would like to summarize each level of the variable R by the average for A,T,W and H. I have written a function to calculate weighted averages using C as the weight and this is given below. The function

I am trying to read a SAS dataset into R that is in a .SD2 format, which is the Version 6 standard format from SAS. I see the routines that read the SAS XPORT format (foreign, Hmisc), but is there any way to read this one? Any help would be greatly appreciated. Corey Sparks Corey Sparks Assistant Professor Department of Demography and Organization Studies University of Texas-San Antonio One UTSA

Dear list, I am trying to use gregexpr to see if entries in a dataframe have either of two possible values for a string. here's an example text<-c("fat", "rat", "cat", "dog", "log", "fish") If I just wanted to find if any one of the elements in text match the pattern "at" I would do gregexpr("\\at", text)

Hello, I am running R 2.6.1 on windows xp I am trying to fit a cox proportional hazard model with a shared Gaussian frailty term using coxme My model is specified as: nofit1<-coxme(Surv(Age,cen1new)~ Sex+bo2+bo3,random=~1|isl,data=mydat) With x1-x3 being dummy variables, and isl being the community level variable with 4 levels. Does anyone know if there is a way to get the standard error

Dear list, I am using svyglm in the survey library to fit a binomial logistic regression accounting for sample design. The documentation says the models are not fit by maximum likelihood, so my question is what is the fitting method? Pseudo likelihood? Generalized least squares? Thanks for any insight. Best, Corey Corey Sparks Assistant Professor Department of Demography and