similar to: I need help for creating a "timevar"

When I run R CMD check on the survival package I get one error message that I have not been able to figure out: survfitCI: no visible binding for global variable 'n.nevent' I've examined the code and can't see the problem -- the variable in question appears several times. Is there as way to find out EXACTLY what line it objects to? Terry T

Hi, How can I pass the following data to te queuelog via ami?? Agent,data. ?? I'm doing this: Action: QueueLog\r\nQueue: queueprueba\r\nEvent: Login\r\n\r\n And thath works fine getting the log with the event but I cant find how to pass the agent and data parameters Any idea? Thnks -------------- next part -------------- An HTML attachment was scrubbed...

Hi I have a data.frame with 2 columns. The first column is an ID column. The other columns are description of the ids. There is more than one description for each Id. Want I want to get as a value is a data.frame where each row corresponds to one ID and has as many columns as different descriptions. I have used a very convoluted step, but I'm very convinced there is an easier way to do

I have two waves of a survey given to students at various middle schools and high schools, with student id numbers for each student. I am having difficulty reshaping the file from long to wide. My code is below: library(foreign) svy <- read.spss("studsur4.SAV") svy.wide <- reshape(svy, timevar="WAVE", idvar="id", direction="wide")

Hello All, I was wondering if it's possible to reshape data from long to wide in R without using a "timevar". I've pasted some sample data below along with some code. The data are sorted by Subject and Drug. I want to transpose the Drug variable into multiple columns in alphabetical order. My data have a variable called "RowNo" that functions almost like a

Dear R-Users I have created the following table in R: Year TACC.SNA1 Catch.SNA1 TACC.SNA2 Catch.SNA2 TACC.SNA3 Catch.SNA3 111 1985-86 9396 18595 1860 530 1486 16727 112 1986-87 3155 12195 9506 7067 4991 2300 113 1987-88 6913 2074 3740

Dear all, is there a function similar to extractAIC based on which I can extract the BIC (Bayesian Information Criterion) of a coxph model? I found some functions that provide BIC in other packages, but none of them seems to work with coxph. Thanks, Michael [[alternative HTML version deleted]]

Problem################################################################# I am having a problem combining a matrix and elements of a list into one data frame. Data#################################################################### The matrix is ludwig.results and dim of matrix is 213,8. The list is called symbols and its length is 213. Following is an example the structure of my matrix

Hello. I'm using as.ffdf(mydataframe) to create ffdf objects inside an lapply loop and returning that. I then use crbind to combine the lapply results into allData. So...simplified flow looks like this. res <- lapply(1:nchunks, function(n) { blah blah with nth chunk mydataframe <- data.frame(blah blah) dat <-

Hi! Just updated to 1.0 rc15, but the problem remains. I think it could be client-dependent to some extent. I have only IMAPS access and Maildir. I have one mailbox which contains some 10,200 mails. That mailbox takes forever (have waited 30 minutes and then aborted) to open with Thunderbird 1.5.0.7. Other mailboxes (like dovecot :-), only 6984 mails) opens quickly. When Thunderbird tries to

Hello everyone, I am searching for a covariate selection procedure in a cox model formulated as a counting process. I use intervals, my formula looks like coxph(Surv(start,stop,status)~ x1+x2+...+cluster(id),robust=T) where id is a country code (I study occurence of civil wars from 1962 to 1997). I'd like something not based on p-values, since they have several flaws for this purpose. I turned

Dear List: I have a data manipulation problem that I was unable to solve in R. I did it in SQL, and it may be that the solution in R is to do it in SQL, but I wondered if people could imagine a vector-based solution. Imagine a list A[i] of observers who observe some set of events B[j]. Each observer i may observe one or more events, and each event j may have been observed by one or more

I'm running samba 3.0.23c on aix 5.3 TL4. I'm using Tivoli HSM 5.3.4.0 on a JFS2 filesystem. Samba compiled fine, and I set "dmapi support = yes" in smb.conf, but samba wouldn't recognize offline files ("migrated files" in tsm terminology). After setting a higher log level I think I've tracked down the problem. The patch is at the bottom of this email.

Dear list: Thanks a lot for help. I have a question and I could not find clear answers easily. When we do logistic regression for one type of events of interest as a proportion of a broader types of events, does the logistic regression assume that the number of whole types of events should be independent with the number of type of interest? For example, if one type of events and the whole type

Hi everyone. There's been several threads on baseline hazard in Cox model but I think they were all on cumulative baseline hazard, for instance http://tolstoy.newcastle.edu.au/R/help/01a/0464.html http://tolstoy.newcastle.edu.au/R/help/01a/0436.html "basehaz" in package survival seems to do a cumulative hazard. extract from the basehaz function: sfit <- survfit(fit) H

I have written two functions which do useful things with panel data a.k.a. longitudinal data, where one unit of observation (a firm or a person or an animal) is observed on a uniform time grid: - The first function makes lagged values of variables of your choice. - The second function makes growth rates w.r.t. q observations ago, for variables of your choice. These strike me as

Hello * I would like to reshape wide the following dataset: > rl <- read.dta("intermedi/rapporti_lavoro.dta") [c("id_rl","prog","sil_pi","sil_cf","sil_dat_avv")] > dim(rl) [1] 12964 5 > object.size(rl) 1194728 bytes > head(rl) id_rl prog sil_pi sil_cf sil_dat_avv 1 638 1 04567XXXXXX

I get the following error message after using the sysfit package's function 'systemfitClassic': Error in data[[eqnVar]] : subscript out of bounds When I do this: MSYS1 <- cbind(Y, Num, F, PO, PD, GO, GD) MigOLS1 <- systemfitClassic("OLS", F ~ PO + PD + GO + GD, eqnVar = "Num", timeVar = "Y", data = MSYS1) and I get this error message: Error in

Folks, I am holding a dataset where firms are observed for a fixed (and small) set of years. The data is in "long" format - one record for one firm for one point in time. A state variable is observed (a factor). I wish to make a markov transition matrix about the time-series evolution of that state variable. The code below does this. But it's hardcoded to the specific years that I

Dear colleagues, I'd like to reshape a datafame in a long format to a wide format, but I do not quite get what I want. Here is an example of the data I've have (dat): sp <- c("a", "a", "a", "a", "b", "b", "b", "c", "d", "d", "d", "d") tr <- c("A",