similar to: A new task view on survival analysis

Hola Carlos. Muchas gracias. No es exactamente lo que estoy buscando (sería genial ver que alguien tiene un paquete con la prueba de Nam-D'Agostino) pero puedo aprovechar algo de código. Encontré alguna referencia al test de Gronnesby&Borgan en el paquete stcoxgof de Stata, pero estoy torpe para encontrar algo hecho en R (y me extraña que no haya nada) Un saludo, Miguel. De: Carlos

A lo mejor si escribes a los que mantienen la Task-View de R (Survival Analysius) te pueden dar la clave...: CRAN Task View: Survival Analysis*Maintainer:*Arthur Allignol and Aurelien Latouche*Contact:*arthur.allignol at fdm.uni-freiburg.de*Version:*2013-08-09 Y en Stata, como referencia adicional (que puede conducir a algo equivalente en R): http://www.jstatsoft.org/v53/i12/paper Saludos,

Hello again, I m trying to use timereg package as you suggested (R2.7.1 on XP Pro). here is my script based on the example from timereg for a fine & gray model in which relt = time to event, rels = status 0/1/2 2=competing, 1=event of interest, 0=censored random = covariate I want to test library(timereg) rel<-read.csv("relapse2.csv", header = TRUE, sep = ",",

I experienced the following problem with R 1.3.0 which is probably a bug. The program hangs-up if 1.) a coordinate of segments is outside the ploting region and 2.) the option log="x" is used. ## ## works fine ## plot(1,1, xlim=c(0.5, 2), ylim=c(0.5, 2)) segments(0.5 , 1.2, 1, 0.6) segments(0.25, 1.2, 1, 0.6) segments(1 , 1.2, 1, 0.6) ## ## hang-up ## plot(1,1, xlim=c(0.5, 2),

Dear R users, I would like to align two protein sequences using BLAST (bl2seq). The question is whether this programm have been implemented in R. Thank you for your help, Alla.

X-Mailer: VM 7.17 under 21.4 (patch 18) "Social Property" XEmacs Lucid FCC: ~/mail/sent-mail From: Jan.Beyersmann at fdm.uni-freiburg.de --text follows this line-- hi everyone, please find below a job advert for a research position statistical computing in biostatistics, emphasis is on R and survival analysis. see also wangler et al., p. 31-35 in

Dear friends, I have used R for some time now and have a tricky question about the coxph-function: To sum it up, I am not sure whether I can use coxph in conjunction with missing covariate data in a model with time-variant covariates. The point is: I know how "old" every piece that I oberserve is, but do not have fully historical information about the corresponding covariates. Maybe you

hi, recently i discovered the functionability summary.formula, awesome! from the help page i understand that method=reverse allows to summarize all variables on the right hand side of formula (the help page on line 229 wrongly refers to the left? hand side variables) in categories which are determined by a single left hand side variable. my problem is that the argument fun seems not to be

Hello, I just found this message in our dovecot logfiles: "Disconnected: BUG: Unknown internal error" Should I worry about this ? There are no complaints yet (although it is not limited to one user). It seems to occur with different clients (Apple/MacOS mail, Windows/Thunderbird, Pine). We're running dovecot 1.0.10 on Solaris 10 with mboxes (NFS) and local index storage. There are

Hallo, I have a question concerning SVM regression in R. I intend to use SVMs for feature selection (and knowledge discovery). For this purpose I will need to extract the weights that are associated with my features. I understand from a previous thread on SVM classification, that predictive models can be derived from SVs, coefficiants and rhos, but it is unclear for me how to transfer this

Dear all, I just stumbled upon the fact, that when I perform a regression on multivariate responses, that are not centred, I get a ricilulously high R-squared value. After reading the code of summary.lm, I found a bug in the function summary.lm: mss is calculated by: mss <-sum((f - mean(f))^2) - where f are the fitted values. This works only for a single response variable, because

Dear R users, i try to produce the fold change versus fold change plot where i have the values for x and y ranging from 0.01 to 100. So i start with plot(x,y,xlim=c(0.01,100),ylim=c(0.01,100), axes=F). Then i would like both axes to have tick marks as c(0.01,0.1,1,10,100) but they should appear equidistant. How should i manage this? Thank you for your help, Alla.

Hi everyone, I have a question regarding a C function of the "stats" package in R. I tried to understand the ?loglin? basic function of the ?stats? package implemented in R. The implemented function itself runs without any problem (perhaps see sample). When I ran it line by line it stopped at the lines 23-24 of the loglin-function; (the following line): z <- .Call(C_LogLin,

I have compiled and installed OpenSSH 1.2.3 under AIX 4.3.3. The call to configure was: CFLAGS="-I/client/include -L/usr/ruf/lib" \ ./configure --with-egd-pool=/dev/urandom \ --with-afs=/usr/afsws \ --with-kerberos4=/client \ --with-tcp-wrappers \ --with-pid-dir=/etc \ --sysconfdir=/etc \ --with-ipv4-default \

Hello, I have a question about the way Dovecot limits file system access. Currently we're using Dovecot 1.0.5 (Solaris 10). In some cases users have a symbolic link like "z: -> /" in their mail directory. As a result there are log entries like Jan 25 13:30:31 imap1 dovecot: [ID 107833 mail.error] IMAP(xyz):

hi, is there an option to calculate the 'within' & 'between' group variances for a simple ANOVA (aov) model (2 groups, 1 trait, normally distr.) ? or do I have to calculate them from the Sum Sq ? thanks for your time and greetings, gregor -- Gregor Rolshausen PhD Student; University of Freiburg, Germany e-mail: gregor.rolshausen at biologie.uni-freiburg.de tel. :

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Dear R-users Has anybody implemented a function/package that will compute an individual's risk of an event in the presence of competing risks, adjusted for the individual's covariates? The only thing that seems to come close is the cuminc function from cmprsk package, but I would like to adjust for more than one covariate (it allows you to stratify by a single grouping vector). Any

Dear R users I would like to calculate the Cumulative incidence for an event adjusting for competing risks and adjusting for covariates. One way to do this in R is to use the cmprsk package, function crr. This uses the Fine & Gray regression model. However, a simpler and more classical approach would be to implement the Kalbfleisch & Prentice method (1980, p 169), where one fits cause

Hello, a few days ago I switched out UW-server installation to dovecot 0.99.14 (Solaris 9). There were a few client issues, but mostly the migration was ok. But I have still some questions/problems: +) dovecot-auth: ... PAM: pipe() failed: Too many open files I increased the max. number of open files. Is this normal behaviour, that more than 512 open files are needed ? +) we're using mbox