similar to: bug?

I installed the latest version of R (Version 0.50 Alpha-4) and it breaks survival4 as follows (it worked fine under Version 0.50 Alpha-3) R> library(survival4) Autoloading required library: splines R> survfit(Surv(runif(25),rbinom(25,1,0.4)) ~ 1) Error in eval(frame, data)[subset, , drop = FALSE] : incorrect number of dimensions Thanks E. S. Venkatraman

Hello all. I've been attempting to utilize the "survival" pkg ( http://cran.r-project.org/web/packages/survival/index.html), while reading through this guide (http://www.ms.uky.edu/~mai/Rsurv.pdf). I figured working through the guide would be the best way to go, before attempting my own data. I tried to utilize the Kaplain-Meier estimator as shown in the guide:

The new code seems to have broken various things. Autoloading of libraries doesn't seem to work: > library(survival4) Autoloading required library: splines Error in pos.to.env(pos) : invalid "pos" argument > search() [1] ".GlobalEnv" "library:survival4" "library:date" [4] "library:base" The coxph function the

The new code seems to have broken various things. Autoloading of libraries doesn't seem to work: > library(survival4) Autoloading required library: splines Error in pos.to.env(pos) : invalid "pos" argument > search() [1] ".GlobalEnv" "library:survival4" "library:date" [4] "library:base" The coxph function the

I have a function that generates data and tries to apply the survfit within it. I have tried: function(..){ x ..... survfit(Surv(tim,sts) ~ grp, data = x, envir = sys.frame(sys.parent())) } but I still get "Error: Object "x" not found". Is there a fix? (I use R-0.63.2 with the current survival4 package) Thanks E. S. Venkatraman

Hi there, Here is a record of an R session: > library(survival4) Autoloading required package: splines > coxph(Surv(c(1,2,3,4), c(1,1,1,1)) ~ c(1,0,1,0)) Error in .C("coxfit2", iter = as.integer(iter.max), as.integer(n), as.integer(nvar), : C/Fortran function not in load table Why is "coxfit2" not in the load table? How do I fix it? System is Linux. Goran

Dear R users, i try to calculate the probabilty to survive a given time by using the estimated survival curve by kaplan meier. What is the right way to do that? as far as is see i cannot use the predict-methods from the survival package? library(survival) set.seed(1) time <- cumsum(rexp(1000)/10) status <- rbinom(1000, 1, 0.5) ## kaplan meier estimates fit <- survfit(Surv(time,

Hi, I'm using the rsept for WINDOWS 95 (with modified men?, and "fixed" survival4). See the Ennapadam Venkatraman's example made in date 35/07/97 19.02 Ennapadam Venkatraman wrote: > library(splines) > library(survival4) > xx <- NULL > xx$ftim <- exp(-runif(100)) > xx$ctim <- 2*runif(100) > xx$sts <- 1*(xx$ftim <= xx$ctim) > xx$otim <-

I am fitting a coxph model on a large dataset (approx 100,000 patients), and then trying to estimate the survival curves for several new patients based on the coxph object using survfit. When I run coxph I get the coxph object back fairly quickly however when I try to run survfit it does not come back. I am wondering if their is a more efficient way to get predicted survival curves from a coxph

hie l would like to create a 6th column "actual surv time" from the following data the condition being if censoringTime>survivaltime then actual survtime =survival time else actual survtime =censoring time the code l used to create the data is s=2 while(s!=0){ n=20 m<-matrix(nrow=n,ncol=4)

Hi, I was thinking to ask the University computing Labs here to install R and I was told they need a statement that the software (R) is Y2K compliant. Which I cannot find in CRAN. (in addition to the licensing info). Is it a big issue to put such a statement in R? or this has legal implications that R do not want as a "free" software? If possible I would like to see the statement on

Hello users, I would like to obtain a survival curve from a Cox model that is smooth and does not have zero differences due to no events for those particular days. I have: > sum((diff(surv))==0) [1] 18 So you can see 18 days where the survival curve did not drop due to no events. Is there a way to ask survfit to fit a nice spline for the survival?? Note: I tried survreg and it did not

On a PMac 7200 (running LinuxPPC 3Q 99), trying to install "R-ctest-0.9.R16-1.ppc.rpm" and "R-splines-2.0.R3-3.ppc.rpm" rpms currently in the linuxppc binary download directory results in error messages saying that files in these rpms conflict with files from R-base 1.01-1. Of course, "R-rpart" and "R-survival4" then also can't be installed because the

I downloaded binary of survival5 for windows95 (also the splines, date). The function survsum shows up in content, has a help page, but the function itself is missing. Can we cut and paste the survsum from survival4 ? Mai Zhou P.S. I am not picking on R, not even complaining. I think R is great and I am try to contribute my (small) part to make it even better in way of bug report (or

Hmm... I have the same problem on hpux10.20. I put the additional libs into a subdir called contrib, and R INSTALL from there. I have R-0.61.1 Alpha Dec21 1997. Without restored data they work OK. Osman > ---------- > From: Goran Brostrom[SMTP:gb at stat.umu.se] > Sent: Tuesday, January 27, 1998 3:07 AM > To: r-help at stat.math.ethz.ch > Subject: R-beta: survival4 > >

Hello R users I have a question with Kaplan-Meier Curve with respect to my research. We have done a retrospective study on fillings in the tooth and their survival in relation to the many influencing factors. We had a long follow-up time (upto 8yrs for some variables). However, we decided to stop the analysis at the 6year follow up time, so that we can have uniform follow-up time for all the

Full_Name: Victor Moreno Version: 2.2.0 OS: windows Submission from: (NULL) (213.151.99.160) summary of an object class Surv (package survival) hangs and closes R 2.2.0 I would like to have Surv objects in a data frame to build models easier: t<-rexp(100) s<-rbinom(100,1,.3) surv<-Surv(t,s) x1<-rnorm(100,10,2) x2<-rnorm(100,10,2) dat<-data.frame(surv,x1,x2)

Hi all, I have installed in R 2.6 the survival package and I am trying to analyze some data and present plots. The problem occurs when I try to plot lines on the same plot. E.g. take simulated data for time (t), event (e) and groups (group1 and group2) and do: ### this is how I create the plots plot1<-survfit(Surv(t,e)~ as.factor(group1)) plot2<-survfit(Surv(t,e)~ as.factor(group2))

Hi, I am trying to simulate a regression on survival data under a few conditions: 1. Under different error distributions 2. Have the error term be dependent on the covariates But I'm not sure how to specify either conditions. I am using the Design package to perform the survival analysis using the survreg, bj, coxph functions. Any help is greatly appreciated. This is what I have so far:

OK, I am forwarding this to the r-help. In the original message I simply hit reply and I thought I send to ALL r-help list. (apparent not) also I recieved another piece of mail.....about the RNG in Splus 4.0 or later indicating it was modified and getting worse. I only have Splus 3.4 for HP. So I cannot try it. This makes the idea of using the pre-generated RN on CDROM more appealing.. Mai