similar to: : newbie estimating survival curve w/ survfit for coxph

Greetings, \Sexpr{} has worked on MikTex with earlier versions of R, I can not seem to get it to work with R-2.4.0. I run Sweave with MikTex using the following statement in Run under Accessories. latex -include-directory="C:\Program Files\R\R-2.4.0\share\texmf" "C:\Documents and Settings\Suzette\Desktop\MyFile\MyProgram.tex" Any advice would be much appreciated, Suzette

I would like to add two horizontal lines representing acceptible drug levels to a trellis plot. I tried using abline and I get an error that "plot.new has not been called." See below. xyplot(FK~WEEK|Event1/MRN, data=FKdat.o1) abline(h=5) abline(h=10) Error in int_abline(a = a, b = b, h = h, v = v, untf = untf, ...) : plot.new has not been called yet Any help that can be provided

Greetings, I implemented BRugs to run the EWOC model with a cohort size N=1. I output the simulation data using bugsdata(data), where data is the following list. > data $Dose [1] 140 $Y [1] 0 bugsdata(data) puts out the file data.txt as follows. list(Dose=1.40000E+02, Y=0.00000E+00) after I type the following line modelData("data.txt")

Greetings, Does anyone know how to get an id number in the little header above each individual plot within a trellis plot? The default seems to be to print the word id and add a line indicating on a linear scale where the current id sits. Thanks in advance for any help you can send, Suzette ================================= Suzette Blanchard, Ph.D. Research Scientist Frontier Science

I am not able to download packages ("xtable") from CRAN not even just a .zip file, I get that the page can not be found. Please could you help? Suzette ================================= Suzette Blanchard, Ph.D. Research Scientist Frontier Science

Greetings, I would like to use a cubic spline or smoother to model the fixed effects within nlme. So far the only smoother I have been able to get to run successfully in nlme is smooth(). I tried smooth.spline: fixed=list(lKa~1,lCL~smooth.spline(BSA, df=3)) the error I got was the following. Error in model.frame(formula, rownames, variables, varnames, extras, extranames, : invalid

Greetings, I have a simulation of a nonlinear model that is failing. But it does not fail til way into the simulation. I would like to look at the run that is failing and maybe I could if I could capture the seed for the failing run. The help file on set.seed says you can do it but when I tried rs<-.Random.seed print(paste("rs",rs,sep=" ")) I got 626 of them so I

Greetings, I used latex type code in my Rd files. The pdf version using R CMD Rd2dvi --output=PKtools.pdf --pdf --title="PKtools" PKtools man came out quite nice. However, my current HTML version does not tex the latex so there is latex code in the files and looks bad. example problem code: AIC$_c$ or \begin{itemize} \item NLME: \begin{itemize} \item population level:

I am working with geese from geepack, does anyone know how to get the predicted values from this program. I tried the predict function and got the error Error in predict(results.e, newdat = prog) : no applicable method for "predict" Thank you for any help you can send, Suzette ================================= Suzette Blanchard, Ph.D. UCSD-PPRU

Hello, I am trying to setup a SLES9 system as a Samba BDC. The PDC is NT4. I am using an LDAP backend and have installed the smbldap tools. I am following the directions found in the HOWTO and am running into trouble, maybe someone can shed some light on things for me and tell me what I'm doing wrong. I will print the commands I'm using to try and create the samba BDC and we'll go

Hi All, This question was brought up some time ago but I never saw a reply so I'd like to bring it up again. When using ROracle package (version 0.5-5), I am unable to run any queries that are greater than 4000 characters in length. If I do, I get the following message: Error in oraPrepareStatement(con, statement, bind=NULL) : RS-DBI driver: (too long a statement -- it must has less than

I am using the coxph, survfit and summary.survfit functions to calculate an estimate of predicted survival with confidence interval for future patients based on the survival distribution of an existing cohort of subjects. I am trying to understand the calculation and interpretation of the std.err and confidence intervals printed by the summary.survfit function. Using the default confidence

I am confused when trying the function survfit. my question is: what does the survival curve given by plot.survfit mean? is it the survival curve with different covariates at different points? or just the baseline survival curve? for example, I run the following code and get the survival curve #### library(survival) fit<-coxph(Surv(futime,fustat)~resid.ds+rx+ecog.ps,data=ovarian)

Hi It seems that survfit() doesn't accept the argumnet 'error' as below >survfit(fit, error='greenwood') Error in survfit.coxph(fit, error = "greenwood") : unused argument(s) (error ...) Isn't is allowed to do that for a coxph object? Regards Soren Windows XP, SP2 R 2.3.0

--begin inclusion --- I am trying to extract output information from the survfit function in order to generate a matrix of select output for multiple factors. Specifically, I am interested in extracting the number of events (in the output below: 106, 2, 3). The variable names represented in my function (ee) are shown below, but none of those variables correspond to the column of events as shown

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Hi R-helpers, I was trying to put gender='Male' in newdata to create a expected survival curve for a pseudo cohort by using survfit based on Cox regression. My codes are shown below: fit<- coxph(Surv(end, status2)~gender, data=wlwsn1) Summary(fit) coef exp(coef) se(coef) z p genderMale 0.204 1.23 0.0912 2.23 0.025

Hello, How do I get plot.survfit to draw a survival curve with prespecified time periods, say 1 month, 2, months, 3 months, 6 months, 1 year, 2 years etc) instead of the individual times of all events? Sincerely Fredrik Lundgren

Hi, when ploting Kaplan-Meier estimate curves as below, the censoring symbols (crosses) to not change thickness along the lines plot(survfit(surv ~ I(x>=cut.off) ),lty=c(1,2), lwd=2) is there any strightforward way to make it happen? thanks robert -- View this message in context: http://r.789695.n4.nabble.com/censoring-symbols-on-survfit-plot-tp3311283p3311283.html Sent from the R help

Hi all! I am trying to extract output information from the survfit function in order to generate a matrix of select output for multiple factors. Specifically, I am interested in extracting the number of events (in the output below: 106, 2, 3). The variable names represented in my function (ee) are shown below, but none of those variables correspond to the column of events as shown in the output.