similar to: PH Model assumption

Dear all, I'm using R 2.8.1 under Windows Vista on a dual core 2,4 GhZ with 4 GB of RAM. I'm trying to reproduce a result out of "Analysis of Financial Time Series" by Ruey Tsay. In R I'm using the fGarch library. After fitting a ar(3)-garch(1,1)-model > model<-garchFit(~arma(3,0)+garch(1,1), analyse) I'm saving the results via > result<-model

Dear All, I have problem installing the 'kinship' package. I used the 'install.packages' from R command line and had no problem installing other packages before. Here is what I get: * Installing *source* package 'kinship' ... ** libs gcc -no-cpp-precomp -I/Library/Frameworks/R.framework/Resources/include -I/usr/local/include -fno-common -g -O2 -c agfit6b.c -o agfit6b.o

Colleagues, I am analyzing data collected during oceanographic cruises. We have conducted many cruises over the last decade. On each cruise we visit ~50 stations. At each station (termed EventNum)we lower an instrument that measures depth, temperature, salinity and oxygen every few seconds as it is lowered through the water. Data from all EventNums on all cruises are stacked, generating a data

I have a file, each column of which is a separate year, and each row of each column is mean precipitation for that month. Looks like this (except it goes back to 1964). month X2000 X2001 X2002 X2003 X2004 X2005 X2006 X2007 X2008 X2009 1 1.600 1.010 4.320 2.110 0.925 3.275 3.460 0.675 1.315 2.920 2 2.960 3.905 3.230 2.380 2.720 1.880 2.430 1.380

(Sorry for obvious mistakes, as I am quite a newby with no Statistics background). My question is going to be what is the gain of logistic regression over odds ratios when none of the input variables is continuous. My experiment: Outcome: ordinal scale, ``quality'' (QUA=1,2,3) Predictors: ``segment'' (SEG) and ``stress'' (STR). SEG is nominal scale with 24

Hi, I am wondering how I can specify no intercept in a mixed model using lmer(). Here is an example dataset attached ("test.txt"). There are 3 workers, in 5 days, measured a response variable "y" on independent variable "x". I want to use a quadratic term (x2 in the dataset) to model the relationship between y and x.

Hello , I have estimated the following model, a sarima: p=9 d=1 q=2 P=0 D=1 Q=1 S=12 In R 2.12.2 Call: arima(x = xdata, order = c(p, d, q), seasonal = list(order = c(P, D, Q), period = S), optim.control = list(reltol = tol)) Coefficients: ar1 ar2 ar3 ar4 ar5 ar6 ar7 ar8 ar9 0.3152 0.8762 -0.4413 0.0152 0.1500 0.0001 -0.0413 -0.1811

Hi, after standardizing my data by dividing each covariate by its mean, the hazard ratio of variables ranges btw ~ 0.5 and 3.55. when i test the PH assumption by cox.zph, rho ranges btw -0.4235863 and 0.359827. visualizing the PH assumption by plot, the plot of scaled schoefeld residuals against transformed time doesn't give a line with slope 0 for all covariates. note that there are 100

Hello, I want to generate data set from Cox PH model with gamma frailty effects. theta(parameter for frailty distribution)=2 beta=1.5 n=300 cluster size=30 number of clusters=10 I think I should first generate u from Gamma(Theta,theta) and then using this theta I could not decide how I should generate the survival times? Is there any package for this? or any document you could suggest? Any

From: Peter Oberparleiter <peter.oberparleiter at de.ibm.com>, Heiko Carstens <heiko.carstens at de.ibm.com> Change s390's sysstub.ph so it can also handle syscalls with six parameters. Signed-off-by: Peter Oberparleiter <peter.oberparleiter at de.ibm.com> Signed-off-by: Heiko Carstens <heiko.carstens at de.ibm.com> --- usr/klibc/arch/s390/sysstub.ph | 73

hauptsturmfuehrer hitchcocks gursin 1nternet Pharmacy & 0vernight Shi,pping! They got X. at nax, and V.aliu.m, Phe-ntermine, S0ma..and other popular products.. It's private, fast, and safe. OverNiteDelivery! C Y http://gxusyu.bgm.sewerage5665pills.us/f74/ Cynthia told the group that she originally took a Circle K clerk job as an interim position while she looked for something

Hi, Re: http://optics.ph.unimelb.edu.au/help/samba/findsmb.1.html http://www.cl.cam.ac.uk/~pb/NSLU2/NSLU2.html#S0500 Could you please advise whether or not "findsmb" should work on a WindowsXP machine?. *'findsmb' is not recognized as an internal or external command, operable program or batch file.* ** I'm trying to set-up a Linksys NSLU2 to run Apache, php and MySQL and am

Dear all, Our institute has an open position for a Ph.D. student on modeling gene network in stem cells. here is the official announcement: --- The Institute for Biomedical Engineering, Department of Cell Biology, RWTH Aachen University Medical School and Helmholtz Institute for Biomedical Engineering, RWTH Aachen University invites applications of highly motivated individuals for a PhD

I'm doing prediction of the survival cases using gene expression profiles(Affymetrix chips). Can somebody tell me how to use the Cox PH model to select genes and make a prediction of survival? Thanks. Guangchun

Dear r-users, I want to use the Cox's ph model to analyze survival data set. How can I extract the model coefs. and Wald test p-value or Score? For example: I use the data set melanom in iSwR package. > library(survival) > data(melanom) > attach(melanom) > cox.model <- coxph(Surv(days,status==1)~sex) > summary(cox.model) Call: coxph(formula = Surv(days, status == 1) ~

Hi All, I'm learning the R codes for Cox PH modeling. Could I ask you what the function of "factor" in modeling? Thank you! When dealing with the categorical covariates (for example 3 groups), it will come out different results if we add the command "factor" in front of the categorical covariate or not: if we don't add "factor", there is only one

Dear R-list users, I am trying to do simulation of survival data to enable it to run under frailty option. Below is the function a that I am using. My questions are: 1. How do I modify it to get bigger (hopefully significant) value of Variance of random effect? 2. What changes do I have to make in the function to run it under correlated frailty model? (may be in kinship package) 3. Is there

Hi All, I have a left truncated, right censored cox model: coxph(Surv(start, stop, censor) ~ x + y, mydata) I would like to know how much of the observed variance (as a number between 0 and 1) is explained by each variable. How could I do that? Adding terms sequentially and then using anova(mod1, mod2) tells me whether I get a significant improvement of the fit, but does not tell me how much

Hello all, I am a medical student and as a capstone for my summer research project I am going to create a simple online web "calculator" for users to input their relevant data, and a probability of relapse within 5 years will be computed and returned based on the Cox PH model I have developed. The issue I'm having is finding a definitive method/function to feed the user's

SCHOOL OF COMPUTING University of Teesside Fully funded University Ph.D. studentship (3 years) Ref: QinOCT11 Applications are invited for a Ph.D. student to work on program analysis and software verification or a closely related topic under the supervision of Dr. Shengchao Qin in the School of Computing in Teesside University. Dr. Qin currently has a number of postdoc and Ph.D students in his