names() is a great function for finding out how to get info from objects of unknown structure, so try: names(out)
2009/3/10 Λεωνίδας Μπαντής <bleonida...@yahoo.gr>: > > Hi there, > > I am beginner in R and I have some basic question. Suppose I run a common > procedure such as a t test or cox model like below: > > out<-coxph( Surv(tstart,tstop, death1) ~ x1+x1:log(tstop+1) , > test1,method=c("breslow")) > > Which yields the following result: > > Call: > coxph(formula = Surv(tstart, tstop, death1) ~ x1 + x1:log(tstop + > 1), data = test1, method = c("breslow")) > > coef exp(coef) se(coef) z p > x1 -9.58 6.89e-05 6.83 -1.40 0.16 > x1:log(tstop + 1) 6.90 9.93e+02 5.63 1.23 0.22 > Likelihood ratio test=2.97 on 2 df, p=0.226 n= 120 > > > Now I simply want to create an array (let "a") with the coefficients. I.e. I > want > > a<-c(-9.58, 6.90) > > Generally how can take the elements I want from the output matrix above for > further manipulation? > > Thanks in advance for any answer!! > > > > > > ___________________________________________________________ > ×ñçóéìïðïéåßôå Yahoo!; > ÂáñåèÞêáôå ôá åíï÷ëçôéêÜ ìçíýìáôá (spam); Ôï Yahoo! Mail > äéáèÝôåé ôçí êáëýôåñç äõíáôÞ ðñïóôáóßá êáôÜ ôùí åíï÷ëçôéêþí > ìçíõìÜôùí http://login.yahoo.com/config/mail?.intl=gr > > [[alternative HTML version deleted]] > > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > > -- Mike Lawrence Graduate Student Department of Psychology Dalhousie University Looking to arrange a meeting? Check my public calendar: http://tinyurl.com/mikes-public-calendar ~ Certainty is folly... I think. ~ ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.