number of covariates which then
> leads to my original problem.
>
>
> From: Erik Iverson [er...@ccbr.umn.edu]
> Sent: Wednesday, August 11, 2010 12:00 PM
> To: Mendolia, Franco
> Cc: r-help@r-project.org
> Subject: Re: [R] Arbitrary number of covariates in a formula
&g
This shoul work:
coxph(Surv(intx, status) ~ . + strata(sex) - sex, test1)
On Wed, Aug 11, 2010 at 1:54 PM, Mendolia, Franco wrote:
> Hello!
>
> I have something like this:
>
> test1 <- data.frame(intx=c(4,3,1,1,2,2,3),
> status=c(1,1,1,0,1,1,0),
> x1=c(0,2,1
ugust 11, 2010 1:05 PM
To: Mendolia, Franco
Cc: Erik Iverson; r-help@r-project.org
Subject: Re: [R] Arbitrary number of covariates in a formula
On Aug 11, 2010, at 1:53 PM, Mendolia, Franco wrote:
>
> I could do that. However, the function f that I mentioned below is
> part of a bigge
Mendolia, Franco
Cc: r-help@r-project.org
Subject: Re: [R] Arbitrary number of covariates in a formula
Are you for some reason against writing your function to accept a
single
argument, a formula, that you simply pass on to coxph?
Mendolia, Franco wrote:
Hello!
I have something like this:
t
: [R] Arbitrary number of covariates in a formula
Are you for some reason against writing your function to accept a single
argument, a formula, that you simply pass on to coxph?
Mendolia, Franco wrote:
> Hello!
>
> I have something like this:
>
> test1 <- data.frame(in
Are you for some reason against writing your function to accept a single
argument, a formula, that you simply pass on to coxph?
Mendolia, Franco wrote:
Hello!
I have something like this:
test1 <- data.frame(intx=c(4,3,1,1,2,2,3),
status=c(1,1,1,0,1,1,0),
Hello!
I have something like this:
test1 <- data.frame(intx=c(4,3,1,1,2,2,3),
status=c(1,1,1,0,1,1,0),
x1=c(0,2,1,1,1,0,0),
x2=c(1,1,0,0,2,2,0),
sex=c(0,0,0,0,1,1,1))
and I can easily fit a cox mo
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