th df = 2 and df = 4.
Thanks,
Jessica
On May 3, 2012, at 10:00 AM, David Winsemius wrote:
On May 2, 2012, at 3:02 PM, Jessica Myers wrote:
Hi,
I am using coxph from the survival package to fit a large model
(100,000 observations, ~35 covariates) using both ridge regression
(on binary covar
e outcome that I'm using has almost
everyone having an event (~98,000 events out of 100,000). I have fit
other models like this with no problem, but on one particular dataset
it fails.
Thanks!
Jessica Myers
Instructor in Medicine
Brigham and Women's Hospital
The information in
ariates I use.
Any help with these problems would be greatly appreciated!
Thanks,
Jessica Myers
Instructor in Medicine
Division of Pharmacoepidemiology
Brigham and Women's Hospital
The information in this e-mail is intended only for the ...{{dropped:7}}
_
Thanks - your last suggestion does seem to work with the ridge
function, but the names of the objects get lost in the process. Is
there a way to keep the object names with get?
Thanks,
Jessica Myers
On Apr 21, 2011, at 11:00 AM, Uwe Ligges wrote:
On 21.04.2011 16:03, Jessica Myers
reted by the function, rather than the object names.
For example,
x1 <- 1:4
x2 <- 2:5
x3 <- 3:6
xs <- c("x1", "x2", "x3")
If I wanted to cbind(x1, x2, x3) without typing this out, how would I
do it?
Thanks very much!
Jessica Myers
Instructor in Me
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