Okay the data sets dat1 and dat 2 are the same dat1 just has fewer
covariates.
David, I understand your concern with the number of events and number of
variables I am using however. 611 is only the unique times at which the
events occur where as there are 6987 events in my data of 77272
observatio
Since fit3.1 and fit2 are based on different data sets, why would I
expect the same number of events?
Also, when you have a large number of variables, are observations being
deleted due to missing values?
And to echo David W's comments -- it is hard for me to imagine a data
set where this many
On Aug 9, 2012, at 5:53 PM, hazbro wrote:
My sessionInfo is as follows:
R version 2.15.1 (2012-06-22)
Platform: x86_64-unknown-linux-gnu (64-bit)
snip
It will be difficult to reproduce an example here as the data set I
am using
in very large. I can give you an example:
fit3.1<- coxph
My sessionInfo is as follows:
R version 2.15.1 (2012-06-22)
Platform: x86_64-unknown-linux-gnu (64-bit)
locale:
[1] LC_CTYPE=en_GB.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_GB.UTF-8LC_COLLATE=en_GB.UTF-8
[5] LC_MONETARY=en_GB.UTF-8LC_MESSAGES=en_GB.UTF-8
[7] LC_PAPER=C
I've never seen this, and have no idea how to reproduce it.
For resloution you are going to have to give me a working example of the
failure.
Also, per the posting guide, what is your sessionInfo()?
Terry Therneau
On 08/09/2012 04:11 AM, r-help-requ...@r-project.org wrote:
I have a couple of
Hello,
I have a couple of questions with regards to fitting a coxph model to a data
set in R:
I have a very large dataset and wanted to get the baseline hazard using the
basehaz() function in the package : 'survival'.
If I use all the covariates then the output from basehaz(fit), where fit is
a m
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