Hi David and Tom
I was having the same problem and was reading through your threads. I
finally tried:
summary(fit, rmean=TRUE)$table[5]
This produced the mean.
Hope this works for you as well.
Casey
--
View this message in context:
http://r.789695.n4.nabble.com/simple-save-question-tp3429148
On Jul 13, 2011, at 1:10 PM, Tom La Bone wrote:
I want to assign the value of rmean from a survfit object to a
variable so
that it can be used in subsequent calculations, which is also what I
interpreted the original poster to want. I did not understand Dr.
Therneau's
answer to the original
I want to assign the value of rmean from a survfit object to a variable so
that it can be used in subsequent calculations, which is also what I
interpreted the original poster to want. I did not understand Dr. Therneau's
answer to the original poster, so I figured I would provide a simple example
a
Just an observation, since this email has no indication of what you're
trying to get at and I'm not inspired to dig back through the list:
On Wed, Jul 13, 2011 at 11:16 AM, Tom La Bone wrote:
>
> No cigar. This is what I get and my session info. Any suggestions?
>>
>> library(survival)
>> library
On Jul 13, 2011, at 11:16 AM, Tom La Bone wrote:
No cigar. This is what I get and my session info. Any suggestions?
First think ... try this
sfit <- summary(fit, rmean = "individual")
sfit$table[5]
Hmmm. Second think. I suppose it's also possible that some of my
unsuccessful efforts last
No cigar. This is what I get and my session info. Any suggestions?
>
> library(survival)
> library(ISwR)
> dat.s <- Surv(melanom$days,melanom$status==1)
> fit <- survfit(dat.s~1)
> print(fit, print.rmean=TRUE)
Call: survfit(formula = dat.s ~ 1)
records n.maxn.start events *rm
On Jul 13, 2011, at 7:34 AM, Tom La Bone wrote:
Well, that took a bit of detective work!
It was a lot more work to do it "my way" than doing it the "right
way", which would have been to read the help page more carefully.
Thanks. I am still not doing
something right here in my efforts to
Well, that took a bit of detective work! Thanks. I am still not doing
something right here in my efforts to implement the "easy way". Can you
point out my error?
>
> library(survival)
> library(ISwR)
> dat.s <- Surv(melanom$days,melanom$status==1)
> fit <- survfit(dat.s~1)
> print(fit, print.rmea
On Jul 12, 2011, at 5:43 PM, Tom La Bone wrote:
Thank you for the reply Dr. Winsemius. Can you take your answer a step
further and, in the context of the simple, reproducible example,
illustrate
how it is done? I would appreciate it.
Tom
The easy way is:
> sfit <- summary(fit)
> sfit$ta
On Jul 12, 2011, at 5:43 PM, Tom La Bone wrote:
Thank you for the reply Dr. Winsemius. Can you take your answer a step
further and, in the context of the simple, reproducible example,
illustrate
how it is done? I would appreciate it.
Of course. Would be happy to take a stab at it but
Thank you for the reply Dr. Winsemius. Can you take your answer a step
further and, in the context of the simple, reproducible example, illustrate
how it is done? I would appreciate it.
Tom
--
View this message in context:
http://r.789695.n4.nabble.com/simple-save-question-tp3429148p3663645.htm
On Jul 12, 2011, at 2:31 PM, Tom La Bone wrote:
Here is a worked example. Can you point out to me where in temp
rmean is
stored? Thanks.
It is not. You need to read the ?print.survfit page:
Value
x, with the invisible flag set to prevent printing. (The default for
all print functions i
Here is a worked example. Can you point out to me where in temp rmean is
stored? Thanks.
Tom
> library(survival)
> library(ISwR)
>
> dat.s <- Surv(melanom$days,melanom$status==1)
> fit <- survfit(dat.s~1)
> plot(fit)
> summary(fit)
Call: survfit(formula = dat.s ~ 1)
time n.risk n.event survi
--- begin inclusion--
Hi,
When I run the survfit function, I want to get the restricted mean
value and the standard error also. I found out using the "print"
function to do so, as shown below,
The questions is, is there any way to extract these values from the
print command?
- en
Hi,
When I run the survfit function, I want to get the restricted mean
value and the standard error also. I found out using the "print"
function to do so, as shown below,
print(km.fit,print.rmean=TRUE)
Call: survfit(formula = Surv(diff, status) ~ 1, type = "kaplan-meier")
records
15 matches
Mail list logo
