I need to analyze multiple T1 contrast enhanced MRI studies from different
patients. They are all in DICOM format. I see that there are different
packages for loading individual studies in DICOM format, however I have had
limited luck so far researching how the different studies can be tranformed
i
I did.But could only find the citation-not an implementation.
On Tuesday, January 1, 2013, David Winsemius wrote:
>
> On Dec 31, 2012, at 4:38 PM, moleps wrote:
>
> Dear all,
>> Is there an implementation of Simon & Makuch method of plotting the
>> survival function with time-dependent variables
Dear all,
Is there a package that allows me to run a sensitivy analysis on a
matched dataset created using MatchIt? I am aware of both rbounds and
the sensitivy function in the twang package but they do not allow
matched objects from MatchIt as input.
//M
011, moleps islon wrote:
>
>> Dear all,
>>
>> Using the SetInternet2(TRUE) option works wonders with R in my sealed
>> down work-environment. However, I'd like to use RCurl and apparently
>> the proxy settings are not carried over. Is it possible to figure out
>
Dear all,
Using the SetInternet2(TRUE) option works wonders with R in my sealed
down work-environment. However, I'd like to use RCurl and apparently
the proxy settings are not carried over. Is it possible to figure out
the proxy-IP and port number from R after invoking SetInternet2?
//M
Dear all,
I did post this more or less identical mail in a follow up to another
question I posted, but under another heading. I try again, but now
under the correct header.
upon running this code (from the Hmisc library-latex function) I
believe the call to summary.formula is allright and produc
I'm sorry for not clearer describing my motive with this--
So this is what I'm trying to do- Take a survival object and utilize
it in ggplot.
ggkm<-function(time,event,stratum) {
m2s<-Surv(time,as.numeric(event))
fit <- survfit(m2s ~ stratum)
f$time<-fit$time
f$surv<-fit$surv
tion quite often whereby I need to add
multiple columns based on another vector so I'd be very interested in
another more general approach.
//M
On Tue, Apr 6, 2010 at 9:41 PM, David Winsemius wrote:
>
> On Apr 6, 2010, at 3:30 PM, David Winsemius wrote:
>
>>
>> On Ap
OK... next question.. Which is still a data manipulation problem so I
believe the heading is still OK.
##So now I read my population data from excel.
pop<-read.csv("pop.csv")
typeof(pop) ## yields a list where I have age-specific population rows
and a yearly column population, where the years are
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