Juan Andres Hernandez gmail.com> writes:
>
> Does anyone know how to extract the convergence code of an lmer object. I
> am working in a monte carlo simulation with mixed model and I need to know
> if a model has or not convergence. With unclass(mymodel) the following
> information attr(,"optinf
On Jul 5, 2014, at 9:12 PM, David Winsemius wrote:
On Jul 5, 2014, at 12:43 PM, Axel Urbiz wrote:
Thank you David. It is my understanding that using survfirsurvit
below I get the median predicted survival. I actually was looking
for the mean. I can't seem to find in the documentation how
On Jul 5, 2014, at 12:43 PM, Axel Urbiz wrote:
Thank you David. It is my understanding that using survfirsurvit
below I get the median predicted survival. I actually was looking
for the mean. I can't seem to find in the documentation how to get
that.
options(na.action=na.exclude) # retai
Thank you David. It is my understanding that using survit below I get the
median predicted survival. I actually was looking for the mean. I can't
seem to find in the documentation how to get that.
options(na.action=na.exclude) # retain NA in predictions
fit <- coxph(Surv(time, status) ~ age + ph.e
However,
> format((0.1+0.2)) == format(0.3)
[1] TRUE
Which suggests that if you want to treat measured variables as categories,
one way to do it is to format them first.
Of course, one may have to control the format more carefully than above
(if necessary, see for example ?formatC).
merge() on
On Jul 5, 2014, at 5:28 AM, Axel Urbiz wrote:
Dear R users,
My apologies for the simple question, as I'm starting to learn the
concepts
behind the Cox PH model. I was just experimenting with the survival
and rms
packages for this.
I'm simply trying to obtain the expected survival time (a
Did you inspect the CRAN view for Medical imaging?
http://cran.r-project.org/web/views/MedicalImaging.html
On 3 July 2014 17:09, moleps islon wrote:
> I need to analyze multiple T1 contrast enhanced MRI studies from different
> patients. They are all in DICOM format. I see that there are differen
The subplot function in the TeachingDemos package is more up to date
than the version in Hmisc (the Hmisc version is a copy of an earlier
version of the one in TeachingDemos). If you replace library(Hmisc)
with library(TeachingDemos) (with a recent version of TeachingDemos
installed) then the code
I found this:
https://stat.ethz.ch/pipermail/r-help/2012-August/321057.html
So, use this before drawing the forest plot:
options(OutDec="\xB7")
Best,
Wolfgang
--
Wolfgang Viechtbauer, Ph.D., Statistician
Department of Psychiatry and Psychology
School for Mental Health and Neuroscience
Faculty
I think you are somewhere between
Circle 8.2.6 of 'The R Inferno'
http://www.burns-stat.com/documents/books/the-r-inferno/
and the basics of subscripting
http://www.burns-stat.com/documents/tutorials/impatient-r/more-r-subscript/
Pat
On 05/07/2014 15:19, Witold E Wolski wrote:
Thank you. You
On 05 Jul 2014, at 16:19 , Witold E Wolski wrote:
> Thank you. You example helped to FIX IT.
>
> The problem is I guess somehow related to:
>> class(msexp$pepinfo$transition_group_id)
> [1] "factor"
>
> and the whole R type conversion , riddle.
>
> For subscripts my intuition is: either requ
Thank you. You example helped to FIX IT.
The problem is I guess somehow related to:
> class(msexp$pepinfo$transition_group_id)
[1] "factor"
and the whole R type conversion , riddle.
For subscripts my intuition is: either require integer or do the
"cast" to the rowname type (character).
However,
Dear R users,
My apologies for the simple question, as I'm starting to learn the concepts
behind the Cox PH model. I was just experimenting with the survival and rms
packages for this.
I'm simply trying to obtain the expected survival time (as opposed to the
probability of survival at a given tim
Hi,
This line needs double brackets:
result_1 <- (result[[1]])
With single brackets you're keeping the list object. With double brackets
you're extracting just the object within the list.
Sarah
On Friday, July 4, 2014, Cheryl Johnson wrote:
> When I call matrices from a function, they are cal
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