>
> The help page for Cuminc says that: "Cuminc is now simply a wrapper around
> survfit of the survival package with type="mstate", only maintained for
> backward compatibility. The survfit object is kept as attribute
> (attr("survfit")), and the print, plot and
something here. Is there a way to get mstate to
report the entire CIF ?
--
- Don
Donald Catanzaro PhD
dgcatanz...@gmail.com
16144 Sigmond Lane
Lowell, AR 72745
479-721-2533
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On Thu, Aug 29, 2013 at 7:32 AM, Michael Dewey wrote:
> At 15:18 28/08/2013, Donald Catanzaro wrote:
>
>> Good Day All,
>>
>> I am working with a diagnostic test and comparing the new test to an old
>> test. Normally I would be able to calcul
advice.
Perhaps someone on the list may have a more constructive comment.
On Wed, Aug 28, 2013 at 9:25 AM, Bert Gunter wrote:
> This is not an R question. Post elsewhere. Better yet, contact a local
> statistical consultant.
>
> -- Bert
>
> On Wed, Aug 28, 2013 at 7:18 AM
wards classification but I cannot seem to
find the appropriate calculations.
Can someone point me to some web resources to determine the appropriate
method to be able to deal with the NULLs ? Resources within the medical
realm would be better (because the rest of the folks would understand them
better)
Good Day All,
I am working on some xyplots using the Lattice Library. My X-axis is
the date and I am reproducing charts similar to those found in the R
Gallery (see here:
http://www.sr.bham.ac.uk/~ajrs/R/gallery/plot_midday_weather_profiles.txt)
However, the key difference is that some of
Good Day,
I have several ASCII data files that I would like to import into R.
They all have a SAS import file which is used to bring the data into SAS
and I am hoping to use this to bring the data into R. There are lots of
variables involved and the ASCII data file is 2308 columns long so I
f the way because I can find out max(out.vector) but
I still need to know what column the max is in. I think the problem is
that I don't know how to manipulate data frames and vectors in R and
need some guidance
-Don
Don Catanzaro, PhD
Landscape Ecologist
dgcatanz...@
Hi All,
I am working on some ordinal logistic regresssions using LRM in the
Design package. My response variable has three categories (1,2,3) and
after using the creating my model and using a call to predict some
values and I wanted to use a simple .5 cut-off to classify my
probabilities int
Good Day All,
I have a negative binomial model which I have developed using the MASS
library. I now would like to develop some predictions from it.
Running the predict.glm (stats library) using type="response" gives me a
non-integer value which was rather puzzling. I would like to confirm
Good Day All,
I have a negative binomial model that I created using the function
glm.nb() with the MASS library and I am performing a cross-validation
using the function cv.glm() from the boot library. I am really
interested in determining the performance of this model so I can have
confiden
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Hi All,
Could someone help me decode what this error means ?
> BIC(nb.80)
Error in log(attr(object, "nobs")) :
Non-numeric argument to mathematical function
>
BTW, nb.80 is a negative binomial glm model created using the MASS
library with the call at the bottom of the message
In the hopes of
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