sas off;
The purpose of parmbuff is to turn off of Rs scanning and resolution of
function arguments
and just provide the bare text between '(' and ')' in the function call.
This is a very powerful construct.
A function would provide something like
sas.on(
)
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Frank E Harrell Jr
distributions), your final
estimators will have the variance of empirical estimators.
Frank
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read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
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Department
(thanks to the
program committee and the speakers) and Kate Mullen and her team did an
extraordinary job in putting the conference together and running it. I
am proud to have been a part of it. Thank you all!
Frank
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at the bottom)
Frank
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PLEASE
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and calibrate.psm
* Added display of predicted risks for cph and psm models even for
the stratified KM method (old default)
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) reveals a large collection of elements, one of
which is an array that contains the MCMC chains. Is there a function to
build the coda object?
Thanks in advance for any suggestions,
Bill Halteman
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On Wed, Oct 7, 2009 at 7:48 AM, Frank E Harrell Jr
f.harr...@vanderbilt.edu mailto:f.harr...@vanderbilt.edu wrote:
Have you tried the rjags package which uses the jags system? It is
much more integrated into R and works quite well. It uses the same
modeling language as BUGS
not just postulate a model and fit it? Why the need for removing
any of your variables?
Stepwise variable selection requires bootstrapping for validation /
stability checking.
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the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained,
reproducible code.
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have enough events (say 15 times 50) to fit a full model
then you don't have enough events to do stepwise regression without
appropriate penalization.
Frank
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Department of Biostatistics Vanderbilt
followed the posting guide though. You didn't state your exact problem
with Design and you didn't include any code. Also note that the Design
package is replaced with the rms package although latex features have
not changed.
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Frank E Harrell Jr Professor and Chair School
note that it is not usually appropriate to compare two ROC areas
for choosing a model as this is too insensitive. It is the same as
taking the difference between two scaled Wilcoxon statistics which is
simply not done.
Frank
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? That seems so ... un-Bayesian ...
Exactly. I hope it doesn't exist. The beauty of Bayes is shrinkage,
borrowing of information, and statement of results in an intuitive way.
Frank
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Department
if there exists a stepwise regression function for the
Bayesian regression model. I tried googling, but I couldn't find
anything.
I know step function exists for regular stepwise regression, but nothing
for Bayes.
Thanks
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-Original Message-
From: Frank E Harrell Jr [mailto:f.harr...@vanderbilt.edu]
Sent: Friday, October 23, 2009 4:04 PM
To: Ravi Varadhan
Cc: jlu...@ria.buffalo.edu; 'Allan.Y'; r-help@r-project.org;
r-help-boun...@r
values. It would be easy to customize cut2 to do that.
Frank
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the fitted relationships (predictions)
rather than the coefficients.
Frank
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Dylan Beaudette wrote:
On Friday 23 October 2009, Frank E Harrell Jr wrote:
Dylan Beaudette wrote:
Hi,
I have fit a series of ols() models, by group, in this manner:
l - ols(y ~ rcs(x, 4))
... where the series of 'x' values in each group is the same, however
knots are not always identical
for lattice to customize this. The output from Predict is suitable for
several graphics models.
Frank
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Aric Gregson wrote:
On Mon, 26 Oct 2009 13:21:23 -0700
Frank E Harrell Jr f.harr...@vanderbilt.edu wrote:
Please send exact code for an example that fails. If possible,
generate the data using a simple simulation to make the example
reproducible.
endtime - c
Aric Gregson wrote:
On Mon, 26 Oct 2009 15:10:42 -0700
Frank E Harrell Jr f.harr...@vanderbilt.edu wrote:
survplot(survest(fit.example1), n.risk=T, conf='none',
cex.n.risk=.85, dots=T, col='gray10', lty=2)
The argument to survplot should be a cph or psm or survfit object (or
a survest result
to and including the current one.
Frank
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x86_64-pc-linux-gnu
arch x86_64
os linux-gnu
system x86_64, linux-gnu
status
major 2
minor 10.0
year 2009
month 10
day26
svn rev50208
language R
version.string R version 2.10.0 (2009-10-26)
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the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
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for an
ordinal dependent variable and ratio/interval independent variables, nor
why rms/Design would not be useful.
Frank
HTH,
Emmanuel Charpentier
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Department
Emmanuel Charpentier wrote:
Le dimanche 08 novembre 2009 à 19:05 -0600, Frank E Harrell Jr a écrit :
Emmanuel Charpentier wrote:
Le dimanche 08 novembre 2009 à 17:07 -0200, Iuri Gavronski a écrit :
Hi,
I would like to fit Logit models for ordered data, such as those
suggested by Greene (2003
statistical method that requires arbitrary
binning of data is problematic. improveProb implements continuous
measures as emphasized by Pencina et al. Their NRI does not use cutoffs.
Frank
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Frank E Harrell Jr Professor and Chair School of Medicine
Department
.
On Mon, Nov 9, 2009 at 11:43 AM, Frank E Harrell Jr
f.harr...@vanderbilt.edu wrote:
Emmanuel Charpentier wrote:
Le dimanche 08 novembre 2009 à 19:05 -0600, Frank E Harrell Jr a écrit :
Emmanuel Charpentier wrote:
Le dimanche 08 novembre 2009 à 17:07 -0200, Iuri Gavronski a écrit :
Hi,
I would
code.
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PLEASE do read
the contrast.rms or contrast.Design functions. They
use the philosophy that getting predicted values is the safest way to go
because you don't need keep track of contrasts/coding. The summary and
plot function in rms and Design are also helpful here.
Frank
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PLEASE do read the posting guide
at 8:26 AM, Frank E Harrell Jr
f.harr...@vanderbilt.edu mailto:f.harr...@vanderbilt.edu wrote:
Michael Dykes wrote:
I have a project due in my Linear Regression class re:
regression on a data
set my professor gave us a hint that there were *exactly *2 sig
tapply using a
vector of possible subscripts (1:n) as the first argument; then you can
use the subscripts selected to address multiple variables.
Frank
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developed functions
for reading in proprietary SAS and SPSS format files, but (AFAIK) the
commercial sector doesn't seem to support reading data from
open-sourced and open-specced R .Rdata files?
Barry
Hi Barry,
Stat Transfer can read and write R binary data frames (.rda files).
Frank
--
Frank E
bootstrap confidence intervals for the ranks.
I provided some code for this a couple of weeks ago.
Frank
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Frank E Harrell Jr Professor and ChairmanSchool of Medicine
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implicitly chosen) you are
requesting lp = linear predictors rather than risk.
Thomas LumleyAssoc. Professor, Biostatistics
tlum...@u.washington.eduUniversity of Washington, Seattle
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
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and provide commented, minimal, self-contained, reproducible code.
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://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
See http://biostat.mc.vanderbilt.edu/SweaveConvert
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-project.org/posting-guide.html
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with having even provided tabs for matrices and tables?
I'll pick up more in response to Max Kuhn's message.
Very best,
Chris
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Department of Biostatistics Vanderbilt University
dataset ? And if the number mentioned might give me a hint on which
column to look at (and maybe transform or ignore for the imputation) ?
Thanks for any advice you might have.
Marc
[[alternative HTML version deleted]]
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for the assistance:
Joseph Hilbe
hi...@asu.edu or jhi...@aol.com
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appreciated, thanks,
Kim
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mailing list
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: 3371-4346
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Ted I can't resist offering my $.02, which is that I'm puzzled why
LaTeX, being free, flexible, and powerful, is used only by millions of
people and not tens of millions.
Frank
On 05/06/2010 03:07 PM, (Ted Harding) wrote:
Replying to Chris's latest message for the sake of preserving the
On 05/06/2010 07:28 PM, (Ted Harding) wrote:
On 06-May-10 23:44:50, Frank E Harrell Jr wrote:
Ted I can't resist offering my $.02, which is that I'm puzzled why
LaTeX, being free, flexible, and powerful, is used only by millions of
people and not tens of millions.
Frank
I think, Frank
for any suggestions.
John
As I recall, the survival probability used in Freedman is not at some
arbitrary time of your choosing, but rather at the average length of
follow-up time anticipated in the study.
Kevin
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mathematics, biometrics and process control
Coupure Links 653
B-9000 Gent
tel : +32 9 264 59 87
joris.m...@ugent.be
---
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suggestion to improve model
performance? and is the picture bad?
5. the picture and data below.
thank you!
http://n4.nabble.com/file/n2164417/scatter.jpg scatter.jpg
http://n4.nabble.com/file/n2164417/pkc-svm.txt pkc-svm.txt
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-validation.
Among other places these are implemented in my rms package.
Frank
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to
the whole R-help list, or what else? I only rule out writing (again) to
the maintainers of the package.
Adelchi Azzalini
--
Adelchi Azzaliniazzal...@stat.unipd.it
Dipart.Scienze Statistiche, Università di Padova, Italia
tel. +39 049 8274147, http://azzalini.stat.unipd.it/
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the posting guide http://www.R-project.org/posting-guide.html
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your original method,
e.g.,
=
tmp- latex(x,
file=x.tex)
@
\include{x.tex}
(not sure what your objection to
this was in the first place).
-Ista
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Department of Biostatistics Vanderbilt University
exact test has a good chance of being
less accurate than an approximate Pearson chi-square test.
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that continuous variable,
then ?cut can help you.
george5000 wrote:
Hello everyone,
I have a data set, and I need to bin my data using a bin width of say
g(n).
Would anyone be willing to tell me how to do this in R?
Thanks
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much appreciated!!
Note that in this case, Fisher's exact test has
a good chance of being
less accurate than an approximate Pearson chi-square
test.
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Department of Biostatistics Vanderbilt
. The Hmisc
package has rcspline.eval and rcspline.restate functions to help, the
latter having an option to express the antiderivative in text form.
Frank
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Department of Biostatistics Vanderbilt
practice in
spectral analysis and ANPOW.
...snip
Bert is correct. Binning is seldom needed and usually distorts. It is the
statistical equivalent of a former governor from Alaska.
Frank
...snip
Sincerely,
KeithC.
My experience in time series is limited so I'll defer to others.
Frank
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in the Hmisc package handles SPSS dates.
Frank
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-both-sides nonparametric regression approaches.
Frank
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https
(glm.nb(mantas~site*year+cosmonth+sinmonth+coslunar+sinlunar+plankton,
data=mydata))
Tim Clark
Department of Zoology
University of Hawaii
Please read the large number of notes in the e-mail archive about the
invalidity of such modeling procedures.
Frank
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graphics.
I haven't seen a variable selection method that works well without
penalization (shrinkage).
Frank
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alternative...)
Marc Carpentier
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PLEASE do read the posting
=list(...) Thanks for
any advice you might have (with adj.to or any alternative...)
Marc Carpentier
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Department of Biostatistics Vanderbilt University
package, the see what is needed in lrm to use it.
Frank
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thought of the parameter adt.to : plot(nomorgam(f2,
adj.to=list(sex=male)) #and female for the other one
But nomogram() still wants me to define interact=list(...) Thanks for
any advice you might have (with adj.to or any alternative...)
Marc Carpentier
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that (1) a forced yes/no decision is acceptable, i.e., a predicted
probability in the middle is forced to be categorized as low or high
as opposed to no decision; get more data, and (2) the
utility/cost/loss function is identical across subjects (which it almost
never is).
Frank
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, minimal, self-contained, reproducible code.
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://packages.debian.org/search?searchon=contentskeywords=ttf2afmmode=filenamesuite=unstablearch=any
Dirk
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be inserted into sigma^2 for the model used.
More severe corrections are probably warranted though.
Frank
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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. The error bars lull us into an assumption that symmetric
confidence intervals are OK, among other things.
Frank
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Greg Snow wrote:
Look at the subplot function in the TeachingDemos package.
A copy of subplot is in the Hmisc package thanks to Greg.
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Jim Lemon wrote:
On 12/04/2009 12:56 AM, Frank E Harrell Jr wrote:
Bar charts with error bars are far inferior to dot charts and other
types of displays. One of many problems is demonstrated if you draw a
bar chart displaying temperature in F then re-draw it on the degrees C
scale. See http
'))
mtitle(Dietary Adherence)
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the
desired label, but I don't know how to add it to the tree.
Best,
Kaida
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file. How many events are in the dataset used
to develop your model? Why did you specify bw=FALSE (which is the
default)? Did you use any variable selection when building the model?
Frank
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Rodrigo wrote:
Frank E Harrell Jr wrote:
Rodrigo wrote:
Hi,
I´m trying to use the calibrate function from rms package (made by prof.
Harrell) after fitting a model using cph. But it returns the following
error
message:
calibrate(modelo1,B=200,bw=F,u=13)
Using Cox survival estimates
the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
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a line break. If you want the sort
of subtitle that one gets in base graphics you will need to be more clear.
[[alternative HTML version deleted]]
Please stop sending HTML formatted material. It takes extra time to edit
out the wasted space.
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a
2 0 1 0 b
3 0 0 1 c
4 1 0 0 a
How would I do this? Thanks,
Dan
Daniel Nordlund
Bothell, WA USA
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, and
can tell me how they did it?
Alternatively, could some, very kind, person try and open the Splus
files, and save them in a R-readable format?
I would be extremely grateful for any help on this.
Best regards,
Gustaf Rydevik
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read the posting guide http://www.R-project.org/posting-guide.html
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code.
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