; http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
-
Frank Harrell
Department of Biostatistics, Vanderbilt University
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Why do any of that? Those procedures are statistically invalid.
Frank
AndreE wrote:
>
> Thanks Francisco - I've actually realized that ?step can do pretty much
> exactly what I want.
> Andre
>
-
Frank Harrell
Department of Biostatistics, Vanderbilt University
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> [[alternative HTML version deleted]]
>
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> PLEASE do read the posting guide
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> and provid
Rq() accepts a vector argument for tau. I
>>> seem to remember that Koencker's rq() does.. Normally I would
>>> consult the help page, but the power is still out here in Central
>>> Connecticut and I am corresponding with a less capable device. I am
>>>
his was provided for me
> by David Winsemius in response to my query on this list in October 2011
> https://stat.ethz.ch/pipermail/r-help/2011-October/292806.html
>
> The email thread also includes comments by Deepayan Sarkar and Paul
> Murrell.
>
> Rich
>
> On Wed, Fe
ank
Richard M. Heiberger wrote
>
> Frank,
>
> this is it. It uses Peter's idea.
>
> plot(1:10)
> axis(side=2, 1:10, las=1, line=-31.5, lwd=0)
> axis(side=4, 1:10, las=1, labels=FALSE)
>
> Rich
>
>
> On Thu, Mar 1, 2012 at 6:52 PM, Fran
help,
Frank
ilai-2 wrote
>
> On Fri, Mar 2, 2012 at 1:17 PM, Frank Harrell <f.harrell@> wrote:
>> Hi Rich and Peter,
>>
>> What I am trying to do is the right-justify a vector of numbers to the
>> right
>> of the y-axis so that the leftmost digit of all of
text function instead of mtext (remembering to
> set par(xpd=...)), then use the grconvertX and grconvertY functions to
> find the location to plot at (possibly adding in the results from
> strwidth or stheight).
>
> On Thu, Mar 1, 2012 at 4:52 PM, Frank Harrell <f.harrell@> wr
Whoops. I spoke too soon. That last approach does not survive shrinking the
graphics window. I'll go back to the axis and par approach.
Frank
Frank Harrell wrote
>
> Thanks very much for the ideas Baptiste and Greg. I think this is a way
> to go:
>
> # Right justifies
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.
>
-
Frank Harrell
Department of Biostatistics, Vanderbilt University
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___
> R-help@ mailing list
> https://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.
>
-
Frank Harrell
Department of Biostatisti
aybe direclty using Boot package may not be a good idea for
> assessing the overfitting in the regression.
>
> Jim
>
>
> --- On Mon, 5/3/12, Frank Harrell <f.harrell@> wrote:
>
>> From: Frank Harrell <f.harrell@>
>> Subject: Re: [R] 632 estimator usi
original data install of using the gamma model). See the Hmisc function
areg.boot and associated functions for example code.
Frank
-
Frank Harrell
Department of Biostatistics, Vanderbilt University
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b: www.uk-sh.de
>
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> PLEASE do read the posting guide
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> and provide commented, minimal, self-contained, reproducibl
DEADLINE FAST APPROACHING – 8th Annual International R User Conference
useR! 2012, Nashville, Tennessee USA
Registration Deadlines:
Early Registration: Passed
Regular Registration: Mar 1- May 12
Late Registration: May 13 – June 4
On-Site Registration: June 12 – June 15
Please note: Nashville is
gt;>> and provide commented, minimal, self-contained, reproducible code.
>>>>
>>>[[alternative HTML version deleted]]
>>>
>>> __________
>>> R-help@ mailing list
>>> https://stat.ethz.ch/mai
lty = c(1,2))
>
> legend(0.75,0.19,
> legend = c("gD2","PBO"),
> lty = c(1,2), title = "Treatment")
>
> summary(surv.by.vac)
> print(surv.by.vac)
>
>
> __
> R-help@ mailing list
>
_
> R-help@ mailing list
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> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
-
Frank Harrell
Department
where
>> experts in the R community use this option in their book. The book is
>> about
>> 10 years old. So maybe opinion about the use of this option has shifted
>> since then.
>> >
>> > Thanks,
>> >
>> > Paul
>> >
>> > [[alternative HTML version deleted]]
>>
g guide
http://www.R-project.org/posting-guide.html
>>>and provide commented, minimal, self-contained, reproducible code.
>>>
>>>
>>
>>
>>
> [[alternative HTML version deleted]]
>
>
> __
> R
ase, and I would have flipped back to straight R for
> that anyway.
>
> Terry Therneau
>
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> PLEASE do read the posting guide
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-Whitney U test.
Frank
Peter Dalgaard-2 wrote
>
> On Jan 12, 2012, at 14:11 , Frank Harrell wrote:
>
>> The Kruskal-Wallis test is a special case of the proportional odds
>> ordinal
>> logistic model.
>
> Eh? Can you elaborate on that?
>
> I would expect that
This course covers a variety of regression modeling and model validation
methods as well as the R rms package.
Please email interest to eve.a.ander...@vanderbilt.edu
-----
Frank Harrell
Department of Biostatistics, Vanderbilt University
--
View this message in context:
http://r.789695.n4.nabble
e needed R functions
in S-Plus ever happened.
Frank
Uwe Ligges-3 wrote
>
> On 12.01.2012 17:38, Frank Harrell wrote:
>> As a slight aside, Tibco/Spotfire originally planned to provide a
>> capability
>> to load R packages into S-Plus. This always seemed to me to be a
ore
>
>
> Any thoughts or suggestions? Thanks a lot!
>
> Jun Xu, PhD
> Assistant Professor
> Department of Sociology
> Ball State University
>
> __
> R-help@ mailing list
> https
l21.glm <- glm(cbind(Shells, TotalEggs-Shells) ~ HTL:Veg:TotalEggs,
> data.to.analyze, family = binomial)
> Model37.glm <- glm(cbind(Shells, TotalEggs-Shells) ~
> HTL:Veg:TotalEggs:Aeventexhumed, data.to.analyze, family=binomial)
>
> Please advise, thanks!
> J
>
---
lt;20, 20-25, 25-30 and >= 30. I am having
> difficulty figuring the code for <20 and >=30? Please help. Thank you.
>
-
Frank Harrell
Department of Biostatistics, Vanderbilt University
--
View this message in context:
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not be pretty but works for me.
>
>
>> An AIC difference equal or less than 2 is a tie, anything higher is
>> evidence for the model with the less AIC (Sakamoto et al., Akaike
>> Information Criterion Statistics, KTK Scientific Publishers, Tokyo).
>
>
>
; My question here is - i have 124 variables(mix of categorical and
> continuous)
> how would i select(R code) attribute - ie. independent variable from those
> 124 variable(Variable selection) so that i can build a model using glm
>
> pls. give me codes in R- on how to do that
&g
odel
> selection, Jim Lindsey being influent too. Wanting that your models say
> some something about nature is another strong conditioning factor. Put
> this two together and it becomes hard to do model-averaging. And it has
> nothing to do with religion (yuck!).
>
>
Ruben you are mistaken on every single point. But I see it's not worth
continuing this discussion.
Frank
Rubén Roa wrote
>
> -Mensaje original-
> De: r-help-bounces@ [mailto:r-help-bounces@] En nombre de Frank Harrell
> Enviado el: viernes, 27 de enero de 2012 14:
conference that you may also want to
take advantage of.
-
Frank Harrell
Department of Biostatistics, Vanderbilt University
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View this message in context:
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-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
-
Frank Harrell
Department of Biostatistics, Vanderbilt University
--
View this message in context:
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1.
> july - june == 01.3182 0.7899 1.669 0.2870
>
> I'm afraid "Tukey" it is not the correct contrast, but, What should i use
> for a binary response variable?
> Any advice, please?
>
-
Frank Harrell
Department of Biostatistics, Vande
mailing list
> https://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.
>
-
Frank Harrell
Department of Biostatistics, Vanderbilt University
--
orrect results.
> A better way to calculate the beta's is to calculate them directly without
> explicitly calculating an invers
>
> # Better
> # Compute betas, from t(X)X beta = t(Z) y
> # without computing inverse explicitly
> betaAlt <- solve(t(data) %*% data, num)
> betaAlt
>
> Even better is th
her publications.
>
> What is your approach?
>
> Thanks for your help,
> PCJ
>
> __
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> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and p
by Cox
> regression. My question is how to compare the concordance index between
> these two nomograms with R?
>
-
Frank Harrell
Department of Biostatistics, Vanderbilt University
--
View this message in context:
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ssions are welcomed. See
http://biostat.mc.vanderbilt.edu/UseR-2012 for details.
Frank
-----
Frank Harrell
Department of Biostatistics, Vanderbilt University
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Sent from
r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
-
Frank Harrell
Department of Biostatistics, Vanderbilt University
--
View this message in context:
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s
>>
>> __
>> R-help@ mailing list
>> https://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-contai
'cin')[1]
mtext(s, side=4, las=1, at=5, adj=1, line=w-.5, cex=1)
mtext(s, side=4, las=1, at=7, adj=1, line=2*(w-.5), cex=2)
Thanks
Frank
-
Frank Harrell
Department of Biostatistics, Vanderbilt University
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require(rms)
f <- ols(y ~ rcs(age,4)*sex + blood.pressure + rcs(height,5))
latex(f) # typeset algebraic form of model
Function(f) # create an R function that computes Y hat
Frank
-----
Frank Harrell
Department of Biostatistics, Vanderbilt University
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h
__
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> and provide commented, minimal, self-contained, reproducible code.
>
-
R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
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Sent fr
for
this to happen. Consider resampling instead.
Frank
-
Frank Harrell
Department of Biostatistics, Vanderbilt University
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Sent from the R
x, data=d, correlation = corARMA(p=1)) #This works
>>>
>>> I would rather use Gls than gls so that I can represent a variable
>>> with a spline using rcs. I'm using version 3-5.0 of rms in R 2.15.0.
>>>
>>> Thanks for any help you can give.
>>
version deleted]]
>
> ______
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> PLEASE do read the posting guide
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DEADLINE FAST APPROACHING – 8th Annual International R User Conference
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Late-breaking
rms_3.5-0Hmisc_3.9-3 survival_2.36-14
> data.table_1.8.0
>
> loaded via a namespace (and not attached):
> [1] cluster_1.14.2 grid_2.15.0lattice_0.20-6 tools_2.15.0
>
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