' ), lp=F,
fun.at=c(at.surv, at.surv),label.every=1, force.label=FALSE, cex.axis=0.8,
verbose=TRUE, cex.var=0.8)
Thanks
Min
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is significant (for 10 observations it
should be above 0.64)
Can someone help with this?
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= 0.8)
It takes enormously high time for execution, is there anything wrong in
the script?
Suggest any other similar function available for dropping redundant
variables.
Thanks in advance!
~A
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to estimate the standard error of the quantile in survival
analysis.
Can anyone help me,please?
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.
But I need to estimator the standard error of the quantile in survival
analysis, because my data is censored.
For example~
T-c(84,240,261,332,348,437,521,565)
S-c(0,1,1,0,1,0,1,0) ##0 for censoed; 1 for event
G-rep(1,8)
ori_s.surv-survfit(Surv(T,S)~G)
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Frank Harrell
Department
, Frank Harrell lt;f.harrell@gt; wrote:
Just to address a piece of this - in the case in which you are currently
focusing on only one quantile, the rms package can help by fitting
restricted cubic splines for covariate effects, and then run anova to
test
for nonlinearity (sometimes a dubious
wrote:
The code
library(Design)
f - lrm(y~x1+x2+x1*x2, data=data)
plot(f)
produces a plot of log odds vs x2 with 0.95 confidence intervals. How do I
get a plot of odds ratios vs x2 instead?
Thanks
-
Frank Harrell
Department of Biostatistics, Vanderbilt University
--
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of
the nonlinearity would be imposed at all levels of tau.
--
David
On Nov 5, 2011, at 10:43 AM, Frank Harrell
lt;f.harrell@gt; wrote:
Just to address a piece of this - in the case in which you are
currently
focusing on only one quantile, the rms package can help by fitting
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.
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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
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.
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behaves in a non-ordinal fashion.
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the model as is would be fine for
future predictions?
Thanks for your time,
Adam
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in the initial and final model?
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Terry I would just add that if someone contacts the maintainer and does
not follow the advice of the maintainer, still has problems, and posts a
message to the list, then some time is wasted.
Frank
On 10/12/2011 07:38 AM, Terry Therneau wrote:
You wrote:
It may be best to either write to
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(mintemp,bs=cr)+s(RH,bs=cr)+s(solar,bs=cr)+s(windspeed,bs=cr)+s(transport,bs=cr),family=gaussian
(link=log),groupD,methods=REML) , is it generalized additive mixed model?
3. what the different if I use other criteria such as AIC or BIC?
Anyway, thank all of you!
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Frank Harrell
the logistf package but as I
stepwise simplify the model I don't know if the simplification is
motivated or not... Can anyone explain to me how I should approach this
problem? I have data with y=0 and 1 and three x variables for 328
observations.
Thanks!
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Department
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with B.R. but unfortunately the life of an applied statistician
is complex sometimes :-)
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You sent that question to me individually as well as posting to the group.
Kindly pick the most appropriate place and send to only that.
Frank
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Shanghai, China*
2011/9/1 Frank Harrell lt;f.harr...@vanderbilt.edugt;
cal - calibrate(fit, ...); note that cal is a matrix. colnames(cal)
will
tell you what to pick, in this case cal[,'calibrated.corrected'].
Be sure to follow the posting guide.
Frank
yz wrote:
Dear R users
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, fun = fun,
n = nrow(S), d = sum(S[, 2]), units = units), class =
val.survh)
return(w)
But a much better option would be to report the error to Frank
Harrell. I'm copying him since I think your .txt files probably
reached the list as well as my mailbox
mailing list
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Replace Design with rms (for general reasons not related to your question;
Design is about to be obsolete).
Negate Dxy. The linear predictor for the Cox model is relative log
hazard. Higher hazard means shorter survival time. For other survival
models the model is stated in terms of
interaction with function contrast of contrast package.
I thanks for your reply,
Regards.
Marylin Bejarano
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: 11
Date: Tue, 16 Aug 2011 04:22:07 -0700 (PDT)
From:
Frank Harrell lt;f.harr...@vanderbilt.edugt;
To:
r-help@r-project.org
Subject:
Re: [R] Labelling all variables at once (using Hmisc label)
Message-ID:
1313493727519-3746928.p...@n4.nabble.com
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/mailman/listinfo/r-help
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Frank Harrell
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iterations: 5
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So far we have received over 70 responses to our survey. If you have NOT
responded already and are likely to attend useR! 2012, please take the
extremely short survey today. The link is below.
More information about Nashville may be seen at
http://biostat.mc.vanderbilt.edu/UseR-2012
In a day
clue]. It should have used the normal distribution.
Cheers,
Frank
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Dear R and S-Plus Community:
The 2012 R User Conference - useR!2012 - will be held in Nashville
Tennessee USA, June 12-15, 2012 on the campus of Vanderbilt University.
We would like to begin estimating the number of attendees, their area of
interest, and the number seeking hotel vs.
exists for that case.
Paul
On Fri, Aug 5, 2011 at 7:58 PM, Frank Harrell
lt;f.harr...@vanderbilt.edugt; wrote:
Please provide the data or better the R code for simulating the data
that
shows the problem. Then we can look further into this.
Frank
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Department
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Please provide the data or better the R code for simulating the data that
shows the problem. Then we can look further into this.
Frank
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!
Ping Tang http://r.789695.n4.nabble.com/file/n3710068/Dataset.xls
Dataset.xls http://r.789695.n4.nabble.com/file/n3710068/R_help.doc
R_help.doc
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=.5)
The problem also occurs if I use instead ylab=expression(prob(X = x)))
All is well if I remove = but I need =.
Frank
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.
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at second covariance block or
third covariance block.
like this,for value of Covariance of IV*Mod1, IV*Mod2 coefficients which
covariance block must be taken as correct???
thaks so much
Note: excuse me for my English
-
Frank Harrell
Department of Biostatistics, Vanderbilt
for interactions.
for plottin slopes unstandardised regression coefficient were used.
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the package much more compact. Thanks for listening. I'm
writing to r-help because this may applied to other R packages as well.
Frank
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I was wrong about this. The dataset is small. Most of the space is taken up
by a nice tutorial on rpart.plot. Still I would favor linking to datasets
rather than duplicating part of them.
Thanks
Frank
Frank Harrell wrote:
I was glad to see the new rpart.plot package by Stephen Milborrow. I
is risky.
Frank
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-Raffele hospital
Milan, Italy
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.
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with writing one based on details like thoseyou have elucidated. But
this is really not good programming practice, imo.
Contrary and more informed views welcome.
Cheers,
Bert
On Mon, Jun 20, 2011 at 7:17 AM, David Winsemius
lt;dwinsem...@comcast.netgt; wrote:
Frank Harrell wrote:
I know
I know about the current.row, current.column, and panel.number functions that
are useful within panel functions written for lattice. Are there easy ways
to obtain the names of the conditioning variables (those appearing after |)
and their values for the current panel?
Thanks
Frank
-
Frank
,
xlab='',ylab='')
text(rep(.5,p), 1:p, v, adj=1)
maxabsr - max(abs(r[row(r) != col(r)]))
for(i in 1:p) {
for(j in 1:p) {
if(i = j) next
lines(c(i,i),c(j,j+r[i,j]/maxabsr/2), lwd=3)
lines(c(i-.2,i+.2),c(j,j), col=gray(.7))
}
text(i, i, v[i], srt=-45, adj=0)
}
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than 6 non
missing observations.
George
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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.
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Frank Harrell
Department of Biostatistics
/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
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Frank Harrell
Department of Biostatistics, Vanderbilt University
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See the contents function in the Hmisc package.
karena wrote:
Is there any function in R which does the same thing as what 'PROC
CONTENTS' does in SAS?
thanks,
karena
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Frank Harrell
Department of Biostatistics, Vanderbilt University
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, minimal, self-contained, reproducible code.
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Frank Harrell
Department of Biostatistics, Vanderbilt University
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?
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Frank Harrell
Department of Biostatistics, Vanderbilt University
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This is not really an R question, and it indicates that you have a good deal
of studying to do about quantile regression before you rely on it.
Frank
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Frank Harrell
Department of Biostatistics, Vanderbilt University
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.
More details are at http://biostat.mc.vanderbilt.edu/Rrms
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Frank Harrell
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this output
in the first place.
As ever, thanks in advance are likely due to Frank Harrell, without whom
many things would be much more difficult.
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PLEASE do read
of an .Rd file is:
f - ols(y ~ pol(x1,2) + pol(x2,2) + pol(x1,2) %ia% pol(x2,2),
subset=group==g)
Putting \ before the % gets around the problem but I didn't have to do that
before.
Any ideas?
Thanks Frank
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Frank Harrell
Department of Biostatistics, Vanderbilt University
, minimal, self-contained, reproducible code.
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Frank Harrell
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I have not been able to figure out the format for specifying limits, at,
labels in scales - list(relation='free', limits=..., at=..., labels=...)
when there is more than one paneling variable, e.g., xyplot(y ~ x | a*b).
Thanks for any guidance.
Frank
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Frank Harrell
Department
Thanks very much David and Bert. That did it.
Frank
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Frank Harrell
Department of Biostatistics, Vanderbilt University
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+ mldata$dr0 +
mldata$dr1 + mldata$yr_tch_exp + mldata$yr_tch_exp_s + mldata$ismgdr +
mldata$ismgyr_t_A + mldata$pair)
Error: inherits(object, formula) is not TRUE
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Frank Harrell
Department of Biostatistics, Vanderbilt University
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whether this is enough improvement though.
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Kohkichi
(11/05/22 23:27), Frank Harrell wrote:
S.D. is the standard deviation (standard error) of Dxy. It already
includes
the effective sample size in its computation so the sqrt(n) terms is not
needed. The help file for rcorr.cens has
to validate an existing model?
Anything different?
Many thanks!
...Tao
- Original Message
From: Frank Harrell lt;f.harr...@vanderbilt.edugt;
To: r-help@r-project.org
Sent: Tue, May 17, 2011 10:51:02 AM
Subject: Re: [R] changes in coxph in survival from older version
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