this should be possible in the lasso2 package.
url:www.econ.uiuc.edu/~rogerRoger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
fax: 217-244-6678Champaign, IL 61820
On Sep 7
You might look at the monotone fitting available in the rqss()
function of the quantreg package.
url:www.econ.uiuc.edu/~rogerRoger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
fax: 217-244
If you want to minimize absolute error for this, then you can
try the rqss fitting in the quantreg package and tune lambda
to get one break in the fitted function.
url:www.econ.uiuc.edu/~rogerRoger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217
You could use:
require(quantreg)
rq(index ~ 1, weights=count, tau=0:5/5)
url:www.econ.uiuc.edu/~rogerRoger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
fax: 217-244-6678
You might want to look at the cartogram literature. See e.g.
http://www-personal.umich.edu/~mejn/election/
I don't know of an R implementation of this sort of thing, but
perhaps others can correct me.
url:www.econ.uiuc.edu/~roger Roger Koenker
email[EMAIL PROT
One way:
N <- 10
s <- c(apply(matrix(rep(1:3,N),3,N),2,sample))
url:www.econ.uiuc.edu/~roger Roger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
fax: 217-24
If you are willing to go to the bother of representing your data
as a sparse matrix, the package SparseM has a version of image()
that will do what you would like to do, I believe.
url:www.econ.uiuc.edu/~rogerRoger Koenker
email[EMAIL PROTECTED]Department of
fitting
a mean curve to data that has constant variance, so you might also
consider reweighting to approximate this, as well.
url:www.econ.uiuc.edu/~rogerRoger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of
coef(slmobj)
url:www.econ.uiuc.edu/~roger Roger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
fax: 217-244-6678Champaign, IL 61820
On Aug 1, 2007, at 4:42 PM, T. Balachander
Jean's question, Mark's interpretation seems very
plausible.
Thanks to Jean and to Martin Maechler for adding this dataset to R.
url:www.econ.uiuc.edu/~rogerRoger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558
od unless the sample
size exceeds 1001, or cov = FALSE in which case se =
"nid" is used.
url:www.econ.uiuc.edu/~rogerRoger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Il
question: you can always modify
functions
such as summary.rq or plot.summary.rqs -- see for example ?fix.
url:www.econ.uiuc.edu/~roger Roger Koenker
email [EMAIL PROTECTED] Department of Economics
vox:217-333-4558U
introduce new errors that can't be tracked down at later
stages of the analysis.
url:www.econ.uiuc.edu/~roger Roger Koenker
email [EMAIL PROTECTED] Department of Economics
vox:217-333-4558University of Illinois
fax:21
bably
knows exactly what to do with ratfor provided you have the
ratfor preprocessor available from the above link, and the rest
of the tools to build from source.
url:www.econ.uiuc.edu/~roger Roger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333
You might try: http://www.stanford.edu/~kasparr/software/silverman.r
But take a look at the referenced paper by Silverman first. You could
also try the CRAN package ftnonpar by Kovac and Davies.
url:www.econ.uiuc.edu/~roger/my.htmlRoger Koenker
email [EMAIL PROTECTED
You might have a look at the fda package of Ramsay on CRAN.
url:www.econ.uiuc.edu/~rogerRoger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
fax: 217-244-6678Champaign, IL
It has been folded into my quantreg package.
url:www.econ.uiuc.edu/~rogerRoger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
fax: 217-244-6678Champaign, IL 61820
On May 28
we have already estimated the fixed effects with the
sweep operation.
url:www.econ.uiuc.edu/~roger Roger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
fax: 217-244-6678Champaign, I
Ivo,
I don't know whether you ever got a proper answer to this question.
Here is a kludgy one -- someone else can probably provide
a more elegant version of my diffid function.
What you want to do is sweep out the mean deviations from both y
and x based on the factor fe and then estimate the sim
this, and if so, why the former version was
preferred." The
latter version seems more convenient since it obviously obviates the
need
for special tables that appear in many places.
url:www.econ.uiuc.edu/~roger Roger Koenker
email [EMAIL PROTECTED]
ake a shot at it. My first attempt is
rather primitive
but I have to say that Paul's grid package is superb.
url:www.econ.uiuc.edu/~roger Roger Koenker
email [EMAIL PROTECTED] Department of Economics
vox:217-333-4558
If you can reformulate your LP as an L1 problem, which is known to be
possible without loss of generality, but perhaps not without loss of
sleep,
then you could use the sparse quantile regression functions in the
quantreg package.
url:www.econ.uiuc.edu/~rogerRoger Koenker
It's not often one gets needs to correct Gabor, but no,
least median of squares is not the same as least absolute error
regression.
Take a look at the package robust if you want the lms.
url:www.econ.uiuc.edu/~roger Roger Koenker
email[EMAIL PROT
Does anyone have (good) experience converting tables of tournament
results into dendrogram-like graphics? Tables, for example, like this:
read.table(url("http://www.econ.uiuc.edu/~roger/research/ncaa/NCAA.d";))
Any pointers appreciated. RK
url:www.econ.uiuc.edu/~roger
both Matrix and SparseM have formats of this type.
url:www.econ.uiuc.edu/~rogerRoger Koenker
email [EMAIL PROTECTED] Department of Economics
vox:217-333-4558University of Illinois
fax:217-244-6678
If you haven't already you might want to take a look at:
http://www.econ.uiuc.edu/~roger/research/rq/QReco.pdf
which is written by and for ecologists.
url:www.econ.uiuc.edu/~roger Roger Koenker
email[EMAIL PROTECTED]Department of Economics
vox:
Doug is right, I think, that this would be easier with full indexing
using the matrix.coo classe, if you want to use SparseM. But
then the tapply seems to be the way to go.
url:www.econ.uiuc.edu/~rogerRoger Koenker
email[EMAIL PROTECTED]Department of Economics
to define the X matrix directly. This is usually
not that
difficult, but it depends on the model
url:www.econ.uiuc.edu/~roger Roger Koenker
email [EMAIL PROTECTED] Department of Economics
vox:217-333-4558University
quantile() does some somewhat exotic interpolation --- if you are
wanting to
match moments you need to be more explicit about how you are computing
moments for the two approaches...
On Jan 28, 2007, at 5:06 PM, Geoffrey Zhu wrote:
> Hi Benilton,
>
> I tried this. It sort of works, but the resul
ic
to quantreg, you might want to use them.
url:www.econ.uiuc.edu/~rogerRoger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
fax: 217-244-6678Champaign, IL 61820
On Jan 10
Is there a painless way to find the names of all packages on CRAN
that "Depend" on a specified package?
url:www.econ.uiuc.edu/~roger Roger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Il
On Jan 1, 2007, at 4:43 PM, Armelini, Guillermo wrote:
> Hello everyone
> Could anybody tell me how to set the following matrix?
>
> n2<-matrix(nrow=10185,ncol=10185,seq(0,0,length=103734225))
You can use:
library(SparseM)
as.matrix.coo(0,10185,10185)
but then you need to find something intere
more flexible in the y-direction, and maintaining
> a fixed, linear
> in parameters specification for the covariate effects at each
> quantile.
>
>
> url:www.econ.uiuc.edu/~rogerRoger Koenker
> email[EMAIL PROTECTED]Department of Economics
>
maintaining
a fixed, linear
in parameters specification for the covariate effects at each quantile.
url:www.econ.uiuc.edu/~rogerRoger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
fax: 217-244
This isn't a nonlinear QR problem. You can write:
f <- rq(y ~ log(x), data=Dat, tau=0.25)
which corresponds to the model
Q_y (.25|x) = a log(x) + b
note the sign convention on b.
url:www.econ.uiuc.edu/~roger Roger Koenker
email [EMAIL P
:www.econ.uiuc.edu/~rogerRoger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
fax: 217-244-6678Champaign, IL 61820
On Oct 27, 2006, at 11:52 AM, Gabor Grothendieck wrote:
>
something that is more automatic.
Does anyone have experience that they could share toward this objective?
url:www.econ.uiuc.edu/~roger Roger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
fax: 21
microarrays that have
incorporated these effects.
I'd be happy to hear more about the data and possible models, but
this should be
routed privately since the topic is rather too specialized for R-help.
url:www.econ.uiuc.edu/~roger Roger Koenker
email[EMAIL PROT
> data(engel)
> attach(engel)
> rq(y~x)
Call:
rq(formula = y ~ x)
Coefficients:
(Intercept) x
81.4822474 0.5601806
Degrees of freedom: 235 total; 233 residual
> rq(y~x)->f
> f$tau
[1] 0.5
url:www.econ.uiuc.edu/~roger Roger Koenker
email
url:www.econ.uiuc.edu/~rogerRoger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
fax: 217-244-6678Champaign, IL 61820
On Oct 12, 2006, at 7:12 AM, Roger Bivand wrote:
>
x27;t seem so from a look at arithmetic.c, but this is well
beyond me.
I hope that someone sees something suspicious, or could point me
toward a better diagnostic. Thanks,
Roger
url:www.econ.uiuc.edu/~rogerRoger Koenker
email[EMAIL PROTECTED]Department of Econo
Try:
> rsimplex <- function(n){
u <- diff(sort(runif(n)))
c(u,1-sum(u))
}
On Oct 2, 2006, at 5:43 PM, Rolf Turner wrote:
> Ricardo Rios wrote:
>
>> Hi Rolf Turner, I have a statistical model, it model need this
>> numbers for calculate the probability. This numbers must be random.
>>
>> For ex
?rle
url:www.econ.uiuc.edu/~rogerRoger Koenker
email [EMAIL PROTECTED] Department of Economics
vox:217-333-4558University of Illinois
fax:217-244-6678Champaign, IL 61820
On Sep 30, 2006
Or, perhaps, tripack?
url:www.econ.uiuc.edu/~rogerRoger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
fax: 217-244-6678Champaign, IL 61820
On Sep 14, 2006, at 10:32 AM, Greg
Look at ?rank ?order and ?quantile assuming that you are using
these terms as in cs.
url:www.econ.uiuc.edu/~rogerRoger Koenker
email [EMAIL PROTECTED] Department of Economics
vox:217-333-4558University of Illinois
fax
General questions elicit general answers; more specific questions
elicit more specific answers.For example,
> exp(2+9/2)
[1] 665.1416
url:www.econ.uiuc.edu/~roger Roger Koenker
email [EMAIL PROTECTED] Department of Economics
vox:217-333-4
I would suspect that something simple like
sum(diag(crossprod(A,B)))
would be quite competitive...
url:www.econ.uiuc.edu/~rogerRoger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
fax
ch()?
url:www.econ.uiuc.edu/~roger Roger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
fax: 217-244-6678Champaign, IL 61820
On Aug 2, 2006, at 4:01 PM, John Kane wrote:
> Simple problem bu
own
I don't much like R1, or R2 for that matter, so it isn't likely to
be automatically provided in quantreg any time soon.
url:www.econ.uiuc.edu/~rogerRoger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558U
On Jul 23, 2006, at 5:27 AM, roger koenker wrote:
> When computing the median from a sample with an even number of
> distinct
> values there is inherently some ambiguity about its value: any
> value between
> the middle order statistics is "a" median. Similarly, i
h the formula has a singular X matrix. The quantile
regression fitting
functions don't understand about singular designs; some day they may
but it isn't
a high priority for me.
url:www.econ.uiuc.edu/~rogerRoger Koenker
email[EMAIL PROTECTED]Depar
ate
validity checking.
[My 2cents based on experience with SparseM.]
url:www.econ.uiuc.edu/~rogerRoger Koenker
email [EMAIL PROTECTED] Department of Economics
vox:217-333-4558University of Il
Questions about packages should be directed to the package maintainers.
A more concise example of the difficulty, with accessible data would
also be helpful.
url:www.econ.uiuc.edu/~rogerRoger Koenker
email [EMAIL PROTECTED] Department of Economics
vox
or example, dim = 20,000
and q = .02 takes 432 seconds with again 93% of the total time spent in
rnorm and rtnorm...
url:www.econ.uiuc.edu/~rogerRoger Koenker
email [EMAIL PROTECTED] Department of Economics
vox:217-333-4558
You need to look at the packages specifically designed for
sparse matrices: SparseM and Matrix.
url:www.econ.uiuc.edu/~rogerRoger Koenker
email [EMAIL PROTECTED] Department of Economics
vox:217-333-4558University of
the usually depressing ritual of returning exam
results. Full disclosure of the distribution in a very concise
encoding.
url:www.econ.uiuc.edu/~roger Roger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of
basically amount
to setting singular.ok = FALSE in lm() and forcings users to do
the rank reduction themselves.
url:www.econ.uiuc.edu/~roger Roger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
fax:
ovided, of course, that it is really a question about
quantreg.
url:www.econ.uiuc.edu/~roger Roger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
fax: 217-244-6678Champaign, IL
an upgrade: from the flintstones -- to the michelin man...
On May 16, 2006, at 4:40 PM, Thomas Lumley wrote:
> On Tue, 16 May 2006, roger koenker wrote:
>
>> In ancient times, 1999 or so, Alvaro Novo and I experimented with an
>> interface to mysql that brought chunks
ame
time I discovered sparse linear algebra and realized that virtually all
large problems that I was interested in were better handled in from
that perspective.
url:www.econ.uiuc.edu/~roger Roger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 21
?in.convex.hull in the package tripack.
url:www.econ.uiuc.edu/~rogerRoger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
fax: 217-244-6678Champaign, IL 61820
On Apr 26
Powell's quantile regression method is available in the quantreg
package rq(..., method="fcen", ...)
url:www.econ.uiuc.edu/~roger Roger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
Roger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
fax: 217-244-6678Champaign, IL 61820
On Apr 24, 2006, at 12:41 PM, Sachin J wrote:
> Hi,
>
> I have a dataset consisting o
than you really bargained for though, I don't
know the code
Roger
url:www.econ.uiuc.edu/~roger Roger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
fax: 217-244-6678Cha
ept) 1 1 2 3 5
Degrees of freedom: 5 total; 4 residual
The first observation x=1 has weight .33 so it should be the
.25 quantile, unless there is some interpolation going on
url:www.econ.uiuc.edu/~roger Roger Koenker
email[EMAIL PROTEC
Roger
url:www.econ.uiuc.edu/~roger Roger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
fax: 217-244-6678Champaign, IL 61820
On Mar 16, 2006, at 6:13 AM, Liaw, Andy wrote:
> loes
a strategy for this that I use is just
persp(interp(x,y,z))
where interp is from the Akima package, and x,y,z are all
of the same length.
url:www.econ.uiuc.edu/~rogerRoger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558
solute Deviation) regression
> function?
>
package: quantreg
url:www.econ.uiuc.edu/~rogerRoger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
fax: 217-244-6678
On Feb 6, 2006, at 2:34 PM, ivo welch wrote:
>
> Aside, a logical ordering might also be:
>mean sd min q1 med q3 max
> rather than have mean buried in between order statistics.
Just where it belongs, IMHO
url:www.econ.uiuc.edu/~roger Roger K
uiuc.edu/~roger Roger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
fax: 217-244-6678Champaign, IL 61820
On Jan 19, 2006, at 6:04 AM, Achim Zeileis wrote:
> On Thu, 19 Jan 2006 1
see ?rle
url:www.econ.uiuc.edu/~rogerRoger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
fax: 217-244-6678Champaign, IL 61820
On Jan 12, 2006, at 9:56 AM, Mark Leeds wrote
t; not found
This may (or may not) be related to the discussion at:
http://bugs.r-project.org/cgi-bin/R/Models?id=1861;user=guest
but in any case I hope that someone can suggest how such
difficulties can be circumvented.
url: www.econ.uiuc.edu/~rogerRoger Koenker
email[EMA
see ?anova.glm
On Dec 18, 2005, at 10:32 AM, David STADELMANN wrote:
> Hi,
>
> I am running glm logit regressions with R and I would like to test a
> linear combination of coefficients (H0: beta1=beta2 against H1:
> beta1<>beta2). Is there a package for such a test or how can I perform
> it other
(quantreg)
formula <- log(y) ~ x
plot(x,y)
z <- 1:30/10
for(tau in 10:19/20){
f <- rq(formula,tau = tau)
lines(z,exp(cbind(1,z) %*% f$coef))
}
url:www.econ.uiuc.edu/~roger Roger Koenker
email [EMAIL PROTECTED] Depa
of the common sparse matrix formats. This could be a good
project for one of
you who like using ";" ?
Roger
url:www.econ.uiuc.edu/~rogerRoger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illino
you can do:
X <- model.matrix(formula, data = your.data)
url:www.econ.uiuc.edu/~roger Roger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
fax: 217-244-6678Champa
, it is utterly transparent. Of course,
> what you can recognize and understand
> inside depends on you,. Just say "no" to linguistic chauvinism
> -- even R-ism.
>
>
> url:www.econ.uiuc.edu/~rogerRoger Koenker
> email [EMAIL PRO
you might consider nlrq() in the quantreg package, which does median
regression for nonlinear response functions
url:www.econ.uiuc.edu/~rogerRoger Koenker
email [EMAIL PROTECTED] Department of Economics
vox:217-333-4558
er in the coercion to sparse representation
to decide what is really "zero" -- by default this is eps = .Machine
$double.eps.
url:www.econ.uiuc.edu/~roger Roger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558Univers
www.econ.uiuc.edu/~roger Roger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
fax: 217-244-6678Champaign, IL 61820
__
R-help@stat.math.
are
available in the vignette for the quantreg package.
url:www.econ.uiuc.edu/~rogerRoger Koenker
email[EMAIL PROTECTED]Department of Economics
vox: 217-333-4558University of Illinois
fax: 217-244-6678Champaign, IL 61820
On
t is still
missing
but presumably just needs -L/usr/openwin/lib/sparcv9. Some further
investigation is needed for png, jpeg and tctlk support, but this can
wait
for a little while.
Thanks very much for your help.
url:www.econ.uiuc.edu/~rogerRoger Koenker
email[EMAIL PROTECTED]
Any suggestions would be greatly appreciated. With solaris 9 we had
a 64 bit build
but never encounter such problems, and I don't see anything in the
archives or the
install manual that is relevant -- but of course, I'm not very clear
about what I'm looking
for either.
Ro
.uiuc.edu/~roger Roger Koenker
email [EMAIL PROTECTED] Department of Economics
vox:217-333-4558University of Illinois
fax:217-244-6678Champaign, IL 61820
On May 30, 2005, at 6:38 PM, Abhyuday Mandal wrote:
Hi,
On May 6, 2005, at 2:45 PM, Roger Bivand wrote:
On Fri, 6 May 2005, m p wrote:
Hello,
I'd like to make a z(x,y) plot for irregularly spaced
x,y. What are routines are available in R for this
purpose?
One possibility is to interpolate a regular grid using interp() in the
akima package, then use ima
Wayne Fuller's Measurement Error Models is a good reference.
url:www.econ.uiuc.edu/~roger Roger Koenker
email [EMAIL PROTECTED] Department of Economics
vox:217-333-4558University of Illinois
fax:217-244
For my money, Frank's comment should go into fortunes. It seems a
rather Sisyphean battle to keep the lessons of robustness on the
statistical table
but nevertheless well worthwhile.
url:www.econ.uiuc.edu/~roger Roger Koenker
email [EMAIL PROT
The dense blocks are too big as Reid has already written --
for smaller instances of this sort of thing I would suggest that the
the kronecker
product %x% operator in SparseM, would be more convenient.
url:www.econ.uiuc.edu/~rogerRoger Koenker
email [EMAIL PROTECTED
my favorite answer to this question is "because there is no one to sue."
url:www.econ.uiuc.edu/~roger Roger Koenker
email [EMAIL PROTECTED] Department of Economics
vox:217-333-4558University of Illinois
fax:21
eal to those accustomed to french curves.
url:www.econ.uiuc.edu/~rogerRoger Koenker
email [EMAIL PROTECTED] Department of Economics
vox:217-333-4558University of Illinois
fax:217-244-6678
On Mar 2, 2005, at 6:25 PM, Vadim Ogranovich wrote:
I was recently plowing through the docs of the quantreg package by
Roger
Koenker and came across the total variation penalty approach to
1-dimensional spline fitting. I googled around a bit and have found
some
papers originated in the image
Just for the record -- NEWS for 2.1.0 includes:
o binomial() has a new "cauchit" link (suggested by Roger Koenker).
the MASS polr for ordered response is also now adapted for the Cauchit
case.
url:www.econ.uiuc.edu/~roger Roger Koenker
email [EMAIL
e 3-parameter
log-normal where one gets an unbounded likelihood by letting the
threshold parameter approach the first order statistic from below, but
for which the likeihood equations seem to provide a perfectly sensible
root.
url:www.econ.uiuc.edu/~roger Roger Koenker
em
Don't you want read.matrix.csr not read.matrix?
url:www.econ.uiuc.edu/~roger Roger Koenker
email [EMAIL PROTECTED] Department of Economics
vox:217-333-4558University of Illinois
fax:217-244
ng up a full fledged browser. Lynx is ok for this purpose,
but it
might be nice to have something more specifically designed for CIS.
url:www.econ.uiuc.edu/~roger Roger Koenker
email [EMAIL PROTECTED] Department of Economics
vox:217-333
is (mostly?) about the R -> R case.
url:www.econ.uiuc.edu/~roger Roger Koenker
email [EMAIL PROTECTED] Department of Economics
vox:217-333-4558University of Illinois
fax:217-244-6678Champaig
Roger Koenker
email [EMAIL PROTECTED] Department of Economics
vox:217-333-4558University of Illinois
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On Dec 1, 2004, at 10:56 AM, James Foadi wrote:
On Wednesday 01
At the risk of stirring up a hornet's nest , I'd suggest that
means are dangerous in such applications. A nice paper
on combining ratings is: Gilbert Bassett and Joseph Persky,
Rating Skating, JASA, 1994, 1075-1079.
url:www.econ.uiuc.edu/~roger Roger Koe
lower triangle can be obtained by
A[row(A)>col(A)]
url:www.econ.uiuc.edu/~roger Roger Koenker
email [EMAIL PROTECTED] Department of Economics
vox:217-333-4558University of Illinois
fax:217-244-6
ation of
searching
for a forgotten function would be grateful.
url:www.econ.uiuc.edu/~roger Roger Koenker
email [EMAIL PROTECTED] Department of Economics
vox:217-333-4558University of Illinois
fax:217-244
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