On Sun, 1 May 2005, someone who didn't give his name wrote:
It is my understanding that the eigenvectors of a circulant matrix are
given as follows:
1,omega,omega^2,,omega^{p-1}
where the matrix has dimension given by p x p and omega is one of p complex
roots of unity. (See Bellman for an exc
I am using the package of Icens
but for the function Bisect
I do not know what ndir is
it just says the direction of pvec, but what kind of values should I
use ?
thanks for reply
pls give me an example..
Bisect(tA, pvec, ndir, Meps, tolbis=1e-07)
Arguments:
tA: The transpose of the
Hi,
It is my understanding that the eigenvectors of a circulant matrix are given as
follows:
1,omega,omega^2,,omega^{p-1}
where the matrix has dimension given by p x p and omega is one of p complex
roots of unity. (See Bellman for an excellent discussion on this).
The matrix created by th
Jonathan,
Just for future reference, you can send replies to the list--everyone
benefits then.
I'm not sure how pricelts works, but you can type ?pricelts to see. It is
possible that pricelts takes a vector of stock names. You need to look at
the "Value" part of the help to see what pricelts
Are you looking for a unique solution or families of solutions?
Can't you turn a root-finding problem for a system of equations
with a unique solution into an optimisation problem, anyway?
E.g. You want to solve
f1(x) = g1
f2(x) = g2
...
Why not optimise L(x) = (f1(x) - g1)^2 + (f2(x) - g2)^2
John Janmaat wrote:
Hello,
I have a system of quadratic equations (results of a Hamiltonian optimization)
which I need to find the roots for. Is there a package and/or function which
will find the roots for a quadratic system?
Certainly you cxould use solve, see
?solve
Alternatively you could go
On 01-May-05 Peter Dalgaard wrote:
> (Ted Harding) <[EMAIL PROTECTED]> writes:
>> Something like the following code will do the job vectorially:
>>
>> n<-1000 # desired size of sample
>> T<-3.5# pre-truncation mean of Poisson
>> U<-runif(n) # the uniform sample
>> t = -log(
Hi, Peter:
Your solution is simple, elegant, very general yet sufficiently subtle
that I (and I suspect many others) might not have thought of it until
you mentioned it. It is worth remembering.
Thanks. spencer graves
Peter Dalgaard wrote:
(Ted Harding) <[EMAIL PROTECTED]> writes:
On 01-May-0
Jim Milks <[EMAIL PROTECTED]> writes:
> Dear all:
>
> I have a regression model that has collinearity problems (between
> three regressor variables). I need a F-test that will allow me to
> compare between full (with all variables) and partial models (minus
> 1=< variables). The general F-test
Dear all:
I have a regression model that has collinearity problems (between three
regressor variables). I need a F-test that will allow me to compare
between full (with all variables) and partial models (minus 1=<
variables). The general F-test formula I'm using is:
F = {[SS(full model) - SS(
(Ted Harding) <[EMAIL PROTECTED]> writes:
> On 01-May-05 Glazko, Galina wrote:
> >
> > Dear All
> >
> > I would like to know whether it is possible with R to
> > generate random numbers from zero-truncated Poisson
> > distribution.
> >
> > Thanks in advance,
> > Galina
.
> (B) This has a
hi,
i want to execute the following opimization problem:
max r*w
s.t.: w*z=1 # sum of w is 1
r, w are [nx1] vectors, z is a [nx1] vector consisting of 1
so far so good, works fine with lp
the problem arises with the additional restriction
w' * V * w
where V is a [nxn] matrix
how can i include
On 01-May-05 Glazko, Galina wrote:
>
> Dear All
>
> I would like to know whether it is possible with R to
> generate random numbers from zero-truncated Poisson
> distribution.
>
> Thanks in advance,
> Galina
Maybe someone has written an efficient function for this.
If not, you anyway have at
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Dear All
I would like to know whether it is possible with R to
generate random numbers from zero-truncated Poisson
distribution.
Thanks in advance,
Galina
__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE d
Hello,
I have a system of quadratic equations (results of a Hamiltonian optimization)
which I need to find the roots for. Is there a package and/or function which
will find the roots for a quadratic system? Note that I am not opimizing, but
rather solving the first order conditions which come fr
Dear Everyone,
I am organizing a session on Diagnostics (Regression etc.) for the IASC on
Computational Statistics and Data Analysis which will take place at the
Amathus Beach Hotel in Limassol Cyprus, October 28-31, 2005. Those of you
who would like to attend and present a paper may submit th
Hi all,
Professor Ripley is right. This problem does not affect newer versions
of mvrnorm. We had an older version of mvrnorm which did not set
EISPACK=TRUE as it should. Sorry for the confusion. Thank you for the
correction.
Jouni Kerman
On May 1, 2005, at 6:08 AM, Prof Brian Ripley <[EMAIL PR
Dear all,
I am experiencing the two following problems trying to produce a
comfortable output using the package Hmisc.
If I use:
html(latex(D,file="here.tex"),file="here.html")
where D is a data.frame the function html does not write in "here.html" but
only in a temporary file somewhere else in
Achim Zeileis wrote:
On Sat, 30 Apr 2005, Peter Dalgaard wrote:
Paul Smith <[EMAIL PROTECTED]> writes:
Dear All
I would like to know whether it is possible with R to define a
discrete random variable different from the ones already defined
inside R and generate random numbers from that user
Aleksey Naumov <[EMAIL PROTECTED]> writes:
> Dear List,
>
> I would like to plot a simple legend with two math expressions, e.g.
>
> plot(0)
> legend(1, 0.5, expression(sigma[i], sigma[j]))
>
> The difficulty is that i and j should be variables rather than strings "i"
> and
> "j". In other wo
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