That did it. Thanks.
Nestor
On Saturday 19 November 2005 10:34 pm, you wrote:
> Try this:
>
>attach(as.list(my.time.series))
>
> On 11/19/05, Nestor Arguea <[EMAIL PROTECTED]> wrote:
> > Is there an attach-like command for time series objects?
> > Thanks in advance,
_
When I tried to run your example, I got the following:
Error in func(times[1], y, parms) : object "Cum2" not found
While I couldn't replicate your error, I can tell you that the reason
"print(coef(fit))" gave the error it did was because "nls" refuses to
return anything when
Spencer Graves a écrit :
> You are concerned that, "using the mean of each age category as
> variable leads to a loss of information regarding the variance on the
> weight at each age and nestbox." What information do you think you lose?
The variance around the mean weight of each age c
Try this:
attach(as.list(my.time.series))
On 11/19/05, Nestor Arguea <[EMAIL PROTECTED]> wrote:
> Is there an attach-like command for time series objects?
> Thanks in advance,
__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/lis
Is there an attach-like command for time series objects?
Thanks in advance,
Nestor
__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
I've run out of ideas for a simple solution, so...
Does anyone know of a package that can compute directional correlograms?
The spatial package seems to work for all directions,
Usage:
correlogram(krig, nint, plotit = TRUE, ...)
but I don't know how to modify the spatial package (if requi
On Saturday 19 November 2005 22:09, Gabor Grothendieck wrote:
> Getting back to your original question of using apply, solving the LP
> gives us the number of components in any minimal solution and
> exhaustive search of all solutions with that many components can
> be done using combinations from
Hi,
I produce a series of diagrams with R in order to include them in my
documents (LaTeX). However, there is a white border around the diagrams.
For some that do not have anything written at the very bottom, the white
border is relatively large. The rather big space between figure and
caption at
On 11/19/05, Adrian DUSA <[EMAIL PROTECTED]> wrote:
> On Saturday 19 November 2005 19:17, Patrick Burns wrote:
> > [snip...] One cheat would be to do the LP problem
> > multiple times with the rows of your matrix randomly
> > permuted. Assuming you keep track of the real rows,
> > you could th
On Saturday 19 November 2005 20:51, Ted Harding wrote:
> [..snip...]
> There is bound to be a good algorithm out there somewhere
> for finding a "minimal coveriung set" but I don't know it!
> Best wishes to all,
> Ted.
I found this presentation very explicit:
http://www.cs.ualberta.ca/~amaral/cour
Dear Ted,
On Saturday 19 November 2005 20:51, Ted Harding wrote:
> [...snip...]
> There is bound to be a good algorithm out there somewhere
> for finding a "minimal coveriung set" but I don't know it!
>
> Comments?
>
> Best wishes to all,
> Ted.
My case is probably a subset of your general algori
There is probably a way to do what you want, but I don't know how.
You are to be commended for providing a self-contained example citing an
interesting article from the Journal of Statistical Software and
including the modification necessary to make the S-Plus "lme" call work
in R.
On 19-Nov-05 Adrian Dusa wrote:
> On Saturday 19 November 2005 17:24, Gabor Grothendieck wrote:
>> [...snip...]
>> Although the above is not wrong I should have removed the
>> rbind which is no longer needed and simplifying it further,
>> as it seems that lp will do the rep for you itself for
>> ce
On Saturday 19 November 2005 19:17, Patrick Burns wrote:
> [snip...] One cheat would be to do the LP problem
> multiple times with the rows of your matrix randomly
> permuted. Assuming you keep track of the real rows,
> you could then get a sense of how many solutions there
> might be.
Thanks
I suspect that the answer is that finding all solutions
will be hard. L1 regression is a special case of LP.
I learned how to move around the corners of the
solution space, and could easily find all of the solutions
in the special case of a two-way table. However,
sometimes there were a lot of so
Pierre-Luc Brunelle polymtl.ca> writes:
>
> I am using function wireframe from package lattice to draw a 3D surface.
> I would like to add a few points on the surface. I read in a post from
> Deepayan Sarkar that "To do this in a wireframe plot you would probably
> use the panel function pane
-- Forwarded Message --
Subject: [R] Autoloading R Commander
Date: Saturday November 19, 2005 10:35 am
From: "Stephen P. Molnar, Ph.D." <[EMAIL PROTECTED]>
To: R
How do I go about autoloading R Commander when I start R?
Thanks in advance.
--
Stephen P. Molnar, Ph.D.
Hi. Is there a way to get the values predicted from (leave-one-out)
cv.glm?
It seems like a useful diagnostic to plot observed vs. predicted values.
Thanks,
Jeff
Jeffrey A. Stratford, Ph.D.
Postdoctoral Associate
331 Funchess Hall
Department of Biologi
Dear Stephen,
As a brief addendum, this information (and other information) is in the
Rcmdr installation notes, at
http://socserv.socsci.mcmaster.ca/jfox/Misc/Rcmdr/installation-notes.html.
Sorry I forgot that when I posted my original answer.
John
John Fox
Depa
Dear Stephen,
I believe that this question has been asked before, though possibly
privately rather than on the r-help list. A solution (kindly provided, as I
recall, by Brian Ripley) is to put the following in an appropriate start-up
file. For example, if you *always* want to start the Rcmdr when
On Sat, 19 Nov 2005, Stephen P. Molnar, Ph.D. wrote:
> How do I go about autoloading R Commander when I start R?
Read ?Startup. My first idea would be to make use of a ~/.Rprofile file.
`Autoloading' is a technical term in R (see ?autoload), which I presume is
not what you meant. My guess is
An article I wrote that provides a basic introduction to R has
been published on Oreillynet.com. The article is titled
"Analyzing Statistics with GNU/R". Here is the link:
http://www.onlamp.com/pub/a/onlamp/2005/11/17/r_for_statistics.html
Please feel free to post comments or interesting basic R
Stephen P. Molnar, Ph.D. wrote:
> How do I go about autoloading R Commander when I start R?
See ?Startup
Uwe Ligges
> Thanks in advance.
__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the postin
On Saturday 19 November 2005 17:24, Gabor Grothendieck wrote:
> [...snip...]
> Although the above is not wrong I should have removed the rbind
> which is no longer needed and simplifying it further, as it seems
> that lp will do the rep for you itself for certain arguments, gives:
>
> lp("min", rep
How do I go about autoloading R Commander when I start R?
Thanks in advance.
--
Stephen P. Molnar, Ph.D.Life is a fuzzy
set
Foundation for ChemistryStochastic and
multivariant
http://www.geocities.com/FoundationForC
On 11/19/05, Gabor Grothendieck <[EMAIL PROTECTED]> wrote:
> On 11/19/05, Gabor Grothendieck <[EMAIL PROTECTED]> wrote:
> > Try minizing 1'x subject to 1 >= x >= 0 and m'x >= 1 where m is your mtrx
> > and ' means transpose. It seems to give an integer solution, 1 0 1,
> > with linear programming
On 11/19/05, Gabor Grothendieck <[EMAIL PROTECTED]> wrote:
> Try minizing 1'x subject to 1 >= x >= 0 and m'x >= 1 where m is your mtrx
> and ' means transpose. It seems to give an integer solution, 1 0 1,
> with linear programming even in the absence of explicit integer
> constraints:
>
> library(
Try minizing 1'x subject to 1 >= x >= 0 and m'x >= 1 where m is your mtrx
and ' means transpose. It seems to give an integer solution, 1 0 1,
with linear programming even in the absence of explicit integer
constraints:
library(lpSolve)
lp("min", rep(1,3), rbind(t(mtrx), diag(3)), rep(c(">=", "<="
On 11/19/2005 8:00 AM, Adrian DUSA wrote:
> Dear list,
>
> I have a problem with a toy example:
> mtrx <- matrix(c(1,1,0,1,1,1,0,1,1,0,0,1), nrow=3)
> rownames(ma) <- letters[1:3]
>
> I would like to determine which is the minimum combination of rows that
> "covers" all columns with at least a 1
On 11/19/2005 6:13 AM, [EMAIL PROTECTED] wrote:
>>On Fri, 18 Nov 2005 13:49:36 -0500,
>>Duncan Murdoch (DM) wrote:
>
>
> > I'm working on a Latex document with lots of R code in it, so naturally
> > enough it would be a good idea to use SWeave. But then I don't get to
> > see the
Dear R - helpers,
I am using the urca package to estimate cointegration relations, and I
would be really grateful if somebody could help me with this questions:
After estimating the unrestriced VAR with "ca.jo" I would like to impose
the rank restriction (for example rank = 1) and then obtain the
Dear list,
I have a problem with a toy example:
mtrx <- matrix(c(1,1,0,1,1,1,0,1,1,0,0,1), nrow=3)
rownames(ma) <- letters[1:3]
I would like to determine which is the minimum combination of rows that
"covers" all columns with at least a 1.
None of the rows covers all columns; all three rows clea
> On Fri, 18 Nov 2005 13:49:36 -0500,
> Duncan Murdoch (DM) wrote:
> I'm working on a Latex document with lots of R code in it, so naturally
> enough it would be a good idea to use SWeave. But then I don't get to
> see the output as I'm editing.
> Or do I? Is there a tool to p
Does 'rug' help you ?
example(rug)
?rug
Cheers
Mathieu.
jia ding a écrit :
>-- Forwarded message --
>From: jia ding <[EMAIL PROTECTED]>
>Date: Nov 2, 2005 4:03 PM
>Subject: question about R graphics-example plot attached
>To: [EMAIL PROTECTED]
>
>Suppose I have the data
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