Michael Lachmann eva.mpg.de> writes:
:
: Hello!
:
: I am using the TeXmacs interface to R. (Though I encountered a similar
: problem when using Sweave)
: In doing calculations I often ecounter this scenario: I'll have some
: calculations in my file:
: --
: A=read.lots.of.data()
:
: B=huge.ca
I progressed when I combined the Kevin-Roger method with the
Jomes-holtman method. sprintf() in place of formatC did the trick.
Holtman's method does not work because of some problem with the assign.
It seems you cannot have a variable target of the assignment.
Now I have a vector of lists res.
On 2 Oct 2004, at 8:04 PM, [EMAIL PROTECTED] wrote:
On Fri, 2004-10-01 at 10:58, Peter Dalgaard wrote:
Michael Friendly <[EMAIL PROTECTED]> writes:
! Package graphics Error: Division by 0.
What am I doing wrong, or how could I do it differently so it would
work?
You might try \usepackage{graphicx}
Thanks Kevin and Roger. This gave me the clue and was a great help.
I have been trying it out. There is some problem in the code that still
needs to be figured out.
For the first 9 files, paste("wb-0", i, "vc.dbf", sep="") works fine.
But as you rightly guessed, I have more files.
So when I use p
Hello. The linear mixed model (lme) function has an anova (anova())
function. This anova function has a type argument that can be
marginal. I understood that this was equivalent to the type III
(type=ssType3) sum of squares of the ordinary linear model. Is this
correct? Specifically, if
Hello!
I am using the TeXmacs interface to R. (Though I encountered a similar
problem when using Sweave)
In doing calculations I often ecounter this scenario: I'll have some
calculations in my file:
--
A=read.lots.of.data()
B=huge.calculation.on(A)
C=another.calculation.on(B)
--
Now, if A has al
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Hello R,
Is there a function (in Contrib packages maybe) that can do
inverse of continuous wavelet transform? I am using cwt() from
"Rwave" library to get the transform of a time series, and need to
reconstruct the series within a subset of scales.
Thanks a bunch,
Manojit
__
Pinhiero and Bates (2000) Mixed-Effects Models in S and S-Plus
(Springer) describe the use of "intervals" for that. In library(nlme),
R 1.9.1 for Windows, I found documentation for intervals, intervals.gls,
intervals.lme, intervals.lmList, and gnls. To an example in the
documentation for
Do you know what you are doing using method SANN? It is a very strange
choice for a 2D problem. Method L-BFGS-B would allow non-negativity
constraints.
optim() does not have control options trans and times ...
The standard way would be to transform your problem, for example to
optimize over
>
optim(c(1,1),LL,method="SANN",control=list(fnscale=-1),trans=trans,times=times)
$par
[1] 17.422635 -1.606859
How could i constraint that the parameters should be both positive in
my maximizing problem?
I check constrOptim but here i could only constraint the variables trans and
times and not m
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