[I've cc'ed this to the list because I think that it may be of value to
other useRs, at least for archiving purposes.]
Sorry, I did that work a long time ago in XLispStat (before I switched
to R). The delta method and the bootstrap method for standard errors for
eigenvalues are described in Caswel
Simon Blomberg uq.edu.au> writes:
>
> To get a confidence interval on lambda, you need to have measures of
variability in the elements of the
> transition matrix. If you have that, you can use a parametric bootstrap to get
approximate confidence
> intervals. I have done this, and it seems to wor
an aching desire for
an answer does not ensure that a reasonable answer can
be extracted from a given body of data. - John Tukey.
-Original Message-
From: [EMAIL PROTECTED] on behalf of Anouk Simard
Sent: Wed 29/08/2007 1:17 AM
To: r-help@stat.math.ethz.ch
Subject: [R] Interpreting the e
Thanks for telling me that you could not get my message, I hope this work
better...
so my question was:
I built a population matrix to which I applied the fonction eigen in order
to find the main parameters about my population. I know that the first
eigen value correspond to lambda or exponential
Thanks for telling me that you could not get my message, I hope this work
better...
so my question was:
I built a population matrix to which I applied the fonction eigen in order
to find the main parameters about my population. I know that the first
eigen value correspond to lambda or exponential
On 28-Aug-07 14:12:22, Marie Anouk Simard wrote:
It would seem (from the headers) that Marie sent her message
within a "TNEF" attachment, which the R-help server has duly
stripped off!
I would suggest thatshe re-sends her message in p
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