Returning NA (of the correct length, not length 1) will not help you, as
all the derived statistics from the bootstrap runs will be NA.
But here you never looked at the result of try.
On Tue, 9 Sep 2008, [EMAIL PROTECTED] wrote:
First thanks for Jinsong's suggestions
I would like to do a boot
First thanks for Jinsong's suggestions
I would like to do a bootstrap in a nonlinear model. But it fails to
converge in most of time. (it did converge if I just use nls without
boot). Thus, I use "try" function to resolve my problem. This
following code is from Jinsong's suggestion.
h1a.nl
Hi, My name is Mauro Belleggia, I m doing an ANOSIM (using "vegan" package)
to test statistically whether there is a significant difference between 3
(1,2 and 3) groups of sampling units. My results were:
Call:
anosim(dis = distancias, grouping = Lt)
Dissimilarity: bray
ANOSIM statistic R: 0.1313
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