Thanks, that clears things up quite a bit. Now I'm left wondering why there
is so much bias, but that's a separate issue.
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Your interpretation of what the output is supposed to look like is
actually correct. Take a look at the estimates of the bias in the
BootStrap Statistics. You will see that they are the same as the
difference between the location of colMeans of t and t0.
I hope that this helps,
Andrew
On Tue,
I am attempting to use package boot to summarize and compare the performance
of three models. I'm using R 2.13.0 in a Win32 environment.
My statistic function returns a vector of 6 values, 3 of which are error
rates for different models, and 3 are pairwise differences between those
error rates.
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