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Kim Elmore <kim.elm...@noaa.gov> wrote:
>I wish to perform moving tiles bootstrap resampling on some gridded
>data
>meteorological data. I've many years experience with S-Plus, but it has
>
>no way to perform a moving-tiles bootstrap. Within R I've learned how
>to
>use quadratresample() with the spatstats package and would be happy to
>simply use empirical percentiles if generating the replicates were
>fast,
>but it isn't. So, I'd like to employ bootstrap tilting to generate my
>confidence intervals. On my machine (older Athlon, XP sp3, 4 GB) it
>took
>about 48 h to generate 5000 moving tiles replicates. But, the boot
>package contains boot.tilt and I should be able to do well enough with
>the statistics I need (mean and RMS) to get by with several hundred
>samples instead of several thousand.
>
>I can certainly build a function that generates the statistic I want
>from a moving-tiles replicate. My problem is that the resampling
>process
>isn't as simple as boot.tilt() expects (I'm not simply resampling rows
>of a data frame). But, the function that does what I need doesn't fit
>into how boot.tilt() expects the resampling process to work. I can
>generate a string of replicates easily enough -- how might I wrap such
>a
>set of replicates into an object on which tilting could be performed
>absent the internal generation of the replicates themselves?
>
>Kim Elmore
>--
>
>Kim Elmore, Ph.D. (CCM, PP SEL/MEL/Glider, N5OP, 2nd Class
>Radiotelegraph, GROL)
>
>/"Human beings, who are almost unique in having the ability to learn
>from the experience/
>
>/of//others, are also remarkable for their apparent disinclination to
>do
>so/."/-- Douglas Adams/
>
>
> [[alternative HTML version deleted]]
>
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