Hi all:
I've been looking at the boot package to "bootstrap" sample my data in a
particular way. I haven't figured out how to set this up using the boot() command and
thus have resorted to trying to write my own script (although I'd prefer if I could
get boot() to work for this problem!)
The dataset is set up in the following way:
ix(factor) value
1 5.73
1 6.99
1 0.32
1 4.64
1 8.39
2 8.47
2 1.04
2 0.73
2 0.29
3 6.82
3 8.81
3 1.33
3 9.17
3 9.84
4 8.57
4 5.04
4 7.18
4 4.54
4 4.37
5 7.36
5 4.97
5 2.66
What I would like to do is repeatedly sample the ix (a factor), not the individual
rows. For example, say I wanted to repeatedly sample (at a sample size of 3) the ix
value -
e.g. 1,3,5 then average the "value"s within those factors and then lets say take the
median across this each.
So for a random sample of (1,3,5) that would be:
median(c(mean(c(5.73,6.99,0.32,4.64,8.39)), mean(6.82,8.81,1.33,9.17,9.84),
mean(7.36,4.97,2.66)))
Then repeat this over combinations of 3 ix factors e.g. (1,2,3), (1,1,4), etc...
Is it possible to subsample a factor using boot() and then use that sample of factors
to access rows, rather than directly sample rows?
Thanks!!!
-Scott
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