24 lines
655 B
R
24 lines
655 B
R
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# foreach version based on for-loop version from Wikipedia
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# http://en.wikipedia.org/wiki/Bootstrapping_(statistics)
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library(foreach)
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data(iris)
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x <- iris[which(iris[,5] != "setosa"), c(1,5)]
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trials <- 10000
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nwsopts <- list(chunkSize=150)
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# Can use the following "final" function instead of
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# using cbind as the "combine" function.
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final <- function(a) do.call('cbind', a)
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print(system.time(
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r <- foreach(icount(trials), .final=final, .options.nws=nwsopts) %dopar% {
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ind <- sample(100, 100, replace=TRUE)
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result1 <- glm(x[ind,2]~x[ind,1], family=binomial(logit))
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coefficients(result1)
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}
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))
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hist(r[1,], breaks=40)
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dev.new()
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hist(r[2,], breaks=40)
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