Displaying 3 results from an estimated 3 matches for "bootmean".
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2008 Apr 13
0
R project
...bservations
if(test=="t"){
#t-test
res<-t.test(dat,alternative="two.sided",mu=H0)
} else if(test=="Wilcoxon"){
res<-wilcox.test(dat,alternative="two.sided",mu=H0)
} else {
nboot<-(K-1)
n<-length(dat)
bootmean<-NULL
for(i in 1:nboot){
rdata<-sample(dat,n,replace=T)
bootmean[i]<-mean(rdata)
}
nlo<-round((nboot+1)*(alpha/2))
nhi<-round((nboot+1)*((1-alpha)/2))
bootmean<-sort(bootmean)
low<-bootmean[nlo]
high<-bootmean[nhi]...
2012 Sep 13
2
Missing Values
I am using bootstrap and cannot figure how to tell R to ignore missing values
(NA)
I tried this syntax and it did not work. The name of the file is banks the
column two.
bootmean(banks$two,na.rm = True, conf = 90,nrep = 1000)
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2007 Nov 01
1
loops & sampling
...vector(length=nboot)
for(i in 1:nboot){
rdata <- sample(abc3,n,replace=T)
abc4 <- as.data.frame(t(as.matrix(data.frame(rdata))))
model <- lm(asin(sqrt(abc4$y/100)) ~ I(abc4$x1^2) + abc4$x2)
boot.cor[i] <- cor(abc4$y, model$fit)}
boot.cor
}
bt.cor <- npboot.function(nboot=10)
bootmean <- mean(bt.cor)
Any assistance would be greatly appreciated, also the sooner the better as we are under pressure to reach a conclusion.
Cheers,
Garth
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