Displaying 4 results from an estimated 4 matches for "bootsample".
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bootsamples
2007 Apr 16
1
My First Function: cryptic error message
...or disguised
parts that would reveal my plans for world domination. The function
is right here at the top:
####################
# bagging function:
bagger <- function (length = 25, formula, dataframe) {
trees <- vector(mode = "list", length = length)
n <- nrow(dataframe)
bootsamples <- rmultinom (length(trees), n,
rep(1,n)/n)
mod <- rpart(formula, data = dataframe,
control = rpart.control(xval = 0))
for (i in 1:length(trees)) {
trees[[i]] <- update(mod,
weights = bootsamples[, i])
}
}
#bri...
2012 Jan 19
1
snow - bootstrapped correlation ranking
...lp me adjusting the following code to parallelized snow code:
#Creating a data set (not needed to be parallel)
n<-100
p<-100
x<-matrix(rnorm(n*p),p)
y<-rnorm(n)
# Bootstrapping
nboot<-1000
alpha<-0.05
rhoboot <- array(0, dim=c(p,nboot))
bootranks <- array(0, dim=c(p,nboot))
bootsamples <- array( floor(runif(n*nboot)*n+1), dim=c(n,nboot))
for (i in 1:nboot){
rhoboot[,i] <- cor(y[bootsamples[,i]],x[bootsamples[,i],])
bootranks[,i] <- p+1rank(abs(rhoboot[,i]))
}
# Summarise results
rankhigh = apply(bootranks, 1, quantile, probs=alpha/2)
ranklow = apply(bootranks, 1, quanti...
2006 Jun 23
1
Problems creating packages.
...ROR
Only *source* packages can be checked.
Here is what my file structure looks like:
.:
DESCRIPTION man R
./man:
bootstrap.rd hessian.rd loglikelihood.rd stdeviation6.rd
freq.rd ks.rd score6.rd stdeviation.rd
hessian6.rd loglikelihood6.rd score.rd
./R:
bootsample.r hessian6.r loglikelihood6.r score6.r stdeviation.r
firstlib.r hessian.r loglikelihood.r score.r
freq.r ks.r Prob.r stdeviation6.r
here is what my DESCRIPTION file looks like:
Package: samp
Title: R custom simulation package
Version: 0.1-1
Date: 2006-06-...
2011 Aug 12
2
Getting bootstrap statistic to work
Hi R-help,
I am trying to implement a nonparametric bootstrap to find the
standard errors of a simple statistics - the ratio of two scalars. I
am having difficulty getting boot() to work correctly. I code a
function to create the ratio of the relevant scalars. theta(data, i).
When I call the function for my data and every observation appearing
once, theta(test, c(1)), I get the correct