Dear R users, I am new to R. I would like to calculate bootstrap confidence intervals using the BCa method for a parameter of interest. My situation is this: I already have a set of 1000 bootstrap replicates created from my original data set. I have already calculated the statistic of interest for each bootstrap replicate, and have also calculated the mean for this statistic across all the replicates. Now I would like to calculate Bca confidence intervals for this statistic. Is there a way to import my previously-calculated set of 1000 statistics into R, and then calculate bootstrap confidence intervals around the mean from this imported data?
I have found the code for boot.ci in the manual for the boot package, but it looks like it requires that I first use the "boot" function, and then apply the output to "boot.ci". Because my bootstrap samples already exist, I don't want to use "boot", but just want to import the 1000 values I have already calculated, and then get R to calculate the mean and Bca confidence intervals based on these values. Is this possible? Hopefully this makes sense. Thanks so much for any help or advice, Christy Dolph Graduate Student Water Resources Science University of Minnesota-Twin Cities ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.