Hi Janh, I do not believe that a "one sided" or "two sided" bootstrap makes any sense. It is just a resampling procedure that constructs an empirical distribution. If you wish to examine the point where 5% of the distribution falls in one tail instead of the ends of both tails being 5%, you could simply look at the 90% CI, which will have 5% below and 5% above.
Cheers, Josh On Tue, May 7, 2013 at 8:21 PM, Janh Anni <annij...@gmail.com> wrote: > Hello All, > > Does anyone know if thereâs a function for computing 1-sided confidence > intervals for bootstrapped statistics (mean, median, percentiles, > etc.)? Thanks > in advance > > Janh > > [[alternative HTML version deleted]] > > > ______________________________________________ > R-help@r-project.org 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. > > -- Joshua Wiley Ph.D. Student, Health Psychology University of California, Los Angeles http://joshuawiley.com/ Senior Analyst - Elkhart Group Ltd. http://elkhartgroup.com [[alternative HTML version deleted]]
______________________________________________ R-help@r-project.org 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.
