For question 2, TTT <- rt(1000,3) mean(TTT[rank(TTT) <= 975 & rank(TTT) >25])
On Thu, Jan 27, 2011 at 8:16 AM, Ben Boyadjian <benjy_cy...@hotmail.com>wrote: > Hello I am trying to solve these problems and I am not allowed to use loops > or ifs. > > 1st Question > My first question is that I have generated 100 random numbers from the > uniform distribution then > A)add only the negative integers. > B)add elements until the first appearance of a negative element. > > I know how to choose the negative elements for A but how to find integers? > And I dont know what to do for B. > > 2nd Question > Simulate 1000 observations from the student-t distribution with 3 degrees > of freedom and then calculate the truncated mean by excluding bottom 5% and > top 5%. > > Thank yoou > > > [[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. > [[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.
