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]]
On 11-01-27 13:16, Ben Boyadjian 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.x <- c(1, 1.3) x==round(x, 0)> B)add elements until the first appearance of a negative element.y <- c(1, 3, 7, -2, 3, -7) sum(y[1:which(y<0)[1]-1])> 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%.Dono. Ideas?> Thank yoou > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at 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. >-- Sascha Vieweg, saschaview at gmail.com
On 11-01-27 15:12, Sascha Vieweg wrote:> On 11-01-27 13:16, Ben Boyadjian 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. > > x <- c(1, 1.3) > x==round(x, 0)Oh, wrong, sorry! This code belongs to your question about finding the integers!>> B)add elements until the first appearance of a negative element. > > y <- c(1, 3, 7, -2, 3, -7) > sum(y[1:which(y<0)[1]-1]) > >> 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%. > > Dono. Ideas? > >> Thank yoou >> >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help at 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. >> > >-- Sascha Vieweg, saschaview at gmail.com
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_21@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]]
On 2011-01-27 05:16, Ben Boyadjian 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%. >This sure looks like homework to me. You've lucked out - a couple of people have already helped you. My question is: If this is indeed homework, is your instructor ill or otherwise not available? Or why have you not sought help from your instructor? Peter Ehlers> Thank yoou > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at 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.
On Thu, 2011-01-27 at 09:50 -0500, Thomas Stewart wrote:> For question 2, > > TTT <- rt(1000,3) > mean(TTT[rank(TTT) <= 975 & rank(TTT) >25])mean(TTT, trim = 0.05) What you are doing is only removing 5% of observations in total, whilst the question asks for 5% removed off *each* end. G> > On Thu, Jan 27, 2011 at 8:16 AM, Ben Boyadjian <benjy_cy_21 at 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 at 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 at 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.-- %~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~% Dr. Gavin Simpson [t] +44 (0)20 7679 0522 ECRC, UCL Geography, [f] +44 (0)20 7679 0565 Pearson Building, [e] gavin.simpsonATNOSPAMucl.ac.uk Gower Street, London [w] http://www.ucl.ac.uk/~ucfagls/ UK. WC1E 6BT. [w] http://www.freshwaters.org.uk %~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%