> -----Original Message----- > From: Emmanuel Levy [mailto:emmanuel.l...@gmail.com] > Sent: Wednesday, August 12, 2009 4:48 PM > To: Nordlund, Dan (DSHS/RDA) > Cc: r-h...@stat.math.ethz.ch; dev djomson > Subject: Re: [R] Random sampling while keeping distribution of nearest > neighbor > distances constant. > > Dear Daniel, > > Thank a lot for your suggestion. It is helpful and got me thinking > more about it so that I can rephrase it: > > Given a vector V containing X values, comprised within 1 and N. I'd > like to sample values so that the *distribution* of distances between > the X values is similar. > > There are several distributions: the 1st order would be given by the > function diff. > The 2d order distribution would be given by > diff(V[seq(1,length(V),by=2)]) and diff(V[seq(2,length(V),by=2)]) > The 3rd order distribution diff(V[seq(1,length(V),by=3)]) and > diff(V[seq(2,length(V),by=3)]) and diff(V[seq(3,length(V),by=3)]) > The 4th order .... > > I would like to produce different samples, where the first, or first > and second, or first and second and third, or up to say five orders > distance distributions are reproduced. > > Is anybody aware of a formalism that is explained in a book and that > could help me deal with this problem? Or even better of a package? > > Thanks for your help, > > Emmanuel > >
But if the 1st order differences are the same, then doesn't it follow that the 2nd, 3rd, ... order differences must be the same between the original and the new "random" vector. What am I missing? Dan Daniel J. Nordlund Washington State Department of Social and Health Services Planning, Performance, and Accountability Research and Data Analysis Division Olympia, WA 98504-5204 ______________________________________________ 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.
