diegol <diegol81 <at> gmail.com> writes: > > > R version: 2.7.0 > Running on: WinXP > > I am trying to model damage from fire losses (given that the loss occurred). > Since I have the individual insured amounts, rather than sampling dollar > damage from a continuous distribution ranging from 0 to infinity, I want to > sample from a percent damage distribution from 0-100%. One obvious solution > is to use runif(n, min=0, max=1), but this does not seem to be a good idea, > since I would not expect damage to be uniform. >
Beta distribution (rbeta(...)) or logistic-binomial distribution plogis(rnorm(...)) . See e.g. Smithson, Michael, and Jay Verkuilen. 2006. A better lemon squeezer? Maximum-likelihood regression with beta-distributed dependent variables. Psychological Methods 11, no. 1 (March): 54-71. doi:2006-03820-004. ______________________________________________ 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.
