search for: kuruvill

Dear List, Below is a simple, standard loss model that takes into account the terms of an insurance policy: deductible <- 15 coverage.limit <- 75 insurance.threshold <- deductible + coverage.limit tmpf <- function() { loss <- rlnorm(rpois(1, 3), 2, 5) sum(ifelse(loss > insurance.threshold, loss - coverage.limit, pmin(loss, deductible))) } net <- replicate(1000000, tmpf())

Please help me evaluate a "dynamic variable" as show in the code snippet below. # regular variable a = c(1,2,3,4) # dynamic variable set at runtime DV = "a" eval(DV) --> a eval(eval(DV)) --> a # what I want something_goes_here(DV) --> 1,2,3,4 Can someone teach me how to do this? Thanks very much. - Bobby

I would like to be able to randomise presence-absence (i.e. binary) matrices whilst keeping both the row and column totals constant. Is there a function in R that would allow me to do this? I'm working with vegetation presence-absence matrices based on field observations. The matrices are formatted to have sites as rows and species as columns. The presence of a species on a site is