fast generating 1000 means of sample points from truncated gamma distriution with 1000 different shapes and scales values in R

r,distribution,gamma-distribution

There are several things going on here. First, you calculate the scales as: scale.list <- runif(1000, max = 100000, min = 100000) but since min = max, all the values are identical. Second, you do not specify lb.arg or ub.arg, so I set them to 20 and 50 arbitrarily. Third,...

Netlogo - Sampling from a Beta-Pert Distribtuion

distribution,netlogo,gamma-distribution,beta-distribution

to-report random-pert [#minval #likeval #maxval] ;use pert params to draw from a beta distribution if not (#minval <= #likeval and #likeval <= #maxval) [error "wrong argument ranking"] if (#minval = #likeval and #likeval = #maxval) [report #minval] ;;handle trivial inputs let pert-var 1. / 36 let pert-mean (#maxval + 4...

Check the return values from function Gammad and Truncate (from package distr and truncdist)

r,distribution,truncation,gamma-distribution

From the rgamma help page: "Invalid arguments will result in return value NaN, with a warning." If this is what you see, you could use ow <- options("warn") options(warn=2) G0 <- try(Gammad(scale = s, shape = sh), silent=TRUE) if(inherits(G0, "try-error")) # handle invalid arguments options(warn=ow) ...