search for: dicrete

Hello, <http://tolstoy.newcastle.edu.au/R/help/04/07/0312.html#0313qlink1> Could anybody tell me how to generate discrete Laplacian distribution? I need to sample uma discretised Laplacian density like this: J( g -> g´) ~ exp (-lambda | g´ - g |) g in {0,…, gmax} Thanks, Nicolette [[alternative HTML version deleted]]

...t I find it's very difficult to understand this model fully and can't find a good teacher.My question is that:Now I do some research about one marine shrimp: Penaeus chinensis, it's life cycle is one year. after it breed it's offsprings, it will died. This shrimp's life cycle is dicrete ,if i use project matrix or life cyle graph to express it,how can i do it? Best regards luan_sheng

...t;) x2 <- seq(1, max(x), 0.1) y2 <- fun(x2) plot(x, y, type = "l") lines(x2, y2, col = "red") max.x <- optimize(fun, interval = range(x), maximum = TRUE) print(max.x) # x coordinate of global maximum of y by spline and optimize x[which(y == max(y))] # global maximum of dicrete x-y vectors spline function uses cubic spline method to obtain the undefined values in a discrete series and optimize function calculates EXACT LOCATION of the extremum. I suspect we have a communication failure :)

Hi, Thanks for your mail, and time It is not working for some arguments, when mean value is like >6. case mc0 <- c(0.08844446,0.1744455,0.1379778,0.1209769,0.1573065,0. 1134463,0.2074027) rv <-UnivarMixingDistribution(Norm(486.4255, 53.24133), Norm(664.0713, 3.674773), Norm(669.0484, 4.101381),

...(x, y, type = "l") > > lines(x2, y2, col = "red") > > > > max.x <- optimize(fun, interval = range(x), maximum = TRUE) > > print(max.x) # x coordinate of global maximum of y by spline and > optimize > > x[which(y == max(y))] # global maximum of dicrete x-y vectors > > > > > > spline function uses cubic spline method to obtain the undefined values > in a discrete series and optimize function calculates EXACT LOCATION of the > extremum. I suspect we have a communication failure :) > > > > ________________________...