Currently your code does not seem to make any sense ===comments in line====
John Kane Kingston ON Canada > -----Original Message----- > From: s...@st-andrews.ac.uk > Sent: Mon, 18 Feb 2013 16:09:49 +0000 > To: r-help@r-project.org > Subject: [R] help with population matrix > > Hi guys, I am a biologist and an R newbie, and I'm learning how to create > a > simple population model. > > So, I have a population matrix ("pop")of 30 age classes of female (1:4 > are > non-breeders, 5:30 are breeders) which will be modelled for 100 years. > >> pop <- matrix(0,30,100) > > I then populate this matrix with 3 young adult females. > >> pop[5, 1] <- 3 What is this expected to do? > > I then want to run this for 100 years, with stochasticity, to see how > this > population does over time. > >> for (y in 1:100) { >> pop[1,t+1] <- rbinom(1,colSums(pop[5:30, t]), b/2) > > (I haven't filled these in but you don't need them, they all have > different > survival probabilities to the sexually-mature adults.) > >> pop[5, t+1] <- rbinom(1, pop[4, t], s2) >> pop[6, t+1] <- rbinom(1, pop[5, t], s2) > ..... >> pop[30, t+1] <- rbinom(1, pop[29, t], s2) > } > What is t , s2 b etc? > So my question is: is there any way of populating this matrix without > having to explicitly write 30 lines of code? Because lines 5 - 30 are all > going to be the same, and yet even after 5 hours (literally) of web > searching and R manual reading I can't find a way to index the rows, > which > seems to be what's needed here. > > Any insight is welcome here, including a different way of modelling this > population. > Many thanks, Sam. This may be one of the cases where it really is better to have some detailed explanation of what you want rather than how to code it. ____________________________________________________________ FREE 3D MARINE AQUARIUM SCREENSAVER - Watch dolphins, sharks & orcas on your desktop! ______________________________________________ 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.