vector of minimum lifespans for each individual.
input a matrix or a single-columned data.frame of capture histories. It will return a vector of minimum lifespans for each row
This function computes the mimimum lifespans given a capture history. This is computed as the first day seen subtracted by the last day seen. For example, an individual with the capture history of "1001" would have a minimum lifespan of 3; "1110" = 2; "1010" = 2, "01000001" = 6 etc. See examples.
A numerical vector of lifespans
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
#' set up variables to be used by Simulate.CH for ten individuals N = 10 x1 = rnorm(N) #' each trait is normally distributed #' Run Simulate.CH with a constant recapture probability chObj = Simulate.CH(surv.form = 1 + 0.15*x1, p.constant = 1, N = N) attributes(chObj) #' see what is inside our object ch_matrix = chObj$ch_split #' grab our matrix from the list ch_matrix #' lets look at it ch_df = chObj$ch #' lets grab a data.frame also ch_df #' we can compute the minimum lifespan on either a matrix or a data.frame as input Lifespan(ch_matrix) #' on a matrix Lifespan(ch_df) #' on a data.frame
Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.