plot_projection {pop.lion} | R Documentation |
Plot population projections
Description
Plot population projections
Usage
plot_projection(projection, title)
Arguments
projection |
A list obtained after running the function |
title |
A string indicating which variable should be plotted
|
Details
Plot average projections with 95% confidence interval.
Value
No returned value, plot created
Examples
oldpar <- par(mfrow = c(1,1))
years = 25
survival <- matrix(1, nrow=180, ncol=2)
survival[1:12, 1:2] <- 0.97^(1/12)
survival[13:24, 1:2] <- 0.98^(1/12)
survival[25:96, 1:2] <- 0.99^(1/12)
survival[97:108, 1:2] <- 0.98^(1/12)
survival[109:120, 1:2] <- 0.96^(1/12)
survival[121:132, 1:2] <- 0.94^(1/12)
survival[133:144, 1:2] <- 0.92^(1/12)
survival[145:156, 1:2] <- 0.90^(1/12)
survival[157:168, 1:2] <- 0.87^(1/12)
survival[169:180, 1:2] <- 0.83^(1/12)
litter_distribution <- c(0.10, 0.30, 0.35, 0.20, 0.05)
conflict_age <- array(4*12, dim=c(2), dimnames=list(c("female", "male")))
conflict_mortality <- array(0, dim=c(12*years, 2), dimnames=list(NULL, c("female", "male")))
conflict_mortality[24:36,] <- 15.2
hunting_age <- array(5*12, dim=c(2), dimnames=list(c("female", "male")))
hunting_mortality <- array(0, dim=c(12*years, 2), dimnames=list(NULL, c("female", "male")))
hunting_mortality[72:84,"male"] <- 10
projection <- project(
years = years,
runs = 100,
survival = survival,
litter_distribution = litter_distribution,
pop_initial = 5,
conflict_age = conflict_age,
conflict_mortality = conflict_mortality,
hunting_age = hunting_age,
hunting_mortality = hunting_mortality,
hunter_error = 0,
K_indiv = 400,
K_pride = 20,
K_coali = 20,
K_edged = 10,
seed = 1,
details = FALSE
)
par(mfrow=c(2,2))
plot_projection(projection, "NINDIV")
plot_projection(projection, "NPRIDES")
plot_projection(projection, "NCOALIS")
plot_projection(projection, "LITTERS")
par(oldpar)
[Package pop.lion version 1.0.1 Index]