pop: Population and Harvest Simulations
In peterdonati/hhss: Hunter Harvest Survey Simulations

Description Usage Arguments Value Examples

View source: R/pop.R

The pop function simulates a population of hunters and whether or not they were successful in harvesting.

1	pop(N, split = 1, success1, success2 = success1)

`N`	The desired population size.
`split`	Proportion of the population that is placed into group 1. The remaining proportion, i.e. (`1 - split`), will be in group 2.
`success1`	Probability of a hunter in group 1 to harvest
`success2`	Probability of a hunter in group 2 to harvest

A data frame of class hhss_pop where each observation represents a hunter. It contains the variables:

N: The population size.
true_harvest: The sum of harvests from the population.
group: The group in which the hunter was placed.
harvest: 1 for a successful hunter, and 0 if unsuccessful.

# Simulate a population of 10,000 hunters where each hunter has a
# probability of 0.3 to harvest:
pop(N = 10000, success1 = 0.3)

# Simulate a population of 10,000 hunters where roughly 70% of hunters are in
# group 1, and the remaining 30% are in group 2. Simulate harvest so hunters
# in group 1 harvest at a probability of 0.3, and hunters in group 2 at 0.5:
pop(N = 10000, split = 0.7, success1 = 0.3, success2 = 0.5)