Sample the swarm proportion - the proportion of workers that
swarm - used when `p = NULL`

(see `SimParamBee$swarmP`

).

This is just an example. You can provide your own functions that satisfy
your needs!

`swarmPUnif(colony, n = 1, min = 0.4, max = 0.6)`

## Arguments

- colony
`Colony-class`

- n
integer, number of samples

- min
numeric, lower limit for `swarmPUnif`

- max
numeric, upper limit for `swarmPUnif`

## Value

numeric, swarm proportion

## Details

`swarmPUnif`

samples from a uniform distribution between values
0.4 and 0.6 irrespective of colony strength.

The `nWorkersFull`

default value used in this function is geared
towards a situation where we simulate ~100 workers per colony (down-scaled
simulation for efficiency). If you simulate more workers, you should change
the default accordingly.

## Examples

```
swarmPUnif()
#> [1] 0.592287
swarmPUnif()
#> [1] 0.4715171
p <- swarmPUnif(n = 1000)
hist(p, breaks = seq(from = 0, to = 1, by = 0.01), xlim = c(0, 1))
```