split {SIMplyBee} | R Documentation |
Split colony in two MultiColony
Description
Level 2 function that splits a Colony or MultiColony object into two new colonies to prevent swarming (in managed situation). The remnant colony retains the queen and a proportion of the workers and all drones. The split colony gets the other part of the workers, which raise virgin queens, of which only one prevails. Location of the split is the same as for the remnant.
Usage
split(x, p = NULL, year = NULL, simParamBee = NULL, ...)
Arguments
x |
|
p |
numeric, proportion of workers that will go to the split colony; if
|
year |
numeric, year of birth for virgin queens |
simParamBee |
|
... |
additional arguments passed to |
Value
list with two Colony-class
or MultiColony-class
,
the split
and the remnant
(see the description what each colony holds!);
both outputs have the split even slot set do TRUE
Examples
founderGenomes <- quickHaplo(nInd = 10, nChr = 1, segSites = 50)
SP <- SimParamBee$new(founderGenomes)
basePop <- createVirginQueens(founderGenomes)
drones <- createDrones(basePop[1], n = 1000)
droneGroups <- pullDroneGroupsFromDCA(drones, n = 10, nDrones = 10)
# Create Colony and MultiColony class
colony <- createColony(x = basePop[2])
colony <- cross(colony, drones = droneGroups[[1]])
(colony <- buildUp(colony, nWorkers = 100))
apiary <- createMultiColony(basePop[3:8], n = 6)
apiary <- cross(apiary, drones = droneGroups[2:7])
apiary <- buildUp(apiary, nWorkers = 100)
# Split a colony
tmp <- split(colony)
tmp$split
tmp$remnant
# Split all colonies in the apiary with p = 0.5 (50% of workers in each split)
tmp <- split(apiary, p = 0.5)
tmp$split[[1]]
tmp$remnant[[1]]
# Split with different proportions
nWorkers(apiary)
tmp <- split(apiary, p = c(0.1, 0.2, 0.3, 0.4, 0.5, 0.6))
nWorkers(tmp$split)
nWorkers(tmp$remnant)
# Split only specific colonies in the apiary
tmp <- pullColonies(apiary, ID = c(4, 5))
# Split only the pulled colonies
(split(tmp$pulled, p = 0.5))