resetEvents {SIMplyBee}

Reset colony events

Description

Level 2 function that resets the slots swarm, split, supersedure, collapsed, and production to FALSE in a Colony or MultiColony object. Useful at the end of a yearly cycle to reset the events, allowing the user to track new events in a new year.

Usage

resetEvents(x, collapse = NULL)

Arguments

x

Colony-class or MultiColony-class

collapse

logical, reset the collapse event (only sensible in setting up a new colony, which the default of NULL caters for; otherwise, a collapsed colony should be left collapsed forever, unless you force resetting this event with collapse = TRUE)

Value

Colony-class or MultiColony-class with events reset

Examples

founderGenomes <- quickHaplo(nInd = 5, nChr = 1, segSites = 50)
SP <- SimParamBee$new(founderGenomes)
basePop <- createVirginQueens(founderGenomes)

drones <- createDrones(x = basePop[1], nInd = 100)
droneGroups <- pullDroneGroupsFromDCA(drones, n = 5, nDrones = nFathersPoisson)

# Create and cross Colony and MultiColony class
colony <- createColony(x = basePop[2])
colony <- cross(colony, drones = droneGroups[[1]])
apiary <- createMultiColony(basePop[4:5], n = 2)
apiary <- cross(apiary, drones = droneGroups[3:4])

# Build-up - this sets Productive to TRUE
(colony <- buildUp(colony, nWorkers = 100))
isProductive(colony)
resetEvents(colony)

apiary <- buildUp(apiary, nWorkers = 100)
isProductive(apiary)
resetEvents(apiary)

# Split - this sets Split to TRUE
tmp <- split(colony)
(split <- tmp$split)
hasSplit(split)
resetEvents(split)
(remnant <- tmp$remnant)
hasSplit(remnant)
resetEvents(remnant)

# Swarm - this sets Swarm to TRUE
tmp <- swarm(colony)
(swarm <- tmp$swarm)
hasSwarmed(swarm)
resetEvents(swarm)
(remnant <- tmp$remnant)
hasSwarmed(remnant)
resetEvents(remnant)

# Supersede - this sets Supersede to TRUE
(tmp <- supersede(colony))
hasSuperseded(tmp)
resetEvents(tmp)

# Collapse - this sets Collapse to TRUE
(tmp <- collapse(colony))
hasCollapsed(tmp)
resetEvents(tmp)
resetEvents(tmp, collapse = TRUE)

# Same behaviour for MultiColony (example for the split)
tmp <- split(apiary)
(splits <- tmp$split)
hasSplit(splits[[1]])
resetEvents(splits)[[1]]
(remnants <- tmp$remnant)
hasSplit(remnants[[1]])
resetEvents(remnants)[[1]]