SIMplyBee (version 0.4.1)

nWorkersPoisson: Sample a number of workers

Description

Sample a number of workers - used when nInd = NULL (see SimParamBee$nWorkers).

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

Usage

nWorkersPoisson(colony, n = 1, average = 100)
nWorkersTruncPoisson(colony, n = 1, average = 100, lowerLimit = 0)
nWorkersColonyPhenotype(
  colony,
  queenTrait = 1,
  workersTrait = NULL,
  checkProduction = FALSE,
  lowerLimit = 0,
  simParamBee = NULL,
  ...
)

Value

numeric, number of workers

Arguments

colony

Colony-class

n

integer, number of samples

average

numeric, average number of workers

lowerLimit

numeric, returned numbers will be above this value

queenTrait

numeric (column position) or character (column name), trait that represents queen's effect on the colony phenotype (defined in SimParamBee - see examples); if 0 then this effect is 0

workersTrait

numeric (column position) or character (column name), trait that represents workers's effect on the colony phenotype (defined in SimParamBee - see examples); if 0 then this effect is 0

checkProduction

logical, does the phenotype depend on the production status of colony; if yes and production is not TRUE, the result is above lowerLimit

simParamBee

SimParamBee, global simulation parameters

...

other arguments of mapCasteToColonyPheno

Functions

• nWorkersTruncPoisson(): Sample a non-zero number of workers

• nWorkersColonyPhenotype(): Sample a non-zero number of workers based on colony phenotype, say queen's fecundity

Details

nWorkersPoisson samples from a Poisson distribution with a given average, which can return a value 0. nDronesTruncPoisson samples from a zero truncated Poisson distribution.

nWorkersColonyPhenotype returns a number (above lowerLimit) as a function of colony phenotype, say queen's fecundity. Colony phenotype is provided by mapCasteToColonyPheno. You need to set up traits influencing the colony phenotype and their parameters (mean and variances) via SimParamBee (see examples).

See Also

SimParamBee field nWorkers and vignette(topic = "QuantitativeGenetics", package = "SIMplyBee")

Examples

nWorkersPoisson()
nWorkersPoisson()
n <- nWorkersPoisson(n = 1000)
hist(n, breaks = seq(from = min(n), to = max(n)), xlim = c(0, 200))
table(n)

nWorkersTruncPoisson()
nWorkersTruncPoisson()
n <- nWorkersTruncPoisson(n = 1000)
hist(n, breaks = seq(from = min(n), to = max(n)), xlim = c(0, 200))
table(n)

# Example for nWorkersColonyPhenotype()
founderGenomes <- quickHaplo(nInd = 3, nChr = 1, segSites = 100)
SP <- SimParamBee$new(founderGenomes)
SP$nThreads = 1L
average <- 100
h2 <- 0.1
SP$addTraitA(nQtlPerChr = 100, mean = average, var = average * h2)
SP$setVarE(varE = average * (1 - h2))
basePop <- createVirginQueens(founderGenomes)
drones <- createDrones(x = basePop[1], nInd = 50)
droneGroups <- pullDroneGroupsFromDCA(drones, n = 2, nDrones = 15)
colony1 <- createColony(x = basePop[2])
colony2 <- createColony(x = basePop[3])
colony1 <- cross(colony1, drones = droneGroups[[1]])
colony2 <- cross(colony2, drones = droneGroups[[2]])
colony1@queen@pheno
colony2@queen@pheno
createWorkers(colony1, nInd = nWorkersColonyPhenotype)
createWorkers(colony2, nInd = nWorkersColonyPhenotype)