Sample a number of drones

Sample a number of drones - used when nDrones = NULL (see SimParamBee$nDrones).

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

nDronesPoisson(x, n = 1, average = 100)

nDronesTruncPoisson(x, n = 1, average = 100, lowerLimit = 0)

nDronesColonyPhenotype(
  x,
  queenTrait = 1,
  workersTrait = NULL,
  checkProduction = FALSE,
  lowerLimit = 0,
  simParamBee = NULL,
  ...
)

Arguments

x: Pop-class or Colony-class
n: integer, number of samples
average: numeric, average number of drones
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

Value

numeric, number of drones

Details

nDronesPoisson samples from a Poisson distribution with a given average, which can return a value 0.

nDronesTruncPoisson samples from a zero truncated Poisson distribution.

nDronesColonyPhenotype 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).

When x is Pop-class, only workersTrait is not used, that is, only queenTrait is used.

Functions

nDronesTruncPoisson(): Sample a non-zero number of drones
nDronesColonyPhenotype(): Sample a non-zero number of drones based on colony phenotype, say queen's fecundity

Examples

nDronesPoisson()
#> [1] 99
nDronesPoisson()
#> [1] 98
n <- nDronesPoisson(n = 1000)
hist(n, breaks = seq(from = min(n), to = max(n)), xlim = c(0, 200))

table(n)
#> n
#>  71  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89  90  91 
#>   1   1   1   1   3   3   4   4   8   5   7  11   8  10  19  20  21  19  31  35 
#>  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107 108 109 110 111 
#>  24  19  39  37  37  37  44  40  34  33  33  32  39  32  28  40  28  25  26  25 
#> 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 138 
#>  20  13  22  18   9   9  10  11   7   1   3   3   1   1   2   1   1   1   1   2 

nDronesTruncPoisson()
#> [1] 105
nDronesTruncPoisson()
#> [1] 94
n <- nDronesTruncPoisson(n = 1000)
hist(n, breaks = seq(from = min(n), to = max(n)), xlim = c(0, 200))

table(n)
#> n
#>  70  73  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89  90  91  92 
#>   1   1   1   1   1   4   5   2   8   6   4  12   9  14  14  23  26  21  26  29 
#>  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107 108 109 110 111 112 
#>  24  41  36  35  37  41  41  43  47  31  43  30  36  36  31  27  18  31  23  20 
#> 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 131 
#>  21  14  16  19  13  10   5   7   1   3   1   4   1   2   2   1   1 

# Example for nDronesColonyPhenotype()
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)
#> Error in get(x = "SP", envir = .GlobalEnv): object 'SP' not found
drones <- createDrones(x = basePop[1], nInd = 50)
#> Error in get(x = "SP", envir = .GlobalEnv): object 'SP' not found
droneGroups <- pullDroneGroupsFromDCA(drones, n = 2, nDrones = 15)
#> Error in get(x = "SP", envir = .GlobalEnv): object 'SP' not found
colony1 <- createColony(x = basePop[2])
#> Error in get(x = "SP", envir = .GlobalEnv): object 'SP' not found
colony2 <- createColony(x = basePop[3])
#> Error in get(x = "SP", envir = .GlobalEnv): object 'SP' not found
colony1 <- cross(colony1, drones = droneGroups[[1]])
#> Error in get(x = "SP", envir = .GlobalEnv): object 'SP' not found
colony2 <- cross(colony2, drones = droneGroups[[2]])
#> Error in get(x = "SP", envir = .GlobalEnv): object 'SP' not found
colony1@queen@pheno
#> Error in eval(expr, envir, enclos): object 'colony1' not found
colony2@queen@pheno
#> Error in eval(expr, envir, enclos): object 'colony2' not found
createDrones(colony1, nInd = nDronesColonyPhenotype)
#> Error in get(x = "SP", envir = .GlobalEnv): object 'SP' not found
createDrones(colony2, nInd = nDronesColonyPhenotype)
#> Error in get(x = "SP", envir = .GlobalEnv): object 'SP' not found

Arguments

Value

Details

Functions

See also

Examples