getQtlGeno {SIMplyBee} | R Documentation |
Access QTL genotypes of individuals in a caste
Description
Level 0 function that returns QTL genotypes of individuals in a caste.
Usage
getQtlGeno(
x,
caste = NULL,
nInd = NULL,
trait = 1,
chr = NULL,
dronesHaploid = TRUE,
collapse = FALSE,
simParamBee = NULL
)
getQueenQtlGeno(x, trait = 1, chr = NULL, collapse = FALSE, simParamBee = NULL)
getFathersQtlGeno(
x,
nInd = NULL,
trait = 1,
chr = NULL,
dronesHaploid = TRUE,
collapse = FALSE,
simParamBee = NULL
)
getVirginQueensQtlGeno(
x,
nInd = NULL,
trait = 1,
chr = NULL,
collapse = FALSE,
simParamBee = NULL
)
getWorkersQtlGeno(
x,
nInd = NULL,
trait = 1,
chr = NULL,
collapse = FALSE,
simParamBee = NULL
)
getDronesQtlGeno(
x,
nInd = NULL,
trait = 1,
chr = NULL,
dronesHaploid = TRUE,
collapse = FALSE,
simParamBee = NULL
)
Arguments
x |
|
caste |
NULL or character, NULL when |
nInd |
numeric, number of individuals to access, if |
trait |
numeric (trait position) or character (trait name), indicates which trait's QTL genotypes to retrieve |
chr |
numeric, chromosomes to retrieve, if |
dronesHaploid |
logical, return haploid result for drones? |
collapse |
logical, if the return value should be a single matrix with genotypes of all the individuals |
simParamBee |
|
Value
matrix with genotypes when x
is Colony-class
and
list of matrices with genotypes when x
is
MultiColony-class
, named by colony id when x
is
MultiColony-class
Functions
-
getQueenQtlGeno()
: Access QTL genotype data of the queen -
getFathersQtlGeno()
: Access QTL genotype data of fathers -
getVirginQueensQtlGeno()
: Access QTL genotype data of virgin queens -
getWorkersQtlGeno()
: Access QTL genotype data of workers -
getDronesQtlGeno()
: Access QTL genotype data of drones
See Also
getQtlGeno
and pullQtlGeno
as well as
vignette(topic = "QuantitativeGenetics", package = "SIMplyBee")
Examples
founderGenomes <- quickHaplo(nInd = 4, nChr = 1, segSites = 50)
SP <- SimParamBee$new(founderGenomes)
SP$addTraitA(nQtlPerChr = 10)
basePop <- createVirginQueens(founderGenomes)
drones <- createDrones(x = basePop[1], nInd = 200)
droneGroups <- pullDroneGroupsFromDCA(drones, n = 10, nDrones = nFathersPoisson)
# Create a Colony and a MultiColony class
colony <- createColony(x = basePop[2])
colony <- cross(colony, drones = droneGroups[[1]])
colony <- buildUp(x = colony, nWorkers = 6, nDrones = 3)
colony <- addVirginQueens(x = colony, nInd = 5)
apiary <- createMultiColony(basePop[3:4], n = 2)
apiary <- cross(apiary, drones = droneGroups[c(2, 3)])
apiary <- buildUp(x = apiary, nWorkers = 6, nDrones = 3)
apiary <- addVirginQueens(x = apiary, nInd = 5)
# Input is a population
getQtlGeno(x = getQueen(colony))
queens <- getQueen(apiary, collapse = TRUE)
getQtlGeno(queens)
# Input is a colony
getQtlGeno(colony, caste = "queen")
getQueenQtlGeno(colony)
getQtlGeno(colony, caste = "workers", nInd = 3)
getWorkersQtlGeno(colony)
# Same aliases exist for all the castes!
# Get genotypes for all individuals
getQtlGeno(colony, caste = "all")
# Get all haplotypes in a single matrix
getQtlGeno(colony, caste = "all", collapse = TRUE)
# Input is a MultiColony - same behaviour as for the Colony!
getQtlGeno(apiary, caste = "queen")
getQueenQtlGeno(apiary)
# Get the genotypes of all individuals either by colony or in a single matrix
getQtlGeno(apiary, caste = "all")
getQtlGeno(apiary, caste = "all", collapse = TRUE)