Selects a subset of nInd individuals from each full-sib family within a population. Will return all individuals from a full-sib family if it has less than or equal to nInd individuals.
Usage
selectWithinFam(
pop,
nInd,
trait = 1,
use = "pheno",
sex = "B",
famType = "B",
selectTop = TRUE,
returnPop = TRUE,
candidates = NULL,
simParam = NULL,
...
)
Arguments
- pop
and object of
Pop-class
,HybridPop-class
orMultiPop-class
- nInd
the number of individuals to select within a family
- trait
the trait for selection. Either a number indicating a single trait or a function returning a vector of length nInd. The function must work on a vector or matrix of
use
values astrait(pop@use, ...)
- depending on whatuse
is. See the examples andselIndex
.- use
the selection criterion. Either a character (genetic values "gv", estimated breeding values "ebv", breeding values "bv", phenotypes "pheno", or randomly "rand") or a function returning a vector of length nInd. The function must work on
pop
asuse(pop, trait, ...)
or astrait(pop@use, ...)
depending on whattrait
is. See the examples.- sex
which sex to select. Use "B" for both, "F" for females and "M" for males. If the simulation is not using sexes, the argument is ignored.
- famType
which type of family to select. Use "B" for full-sib families, "F" for half-sib families on female side and "M" for half-sib families on the male side.
- selectTop
selects highest values if true. Selects lowest values if false.
- returnPop
should results be returned as a
Pop-class
. If FALSE, only the index of selected individuals is returned.- candidates
an optional vector of eligible selection candidates.
- simParam
an object of
SimParam
- ...
additional arguments if using a function for
trait
anduse
Value
Returns an object of Pop-class
,
HybridPop-class
or MultiPop-class
Examples
#Create founder haplotypes
founderPop = quickHaplo(nInd=10, nChr=1, segSites=10)
#Set simulation parameters
SP = SimParam$new(founderPop)
SP$addTraitA(10)
SP$setVarE(h2=0.5)
#Create population
pop = newPop(founderPop, simParam=SP)
#Create 3 biparental families with 10 progeny
pop2 = randCross(pop, nCrosses=3, nProgeny=10, simParam=SP)
#Select best individual per family
pop3 = selectWithinFam(pop2, 1, simParam=SP)