selects {simer} | R Documentation |
Selection
Description
Select individuals by combination of selection method and criterion.
Usage
selects(SP = NULL, verbose = TRUE)
Arguments
SP |
a list of all simulation parameters. |
verbose |
whether to print detail. |
Details
Build date: Sep 8, 2018 Last update: Apr 30, 2022
Value
the function returns a list containing
- $sel$pop.sel
the selected males and females.
- $sel$ps
if ps <= 1, fraction selected in selection of males and females; if ps > 1, ps is number of selected males and females.
- $sel$decr
whether the sort order is decreasing.
- $sel$sel.crit
the selection criteria, it can be 'TBV', 'TGV', and 'pheno'.
- $sel$sel.single
the single-trait selection method, it can be 'ind', 'fam', 'infam', and 'comb'.
- $sel$sel.multi
the multiple-trait selection method, it can be 'index', 'indcul', and 'tmd'.
- $sel$index.wt
the weight of each trait for multiple-trait selection.
- $sel$index.tdm
the index of tandem selection for multiple-trait selection.
- $sel$goal.perc
the percentage of goal more than the mean of scores of individuals.
- $sel$pass.perc
the percentage of expected excellent individuals.
Author(s)
Dong Yin
Examples
# Generate annotation simulation parameters
SP <- param.annot(qtn.num = list(tr1 = 10))
# Generate genotype simulation parameters
SP <- param.geno(SP = SP, pop.marker = 1e4, pop.ind = 1e2)
# Generate phenotype simulation parameters
SP <- param.pheno(SP = SP, pop.ind = 100)
# Generate selection parameters
SP <- param.sel(SP = SP, sel.single = "ind")
# Run annotation simulation
SP <- annotation(SP)
# Run genotype simulation
SP <- genotype(SP)
# Run phenotype simulation
SP <- phenotype(SP)
# Run selection
SP <- selects(SP)