bv.standardization {MoBPS} | R Documentation |
BV standardization
Description
Function to get mean and genetic variance of a trait to a fixed value
Usage
bv.standardization(
population,
mean.target = 100,
var.target = 10,
gen = NULL,
database = NULL,
cohorts = NULL,
adapt.bve = FALSE,
adapt.pheno = FALSE,
verbose = FALSE
)
Arguments
population |
Population list |
mean.target |
Target mean |
var.target |
Target variance |
gen |
Quick-insert for database (vector of all generations to export) |
database |
Groups of individuals to consider for the export |
cohorts |
Quick-insert for database (vector of names of cohorts to export) |
adapt.bve |
Modify previous breeding value estimations by scaling (default: FALSE) |
adapt.pheno |
Modify previous phenotypes by scaling (default: FALSE) |
verbose |
Set to TRUE to display prints |
Value
Population-list with scaled QTL-effects
Examples
population <- creating.diploid(nsnp=1000, nindi=100, n.additive=100)
population <- bv.standardization(population, mean.target=200, var.target=5)
[Package MoBPS version 1.6.64 Index]