#' @title Create genetic groups without looking to countries
#'
#' @description
#' Overall function to create genetic groups without looking to countries
#'
#' @param psInputFile file including number of missing parents per year and breed
#' @param pminGroupSize minimum number of animals required per genetic group
#' @param pnumberOfYears minimum number of birth years required per genetic group
#' @param pglobal_minyear global minimum year
#' @param pglobal_maxyear globar maximum year
#' @param pdiffYear difference in birth years between parents of bulls and parents of dams
#' @param pshiftYear shift between genetic groups of sire and genetic groups of dams; this is required so that they do not contain exactly the same animals
#' @param psOutputFile genetic group csv-file
#' @export create_GG_withoutCountry
create_GG_withoutCountry <- function(psInputFile,
pminGroupSize = 250,
pnumberOfYears = 6,
pglobal_minyear = 1900,
pglobal_maxyear = 2100,
pdiffYear = 3,
pshiftYear = 2,
psOutputFile,
pbLog = FALSE){
### # check parameters
if(is.null(psInputFile)) {
stop("--missingParentsFile has not been specified")
}
### # Reading statistics on missing parents
df_d.gg <- read_statGenGroupOutFile(psInputFile)
### # Define genetic group for breeds
L_gg_def_list <- define_GG_withoutCountry(psInputFile = df_d.gg,
pminGroupSize = pminGroupSize,
pnumberOfYears = pnumberOfYears,
pglobal_minyear = pglobal_minyear,
pglobal_maxyear = pglobal_maxyear)
### # Subtract pdiffYear for genetic groups of parents of bulls
L_gg_def_list_diffYear <- substract_diffYear(psInputFile = L_gg_def_list,
pdiffYear = pdiffYear,
pglobal_minyear = pglobal_minyear,
pglobal_maxyear = pglobal_maxyear)
### # Create genetic groups for dams
L_gg_def_df_dam <- define_GG_dam(psInputFile = L_gg_def_list_diffYear,
pshiftYear = pshiftYear,
pglobal_minyear = pglobal_minyear,
pglobal_maxyear = pglobal_maxyear)
### # Write output files with definition of genetic group
output_GG(psInputFile = L_gg_def_df_dam,
psOutputFile = psOutputFile)
}
#' @title Create genetic groups regarding countries
#'
#' @description
#' Overall function to create genetic groups regarding countries
#'
#' @param psInputFile file including number of missing parents per year and breed
#' @param psBreedsFile Read a breed grouping file
#' @param psCountryFile country grouping file
#' @param pminGroupSize minimum number of animals required per genetic group
#' @param pnumberOfYears minimum number of birth years required per genetic group
#' @param pglobal_minyear global minimum year
#' @param pglobal_maxyear globar maximum year
#' @param pdiffYear difference in birth years between parents of bulls and parents of dams
#' @param pshiftYear shift between genetic groups of sire and genetic groups of dams; this is required so that they do not contain exactly the same animals
#' @param psOutputFile genetic group csv-file
#' @export create_GG
create_GG <- function(psInputFile,
psBreedsFile = NULL,
psCountryFile = NULL,
pminGroupSize = 250,
pnumberOfYears = 6,
pglobal_minyear = 1900,
pglobal_maxyear = 2100,
pdiffYear = 3,
pshiftYear = 2,
psOutputFile,
pbLog = FALSE){
### # check parameters
if(is.null(psInputFile)) {
stop("--missingParentsFile has not been specified")
}
### # Reading statistics on missing parents
df_d.gg <- read_statGenGroupOutFile(psInputFile)
### # Define genetic group for breeds
L_gg_def_list <- define_GG(psInputFile = df_d.gg,
psBreedsFile = psBreedsFile,
psCountryFile = psCountryFile,
pminGroupSize = pminGroupSize,
pnumberOfYears = pnumberOfYears,
pdiffYear = pdiffYear,
pglobal_minyear = pglobal_minyear,
pglobal_maxyear = pglobal_maxyear)
### # Create genetic groups for dams
L_gg_def_df_dam <- define_GG_dam(psInputFile = L_gg_def_list,
pshiftYear = pshiftYear,
pglobal_minyear = pglobal_minyear,
pglobal_maxyear = pglobal_maxyear)
### # Write output files with definition of genetic group
output_GG(psInputFile = L_gg_def_df_dam,
psOutputFile = psOutputFile)
}
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