Nothing
'#
Authors
Torsten Pook, torsten.pook@wur.nl
Copyright (C) 2017 -- 2025 Torsten Pook
This program is free software; you can redistribute it and/or
modify it under the terms of the GNU General Public License
as published by the Free Software Foundation; either version 3
of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
'#
#' Derive culling time
#'
#' Function to derive time point of culling for each individual
#' @param population Population list
#' @param database Groups of individuals to consider for the export
#' @param gen Quick-insert for database (vector of all generations to export)
#' @param cohorts Quick-insert for database (vector of names of cohorts to export)
#' @param id Individual IDs to search/collect in the database
#' @param use.id Set to TRUE to use MoBPS ids instead of Sex_Nr_Gen based names (default: TRUE)
#' @param use.all.copy Set to TRUE to extract phenotyping
#' @examples
#' data(ex_pop)
#' get.class(ex_pop, gen=2)
#' @return Class of in gen/database/cohorts selected individuals
#' @export
get.culling.time <- function(population, database=NULL, gen=NULL, cohorts=NULL, id = NULL, use.id=TRUE, use.all.copy = TRUE){
database <- get.database(population, gen, database, cohorts, id = id)
n.animals <- sum(database[,4] - database[,3] +1)
data <- rep(NA, n.animals)
before <- 0
names <- numeric(n.animals)
if(use.all.copy){
rindex = 1
for(row in 1:nrow(database)){
animals <- database[row,]
if(diff(database[row,3:4])>(-1)){
for(index in database[row,3]:database[row,4]){
names[rindex] <- paste(if(animals[2]==1) "M" else "F", index,"_", animals[1],sep="")
copies <- population$breeding[[animals[1]]][[animals[2]]][[index]][[21]]
for(rows in 1:nrow(copies)){
if(!is.na(population$breeding[[copies[rows,1]]][[38 + copies[rows,2]]][copies[rows,3]])){
data[rindex] <- min(data[rindex], population$breeding[[copies[rows,1]]][[38 + copies[rows,2]]][copies[rows,3]], na.rm = TRUE)
}
}
rindex <- rindex + 1
}
}
}
} else{
for(row in 1:nrow(database)){
animals <- database[row,]
nanimals <- database[row,4] - database[row,3] +1
if(nanimals>0){
data[(before+1):(before+nanimals)] <- population$breeding[[animals[1]]][[38+ animals[2]]][animals[3]:animals[4]]
names[(before+1):(before+nanimals)] <- paste(if(animals[2]==1) "M" else "F", animals[3]:animals[4],"_", animals[1], sep="")
before <- before + nanimals
}
}
}
if(use.id){
names(data) <- get.id(population, database = database)
} else{
names(data) <- names
}
return(data)
}
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