Nothing
'#
Authors
Torsten Pook, torsten.pook@uni-goettingen.de
Copyright (C) 2017 -- 2020 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 genotyping status
#'
#' Function to if selected individuals are genotyped
#' @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 use.id Set to TRUE to use MoBPS ids instead of Sex_Nr_Gen based names (default: FALSE)
#' @examples
#' data(ex_pop)
#' get.genotyped(ex_pop, gen=2)
#' @return Check if in gen/database/cohorts selected individuals are genotyped
#' @export
get.genotyped <- function(population, database=NULL, gen=NULL, cohorts=NULL, use.id=FALSE){
database <- get.database(population, gen, database, cohorts)
n.animals <- sum(database[,4] - database[,3] +1)
genotyped <- colnamed <- numeric(n.animals)
rindex <- 1
for(row in 1:nrow(database)){
animals <- database[row,]
if(diff(database[row,3:4])>0){
for(index in database[row,3]:database[row,4]){
genotyped[rindex] <- population$breeding[[database[row,1]]][[database[row,2]]][[index]][[16]]
colnamed[rindex] <- paste(if(animals[2]==1) "M" else "F", index,"_", animals[1],sep="")
rindex <- rindex + 1
}
}
}
if(use.id){
names(genotyped) <- get.id(population, database = database)
} else{
names(genotyped) <- colnamed
}
genotyped <- genotyped>0
return(genotyped)
}
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