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.
'#
#' Number of individuals
#'
#' Function to calculate the number of individuals in the population list
#' @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 count.copy Set to TRUE to double count individuals if multiple copies of an individual are included in gen/database/cohorts
#' @param extended Set to TRUE to export information on number of phenotyped, genotyped, and both pheno&genotyped individuals
#' @return Numeric value
#' @examples
#' data(ex_pop)
#' get.nindi(ex_pop, gen = 1)
#' @export
get.nindi <- function(population, database=NULL, gen=NULL, cohorts= NULL, id = NULL, extended = FALSE, count.copy = FALSE){
if(length(gen)==0 && length(database)==0 && length(cohorts)==0){
gen = 1:get.ngen(population)
}
ids = get.id(population, gen = gen, database = database, cohorts = cohorts, id = id)
if(count.copy){
nindi = length(ids)
} else{
nindi = sum(!duplicated(ids))
}
if(extended){
database = get.database(population, gen = gen, database = database, cohorts = cohorts)
npheno = get.npheno(population, database = database)
ngeno = get.genotyped(population, database = database)
ids = get.id(population, database = database)
n_pheno = sum(!duplicated(ids[npheno>0]))
n_geno = sum(!duplicated(ids[ngeno>0]))
n_both = sum(!duplicated(ids[ngeno>0 & npheno>0]))
out = c(nindi, n_pheno, n_geno, n_both)
names(out) = c("total", "phenotyped", "genotyped", "both")
return(out)
}
return(nindi)
}
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