Defines functions defineCosts

Documented in defineCosts

#' Define the costs that go into breeding
#' Default for some costs is zero because they probably belong to fixed costs
#'@param sEnv the environment that BSL functions operate in. Default is "simEnv" so use that to avoid specifying when calling functions
#'@param phenoCost named vector: names are the plot types and contents are the cost for one plot of that type (default: Standard=1; if plotTypes have been defined in defineVariances and phenoCost is not specified, all plotTypes are given a cost of 1)
#'@param genoCost scalar: cost to genotype one individual default (0.25)
#'@param crossCost scalar: cost of creating a new individual from a cross (1)
#'@param selfCost scalar: the cost of creating a selfed seed (1)
#'@param doubHapCost scalar: the cost of creating a doubled haploid seed (5)
#'@param predCost scalar: the cost of running the analysis to make predictions (0)
#'@param selectCost scalar: the cost of running the analysis to do selection (0)
#'@param locCost scalar: the cost of maintaining a location for a year (0)
#'@param yearCost scalar: the cost of program upkeep for a year (0)
#'@return modifies the list sims in environment sEnv by adding cost parameters allowing the total cost of the simulated scheme to be calculated
defineCosts <- function(sEnv=NULL, phenoCost=NULL, genoCost=0.25, crossCost=1, selfCost=1, doubHapCost=5, predCost=0, selectCost=0, locCost=0, yearCost=0){
    if(exists("simEnv", .GlobalEnv)){
      sEnv <- get("simEnv", .GlobalEnv)
    } else{
      stop("No simulation environment was passed")
  bsl <- sEnv$sims[[1]]
  if (is.null(phenoCost)){
    phenoCost <- rep(1, length(bsl$varParms$plotTypeErrVars))
    names(phenoCost) <- names(bsl$varParms$plotTypeErrVars)
  nLoc <- ifelse(bsl$varParms$randLoc, 0, ncol(bsl$varParms$locCov))
  sEnv$costs <- list(phenoCost=phenoCost, genoCost=genoCost, crossCost=crossCost, selfCost=selfCost, doubHapCost=doubHapCost, predCost=predCost, selectCost=selectCost, locCost=locCost, yearCost=yearCost, nYear=0, nLoc=nLoc)
  sEnv$budgetRec <- data.frame()
  sEnv$totalCost <- locCost * nLoc

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BreedingSchemeLanguage documentation built on May 2, 2019, 10:17 a.m.