R/resampLmer.R

Defines functions resampLmer

Documented in resampLmer

resampLmer <-
function(resamp,dam,sire,response,start,end,ml=F) {
  if (missing(resamp)) stop("Need the resampled data frame")
  if (missing(dam)) stop("Need the dam column name")
  if (missing(sire)) stop("Need the sire column name")
  if (missing(response)) stop("Need the response column name")
  if (missing(start)) stop("Need the starting model number")
  if (missing(end)) stop("Need the ending model number")
  print(time1<- Sys.time()) #start time
  response2<- colnames(resamp)[grep(paste(response), colnames(resamp))]
  dam2<- colnames(resamp)[grep(paste(dam), colnames(resamp))]
  sire2<- colnames(resamp)[grep(paste(sire), colnames(resamp))]
  mod<- matrix(0,ncol=4,nrow=length(response2))   #variance
 for (j in start:end) { 
  print(paste("Working on model: ", j, sep=""))
 if (ml == F) {
  m<- lmer(formula= noquote(paste(response2[j],"~ (1|",dam2[j],") + (1|",sire2[j],") + (1|",dam2[j],":",sire2[j],")",sep="")),
    data=resamp) }
 if (ml == T) {
  m<- lmer(formula= noquote(paste(response2[j],"~ (1|",dam2[j],") + (1|",sire2[j],") + (1|",dam2[j],":",sire2[j],")",sep="")),
    data=resamp, REML=F) } 
  mod[j,]<- c(colSums(diag(VarCorr(m))),attr(VarCorr(m),"sc")^2)
  col_names<- as.data.frame(VarCorr(m))$grp; rm(m)   }
   comp<- as.data.frame(mod)
   colnames(comp)<- col_names
   comp$Total<- rowSums(comp)
colnames(comp)<- gsub(end,'', colnames(comp))
  temp<- comp #to not override column names
  colnames(temp)[which(colnames(temp)==dam)]<- "dam"
  colnames(temp)[which(colnames(temp)==sire)]<- "sire"
  colnames(temp)[which(colnames(temp)==noquote(paste(dam,":",sire,sep="")))]<- "dam:sire"
  comp$additive<- 4*temp$sire
  comp$nonadd<- 4*temp$'dam:sire'
  comp$maternal<- temp$dam- temp$sire
   print(Sys.time()- time1) #end time
   invisible(comp)  #after time
}

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fullfact documentation built on March 14, 2021, 5:08 p.m.