Yach.stats.R

setGeneric("Achaz.stats", function(object,new.populations=FALSE,new.outgroup=FALSE,subsites=FALSE) standardGeneric("Achaz.stats"))
 setMethod("Achaz.stats", "GENOME",
 function(object,new.populations,new.outgroup,subsites){

 region.names                       <- object@region.names
 n.region.names                     <- length(region.names)
 
# object@Pop_Recomb$sites        <- "ALL"
# object@Pop_Recomb$calculated   <- TRUE
 
  if(missing(new.populations)){
  npops                           <- length(object@populations)
 # object@Pop_Sweeps$Populations   <- object@populations
  }else{
  npops                           <- length(new.populations)
 # object@Pop_Sweeps$Populations   <- new.populations
  }
 
# bial        <- object@biallelics
# Init
 init        <- matrix(,n.region.names,npops)
 Achaz       <- init
 
# Names
 nam                  <- paste("pop",1:npops)
 # rownames(CL)         <- region.names
 colnames(Achaz)      <- nam
 
 # Populations
 if(!missing(new.populations)){
   NEWPOP      <- TRUE
   populations <- vector("list",npops)
  }else{
   NEWPOP <- FALSE
  } 
 
 # Outgroup
  if(!missing(new.outgroup)){
   NEWOUT <- TRUE
  }else{
   NEWOUT <- FALSE
  } 



## PROGRESS #########################
 progr <- progressBar()
#####################################


for(xx in 1:n.region.names){


### if Subsites ----------------------------------
bial <- popGetBial(object,xx)


if(subsites[1]!=FALSE){

if(subsites=="transitions" & length(bial!=0)){
   tran       <- which(object@region.data@transitions[[xx]]==TRUE)
   bial       <- bial[,tran,drop=FALSE]
   #object@Pop_Recomb$sites <- "transitions"   
}

if(subsites=="transversions" & length(bial!=0)){
   transv       <- which(object@region.data@transitions[[xx]]==FALSE)
   bial         <- bial[,transv,drop=FALSE]
   #object@Pop_Recomb$sites <- "transversions"   
} 

if(subsites=="syn" & length(bial!=0)){
   syn        <- which(object@region.data@synonymous[[xx]]==TRUE)
   bial       <- bial[,syn,drop=FALSE]
   #object@Pop_Recomb$sites <- "synonymous"
}
if(subsites=="nonsyn" & length(bial!=0)){
   nonsyn        <- which(object@region.data@synonymous[[xx]]==FALSE)
   bial          <- bial[,nonsyn,drop=FALSE]
   #object@Pop_Recomb$sites <- "nonsynonymous"
}


if(subsites=="intron" & length(bial!=0)){
   intron        <- which(object@region.data@IntronSNPS[[xx]]==TRUE)
   #if(length(intron)==0){
   #       intron <- object@region.data@GeneSNPS[[xx]] & !object@region.data@ExonSNPS[[xx]]	  
   #}
   bial          <- bial[,intron,drop=FALSE]
   #object@Pop_Recomb$sites <- "introns"
}

if(subsites=="utr" & length(bial!=0)){
   utr           <- which(object@region.data@UTRSNPS[[xx]]==TRUE)
   bial          <- bial[,utr,drop=FALSE]
   #object@Pop_Recomb$sites <- "utr"
}

if(subsites=="exon" & length(bial!=0)){
   exon           <- which(object@region.data@ExonSNPS[[xx]]==TRUE)
   bial           <- bial[,exon,drop=FALSE]
   #object@Pop_Recomb$sites <- "exon"
}

if(subsites=="coding" & length(bial!=0)){
   #coding           <- which(!is.na(object@region.data@synonymous[[xx]]))
   coding           <- which(object@region.data@CodingSNPS[[xx]]==TRUE)
   bial             <- bial[,coding,drop=FALSE]
   #object@Pop_Recomb$sites <- "coding"
}

if(subsites=="gene" & length(bial!=0)){
   gene             <- which(object@region.data@GeneSNPS[[xx]])
   bial             <- bial[,gene,drop=FALSE]
   #object@Pop_Recomb$sites <- "gene"
}
}# End if subsites
############### ---------------------------------



  if(length(bial)!=0){ # if a biallelic position exists  
   
   # OUTGROUP
   ## Outgroup
    if(NEWOUT){

	if(is.character(new.outgroup)){
           outgroup <- match(new.outgroup,rownames(bial)) 
           naids    <- which(!is.na(outgroup))
           outgroup <- outgroup[naids]  
        }else{
           outgroup <- new.outgroup
           ids      <- which(outgroup>dim(bial)[1])
           if(length(ids)>0){outgroup <- outgroup[-ids]}   
        }
        
        if(length(outgroup)==0){outgroup <- FALSE}

    }else{
    outgroup <- object@region.data@outgroup[[xx]]
    }
  # --------------------------------------



    
    if(NEWPOP){ # wenn neu Populationen definiert
       for(yy in 1:npops){
           if(is.character(new.populations[[yy]])){
              #populations[[yy]] <- match(new.populations[[yy]],rownames(object@DATA[[xx]]@matrix_pol))
              populations[[yy]] <- match(new.populations[[yy]],rownames(bial))
              naids             <- which(!is.na(populations[[yy]]))
              populations[[yy]] <- populations[[yy]][naids]
           }else{
              populations[[yy]] <- new.populations[[yy]]
              ids               <- which(populations[[yy]]>dim(bial)[1])
              if(length(ids)>0){ populations[[yy]] <- populations[[yy]][-ids]}   
           }   
       }
       
       #----------------------#
       temp         <- delNULLpop(populations)
       populations  <- temp$Populations
       popmissing   <- temp$popmissing
       #----------------------#   
       if(length(populations)==0){next} # Keine Population vorhanden
       
    }else{
     populations <- object@region.data@populations[[xx]] # if there is no new population
    }

    
    if(NEWPOP)  {if(length(popmissing)!=0){respop <- (1:npops)[-popmissing]}else{respop <- 1:npops}} # nur die Populationen, die existieren
    if(!NEWPOP) {if(length(object@region.data@popmissing[[xx]])!=0){popmissing <- object@region.data@popmissing[[xx]];respop <- (1:npops)[-popmissing]}else{respop <- 1:npops}}
    

     # important for Coalescent Simulation
     # change@Pop_Linkage[[xx]] <- list(Populations=populations,Outgroup=NULL)
     # ------------------- fill detail slots
    
     res                       <- compute_intern_achaz(bial,populations,outgroup)
     Achaz[xx,respop]          <- res
     # -------------------
    
  # PROGRESS #######################################################
    progr <- progressBar(xx,n.region.names, progr)
  ###################################################################

 }
}
 
object@Yach   <- Achaz

 return(object)


})