Nothing
# ------------------------------------------------------------
# Recombination Statistics
# ------------------------------------------------------------
setGeneric("recomb.stats", function(object,new.populations=FALSE,subsites=FALSE) standardGeneric("recomb.stats"))
setMethod("recomb.stats", "GENOME",
function(object,new.populations,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_Recomb$Populations <- object@populations
}else{
npops <- length(new.populations)
object@Pop_Recomb$Populations <- new.populations
}
# bial <- object@biallelics
# Init
init <- matrix(,n.region.names,npops)
RM <- init
# Names
nam <- paste("pop",1:npops)
rownames(RM) <- region.names
colnames(RM) <- nam
if(!missing(new.populations)){
NEWPOP <- TRUE
populations <- vector("list",npops)
}else{
NEWPOP <- 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$sites <- "gene"
}
}# End if subsites
############### ---------------------------------
if(length(bial)!=0){ # if a biallelic position exists
if(NEWPOP){ # wenn neu Populationen definiert
for(yy in 1:npops){
if(is.character(new.populations[[yy]])){
#populations[[yy]] <- match(new.populations[[yy]],rownames(object@DATA[[xx]]@matrix_pol))
populations[[yy]] <- match(new.populations[[yy]],rownames(bial))
naids <- which(!is.na(populations[[yy]]))
populations[[yy]] <- populations[[yy]][naids]
}else{
populations[[yy]] <- new.populations[[yy]]
ids <- which(populations[[yy]]>dim(bial)[1])
if(length(ids)>0){ populations[[yy]] <- populations[[yy]][-ids]}
}
}
#----------------------#
temp <- delNULLpop(populations)
populations <- temp$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 <- hudsonkaplan85rm(bial,populations)
RM[xx,respop] <- res
# -------------------
# PROGRESS #######################################################
progr <- progressBar(xx,n.region.names, progr)
###################################################################
}
}
object@RM <- RM
return(object)
})
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