###########################################
#'@export
###########################################
get.GLD <- function(path='.', loci=NULL, exclude = 'ALL', ...){
#Some initial parameter setup and autodetection for the populations and loci
pops <- setdiff(dir(path) , dir(path, pattern='\\.'))
pops <- setdiff(pops, exclude)
name <- unlist(strsplit(dir(file.path(path, pops[1]), pattern='.ga2l$')[1], paste0('_',pops[1],'_|\\.ga2l')))[1]
if(is.null(loci)){
for (pop in pops){
freq.files <- dir(file.path(path, pop), pattern='.ga2l$')
for (freq.file in freq.files){
loci <- c(loci,unlist(strsplit(freq.file, paste0('_',pop,'_|\\.ga2l')))[2])
#lines <- readLines(file(file.path(path, pop, freq.file), open='r'))
}
}
loci <- sort(unique(loci))
}
#
popFreq <- list()
for (locus in loci){
LRT <- c()
PRS <- c()
for (pop in pops){
filename <- paste(name, pop, paste0(locus, '.ga2l'),sep='_')
f <- file(file.path(path, pop, filename), open='r')
temp <- readLines(f)
close(f)
LRT <- c(LRT, as.numeric(unlist(strsplit(temp[1], 'lnL ratio test statistic | p-value on |\\. df: '))[4]))
PRS <- c(PRS, as.numeric(unlist(strsplit(temp[2], ' \\(observed p-value is quantile | of | simulations\\)'))[2]))
}
if(is.null(popFreq$LRT)){
popFreq$LRT <- data.frame(LRT, row.names=pops)
popFreq$PRS <- data.frame(PRS, row.names=pops)
} else {
popFreq$LRT <- cbind(popFreq$LRT, LRT)
popFreq$PRS <- cbind(popFreq$PRS, PRS)
}
}
closeAllConnections()
colnames(popFreq$LRT) <- loci
colnames(popFreq$PRS) <- loci
return(popFreq)
}
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