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###### updated on 21-09-2018, the function for correlation of pirwise Fst (Weir and Cockerham, 1984) and distance
COR_Fstd = function (x, d, ncode,nrepet) {
read.genepop1 <- function(file, ncode, quiet = TRUE) {
adegenet::.readExt
adegenet::.genlab
adegenet::df2genind
adegenet::is.genind
adegenet::pop
adegenet::repool
adegenet::Hs
adegenet::seppop
adegenet::popNames
ade4::mantel.randtest
if (toupper(.readExt(file)) != "GEN")
stop("File extension .gen expected")
if (!quiet)
cat("\n Converting data from a Genepop .gen file to a genind object... \n\n")
prevcall <- match.call()
txt <- scan(file, sep = "\n", what = "character", quiet = TRUE)
if (!quiet)
cat("\nFile description: ", txt[1], "\n")
txt <- txt[-1]
txt <- gsub("\t", " ", txt)
NA.char <- paste(rep("0", ncode), collapse = "")
locinfo.idx <- 1:(min(grep("POP", toupper(txt))) - 1)
locinfo <- txt[locinfo.idx]
locinfo <- paste(locinfo, collapse = ",")
loc.names <- unlist(strsplit(locinfo, "([,]|[\n])+"))
loc.names <- trimws(loc.names)
nloc <- length(loc.names)
txt <- txt[-locinfo.idx]
pop.idx <- grep("^([[:space:]]*)POP([[:space:]]*)$", toupper(txt))
npop <- length(pop.idx)
nocomma <- which(!(1:length(txt)) %in% grep(",", txt))
splited <- nocomma[which(!nocomma %in% pop.idx)]
if (length(splited) > 0) {
for (i in sort(splited, decreasing = TRUE)) {
txt[i - 1] <- paste(txt[i - 1], txt[i], sep = " ")
}
txt <- txt[-splited]
}
pop.idx <- grep("^([[:space:]]*)POP([[:space:]]*)$", toupper(txt))
txt[length(txt) + 1] <- "POP"
nind.bypop <- diff(grep("^([[:space:]]*)POP([[:space:]]*)$", toupper(txt))) - 1
pop <- factor(rep(1:npop, nind.bypop))
txt <- txt[-c(pop.idx, length(txt))]
temp <- sapply(1:length(txt), function(i) strsplit(txt[i], ","))
ind.names <- vapply(temp, function(e) e[1], character(1))
ind.names <- trimws(ind.names)
vec.genot <- vapply(temp, function(e) e[2], character(1))
vec.genot <- trimws(vec.genot)
X <- matrix(unlist(strsplit(vec.genot, "[[:space:]]+")), ncol = nloc, byrow = TRUE)
if (any(duplicated(ind.names))) {
rownames(X) <- .genlab("", nrow(X))
} else {
rownames(X) <- ind.names
}
colnames(X) <- loc.names
pop.names.idx <- cumsum(table(pop))
pop.names <- ind.names[pop.names.idx]
levels(pop) <- pop.names
if (!all(unique(nchar(X)) == (ncode * 2)))
stop(paste("some alleles are not encoded with", ncode, "characters\nCheck 'ncode' argument"))
res <- df2genind(X = X, pop = as.character(pop), ploidy = 2, ncode = ncode, NA.char = NA.char)
res@call <- prevcall
if (!quiet)
cat("\n...done.\n\n")
return(res)
}
g = read.genepop1(x, ncode, quiet = TRUE)
# genind file
hierfstat::genind2hierfstat
g1=genind2hierfstat(g)
hierfstat::pairwise.WCfst
PFst = pairwise.WCfst(g1)
PFst=as.dist(PFst, diag = FALSE, upper = FALSE)
npops = length(levels(g1$pop))
## if M is matrix, then
if (class(PFst) != "matrix" & class(PFst) != "dist")
stop("PFst has to be a matrix")
if (class(d) == "matrix" | class(d) == "dist") {
if (length(PFst) != length(d))
stop("Numbers of rows in PFst and Dgeo are not equal")
if (sum(is.na(PFst)) != 0 | sum(is.na(d)) != 0)
stop("Missing data in the dataset")
Dgeo = as.dist(d, diag = FALSE, upper = FALSE)
#COR_Fstd = cor.test(PFst, Dgeo, type= "pearson")
COR_Fstd=mantel.randtest(PFst, Dgeo, nrepet = 999)
}
if (is.null(d)==TRUE) {
M = matrix(data = 0, nrow = npops, ncol = npops) ## nrow=npops, ncol=npops, which is 16 here
colnames(M) = levels(g1$pop)
rownames(M) = levels(g1$pop)
for (i in 1:npops) {
for (j in 1:npops) {
M[i, j] = abs(i - j)
}
}
Dgeo = as.dist(M, diag = FALSE, upper = FALSE)
# if we want test IBD by mantel test ibd <- mantel.randtest(Dgen2,Dgeo1) plot(ibd) plot(Dgeo1, Dgen2)
# abline(lm(Dgen2~Dgeo1), col='red',lty=2) if we want use the euclidean distance rather the real matrix distance
# Dgeo1=dist(M, method = 'euclidean', diag = FALSE, upper = FALSE, p = 2)### this is euclidean distance
# COR_Fsteud= cor(Dgen2,Dgeo1,method = 'pearson') #cor(c(matrix1), c(matrix2)).
COR_Fstd=mantel.randtest(PFst, Dgeo, nrepet)
}
else {if (class(d) != "matrix" & class(d) != "dist")
stop("d (Dgeo) has to be a matrix")}
return(list(pwFst = PFst, Dgeo = Dgeo, COR_Fstd = COR_Fstd))
}
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