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######################################################################
#
# read.cross.karl.R
#
# copyright (c) 2000-2019, Karl W Broman
# last modified Dec, 2019
# first written Aug, 2000
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License,
# version 3, as published by the Free Software Foundation.
#
# This program is distributed in the hope that it will be useful,
# but without any warranty; without even the implied warranty of
# merchantability or fitness for a particular purpose. See the GNU
# General Public License, version 3, for more details.
#
# A copy of the GNU General Public License, version 3, is available
# at http://www.r-project.org/Licenses/GPL-3
#
# Part of the R/qtl package
# Contains: read.cross.karl
# [See read.cross.R for the main read.cross function.]
#
######################################################################
######################################################################
#
# read.cross.karl
#
# read data in Karl's format
#
######################################################################
read.cross.karl <-
function(dir,genfile,mapfile,phefile)
{
# create file names
if(missing(genfile)) genfile <- "gen.txt"
if(missing(mapfile)) mapfile <- "map.txt"
if(missing(phefile)) phefile <- "phe.txt"
if(!missing(dir) && dir != "") {
genfile <- file.path(dir, genfile)
mapfile <- file.path(dir, mapfile)
phefile <- file.path(dir, phefile)
}
# read data
geno <- as.matrix(read.table(genfile,na.strings="0"))
pheno <- as.matrix(read.table(phefile,na.strings="-",header=TRUE))
tempmap <- scan(mapfile, what=character(),quiet=TRUE)
# fix up map information
# number of chromosomes
n.chr <- as.numeric(tempmap[1])
n.mar <- 1:n.chr
g <- map <- geno.data <- vector("list", n.chr)
cur <- 2
min.mar <- 1
names(g) <- as.character(1:n.chr)
for(i in 1:n.chr) { # loop over chromosomes
# number of markers
n.mar[i] <- as.numeric(tempmap[cur])
cur <- cur+1
# pull out appropriate portion of genotype data
geno.data[[i]] <- geno[,min.mar:(min.mar+n.mar[i]-1)]
min.mar <- min.mar + n.mar[i]
# recombination fractions
r <- as.numeric(tempmap[cur:(cur+n.mar[i]-2)])
# convert to cM distances (w/ Kosambi map function)
d <- 0.25*log((1+2*r)/(1-2*r))*100
# convert to locations
map[[i]] <- round(c(0,cumsum(d)),2)
cur <- cur+n.mar[i]-1
# marker names
names(map[[i]]) <- tempmap[cur:(cur+n.mar[i]-1)]
dimnames(geno.data[[i]]) <- list(NULL, names(map[[i]]))
cur <- cur+n.mar[i]
g[[i]] <- list(data=geno.data[[i]],map=map[[i]])
# attempt to pull out chromosome number
mar.names <- names(map[[i]])
twodig <- grep("[Dd][1-9][0-9][Mm]", mar.names)
onedig <- grep("[Dd][1-9][Mm]", mar.names)
xchr <- grep("[Dd][Xx][Mm]", mar.names)
chr.num <- NULL
if(length(twodig) > 0)
chr.num <- c(chr.num,substr(mar.names[twodig],2,3))
if(length(onedig) > 0)
chr.num <- c(chr.num,substr(mar.names[onedig],2,2))
if(length(xchr) > 0)
chr.num <- c(chr.num,rep("X",length(xchr)))
# no marker names of the form above
if(is.null(chr.num)) {
chr.num <- length(mar.names)
names(chr.num) <- "1"
}
else {
chr.num <- table(chr.num)
}
m <- max(chr.num)
if(m > sum(chr.num)/2 && m > 1)
names(g)[i] <- names(chr.num)[chr.num==m][1]
if(names(g)[i] == "X" || names(g)[i] == "x") class(g[[i]]) <- "X"
else class(g[[i]]) <- "A"
}
# check that data dimensions match
n.mar1 <- sapply(g,function(a) ncol(a$data))
n.mar2 <- sapply(g,function(a) length(a$map))
n.phe <- ncol(pheno)
n.ind1 <- nrow(pheno)
n.ind2 <- sapply(g,function(a) nrow(a$data))
if(any(n.ind1 != n.ind2)) {
print(c(n.ind1,n.ind2))
stop("Number of individuals in genotypes and phenotypes do not match.");
}
if(any(n.mar1 != n.mar2)) {
print(c(n.mar,n.mar2))
stop("Numbers of markers in genotypes and marker names files do not match.");
}
# print some information about the amount of data read
cat(" --Read the following data:\n");
cat("\t", n.ind1, " individuals\n");
cat("\t", sum(n.mar1), " markers\n");
cat("\t", n.phe, " phenotypes\n");
# add phenotype names, if missing
if(is.null(colnames(pheno)))
dimnames(pheno) <- list(NULL, paste("phenotype", 1:n.phe,sep=""))
# determine map type: f2 or bc or 4way?
if(max(geno[!is.na(geno)])<=2) type <- "bc"
else if(max(geno[!is.na(geno)])<=5) type <- "f2"
else type <- "4way"
cross <- list(geno=g,pheno=pheno)
class(cross) <- c(type,"cross")
# check that nothing is strange in the genotype data
if(type=="f2") max.gen <- 5
else if(type=="bc") max.gen <- 2
else max.gen <- 14
u <- unique(geno)
if(any(!is.na(u) & (u > max.gen | u < 1)))
stop("There are stange values in the genotype data : ",
paste(u,collapse=":"), ".")
cross$pheno <- as.data.frame(cross$pheno, stringsAsFactors=TRUE)
# return cross + indicator of whether to run est.map
list(cross,FALSE)
}
# end of read.cross.karl.R
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