## DNA.R (2010-10-19)
## Manipulations and Comparisons of DNA Sequences
## Copyright 2002-2010 Emmanuel Paradis
## This file is part of the R-package `ape'.
## See the file ../COPYING for licensing issues.
labels.DNAbin <- function(object, ...)
{
if (is.list(object)) return(names(object))
if (is.matrix(object)) return(rownames(object))
NULL
}
del.gaps <- function(x)
{
deleteGaps <- function(x) {
i <- which(x == 4)
if (length(i)) x[-i] else x
}
if (!inherits(x, "DNAbin")) x <- as.DNAbin(x)
if (is.matrix(x)) {
n <- dim(x)[1]
y <- vector("list", n)
for (i in 1:n) y[[i]] <- x[i, ]
names(y) <- rownames(x)
x <- y
rm(y)
}
if (!is.list(x)) return(deleteGaps(x))
x <- lapply(x, deleteGaps)
class(x) <- "DNAbin"
x
}
as.alignment <- function(x)
{
if (is.list(x)) n <- length(x)
if (is.matrix(x)) n <- dim(x)[1]
seq <- character(n)
if (is.list(x)) {
nam <- names(x)
for (i in 1:n)
seq[i] <- paste(x[[i]], collapse = "")
}
if (is.matrix(x)) {
nam <- dimnames(x)[[1]]
for (i in 1:n)
seq[i] <- paste(x[i, ], collapse = "")
}
obj <- list(nb = n, seq = seq, nam = nam, com = NA)
class(obj) <- "alignment"
obj
}
"[.DNAbin" <- function(x, i, j, drop = FALSE)
{
oc <- oldClass(x)
class(x) <- NULL
if (is.matrix(x)) {
if (nargs() == 2 && !missing(i)) ans <- x[i]
else {
nd <- dim(x)
if (missing(i)) i <- 1:nd[1]
if (missing(j)) j <- 1:nd[2]
ans <- x[i, j, drop = drop]
}
} else {
if (missing(i)) i <- 1:length(x)
ans <- x[i]
}
class(ans) <- oc
ans
}
as.matrix.DNAbin <- function(x, ...)
{
if (is.list(x)) {
if (length(unique(unlist(lapply(x, length)))) != 1)
stop("DNA sequences in list not of the same length.")
nms <- names(x)
n <- length(x)
s <- length(x[[1]])
x <- matrix(unlist(x), n, s, byrow = TRUE)
rownames(x) <- nms
class(x) <- "DNAbin"
}
x
}
as.list.DNAbin <- function(x, ...)
{
if (is.list(x)) return(x)
if (is.null(dim(x))) obj <- list(x) # cause is.vector() doesn't work
else { # matrix
n <- nrow(x)
obj <- vector("list", n)
for (i in 1:n) obj[[i]] <- x[i, ]
names(obj) <- rownames(x)
}
class(obj) <- "DNAbin"
obj
}
rbind.DNAbin <- function(...)
### works only with matrices for the moment
{
obj <- list(...)
n <- length(obj)
if (n == 1) return(obj[[1]])
for (i in 1:n)
if (!is.matrix(obj[[1]]))
stop("the 'rbind' method for \"DNAbin\" accepts only matrices")
NC <- unlist(lapply(obj, ncol))
if (length(unique(NC)) > 1)
stop("matrices do not have the same number of columns.")
for (i in 1:n) class(obj[[i]]) <- NULL
for (i in 2:n) obj[[1]] <- rbind(obj[[1]], obj[[i]])
structure(obj[[1]], class = "DNAbin")
}
cbind.DNAbin <-
function(..., check.names = TRUE, fill.with.gaps = FALSE,
quiet = FALSE)
### works only with matrices for the moment
{
obj <- list(...)
n <- length(obj)
if (n == 1) return(obj[[1]])
for (i in 1:n)
if (!is.matrix(obj[[1]]))
stop("the 'cbind' method for \"DNAbin\" accepts only matrices")
NR <- unlist(lapply(obj, nrow))
for (i in 1:n) class(obj[[i]]) <- NULL
if (check.names) {
nms <- unlist(lapply(obj, rownames))
if (fill.with.gaps) {
NC <- unlist(lapply(obj, ncol))
nms <- unique(nms)
ans <- matrix(as.raw(4), length(nms), sum(NC))
rownames(ans) <- nms
from <- 1
for (i in 1:n) {
to <- from + NC[i] - 1
tmp <- rownames(obj[[i]])
nmsi <- tmp[tmp %in% nms]
ans[nmsi, from:to] <- obj[[i]][nmsi, , drop = FALSE]
from <- to + 1
}
} else {
tab <- table(nms)
ubi <- tab == n
nms <- names(tab)[which(ubi)]
ans <- obj[[1]][nms, , drop = FALSE]
for (i in 2:n)
ans <- cbind(ans, obj[[i]][nms, , drop = FALSE])
if (!quiet && !all(ubi))
warning("some rows were dropped.")
}
} else {
if (length(unique(NR)) > 1)
stop("matrices do not have the same number of rows.")
ans <- matrix(unlist(obj), NR)
rownames(ans) <- rownames(obj[[1]])
}
class(ans) <- "DNAbin"
ans
}
c.DNAbin <- function(..., recursive = FALSE)
{
if (!all(unlist(lapply(list(...), is.list))))
stop("the 'c' method for \"DNAbin\" accepts only lists")
structure(NextMethod("c"), class = "DNAbin")
}
print.DNAbin <- function(x, printlen = 6, digits = 3, ...)
{
if (is.list(x)) {
n <- length(x)
nms <- names(x)
if (n == 1) {
cat("1 DNA sequence in binary format stored in a list.\n\n")
cat("Sequence length:", length(x[[1]]), "\n\n")
cat("Label:", nms, "\n\n")
} else {
cat(n, "DNA sequences in binary format stored in a list.\n\n")
tmp <- unlist(lapply(x, length))
mini <- min(tmp)
maxi <- max(tmp)
if (mini == maxi)
cat("All sequences of same length:", maxi, "\n")
else {
cat("Mean sequence length:", round(mean(tmp), 3), "\n")
cat(" Shortest sequence:", mini, "\n")
cat(" Longest sequence:", maxi, "\n")
}
TAIL <- "\n\n"
if (printlen < n) {
nms <- nms[1:printlen]
TAIL <- "...\n\n"
}
cat("\nLabels:", paste(nms, collapse = " "), TAIL)
}
} else if (is.matrix(x)) {
nd <- dim(x)
nms <- rownames(x)
cat(nd[1], "DNA sequences in binary format stored in a matrix.\n\n")
cat("All sequences of same length:", nd[2], "\n")
TAIL <- "\n\n"
if (printlen < nd[1]) {
nms <- nms[1:printlen]
TAIL <- "...\n\n"
}
cat("\nLabels:", paste(nms, collapse = " "), TAIL)
} else {
cat("1 DNA sequence in binary format stored in a vector.\n\n")
cat("Sequence length:", length(x), "\n\n")
}
cat("Base composition:\n")
print(round(base.freq(x), digits))
}
as.DNAbin <- function(x, ...) UseMethod("as.DNAbin")
._cs_<- letters[c(1, 7, 3, 20, 18, 13, 23, 19, 11, 25, 22, 8, 4, 2, 14)]
._bs_<- c(136, 72, 40, 24, 192, 160, 144, 96, 80, 48, 224, 176, 208, 112, 240)
as.DNAbin.character <- function(x, ...)
{
n <- length(x)
ans <- raw(n)
for (i in 1:15)
ans[which(x == ._cs_[i])] <- as.raw(._bs_[i])
ans[which(x == "-")] <- as.raw(4)
ans[which(x == "?")] <- as.raw(2)
if (is.matrix(x)) {
dim(ans) <- dim(x)
dimnames(ans) <- dimnames(x)
}
class(ans) <- "DNAbin"
ans
}
as.DNAbin.alignment <- function(x, ...)
{
n <- x$nb
x$seq <- tolower(x$seq)
ans <- matrix("", n, nchar(x$seq[1]))
for (i in 1:n)
ans[i, ] <- strsplit(x$seq[i], "")[[1]]
rownames(ans) <- gsub(" +$", "", gsub("^ +", "", x$nam))
as.DNAbin.character(ans)
}
as.DNAbin.list <- function(x, ...)
{
obj <- lapply(x, as.DNAbin)
class(obj) <- "DNAbin"
obj
}
as.character.DNAbin <- function(x, ...)
{
f <- function(xx) {
ans <- character(length(xx))
for (i in 1:15)
ans[which(xx == ._bs_[i])] <- ._cs_[i]
ans[which(xx == 4)] <- "-"
ans[which(xx == 2)] <- "?"
if (is.matrix(xx)) {
dim(ans) <- dim(xx)
dimnames(ans) <- dimnames(xx)
}
ans
}
if (is.list(x)) lapply(x, f) else f(x)
}
base.freq <- function(x, freq = FALSE)
{
if (is.list(x)) x <- unlist(x)
n <- length(x)
BF <- .C("BaseProportion", x, n, double(4), freq,
DUP = FALSE, NAOK = TRUE, PACKAGE = "ape")[[3]]
names(BF) <- letters[c(1, 3, 7, 20)]
BF
}
Ftab <- function(x, y = NULL)
{
if (is.null(y)) {
if (is.list(x)) {
y <- x[[2]]
x <- x[[1]]
if (length(x) != length(y))
stop("'x' and 'y' not of same lenght")
} else { # 'x' is a matrix
y <- x[2, , drop = TRUE]
x <- x[1, , drop = TRUE]
}
} else {
x <- as.vector(x)
y <- as.vector(y)
if (length(x) != length(y))
stop("'x' and 'y' not of same lenght")
}
out <- matrix(0, 4, 4)
k <- c(136, 40, 72, 24)
for (i in 1:4) {
a <- x == k[i]
for (j in 1:4) {
b <- y == k[j]
out[i, j] <- sum(a & b)
}
}
dimnames(out)[1:2] <- list(c("a", "c", "g", "t"))
out
}
GC.content <- function(x) sum(base.freq(x)[2:3])
seg.sites <- function(x)
{
if (is.list(x)) x <- as.matrix(x)
if (is.vector(x)) n <- 1
else { # 'x' is a matrix
n <- dim(x)
s <- n[2]
n <- n[1]
}
if (n == 1) return(integer(0))
ans <- .C("SegSites", x, n, s, integer(s),
DUP = FALSE, NAOK = TRUE, PACKAGE = "ape")
which(as.logical(ans[[4]]))
}
dist.dna <- function(x, model = "K80", variance = FALSE, gamma = FALSE,
pairwise.deletion = FALSE, base.freq = NULL,
as.matrix = FALSE)
{
MODELS <- c("RAW", "JC69", "K80", "F81", "K81", "F84", "T92", "TN93",
"GG95", "LOGDET", "BH87", "PARALIN", "N", "TS", "TV")
imod <- pmatch(toupper(model), MODELS)
if (is.na(imod))
stop(paste("'model' must be one of:",
paste("\"", MODELS, "\"", sep = "", collapse = " ")))
if (imod == 11 && variance) {
warning("computing variance temporarily not available for model BH87.")
variance <- FALSE
}
if (gamma && imod %in% c(1, 5:7, 9:15)) {
warning(paste("gamma-correction not available for model", model))
gamma <- FALSE
}
if (is.list(x)) x <- as.matrix(x)
nms <- dimnames(x)[[1]]
n <- dim(x)
s <- n[2]
n <- n[1]
if (imod %in% c(4, 6:8)) {
BF <- if (is.null(base.freq)) base.freq(x) else base.freq
} else BF <- 0
if (!pairwise.deletion) {
keep <- .C("GlobalDeletionDNA", x, n, s,
rep(1L, s), PACKAGE = "ape")[[4]]
x <- x[, as.logical(keep)]
s <- dim(x)[2]
}
Ndist <- if (imod == 11) n*n else n*(n - 1)/2
var <- if (variance) double(Ndist) else 0
if (!gamma) gamma <- alpha <- 0
else alpha <- gamma <- 1
d <- .C("dist_dna", x, n, s, imod, double(Ndist), BF,
as.integer(pairwise.deletion), as.integer(variance),
var, as.integer(gamma), alpha, DUP = FALSE, NAOK = TRUE,
PACKAGE = "ape")
if (variance) var <- d[[9]]
d <- d[[5]]
if (imod == 11) {
dim(d) <- c(n, n)
dimnames(d) <- list(nms, nms)
} else {
attr(d, "Size") <- n
attr(d, "Labels") <- nms
attr(d, "Diag") <- attr(d, "Upper") <- FALSE
attr(d, "call") <- match.call()
attr(d, "method") <- model
class(d) <- "dist"
if (as.matrix) d <- as.matrix(d)
}
if (variance) attr(d, "variance") <- var
d
}
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