X-Git-Url: https://git.donarmstrong.com/?a=blobdiff_plain;f=R%2FDNA.R;h=d1b3625f0da247fe8da35377d3762a81575add2b;hb=be6a044200152fd83d0b72f348012a0adc2593c5;hp=e71f14224450301526daec4b3621ad61451a5e96;hpb=bfaeca35ec130110327a3bb7a1f0fe3b66076a95;p=ape.git diff --git a/R/DNA.R b/R/DNA.R index e71f142..d1b3625 100644 --- a/R/DNA.R +++ b/R/DNA.R @@ -1,8 +1,8 @@ -## DNA.R (2011-02-18) +## DNA.R (2012-12-27) ## Manipulations and Comparisons of DNA Sequences -## Copyright 2002-2011 Emmanuel Paradis +## Copyright 2002-2012 Emmanuel Paradis ## This file is part of the R-package `ape'. ## See the file ../COPYING for licensing issues. @@ -58,21 +58,8 @@ as.alignment <- function(x) "[.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 <- NextMethod("[", drop = drop) + class(ans) <- "DNAbin" ans } @@ -184,13 +171,16 @@ print.DNAbin <- function(x, printlen = 6, digits = 3, ...) 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") + nTot <- length(x[[1]]) + cat("Sequence length:", nTot, "\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) + nTot <- sum(tmp) + mini <- range(tmp) + maxi <- mini[2] + mini <- mini[1] if (mini == maxi) cat("All sequences of same length:", maxi, "\n") else { @@ -205,30 +195,37 @@ print.DNAbin <- function(x, printlen = 6, digits = 3, ...) } 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") + nTot <- length(x) + 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:", nTot, "\n\n") + } } - cat("Base composition:\n") - print(round(base.freq(x), digits)) + if (nTot <= 1e6) { + cat("Base composition:\n") + print(round(base.freq(x), digits)) + } else cat("More than 1 million nucleotides: not printing base composition\n") } 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)] +._cs_ <- c("a", "g", "c", "t", "r", "m", "w", "s", "k", + "y", "v", "h", "d", "b", "n", "-", "?") -._bs_<- c(136, 72, 40, 24, 192, 160, 144, 96, 80, 48, 224, 176, 208, 112, 240) +._bs_ <- c(136, 72, 40, 24, 192, 160, 144, 96, 80, + 48, 224, 176, 208, 112, 240, 4, 2) as.DNAbin.character <- function(x, ...) { @@ -283,10 +280,19 @@ as.character.DNAbin <- function(x, ...) base.freq <- function(x, freq = FALSE, all = FALSE) { - if (is.list(x)) x <- unlist(x) - n <- length(x) - BF <-.C("BaseProportion", x, n, double(17), - DUP = FALSE, NAOK = TRUE, PACKAGE = "ape")[[3]] + f <- function(x) + .C("BaseProportion", x, as.integer(length(x)), double(17), + DUP = FALSE, NAOK = TRUE, PACKAGE = "ape")[[3]] + + if (is.list(x)) { + BF <- rowSums(sapply(x, f)) + n <- sum(sapply(x, length)) + } else { + n <- length(x) + BF <-.C("BaseProportion", x, as.integer(n), double(17), + DUP = FALSE, NAOK = TRUE, PACKAGE = "ape")[[3]] + } + names(BF) <- c("a", "c", "g", "t", "r", "m", "w", "s", "k", "y", "v", "h", "d", "b", "n", "-", "?") if (all) { @@ -341,8 +347,8 @@ seg.sites <- function(x) n <- n[1] } if (n == 1) return(integer(0)) - ans <- .C("SegSites", x, n, s, integer(s), - DUP = FALSE, NAOK = TRUE, PACKAGE = "ape") + ans <- .C("SegSites", x, as.integer(n), as.integer(s), + integer(s), DUP = FALSE, NAOK = TRUE, PACKAGE = "ape") which(as.logical(ans[[4]])) } @@ -351,16 +357,17 @@ dist.dna <- function(x, model = "K80", variance = FALSE, gamma = FALSE, as.matrix = FALSE) { MODELS <- c("RAW", "JC69", "K80", "F81", "K81", "F84", "T92", "TN93", - "GG95", "LOGDET", "BH87", "PARALIN", "N", "TS", "TV") + "GG95", "LOGDET", "BH87", "PARALIN", "N", "TS", "TV", + "INDEL", "INDELBLOCK") 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.") + warning("computing variance not available for model BH87") variance <- FALSE } - if (gamma && imod %in% c(1, 5:7, 9:15)) { + if (gamma && imod %in% c(1, 5:7, 9:17)) { warning(paste("gamma-correction not available for model", model)) gamma <- FALSE } @@ -369,23 +376,27 @@ dist.dna <- function(x, model = "K80", variance = FALSE, gamma = FALSE, 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 (imod %in% 16:17) pairwise.deletion <- TRUE + if (!pairwise.deletion) { keep <- .C("GlobalDeletionDNA", x, n, s, rep(1L, s), PACKAGE = "ape")[[4]] - x <- x[, as.logical(keep)] + 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") + d <- .C("dist_dna", x, as.integer(n), as.integer(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) { @@ -403,3 +414,82 @@ dist.dna <- function(x, model = "K80", variance = FALSE, gamma = FALSE, if (variance) attr(d, "variance") <- var d } + +image.DNAbin <- function(x, what, col, bg = "white", xlab = "", ylab = "", + show.labels = TRUE, cex.lab = 1, legend = TRUE, ...) +{ + what <- + if (missing(what)) c("a", "g", "c", "t", "n", "-") else tolower(what) + if (missing(col)) + col <- c("red", "yellow", "green", "blue", "grey", "black") + n <- (dx <- dim(x))[1] # number of sequences + s <- dx[2] # number of sites + y <- integer(N <- length(x)) + ncl <- length(what) + col <- rep(col, length.out = ncl) + brks <- 0.5:(ncl + 0.5) + sm <- 0L + for (i in ncl:1) { + k <- ._bs_[._cs_ == what[i]] + sel <- which(x == k) + if (L <- length(sel)) { + y[sel] <- i + sm <- sm + L + } else { + what <- what[-i] + col <- col[-i] + brks <- brks[-i] + } + } + dim(y) <- dx + ## if there's no 0 in y, must drop 'bg' from the cols passed to image: + if (sm == N) { + leg.co <- co <- col + leg.txt <- toupper(what) + } else { + co <- c(bg, col) + leg.txt <- c(toupper(what), "others") + leg.co <- c(col, bg) + brks <- c(-0.5, brks) + } + yaxt <- if (show.labels) "n" else "s" + graphics::image.default(1:s, 1:n, t(y), col = co, xlab = xlab, + ylab = ylab, yaxt = yaxt, breaks = brks, ...) + if (show.labels) + mtext(rownames(x), side = 2, line = 0.1, at = 1:n, + cex = cex.lab, adj = 1, las = 1) + if (legend) { + psr <- par("usr") + xx <- psr[2]/2 + yy <- psr[4] * (0.5 + 0.5/par("plt")[4]) + legend(xx, yy, legend = leg.txt, pch = 22, pt.bg = leg.co, + pt.cex = 2, bty = "n", xjust = 0.5, yjust = 0.5, + horiz = TRUE, xpd = TRUE) + } +} + +where <- function(x, pattern) +{ + pat <- as.DNAbin(strsplit(pattern, NULL)[[1]]) + p <- as.integer(length(pat)) + + foo <- function(x, pat, p) { + s <- as.integer(length(x)) + if (s < p) stop("sequence shorter than the pattern") + ans <- .C("where", x, pat, s, p, integer(s), 0L, + DUP = FALSE, NAOK = TRUE, PACKAGE = "ape") + n <- ans[[6]] + if (n) ans[[5]][seq_len(n)] - p + 2L else integer() + } + + if (is.list(x)) return(lapply(x, foo, pat = pat, p = p)) + if (is.matrix(x)) { + n <- nrow(x) + res <- vector("list", n) + for (i in seq_along(n)) + res[[i]] <- foo(x[i, , drop = TRUE], pat, p) + names(res) <- rownames(x) + return(res) + } + foo(x, pat, p) # if x is a vector +}