phydataplot {ape} | R Documentation

## Tree Annotation

### Description

`phydataplot` plots data on a tree in a way that adapts to the type of tree. `ring` does the same for circular trees.

Both functions match the data with the labels of the tree.

### Usage

    phydataplot(x, phy, style = "bars", offset = 1, scaling = 1,
                continuous = FALSE, width = NULL, legend = "below",
                funcol = rainbow, ...)
    ring(x, phy, style = "ring", offset = 1, ...)

### Arguments

`x` | a vector, a factor, a matrix, or a data frame.
`phy` | the tree (which must be already plotted).
`style` | a character string specifying the type of graphics; can be abbreviated (see details).
`offset` | the space between the tips of the tree and the plot.
`scaling` | the scaling factor to apply to the data.
`continuous` | (used if style="mosaic") a logical specifying whether to treat the values in `x` as continuous or not; can be an integer value giving the number of categories.
`width` | (used if style = "mosaic") the width of the cells; by default, all the available space is used.
`legend` | (used if style = "mosaic") the place where to draw the legend; if not the default, the legend is drawn besides the mosaic.
`funcol` | (used if style = "mosaic") the function used to generate the colours (see details and examples).
`...` | further arguments passed to the graphical functions.

### Details

The possible values for `style` are “bars”, “segments”, “image”, “arrows”, “boxplot”, “dotchart”, or “mosaic” for `phydataplot`, and “ring”, “segments”, or “arrows” for `ring`.

`style = "image"` works only with square matrices (e.g., similarities). If you want to plot a DNA alignment in the same way than `image.DNAbin`, try `style = "mosaic"`.

`style = "mosaic"` can plot any kind of matrices, possibly after discretizing its values (using `continuous`). The default colour palette is taken from the function `rainbow`. If you want to use specified colours, a function simply returning the vector of colours must be used (see examples).

### Note

For the moment, only rightwards trees are supported (does not apply to circular trees).

### Author(s)

Emmanuel Paradis

### See Also

`plot.phylo`, `nodelabels`, `fancyarrows`

### Examples

    ## demonstrates matching with names:
    tr <- rcoal(n <- 10)
    x <- 1:n
    names(x) <- tr$tip.label
    plot(tr, x.lim = 11)
    phydataplot(x, tr)
    ## shuffle x but matching names with tip labels reorders them:
    phydataplot(sample(x), tr, "s", lwd = 3, lty = 3)

    ## adapts to the tree:
    plot(tr, "f", x.l = c(-11, 11), y.l = c(-11, 11))
    phydataplot(x, tr, "s")

    ## leave more space with x.lim to show a barplot and a dotchart:
    plot(tr, x.lim = 22)
    phydataplot(x, tr, col = "yellow")
    phydataplot(x, tr, "d", offset = 13)

    ts <- rcoal(N <- 100)
    X <- rTraitCont(ts) # names are set
    dd <- dist(X)
    op <- par(mar = rep(0, 4))
    plot(ts, x.lim = 10, cex = 0.4, font = 1)
    phydataplot(as.matrix(dd), ts, "i", offset = 0.2)

    par(xpd = TRUE, mar = op$mar)
    co <- c("blue", "red"); l <- c(-2, 2)
    X <- X + abs(min(X)) # move scale so X >= 0
    plot(ts, "f", show.tip.label = FALSE, x.lim = l, y.lim = l, open.angle = 30)
    phydataplot(X, ts, "s", col = co, offset = 0.05)
    ring(X, ts, "ring", col = co, offset = max(X) + 0.1) # the same info as a ring

    ## as many rings as you want...
    co <- c("blue", "yellow")
    plot(ts, "r", show.tip.label = FALSE, x.l = c(-1, 1), y.l = c(-1, 1))
    for (o in seq(0, 0.4, 0.2)) {
        co <- rev(co)
        ring(0.2, ts, "r", col = rep(co, each = 5), offset = o)
    }

    lim <- c(-5, 5)
    co <- rgb(0, 0.4, 1, alpha = 0.1)
    y <- seq(0.01, 1, 0.01)
    plot(ts, "f", x.lim = lim, y.lim = lim, show.tip.label = FALSE)
    ring(y, ts, offset = 0, col = co, lwd = 0.1)
    for (i in 1:3) {
        y <- y + 1
        ring(y, ts, offset = 0, col = co, lwd = 0.1)
    }

    ## rings can be in the background
    plot(ts, "r", plot = FALSE)
    ring(1, ts, "r", col = rainbow(100), offset = -1)
    par(new = TRUE)
    plot(ts, "r", font = 1, edge.color = "white")

    ## might be more useful:
    co <- c("lightblue", "yellow")
    plot(ts, "r", plot = FALSE)
    ring(0.1, ts, "r", col = sample(co, size = N, rep = TRUE), offset = -.1)
    par(new = TRUE)
    plot(ts, "r", font = 1)

    ## if x is matrix:
    tx <- rcoal(m <- 20)
    X <- runif(m, 0, 0.5); Y <- runif(m, 0, 0.5)
    X <- cbind(X, Y, 1 - X - Y)
    rownames(X) <- tx$tip.label
    plot(tx, x.lim = 6)
    co <- rgb(diag(3))
    phydataplot(X, tx, col = co)
    ## a variation:
    plot(tx, show.tip.label = FALSE, x.lim = 5)
    phydataplot(X, tx, col = co, offset = 0.05, border = NA)

    plot(tx, "f", show.tip.label = FALSE, open.angle = 180)
    ring(X, tx, col = co, offset = 0.05)

    Z <- matrix(rnorm(m * 5), m)
    rownames(Z) <- rownames(X)
    plot(tx, x.lim = 5)
    phydataplot(Z, tx, "bo", scaling = .5, offset = 0.5,
                boxfill = c("gold", "skyblue"))

    ## plot an alignment with a NJ tree:
    data(woodmouse)
    trw <- nj(dist.dna(woodmouse))
    plot(trw, x.lim = 0.1, align.tip = TRUE, font = 1)
    phydataplot(woodmouse[, 1:50], trw, "m", 0.02, border = NA)

    ## use type = "mosaic" on a 30x5 matrix:
    tr <- rtree(n <- 30)
    p <- 5
    x <- matrix(sample(3, size = n*p, replace = TRUE), n, p)
    dimnames(x) <- list(paste0("t", 1:n), LETTERS[1:p])
    plot(tr, x.lim = 35, align.tip = TRUE, adj = 1)
    phydataplot(x, tr, "m", 2)
    ## change the aspect:
    plot(tr, x.lim = 35, align.tip = TRUE, adj = 1)
    phydataplot(x, tr, "m", 2, width = 2, border = "white", lwd = 3, legend = "side")
    ## user-defined colour:
    f <- function(n) c("yellow", "blue", "red")
    phydataplot(x, tr, "m", 18, width = 2, border = "white", lwd = 3,
                legend = "side", funcol = f)

    ## use continuous = TRUE with two different scales:
    x[] <- 1:(n*p)
    plot(tr, x.lim = 35, align.tip = TRUE, adj = 1)
    phydataplot(x, tr, "m", 2, width = 1.5, continuous = TRUE, legend = "side",
                funcol = colorRampPalette(c("white", "darkgreen")))
    phydataplot(x, tr, "m", 18, width = 1.5, continuous = 5, legend = "side",
                funcol = topo.colors)

[Package ape version 4.1 Index]