dendrogram {stats} | R Documentation

## General Tree Structures

### Description

Class `"dendrogram"` provides general functions for handling tree-like structures. It is intended as a replacement for similar functions in hierarchical clustering and classification/regression trees, such that all of these can use the same engine for plotting or cutting trees.

### Usage

    as.dendrogram(object, ...)
    ## S3 method for class 'hclust'
    as.dendrogram(object, hang = -1, check = TRUE, ...)

    ## S3 method for class 'dendrogram'
    as.hclust(x, ...)

    ## S3 method for class 'dendrogram'
    plot(x, type = c("rectangle", "triangle"),
          center = FALSE,
          edge.root = is.leaf(x) || !is.null(attr(x,"edgetext")),
          nodePar = NULL, edgePar = list(),
          leaflab = c("perpendicular", "textlike", "none"),
          dLeaf = NULL, xlab = "", ylab = "", xaxt = "n", yaxt = "s",
          horiz = FALSE, frame.plot = FALSE, xlim, ylim, ...)

    ## S3 method for class 'dendrogram'
    cut(x, h, ...)

    ## S3 method for class 'dendrogram'
    merge(x, y, ..., height,
          adjust = c("auto", "add.max", "none"))

    ## S3 method for class 'dendrogram'
    nobs(object, ...)

    ## S3 method for class 'dendrogram'
    print(x, digits, ...)

    ## S3 method for class 'dendrogram'
    rev(x)

    ## S3 method for class 'dendrogram'
    str(object, max.level = NA, digits.d = 3,
        give.attr = FALSE, wid = getOption("width"),
        nest.lev = 0, indent.str = "",
        last.str = getOption("str.dendrogram.last"), stem = "--",
        ...)

    is.leaf(object)

### Arguments

`object` | any R object that can be made into one of class `"dendrogram"`.
`x, y` | object(s) of class `"dendrogram"`.
`hang` | numeric scalar indicating how the height of leaves should be computed from the heights of their parents; see `plot.hclust`.
`check` | logical indicating if `object` should be checked for validity. This check is not necessary when `x` is known to be valid such as when it is the direct result of `hclust()`. The default is `check=TRUE`, e.g. for protecting against memory explosion with invalid inputs.
`type` | type of plot.
`center` | logical; if `TRUE`, nodes are plotted centered with respect to the leaves in the branch. Otherwise (default), plot them in the middle of all direct child nodes.
`edge.root` | logical; if true, draw an edge to the root node.

`nodePar`

a `list` of plotting parameters to use for the nodes (see `points`) or `NULL` by default which does not draw symbols at the nodes. The list may contain components named `pch`, `cex`, `col`, `xpd`, and/or `bg` each of which can have length two for specifying separate attributes for inner nodes and leaves. Note that the default of `pch` is `1:2`, so you may want to use `pch = NA` if you specify `nodePar`.

`edgePar` | a `list` of plotting parameters to use for the edge `segments` and labels (if there's an `edgetext`). The list may contain components named `col`, `lty` and `lwd` (for the segments), `p.col`, `p.lwd`, and `p.lty` (for the `polygon` around the text) and `t.col` for the text color. As with `nodePar`, each can have length two for differentiating leaves and inner nodes.
`leaflab` | a string specifying how leaves are labeled. The default `"perpendicular"` write text vertically (by default). `"textlike"` writes text horizontally (in a rectangle), and `"none"` suppresses leaf labels.
`dLeaf` | a number specifying the distance in user coordinates between the tip of a leaf and its label. If `NULL` as per default, 3/4 of a letter width or height is used.
`horiz` | logical indicating if the dendrogram should be drawn horizontally or not.
`frame.plot` | logical indicating if a box around the plot should be drawn, see `plot.default`.
`h` | height at which the tree is cut.
`height` | height at which the two dendrograms should be merged. If not specified (or `NULL`), the default is ten percent larger than the (larger of the) two component heights.
`adjust` | a string determining if the leaf values should be adjusted. The default, `"auto"`, checks if the (first) two dendrograms both start at `1`; if they do, code"add.max" is chosen, which adds the maximum of the previous dendrogram leaf values to each leaf of the “next” dendrogram. Specifying `adjust` to another value skips the check and hence is a tad more efficient.
`xlim, ylim` | optional x- and y-limits of the plot, passed to `plot.default`. The defaults for these show the full dendrogram.
`..., xlab, ylab, xaxt, yaxt` | graphical parameters, or arguments for other methods.
`digits` | integer specifying the precision for printing, see `print.default`.
`max.level, digits.d, give.attr, wid, nest.lev, indent.str` | arguments to `str`, see `str.default()`. Note that `give.attr = FALSE` still shows `height` and `members` attributes for each node.
`last.str, stem` | strings used for `str()` specifying how the last branch (at each level) should start and the stem to use for each dendrogram branch. In some environments, using `last.str = "'"` will provide much nicer looking output, than the historical default `last.str = "`"`.

### Details

The dendrogram is directly represented as a nested list where each component corresponds to a branch of the tree. Hence, the first branch of tree `z` is `z[[1]]`, the second branch of the corresponding subtree is `z[[1]][[2]]`, or shorter `z[[c(1,2)]]`, etc.. Each node of the tree carries some information needed for efficient plotting or cutting as attributes, of which only `members`, `height` and `leaf` for leaves are compulsory:

`members`

  total number of leaves in the branch

`height`

  numeric non-negative height at which the node is plotted.

`midpoint`

  numeric horizontal distance of the node from the left border (the leftmost leaf) of the branch (unit 1 between all leaves). This is used for `plot(*, center = FALSE)`.

`label`

  character; the label of the node

`x.member`

  for `cut()$upper`, the number of former members; more generally a substitute for the `members` component used for ‘horizontal’ (when `horiz = FALSE`, else ‘vertical’) alignment.

`edgetext`

  character; the label for the edge leading to the node

`nodePar`

  a named list (of length-1 components) specifying node-specific attributes for `points` plotting, see the `nodePar` argument above.

`edgePar`

  a named list (of length-1 components) specifying attributes for `segments` plotting of the edge leading to the node, and drawing of the `edgetext` if available, see the `edgePar` argument above.

`leaf`

  logical, if `TRUE`, the node is a leaf of the tree.

`cut.dendrogram()` returns a list with components `$upper` and `$lower`, the first is a truncated version of the original tree, also of class `dendrogram`, the latter a list with the branches obtained from cutting the tree, each a `dendrogram`.

There are `[[`, `print`, and `str` methods for `"dendrogram"` objects where the first one (extraction) ensures that selecting sub-branches keeps the class, i.e., returns a dendrogram even if only a leaf. On the other hand, `[` (single bracket) extraction returns the underlying list structure.

Objects of class `"hclust"` can be converted to class `"dendrogram"` using method `as.dendrogram()`, and since R 2.13.0, there is also a `as.hclust()` method as an inverse.

`rev.dendrogram` simply returns the dendrogram `x` with reversed nodes, see also `reorder.dendrogram`.

The `merge(x, y, ...)` method merges two or more dendrograms into a new one which has `x` and `y` (and optional further arguments) as branches. Note that before R 3.1.2, `adjust = "none"` was used implicitly, which is invalid when, e.g., the dendrograms are from `as.dendrogram(hclust(..))`.

`nobs(object)` returns the total number of leaves (the `members` attribute, see above).

`is.leaf(object)` returns logical indicating if `object` is a leaf (the most simple dendrogram).

`plotNode()` and `plotNodeLimit()` are helper functions.

### Warning

Some operations on dendrograms such as `merge()` make use of recursion. For very deep trees it may be necessary to increase `options("expressions")`: if you do you are likely to need to set the C stack size larger than the default where possible.

### Note

`plot()`:

  When using `type = "triangle"`, `center = TRUE` often looks better.

`str(d)`:

  If you really want to see the internal structure, use `str(unclass(d))` instead.

### See Also

`dendrapply` for applying a function to each node. `order.dendrogram` and `reorder.dendrogram`; further, the `labels` method.

### Examples

    require(graphics); require(utils)

    hc <- hclust(dist(USArrests), "ave")
    (dend1 <- as.dendrogram(hc)) # "print()" method
    str(dend1)          # "str()" method
    str(dend1, max = 2, last.str =  "'") # only the first two sub-levels
    oo <- options(str.dendrogram.last = "\\") # yet another possibility
    str(dend1, max = 2) # only the first two sub-levels
    options(oo)  # .. resetting them

    op <- par(mfrow =  c(2,2), mar = c(5,2,1,4))
    plot(dend1)
    ## "triangle" type and show inner nodes:
    plot(dend1, nodePar = list(pch = c(1,NA), cex = 0.8, lab.cex = 0.8),
          type = "t", center = TRUE)
    plot(dend1, edgePar = list(col = 1:2, lty = 2:3),
         dLeaf = 1, edge.root = TRUE)
    plot(dend1, nodePar = list(pch = 2:1, cex = .4*2:1, col = 2:3),
         horiz = TRUE)

    ## simple test for as.hclust() as the inverse of as.dendrogram():
    stopifnot(identical(as.hclust(dend1)[1:4], hc[1:4]))

    dend2 <- cut(dend1, h = 70)
    plot(dend2$upper)
    ## leaves are wrong horizontally:
    plot(dend2$upper, nodePar = list(pch = c(1,7), col = 2:1))
    ##  dend2$lower is *NOT* a dendrogram, but a list of .. :
    plot(dend2$lower[[3]], nodePar = list(col = 4), horiz = TRUE, type = "tr")
    ## "inner" and "leaf" edges in different type & color :
    plot(dend2$lower[[2]], nodePar = list(col = 1),   # non empty list
         edgePar = list(lty = 1:2, col = 2:1), edge.root = TRUE)
    par(op)
    d3 <- dend2$lower[[2]][[2]][[1]]
    stopifnot(identical(d3, dend2$lower[[2]][[c(2,1)]]))
    str(d3, last.str = "'")

    ## to peek at the inner structure "if you must", use '[..]' indexing :
    str(d3[2][[1]]) ## or the full
    str(d3[])

    ## merge() to join dendrograms:
    (d13 <- merge(dend2$lower[[1]], dend2$lower[[3]]))
    ## merge() all parts back (using default 'height' instead of original one):
    den.1 <- Reduce(merge, dend2$lower)
    ## or merge() all four parts at same height --> 4 branches (!)
    d. <- merge(dend2$lower[[1]], dend2$lower[[2]], dend2$lower[[3]],
                dend2$lower[[4]])
    ## (with a warning) or the same using  do.call :
    stopifnot(identical(d., do.call(merge, dend2$lower)))
    plot(d., main = "merge(d1, d2, d3, d4)  |->  dendrogram with a 4-split")

    ## "Zoom" in to the first dendrogram :
    plot(dend1, xlim = c(1,20), ylim = c(1,50))

    nP <- list(col = 3:2, cex = c(2.0, 0.75), pch =  21:22,
               bg =  c("light blue", "pink"),
               lab.cex = 0.75, lab.col = "tomato")
    plot(d3, nodePar= nP, edgePar = list(col = "gray", lwd = 2), horiz = TRUE)

    addE <- function(n) {
          if(!is.leaf(n)) {
            attr(n, "edgePar") <- list(p.col = "plum")
            attr(n, "edgetext") <- paste(attr(n,"members"),"members")
          }
          n
    }
    d3e <- dendrapply(d3, addE)
    plot(d3e, nodePar =  nP)
    plot(d3e, nodePar =  nP, leaflab = "textlike")

[Package stats version 3.3.0 Index]