Learn R Programming

vcd (version 1.3-2)

labeling_cells_list: Labeling Functions for Strucplots

Description

These functions generate labeling functions that produce labels for strucplots.

Usage

labeling_cells(labels = TRUE, varnames = TRUE,
  abbreviate_labels = FALSE, abbreviate_varnames = FALSE,
  gp_text = gpar(), lsep = ": ", lcollapse = "",
  just = "center", pos = "center", rot = 0,
  margin = unit(0.5, "lines"), clip_cells = TRUE,
  text = NULL, ...)
labeling_list(gp_text = gpar(), just = "left", pos = "left", lsep = ": ",
  sep = " ", offset = unit(c(2, 2), "lines"),
  varnames = TRUE, cols = 2, ...)
labels{vector of logicals indicating, for each dimension,
    whether labels for the factor levels should be drawn or not.
    Values are recycled as needed.} 
  varnames{vector of logicals indicating, for each dimension,
    whether variable names should be drawn.
    Values are recycled as needed.}
  abbreviate_labels{vector of integers or logicals indicating,
    for each dimension, the number of characters the labels should be
    abbreviated to.
    TRUE means 1 character, FALSE causes no abbreviation.
    Values are recycled as needed.}
  abbreviate_varnames{vector of integers or logicals indicating,
    for each dimension, the number of characters the variable
    (i.e., dimension) names should be abbreviated to.
    TRUE means 1 character, FALSE causes no abbreviation.
    Values are recycled as needed.}
  gp_text{object of class "gpar" used for the text drawn.}
  lsep{character that separates variable names from the factor
    levels.}
  sep{character that separates the factor levels (only used for
    labeling_list).} 
  offset{object of class "unit" of length 2 specifying the
    offset in x- and y-direction of the text block drawn under the
    strucplot (only used for labeling_list).}
  cols{number of text columns (only used for
    labeling_list).}
  lcollapse{character that separates several variable name/factor
    level-combinations.  Typically a line break.
    (Only used for labeling_cells.)}
  just, pos{character string of length 1 (labeling_list)
    or at most 2 (labeling_cells) specifying the labels'
    horizontal position and justification (horizontal and vertical for
    labeling_cells).}
  rot{rotation angle in degrees, used for all labels (only used
    for labeling_cells).}
  margin{object of class "unit" (a numeric value is
    converted to "lines") specifying an offset from the cell
    borders (only used for labeling_cells).}
  clip_cells{logical indicating whether text should be clipped at
    the cell borders (only used for labeling_cells).}
  text{Optionally, a character table of the same dimensions than
    the contingency table whose entries will then be used instead of
    the labels.  NA entries are not drawn.
    This allows custom cell annotations (see examples).
    Only used for labeling_cells.}
  ...{Currently not used.}
These functions generate labeling functions that can add different kinds of labels to an existing plot. Typically they are supplied to strucplot which then generates and calls the labeling function. They assume that a strucplot has been drawn and the corresponding viewport structure is pushed, so that by navigating through the viewport tree the labels can be positioned appropriately. This help page only documents labeling_list and labeling_cells; more functions are described on the help page for labeling_border. The functions can also be used stand-alone as shown in the examples.

Using labeling_list will typically necessitate a bottom margin adjustment.

A function with arguments: d{"dimnames" attribute from the visualized contingency table, or the visualized table itself from which the "dimnames" attributes will then be extracted.} split_vertical{vector of logicals indicating the split directions.} condvars{integer vector of conditioning dimensions} [object Object] Meyer, D., Zeileis, A., and Hornik, K. (2006), The strucplot framework: Visualizing multi-way contingency tables with vcd. Journal of Statistical Software, 17(3), 1-48. URL http://www.jstatsoft.org/v17/i03/ and available as vignette("strucplot"). labeling_border, structable, grid.text data("Titanic")

mosaic(Titanic, labeling = labeling_cells) mosaic(Titanic, labeling = labeling_list)

## A more complex example, adding the observed frequencies ## to a mosaic plot: tab <- ifelse(Titanic < 6, NA, Titanic) mosaic(Titanic, pop = FALSE) labeling_cells(text = tab, margin = 0)(Titanic)

hplot

Arguments