Learn R Programming

vcd (version 1.4-9)

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 = "\n",
  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, …)

Arguments

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.

Value

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

Details

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.

References

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. Available as vignette("strucplot", package = "vcd"). 10.18637/jss.v017.i03.

See Also

labeling_border, structable, grid.text

Examples

Run this code
# NOT RUN {
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)
# }

Run the code above in your browser using DataLab