logical; if FALSE, the space between the rows
(columns) are chosen such that the total heights (widths) of
the rows (column) are all equal. If TRUE, the space between
the rows and columns is fixed and hence the plot is more
“compressed”.
xlim
either a 2 x k matrix of doubles,
k the number of total columns of the plot, or a recycled
vector from which such a matrix will be constructed.
The columns of xlim correspond to the columns of the
association plot, the rows describe the column ranges (minimums in
the first row, maximums in the second row).
If xlim is NULL, the ranges are determined from the
residuals according to compress (if TRUE: widest range
from each column, if FALSE: from the whole association plot
matrix).
ylim
either a 2 x k matrix of doubles,
k the number of total rows of the plot, or a recycled vector
from which such a matrix will be constructed.
The columns of ylim correspond to the rows of the association
plot, the rows describe the column ranges (minimums in the first
row, maximums in the second row).
If ylim is NULL, the ranges are determined from the
residuals according to compress (if TRUE: widest range
from each row, if FALSE: from the whole association plot
matrix).
xscale
scale factor resizing the tile's width, thus adding
additional space between the tiles.
yspace
object of class "unit" specifying additional
space separating the rows.
gp_axis
object of class "gpar" specifying the visual
aspects of the tiles' baseline.
Details
This function is usually called by strucplot (typically when
called by assoc) and returns a function used by
strucplot to produce association plots.
Value
A function with arguments:
residuals
table of residuals.
observed
not used by struc_assoc.
expected
table of expected frequencies.
spacing
object of class "unit" specifying the space
between the tiles.
gp
list of gpar objects used for the drawing the tiles.
split_vertical
vector of logicals indicating, for each
dimension of the table, the split direction.
Cohen, A. (1980),
On the graphical display of the significant components in a two-way
contingency table.
Communications in Statistics—Theory and Methods, A9,
1025–1041.
Friendly, M. (1992),
Graphical methods for categorical data.
SAS User Group International Conference Proceedings, 17,
190–200.
http://datavis.ca/papers/sugi/sugi17.pdf
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").