Core-generating function for strucplot
returning a function
producing association plots.
struc_assoc(compress = TRUE, xlim = NULL, ylim = NULL,
yspace = unit(0.5, "lines"), xscale = 0.9, gp_axis = gpar(lty = 3))
A function with arguments:
table of residuals.
not used by struc_assoc
.
table of expected frequencies.
object of class "unit"
specifying the space
between the tiles.
list of gpar
objects used for the drawing the tiles.
vector of logicals indicating, for each dimension of the table, the split direction.
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”.
either a \(2 \times k\) 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).
either a \(2 \times k\) 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).
scale factor resizing the tile's width, thus adding additional space between the tiles.
object of class "unit"
specifying additional
space separating the rows.
object of class "gpar"
specifying the visual
aspects of the tiles' baseline.
David Meyer David.Meyer@R-project.org
This function is usually called by strucplot
(typically when
called by assoc
) and returns a function used by
strucplot
to produce association plots.
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.
tools:::Rd_expr_doi("10.18637/jss.v017.i03") and available as
vignette("strucplot")
.
assoc
,
strucplot
,
structable
## UCB Admissions
data("UCBAdmissions")
ucb <- aperm(UCBAdmissions)
## association plot for conditional independence
strucplot(ucb, expected = ~ Dept * (Admit + Gender),
core = struc_assoc(ylim = c(-4, 4)), labeling_args = list(abbreviate = c(Admit = 3)))
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