strucplot(x, residuals = NULL, expected = NULL,
condvars = NULL, shade = NULL, type = c("observed", "expected"),
residuals_type = NULL, split_vertical = NULL,
spacing = spacing_equal, spacing_args = list(),
gp = NULL, gp_args = list(),
labeling = labeling_border, labeling_args = list(),
core = struc_mosaic, core_args = list(),
legend = NULL, legend_args = list(),
main = NULL, sub = NULL, margins = unit(3, "lines"),
title_margins = NULL, legend_width = NULL,
main_gp = gpar(fontsize = 20), sub_gp = gpar(fontsize = 15),
newpage = TRUE, pop = TRUE, keep_aspect_ratio = NULL, prefix = "", ...)dimnames attribute.x (see details).x, or alternatively the corresponding independence model specification
as used by loglin or gp should be used or not
(see gp). If TRUE and expected is unspecified,
a default model is fitted: if condvars is specified, a
corresponding conditionaresiduals is NULL, residuals_type must
be one of "pearson" (default; giving components of Pearsonx (values are recycled as needed).
A TRUE component indicates that the tile(s) of the
corresponding dimension should be split vertically, Fspacings)."gpar", shading function or a
corresponding generating function (see details and
shadings). Components of "gpar"
objects are recycled as needed along tlabelings. If
FALSE or NULL, no labeling is produced.struc_mosaic), association plots
(legends), or a logical.
If legend is NULL or TRUE and gp is a
functmain is a logical and TRUE, the
name of the object supplied as x is used.sub is a logical and TRUE and main is unspecified, the
name of the object supplied as x is used."unit" of length 4, or
a numeric vector of length 4. The elements are recycled as needed.
The four components specify the top, right,
bottom, and left margin of the plot, respectively.
When a numeric "unit" of length 2, or
a numeric vector of length 2. The elements are recycled as needed.
The two components specify the top and bottom title margin
of the plot, respectively. The default for eac"unit" of length
1 specifying the width of the legend (if any). Default: 5 lines."gpar" containing the graphical
parameters used for the main (sub) title, if specified.TRUE for
two-dimensional tables and FALSE otherwise."structable" corresponding to the
plot.assoc and mosaic---generates conditioning
plots of contingency tables. First, it sets up a set of viewports for
main- and subtitles, legend, and the actual plot region. Then,
residuals are computed as needed from observed and expected
frequencies, where the expected frequencies are optionally computed
for a specified independence model. Finally, the specified functions
for spacing, gp, main plot, legend, and labeling are called to produce
the plot. The function invisibly returns the "structable" object
visualized. Most elements of the plot, such as the core function, the spacing
between the tiles, the shading of the tiles, the labeling, and the
legend, are modularized in graphical appearance control (``grapcon'')
functions and specified as parameters. For
each element foo (= spacing, labeling, core,
or legend), strucplot takes two arguments:
foo and foo_args, which can be used to specify the
parameters in the following alternative ways:
strucplotto compute shadings, labelings,
etc."grapcon_generator"and"foo". If type = "expected", the expected values are passed to the
observed argument of the core function, and the observed
values to the expected argument.
Although the gp argument is typically used for shading, it can
be used for arbitrary modifications of the tiles' graphics parameters
(e.g., for highlighting particular cells, etc.).
vignette("strucplot").assoc,
mosaic,
sieve,
struc_assoc,
struc_sieve,
struc_mosaic,
structable,
doubledecker,
labelings,
shadings,
legends,
spacingsdata("Titanic")
strucplot(Titanic)
strucplot(Titanic, core = struc_assoc)
strucplot(Titanic, spacing = spacing_increase,
spacing_args = list(start = 0.5, rate = 1.5))
strucplot(Titanic, spacing = spacing_increase(start = 0.5, rate = 1.5))
## modify a tile's color
strucplot(Titanic, pop = FALSE)
grid.edit("rect:Class=1st,Sex=Male,Age=Adult,Survived=Yes",
gp = gpar(fill = "red"))Run the code above in your browser using DataLab