spacings: Spacing-generating Functions

In vcd: Visualizing Categorical Data

Spacing-generating Functions

Description

These functions generate spacing functions to be used with strucplot to obtain customized spaces between the elements of a strucplot.

Usage

spacing_equal(sp = unit(0.3, "lines"))
spacing_dimequal(sp)
spacing_increase(start = unit(0.3, "lines"), rate = 1.5)
spacing_conditional(sp = unit(0.3, "lines"), start = unit(2, "lines"), rate = 1.8)
spacing_highlighting(start = unit(0.2, "lines"), rate = 1.5)

Arguments

start	object of class "unit" indicating the start value for increasing spacings.
rate	increase rate for spacings.
sp	object of class "unit" specifying a fixed spacing.

Details

These generating functions return a function used by strucplot to generate appropriate spaces between tiles of a strucplot, using the dimnames information of the visualized table.

spacing_equal allows to specify one fixed space for all dimensions.

spacing_dimequal allows to specify a fixed space for each dimension.

spacing_increase creates increasing spaces for all dimensions, based on a starting value and an increase rate.

spacing_conditional combines spacing_equal and spacing_increase to create fixed spaces for conditioned dimensions, and increasing spaces for conditioning dimensions.

spacing_highlighting is essentially spacing_conditional but with the space of the last dimension set to 0. With a corresponding color scheme, this gives the impression of the last class being ‘highlighted’ in the penultimate class (as, e.g., in doubledecker plots).

Value

A spacing function with arguments:

d	"dim" attribute of a contingency table.
condvars	index vector of conditioning dimensions (currently only used by spacing_conditional).

This function computes a list of objects of class "unit". Each list element contains the spacing information for the corresponding dimension of the table. The length of the "unit" objects is k-1, k number of levels of the corresponding factor.

Author(s)

David Meyer [e-mail]

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. doi: 10.18637/jss.v017.i03 and available as vignette("strucplot").

See Also

strucplot, doubledecker

Examples

data("Titanic")
strucplot(Titanic, spacing = spacing_increase(start = 0.5, rate = 1.5))
strucplot(Titanic, spacing = spacing_equal(1))
strucplot(Titanic, spacing = spacing_dimequal(1:4 / 4))
strucplot(Titanic, spacing = spacing_highlighting,
                   gp = gpar(fill = c("light gray","dark gray")))
data("PreSex")
strucplot(aperm(PreSex, c(1,4,2,3)), spacing = spacing_conditional,
          condvars = 2)  

vcd documentation built on Feb. 16, 2023, 5:38 p.m.