vcd: struc_sieve – R documentation

Pricing

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

Get Started for Free

Documentation

vcd

struc_sieve

Core-generating Function for Sieve Plots

Description

Core-generating function for strucplot returning a function producing sieve plots.

Usage

struc_sieve(sievetype = c("observed","expected"), gp_tile = gpar(),
scale = 1)

Arguments

`sievetype`	logical indicating whether rectangles should be filled according to `observed` or `expected` frequencies.
`gp_tile`	object of class `"gpar"`, controlling the appearance of all static elements of the cells (e.g., border and fill color).
`scale`	Scaling factor for the sieve.

Details

This function is usually called by strucplot (typically when called by sieve) and returns a function used by strucplot to produce sieve plots.

Value

A function with arguments:

`residuals`	table of residuals.
`observed`	table of observed values.
`expected`	not used by `struc_sieve`.
`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.

Author(s)

David Meyer David.Meyer@R-project.org

References

Riedwyl, H., and Schüpbach, M. (1994), Parquet diagram to plot contingency tables. In F. Faulbaum (ed.), Softstat '93: Advances in Statistical Software, 293–299. Gustav Fischer, New York.

Friendly, M. (2000), Visualizing Categorical Data, SAS Institute, Cary, NC.

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").

Examples

## Titanic data
data("Titanic")
strucplot(Titanic, core = struc_sieve)

vcd

Visualizing Categorical Data

v1.4-10

GPL-2

Authors

David Meyer [aut, cre], Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>), Kurt Hornik [aut], Florian Gerber [ctb], Michael Friendly [ctb]

Initial release