| legends {vcd} | R Documentation |
Legend Functions for Strucplots
Description
These functions generate legend functions for residual-based shadings.
Usage
legend_resbased(fontsize = 12, fontfamily = "",
x = unit(1, "lines"), y = unit(0.1,"npc"),
height = unit(0.8, "npc"),
width = unit(0.7, "lines"),
digits = 2, pdigits = max(1, getOption("digits") - 2),
check_overlap = TRUE, text = NULL,
steps = 200, ticks = 10, pvalue = TRUE, range = NULL)
legend_fixed(fontsize = 12, fontfamily = "", x = unit(1, "lines"), y = NULL,
height = NULL, width = unit(1.5, "lines"), steps = 200,
digits = 1, space = 0.05, text = NULL, range = NULL)
Arguments
fontsize |
fontsize of title and p-value text. |
fontfamily |
fontfamily of all text. |
x, y |
objects of class |
height, width |
object of class |
digits |
number of digits for the scale labels. |
pdigits |
number of digits for the p-value. |
check_overlap |
logical indicating whether overlap of scale labels should be inhibited or not. |
space |
For |
text |
character string indicating the title of the legend. |
steps |
granularity of the color gradient. |
ticks |
number of scale ticks. |
pvalue |
logical indicating whether the |
range |
Numeric vector of length 2 for setting the legend
range. Computed from the residuals if omitted. |
Details
These functions generate legend functions for residual-based shadings,
visualizing deviations from expected values of an hypothesized
independence model. Therefore, the legend uses a supplied shading
function to visualize the color gradient for the residuals range.
legend_fixed is inspired by the legend used in
mosaicplot. For
more details on the shading functions and their return values, see
shadings.
Value
A function with arguments:
residuals |
residuals from the fitted independence model to be visualized. |
shading |
shading function computing colors from residuals (see details). |
autotext |
character vector indicating the title to be used when
no |
Author(s)
David Meyer David.Meyer@R-project.org
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").
Meyer, D., Zeileis, A., Hornik, K. (2003), Visualizing independence using extended association plots. Proceedings of the 3rd International Workshop on Distributed Statistical Computing, K. Hornik, F. Leisch, A. Zeileis (eds.), ISSN 1609-395X. https://www.R-project.org/conferences/DSC-2003/Proceedings/
See Also
Examples
data("Titanic")
mosaic(Titanic, shade = TRUE, legend = legend_resbased)
mosaic(Titanic, shade = TRUE, legend = legend_fixed, gp = shading_Friendly)