legends | R Documentation |

These functions generate legend functions for residual-based shadings.

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)

`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. |

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`

.

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 |

David Meyer David.Meyer@R-project.org

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/

`structable`

,
`shadings`

data("Titanic") mosaic(Titanic, shade = TRUE, legend = legend_resbased) mosaic(Titanic, shade = TRUE, legend = legend_fixed, gp = shading_Friendly)

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