Abstract
Residual-based shadings for enhancing mosaic and association plots to visualize independence
models for contingency tables are extended in two directions: (a) perceptually uniform
Hue-Chroma-Luminance (HCL) colors are used and (b) the result of an associated significance
test is coded by the appearance of color in the visualization. For obtaining (a), a general strategy
for deriving diverging palettes in the perceptually-based HCL space is suggested. As for
(b), cut offs that control the appearance of color are computed in a data-driven way based
on the conditional permutation distribution of maximum-type test statistics. The shadings
are first established for the case of independence in 2-way tables and then extended to more
general independence models for multi-way tables, including in particular conditional independence
models.
models for contingency tables are extended in two directions: (a) perceptually uniform
Hue-Chroma-Luminance (HCL) colors are used and (b) the result of an associated significance
test is coded by the appearance of color in the visualization. For obtaining (a), a general strategy
for deriving diverging palettes in the perceptually-based HCL space is suggested. As for
(b), cut offs that control the appearance of color are computed in a data-driven way based
on the conditional permutation distribution of maximum-type test statistics. The shadings
are first established for the case of independence in 2-way tables and then extended to more
general independence models for multi-way tables, including in particular conditional independence
models.
| Original language | English |
|---|---|
| Pages (from-to) | 507 - 525 |
| Journal | Journal of Computational and Graphical Statistics |
| Volume | 16 |
| Issue number | 3 |
| Publication status | Published - 1 Nov 2007 |
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