# Special panel functions 03

### Description

In development specialist panel functions for generating zcase glyph structures.

### Usage

1 2 3 4 5 | ```
panel.zcasePiePlot(..., zcase.rescale=TRUE,
loa.settings = FALSE)
panel.zcasePieSegmentPlot(..., zcase.rescale=TRUE,
loa.settings = FALSE)
``` |

### Arguments

`...` |
Additional arguments, typically setting the color and properties of the plotted glyphs. See below. |

`zcase.rescale` |
Should the glyph element be rescaled? See below. |

`loa.settings` |
loa options, to be handled by |

### Details

All these `panel...`

functions generate glyphs using `z`

inputs and plot these
at the associated (x, y) location. So, for example a called which used one of the panels
and the plot formula:

`z1 + z2+ z3 + z4 ~ x * y`

... would plot a series of glyphs, each containing four elements that would be scaled
according to `z1`

, `z2`

, `z3`

and `z4`

, and each at the associated
(x, y) location. This means there will be one discrete glyph for each row of data supplied
to the plot call.

`panel.zcasePiePlot`

generates a series of x/y referenced pie graphs. By default, pie
dimensions are assigned as: Pie size (radius) proportional to sum of z cases and scaled using
`cexHandler`

(z1 + z2 + z3 + z4 for the above formula); Number of Pie segments
equal to number of z cases (so, 4 for the above formula); Pie segment width (phi) proportional to
the individual zcase (so, z1 / (z1 + z2 + z3 + z4) * 360 for first pie segment for the above
formula).

`panel.zcasePieSegmentPlot`

is a variation on the conventional pie plot where segement radius
rather than segment width is varying by zcase.

### Value

These `panel...`

functions are intended to be used as the
`panel`

argument in `loa`

plot calls. So, e.g.:

`a <- 1:10`

`b <- 10:1`

`loaPlot(a+b~a*a, panel=panel.zcasePiePlot)`

`loaPlot(a+b~a*a, panel=panel.zcasePieSegmentPlot)`

### Note

Functions in development. Arguments may change.

### Author(s)

Karl Ropkins

### References

These function makes extensive use of code developed by others.

lattice: Sarkar, Deepayan (2008) Lattice: Multivariate Data Visualization with R. Springer, New York. ISBN 978-0-387-75968-5

### See Also

In `loa`

: `loaPlot`

, `panelPal`

In other packages: `xyplot`

in `lattice`

.

### Examples

1 2 3 4 5 6 7 8 9 10 11 12 13 | ```
## Example 1
## plotting georeferenced pie plots
# Use a subsample of lat.lon.meuse
temp <- lat.lon.meuse[sample(1:155, 15),]
# plot Cu/Pb/Zn pie plots at sampling locations
# loaPlot(copper+lead+zinc~longitude*latitude,
# panel=panel.zcasePiePlot, data=temp)
# then rescale smaller pie segments on the fly
loaPlot(copper*10+lead*4+zinc~longitude*latitude,
panel=panel.zcasePiePlot, data=temp)
``` |