In development functions for lims and scales handling with lattice plots.
limsHandler(x=NULL, y=NULL, z=NULL, ..., lim.borders = 0.05)localScalesHandler(scales = NULL, ..., allowed.scales =c("x", "y"),
disallowed.scales = NULL, remove.box = FALSE)
panel.localScale(x.loc, y.loc, lim, ..., panel.scale = NULL,
label.before = TRUE, x.offset = NULL, y.offset = NULL,
axis = TRUE, ticks = TRUE, annotation = TRUE)
yscale.component.log10(...)
xscale.component.log10(...)
limsHandler returns a list containing ...lim ranges for
any of the elements x, y and/or z supplied to it.
localScalesHandler returns a list containing the
elements: scales, panel.scales and possibly
par.settings. scales turns off the standard
axes annotation. panel.scales is a list of named elements, one
per named axis, describing the axis layout. If
remove.box = TRUE, the additional argument par.settings
is also supplied.
All arguments should be passed on to the associated plot.
panel.scales or axis-specific elements in panel.scales
can then be evaluated by an associated panel... function run
from within the lattice plot call. This would typically
take the form:
panel.my.axis(panel.scale = panel.scale$axis, ...)
panel.localScale is a local axis/scale plotter. It can be used
in combination with localScalesHandler, and should called
once for each axis that is required, or it can be used 'stand alone'
panel to add a local scale to a lattice plot.
yscale.component.log10 and xscale.component.log10 are
simple axis transforms for use with log to the base 10 transformed
plot axes.
x, y and/or z data series.
numeric vector, giving the relative border to
extend ...lim ranges by when generating axes or scales. The
lim.borders are relative proportions. So, the default setting
of 0.05 adds an extra +/- 5% to the data range. If multiple values
are supplied the first three are treated as x, y and
z lim.borders, respectively. If less than three values are
supplied, the three values are generated by wrapping. So, the default
setting of 0.05 is equivalent to c(0.05, 0.05, 0.05).
A list of elements like the scales
argument used with lattice functions. Current
default elements draw (= TRUE), arrows (= FALSE),
tick.number (= 5), abbreviate (= FALSE),
minlength (= 4), and tck (= 1).
Additional arguments.
A character vector containing the names of the axes to be generated for as part of a local axis.
A character vector containing the names
of any axes that are not required. Note: If found, these are
removed from scales before evaluation.
A logical, default FALSE. Should the
box lattice typically places around standard plots be
removed? This can be useful if you are using a panel...
function to generate axes within the plot.
two member vectors setting the x
and y locations where the scale is to be drawn (x.loc
ans y.loc), and the limits of the range to be annotated on the
scale (lim). Note: These are currently handled 'as is', i.e.
for both locations and limit, the first element is the start point
and the second is the end point, and any other elements are ignored.
Scale annotation overrides.
label.before is a logical, which controls the position of
annotation, tick marks and/or arrows, etc relative to the scale
line (i.e., above/left before or below/right after). By default
panel.localScale generates tick marks and labels at right
angles to the scale line/axis. x.offset and y.offset
force the offsets when adding tick marks and annotation.
If supplied, fine controls for the
appearance of the axis line, axis tick marks and axis annotation
on the generated scale. These can be vectors, in which they are
assumed to be color assignments, or lists of common plot parameters,
such as col, lty, lwd, etc.
Karl Ropkins
limsHander generates xlim, ylim and/or zlim
ranges for axes or color scales for use in a range of plots.
localScalesHandler provides a relatively crude mechanism
for the removal of conventional lattice plot axes and
the generation of alternative axes using a panel... function
like panel.localScale.
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 trianglePlot Example 2 for example application
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