splot: Utilities for plotting with a color scale
In npsp: Nonparametric Spatial Statistics

splot

R Documentation

Utilities for plotting with a color scale

Description

splot is designed to combine a standard R plot with a legend representing a (continuous) color scale. This is done by splitting the plotting region into two parts. Keeping one for the main chart and putting the legend in the other. For instance, sxxxx functions (spoints, simage and spersp) draw the corresponding high-level plot (xxxx), after calling splot, to include a legend strip for the color scale.

These functions are based on function image.plot of package fields, see its documentation for additional information.

jet.colors and hot.colors create a color table useful for contiguous color scales and scolor assigns colors to a numerical vector.

Usage

splot(
  slim = c(0, 1),
  col = jet.colors(128),
  breaks = NULL,
  horizontal = FALSE,
  legend.shrink = 0.9,
  legend.width = 1.2,
  legend.mar = ifelse(horizontal, 3.1, 5.1),
  legend.lab = NULL,
  bigplot = NULL,
  smallplot = NULL,
  lab.breaks = NULL,
  axis.args = NULL,
  legend.args = NULL,
  add = FALSE
)

scolor(s, col = jet.colors(128), slim = range(s, finite = TRUE))

jet.colors(n)

hot.colors(n, rev = TRUE)

Arguments

`slim`	limits used to set up the color scale.
`col`	color table used to set up the color scale (see `image` for details).
`breaks`	(optional) numeric vector with the breakpoints for the color scale: must have one more breakpoint than `col` and be in increasing order.
`horizontal`	logical; if `FALSE` (default) legend will be a vertical strip on the right side. If `TRUE` the legend strip will be along the bottom.
`legend.shrink`	amount to shrink the size of legend relative to the full height or width of the plot.
`legend.width`	width in characters of the legend strip. Default is 1.2, a little bigger that the width of a character.
`legend.mar`	width in characters of legend margin that has the axis. Default is 5.1 for a vertical legend and 3.1 for a horizontal legend.
`legend.lab`	label for the axis of the color legend. Default is no label as this is usual evident from the plot title.
`bigplot`	plot coordinates for main plot. If not passed these will be determined within the function.
`smallplot`	plot coordinates for legend strip. If not passed these will be determined within the function.
`lab.breaks`	if breaks are supplied these are text string labels to put at each break value. This is intended to label axis on a transformed scale such as logs.
`axis.args`	additional arguments for the axis function used to create the legend axis (see `image.plot` for details).
`legend.args`	arguments for a complete specification of the legend label. This is in the form of list and is just passed to the `mtext` function. Usually this will not be needed (see `image.plot` for details).
`add`	logical; if `TRUE` the legend strip is just added to the existing plot (the graphical parameters are not changed).
`s`	values to be converted to the color scale.
`n`	number of colors (`>= 1`) to be in the palette.
`rev`	logical; if `TRUE`, the palette is reversed (decreasing overall luminosity).

Details

scolor converts a real valued vector to a color scale. The range slim is divided into length(col) + 1 pieces of equal length. Values which fall outside the range of the scale are coded as NA.

jet.colors generates a rainbow style color table similar to the MATLAB (TM) jet color scheme. It may be appropriate to distinguish between values above and below a central value (e.g. between positive and negative values).

hot.colors generates a color table similar to the MATLAB (TM) hot color scheme (reversed by default). It may be appropriate to represent values ranging from 0 to some maximum level (e.g. density estimation). The default value rev = TRUE may be adecuate to grayscale convertion.

Value

splot invisibly returns a list with the following 3 components:

`bigplot`	plot coordinates of the main plot. These values may be useful for drawing a plot without the legend that is the same size as the plots with legends.
`smallplot`	plot coordinates of the secondary plot (legend strip).
`old.par`	previous graphical parameters (`par(old.par)` will reset plot parameters to the values before entering the function).

jet.colors and hot.colors return a character vector of colors (similar to heat.colors or terrain.colors; see rgb).

Side Effects

After exiting splot, the plotting region may be changed (par("plt")) to make it possible to add more features to the plot.

Author(s)

Modified by Ruben Fernandez-Casal <rubenfcasal@gmail.com>.

Examples

# Plot equivalent to spoints():
scale.range <- range(aquifer$head)
res <- splot(slim = scale.range)
with( aquifer, plot(lon, lat, col = scolor(head, slim = scale.range), 
       pch = 16, cex = 1.5, main = "Wolfcamp aquifer data"))
par(res$old.par) # restore graphical parameters       
# Multiple plots with a common legend:
# regularly spaced 2D data...
set.seed(1)
nx <- c(40, 40) # ndata =  prod(nx)
x1 <- seq(-1, 1, length.out = nx[1])
x2 <- seq(-1, 1, length.out = nx[2])
trend <- outer(x1, x2, function(x,y) x^2 - y^2)
y <- trend + rnorm(prod(nx), 0, 0.1)
scale.range <- c(-1.2, 1.2)
scale.color <- heat.colors(64)
# 1x2 plot with some room for the legend...
old.par <- par(mfrow = c(1,2), omd = c(0.05, 0.85, 0.05, 0.95))
image( x1, x2, trend, zlim = scale.range, main = 'Trend', col = scale.color)
image( x1, x2, y, zlim = scale.range, main = 'Data', col = scale.color)
par(old.par)
# the legend can be added to any plot...
splot(slim = scale.range, col = scale.color, add = TRUE)
## note that argument 'zlim' in 'image' corresponds with 'slim' in 'sxxxx' functions.

npsp documentation built on May 29, 2024, 5:31 a.m.