levelplot and
contourplot. Also documented is an alternative raster-based
panel function for use with levelplot.panel.levelplot(x, y, z,
subscripts,
at = pretty(z),
shrink,
labels,
label.style = c("mixed", "flat", "align"),
contour = FALSE,
region = TRUE,
col = add.line$col,
lty = add.line$lty,
lwd = add.line$lwd,
border = "transparent",
border.lty = 1,
border.lwd = 0.1,
...,
col.regions = regions$col,
alpha.regions = regions$alpha,
identifier = "levelplot")
panel.contourplot(...)panel.levelplot.raster(x, y, z,
subscripts,
at = pretty(z),
...,
col.regions = regions$col,
alpha.regions = regions$alpha,
interpolate = FALSE,
identifier = "levelplot")
x, y and
z to draw.z. See levelplot for details.at values. Alternatively, labels
can be a list with the following compo"flat" causes the label to be positioned where the contour
is flattest, and the label is not rotated. A value of
"align" causes the label to be drregion=TRUE.region=TRUE. Each interval defined by at
is assigned a color, so the number of colors actually used is one
less than the length of agrid.raster.levelplot and
contourplot (which differ only in default values of some
arguments). panel.contourplot is a simple wrapper to
panel.levelplot. When contour=TRUE, the contourLines function is used to
calculate the contour lines.
panel.levelplot.raster is an alternative panel function that
uses the raster drawing abilities in R 2.11.0 and higher (through
grid.raster). It has fewer options (e.g., can only
render data on an equispaced grid), but can be more efficient. When
using panel.levelplot.raster, it may be desirable to render the
color key in the same way. This is possible, but must be done
separately; see levelplot for details.
levelplot,
level.colors,
contourLinesrequire(grid)
levelplot(rnorm(10) ~ 1:10 + sort(runif(10)), panel = panel.levelplot)
suppressWarnings(plot(levelplot(rnorm(10) ~ 1:10 + sort(runif(10)),
panel = panel.levelplot.raster,
interpolate = TRUE)))
levelplot(volcano, panel = panel.levelplot.raster)
levelplot(volcano, panel = panel.levelplot.raster,
col.regions = topo.colors, cuts = 30, interpolate = TRUE)Run the code above in your browser using DataLab