Panel function for plotting functions
Panel function for plotting functions
panel.plotFun(
object,
...,
type = "l",
npts = NULL,
zlab = NULL,
filled = TRUE,
levels = NULL,
nlevels = 10,
surface = FALSE,
col.regions = topo.colors,
lwd = trellis.par.get("superpose.line")$lwd,
lty = trellis.par.get("superpose.line")$lty,
alpha = NULL,
discontinuity = NULL,
discontinuities = NULL
)object |
an object (e.g., a formula) describing a function |
... |
additional arguments, typically processed by
|
type |
type of plot ( |
npts |
an integer giving the number of points (in each dimension) to sample the function |
zlab |
label for z axis (when in surface-plot mode) |
filled |
fill with color between the contours ( |
levels |
levels at which to draw contours |
nlevels |
number of contours to draw (if |
surface |
a logical indicating whether to draw a surface plot rather than a contour plot |
col.regions |
a vector of colors or a function ( |
lwd |
width of the line |
lty |
line type |
alpha |
number from 0 (transparent) to 1 (opaque) for the fill colors |
discontinuity |
a positive number determining how sensitive the plot is to
potential discontinuity. Larger values result in less sensitivity. The default is 1.
Use |
discontinuities |
a vector of input values at which a function is
discontinuous or |
plotFun
x <- runif(30,0,2*pi) d <- data.frame( x = x, y = sin(x) + rnorm(30,sd=.2) ) xyplot( y ~ x, data=d ) ladd(panel.plotFun( sin(x) ~ x, col='red' ) ) xyplot( y ~ x | rbinom(30,1,.5), data=d ) ladd(panel.plotFun( sin(x) ~ x, col='red', lty=2 ) ) # plots sin(x) in each panel
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