| plot.fv {spatstat} | R Documentation |
Plot method for the class "fv".
plot.fv(x, fmla, subset=NULL, lty=NULL, col=NULL, xlim, ylim, xlab, ylab, ...)
x |
An object of class "fv", containing the variables to be plotted
or variables from which the plotting coordinates can be computed.
|
fmla |
an R language formula determining which variables or expressions are plotted. Either a formula object, or a string that can be parsed as a formula. |
subset |
(optional) subset of rows of the data frame that will be plotted. |
lty |
(optional) numeric vector of values of the graphical parameter
lty controlling the line style of each plot.
|
col |
(optional) numeric vector of values of the graphical parameter
col controlling the colour of each plot.
|
xlim |
(optional) range of x axis |
ylim |
(optional) range of y axis |
xlab |
(optional) label for x axis |
ylab |
(optional) label for y axis |
... |
Extra arguments passed to plot.default.
|
This is the plot method for the class "fv".
The use of the argument fmla is like plot.formula, but offers
some extra functionality.
The left and right hand sides of fmla
are evaluated in the data frame x,
and the results are plotted against each other
(the left side on the y axis
against the right side on the x axis).
Both left and right sides may be variables in the data frame
or expressions in these variables.
Multiple curves may be specified by a single formula
of the form
cbind(y1,y2,...,yn) ~ x, where x,y1,y2,...,yn are
expressions involving the variables in the data frame.
Each of the variables y1,y2,...,yn in turn will be plotted
against x.
See the examples.
none. Side effect is a plot.
Adrian Baddeley adrian@maths.uwa.edu.au http://www.maths.uwa.edu.au/~adrian/ and Rolf Turner rolf@math.unb.ca http://www.math.unb.ca/~rolf
data(cells)
K <- Kest(cells)
# K is an object of class "fv"
plot(K, iso ~ r) # plots iso against r
plot(K, sqrt(iso/pi) ~ r) # plots sqrt(iso/r) against r
plot(K, cbind(iso,theo) ~ r) # plots iso against r AND theo against r
plot(K, cbind(iso,theo) ~ r, col=c(2,3))
# plots iso against r in colour 2
# and theo against r in colour 3
plot(K, iso ~ r, subset=quote(r < 0.2))
# plots iso against r for r < 10