plot.fv: Plot Function Values

Description

Plot method for the class "fv".

Usage

## S3 method for class 'fv':
plot(x, fmla, \dots, subset=NULL, lty=NULL, col=NULL, lwd=NULL,
           xlim=NULL, ylim=NULL, xlab=NULL, ylab=NULL, ylim.covers=NULL,
           legend=TRUE, legendpos="topleft", legendmath=FALSE,
           shade=NULL, shadecol="grey")

Arguments

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.

lwd

(optional) numeric vector of values of the graphical parameter lwd controlling the line width 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.

ylim.covers

Optional vector of $y$ values that must be included in the $y$ axis. For example ylim.covers=0 will ensure that the $y$ axis includes the origin.

legend

Logical flag or NULL. If legend=TRUE, the algorithm plots a legend in the top left corner of the plot, explaining the meaning of the different line types and colours.

legendpos

The position of the legend. Either a character string keyword (see legend for keyword options) or a pair of coordinates in the format list(x,y).

legendmath

Logical. If TRUE, the legend will display the mathematical notation for each curve. If FALSE, the legend text is the identifier (column name) for each curve.

shade

An index that identifies two columns of x. When the corresponding curves are plotted, the region between the curves will be shaded in light grey. Often used for displaying simulation envelopes, by setting shade=c("hi",

shadecol

The colour to be used in the shade plot. A character string or an integer specifying a colour.

Value

Either NULL, or a data frame giving the meaning of the different line types and colours.

Details

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.

A convenient abbreviation is the symbol . which can be used in the formula to represent all the variables in the data frame (other than the function argument itself). See the examples.

The value returned by this plot function indicates the meaning of the line types and colours in the plot. It can be used to make a suitable legend for the plot if you want to do this by hand. See the examples.

The argument shade can be used to display critical bands or confidence intervals. If it is not NULL, then it should be a subset index for the columns of x, that identifies exactly 2 columns. When the corresponding curves are plotted, the region between the curves will be shaded in light grey. See the Examples.

Examples

Run this code

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, .  ~ r)            # plots all available estimates of K against r

   plot(K, sqrt(./pi) ~ r)   # plots all estimates of L-function
                             # L(r) = sqrt(K(r)/pi)

   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

   # making a legend by hand
   v <- plot(K, . ~ r, ylab="K(r)", legend=FALSE)
   legend(0.05, 0.15, legend=v$meaning, lty=v$lty, col=v$col)

   # significance bands
   KE <- envelope(cells, Kest, nsim=19)
   plot(KE, shade=c("hi", "lo"))