plot: Plot functions for generalized sets

In sets: Sets, Generalized Sets, Customizable Sets and Intervals

Plot functions for generalized sets

Description

Plot and lines functions for (tuples of) generalized sets and function generators of characteristic functions.

Usage

## S3 method for class 'gset'
plot(x, type = NULL, ylim = NULL,
         xlab = "Universe", ylab = "Membership Grade", ...)
## S3 method for class 'cset'
plot(x, ...)
## S3 method for class 'set'
plot(x, ...)
## S3 method for class 'tuple'
plot(x, type = "l", ylim = NULL,
         xlab = "Universe", ylab = "Membership Grade", col = 1,
         continuous = TRUE, ...)
## S3 method for class 'charfun_generator'
plot(x, universe = NULL, ...)

## S3 method for class 'gset'
lines(x, type = "l", col = 1, continuous = TRUE,
         universe = NULL, ...)
## S3 method for class 'cset'
lines(x, ...)
## S3 method for class 'set'
lines(x, ...)
## S3 method for class 'tuple'
lines(x, col = 1, universe = NULL, ...)
## S3 method for class 'charfun_generator'
lines(x, universe = NULL, ...)

Arguments

x	For a method for class foo, an object of class foo.
type	Same as the type argument of plot. For plot.gset and plot.cset, "barplot" can also be used.
universe	Universal set used for setting up the plot region. By default, this is deduced from the object(s) to be plotted.
col	Character or integer vector specifying the color of the object(s) to be plotted.
continuous	Logical indicating whether zero membership degrees “inside” the graph should be ignored.
xlab, ylab	Character labels for the axes.
ylim	Double vector of length 2 defining the range of the y axis.
...	Further arguments passed to the default plot methods.

Value

The main argument (invisibly).

See Also

set, gset, and tuple for the set types, and fuzzy_normal for available characteristic functions.

Examples

## basic plots
plot(gset(1:3, 1:3/3))
plot(gset(1:3, 1:3/3, universe = 0:4))
plot(gset(c("a", "b"), list(1:2/2, 0.3)))

## characteristic functions
plot(fuzzy_normal)
plot(tuple(fuzzy_normal, fuzzy_bell), col = 1:2)
plot(fuzzy_pi3_gset(min = 2, max = 15))

## superposing plots using lines()
x <- fuzzy_normal_gset()
y <- fuzzy_trapezoid_gset(corners = c(5, 10, 15, 17), height = c(0.7, 1))
plot(tuple(x, y))
lines(x | y, col = 2)
lines(x & y, col = 3)

## another example using gset_mean
x <- fuzzy_two_normals_gset(sd = c(2, 1))
y <- fuzzy_trapezoid_gset(corners = c(5, 9, 11, 15))
plot(tuple(x, y))
lines(tuple(gset_mean(x, y),
            gset_mean(x, y, "geometric"),
            gset_mean(x, y, "harmonic")),
      col = 2:4)

## creating a sequence of sets
plot(fuzzy_tuple(fuzzy_cone, 10), col = gray.colors(10))

sets documentation built on May 29, 2024, 10:09 a.m.