sets (version 1.0-25)

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

Value

The main argument (invisibly).

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.

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))