Set: R6 class for a fuzzy set with sparse internal representation
In neuroimaginador/fcaR: Formal Concept Analysis
Set R Documentation
R6 class for a fuzzy set with sparse internal representation
Description
This class implements the data structure and methods for fuzzy sets.
Methods
Public methods
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Method new()
Creator for objects of class Set
Usage
Set$new(attributes, M = NULL, ...)
Arguments
attributes(character vector) Names of the attributes that will be available in the fuzzy set.
M(numeric vector or column Matrix) Values (grades) to be assigned to the attributes.
...key = value pairs, where the value value is assigned to the key attribute name.
Details
If M is omitted and no pair key = value, the fuzzy set is the empty set. Later, one can use the assign method to assign grades to any of its attributes.
Returns
An object of class Set.
Method assign()
Assign grades to attributes in the set
Usage
Set$assign(attributes = c(), values = c(), ...)
Arguments
attributes(character vector) Names of the attributes to assign a grade to.
values(numeric vector) Grades to be assigned to the previous attributes.
...key = value pairs, where the value value is assigned to the key attribute name.
Details
One can use both of:
S$assign(A = 1, B = 0.3)
S$assign(attributes = c(A, B), values = c(1, 0.3)).
Method [()
Get elements by index
Usage
Set$[(indices)
Arguments
indices(numeric, logical or character vector) The indices of the elements to return. It can be a vector of logicals where TRUE elements are to be retained.
Returns
A Set but with only the required elements.
Method cardinal()
Cardinal of the Set
Usage
Set$cardinal()
Returns
the cardinal of the Set, counted
as the sum of the degrees of each element.
Method get_vector()
Internal Matrix
Usage
Set$get_vector()
Returns
The internal sparse Matrix representation of the set.
Method get_attributes()
Attributes defined for the set
Usage
Set$get_attributes()
Returns
A character vector with the names of the attributes.
Method length()
Number of attributes
Usage
Set$length()
Returns
The number of attributes that are defined for this fuzzy set.
Method print()
Prints the set to console
Usage
Set$print(eol = TRUE)
Arguments
eol(logical) If TRUE, adds an end of line to the output.
Returns
A string with the elements of the set and their grades between brackets .
Method to_latex()
Write the set in LaTeX format
Usage
Set$to_latex(print = TRUE)
Arguments
print(logical) Print to output?
Returns
The fuzzy set in LaTeX.
Method clone()
The objects of this class are cloneable with this method.
Usage
Set$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
Examples
S <- Set$new(attributes = c("A", "B", "C"))
S$assign(A = 1)
print(S)
S$to_latex()
S <- Set$new(c("A", "B", "C"), C = 1, B = 0.5)
S
neuroimaginador/fcaR documentation built on Dec. 10, 2023, 10:23 p.m.
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| Set | R Documentation |
R6 class for a fuzzy set with sparse internal representation
Description
This class implements the data structure and methods for fuzzy sets.
Methods
Public methods
Method new()
Creator for objects of class Set
Usage
Set$new(attributes, M = NULL, ...)
Arguments
attributes(character vector) Names of the attributes that will be available in the fuzzy set.
M(numeric vector or column
Matrix) Values (grades) to be assigned to the attributes....key=valuepairs, where the valuevalueis assigned to thekeyattribute name.
Details
If M is omitted and no pair key = value, the fuzzy set is the empty set. Later, one can use the assign method to assign grades to any of its attributes.
Returns
An object of class Set.
Method assign()
Assign grades to attributes in the set
Usage
Set$assign(attributes = c(), values = c(), ...)
Arguments
attributes(character vector) Names of the attributes to assign a grade to.
values(numeric vector) Grades to be assigned to the previous
attributes....key=valuepairs, where the valuevalueis assigned to thekeyattribute name.
Details
One can use both of:
S$assign(A = 1, B = 0.3)
S$assign(attributes = c(A, B), values = c(1, 0.3)).
Method [()
Get elements by index
Usage
Set$[(indices)
Arguments
indices(numeric, logical or character vector) The indices of the elements to return. It can be a vector of logicals where
TRUEelements are to be retained.
Returns
A Set but with only the required elements.
Method cardinal()
Cardinal of the Set
Usage
Set$cardinal()
Returns
the cardinal of the Set, counted
as the sum of the degrees of each element.
Method get_vector()
Internal Matrix
Usage
Set$get_vector()
Returns
The internal sparse Matrix representation of the set.
Method get_attributes()
Attributes defined for the set
Usage
Set$get_attributes()
Returns
A character vector with the names of the attributes.
Method length()
Number of attributes
Usage
Set$length()
Returns
The number of attributes that are defined for this fuzzy set.
Method print()
Prints the set to console
Usage
Set$print(eol = TRUE)
Arguments
eol(logical) If
TRUE, adds an end of line to the output.
Returns
A string with the elements of the set and their grades between brackets .
Method to_latex()
Write the set in LaTeX format
Usage
Set$to_latex(print = TRUE)
Arguments
print(logical) Print to output?
Returns
The fuzzy set in LaTeX.
Method clone()
The objects of this class are cloneable with this method.
Usage
Set$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
Examples
S <- Set$new(attributes = c("A", "B", "C"))
S$assign(A = 1)
print(S)
S$to_latex()
S <- Set$new(c("A", "B", "C"), C = 1, B = 0.5)
S
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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