Package parser

Class Set

java.lang.Object
parser.Set
public class Set
extends java.lang.Object
Class that provides utility methods for carrying out statistical analysis on a data set consisting of real numbers.
Author:
GBENRO

  • Constructor Summary

    Constructors 
    Constructor Description
    Set​(double... data)  
    Set​(java.util.List<java.lang.String> data)
    Creates a new Set object initialized with the specified data set.
    Set​(MathExpression function, java.util.List<java.lang.String> data)
    Creates a new Set object initialized with a set of data coming from a mathematical MathExpression.

  • Method Summary

    Modifier and Type Method Description
    Matrix addMatrix()
    The list must have been originally supplied: matrix_add(A,B) {where A and B are matrices} It adds them out and returns the result as a list.
    Matrix adjoint()
    The list must have been originally supplied: adjoint(A) {where A is a Matrix} It finds the adjoint of A and returns the result as a list.
    double avg()  
    Matrix cofactorMatrix()
    The list must have been originally supplied: adjoint(A) {where A is a Matrix} It finds the adjoint of A and returns the result as a list.
    java.lang.String combination()  
    java.lang.String cov()  
    double determinant()  
    java.lang.String differentiate()
    Finds the numerical derivative of a Function which has been pre-defined in the Workspace.
    Matrix divideMatrix()
    The list must have been originally supplied: matrix_div(A,B) {where A and B are matrices} or matrix_div(A,k) {where A is a matrix and k is a scalar} It divides them out and returns the result as a list.
    Matrix echelon()
    The input list is such that: The first 2 entries specify the number of rows and columns.
    Matrix editMatrix()
    The list must have been originally supplied: transpose(A) {where A is a Matrix} It transposes A and returns the result as a list.
    java.lang.String eigenPoly()
    The list must have been originally supplied: eigPoly(A) {where A is a Matrix} It finds the characterisic polynomial whose solution yields the eigenvalues of A and returns the result as a list.
    Matrix eigenVectors()
    The list must have been originally supplied: eigvec(A) {where A is a Matrix} It finds the eigenvalues of A and returns the result as a list.
    java.lang.String evaluateUserDefinedFunction​(java.lang.String operator)  
    java.math.BigDecimal geom()  
    java.util.List<java.lang.String> getData()  
    java.math.BigDecimal gsum()  
    java.lang.String integrate()
    Finds the numerical integral of a Function which has been pre-defined in the Workspace.
    Matrix invert()  
    Matrix listToMatrix()
    The input list is such that: The first 2 entries specify the number of rows and columns.
    double max()  
    double median()  
    double min()
    this method determines the least value in a set of numbers
    java.lang.String mode()  
    double mrng()  
    Matrix multiplyMatrix()
    The list must have been originally supplied: matrix_mul(A,B) {where A and B are matrices} or matrix_mul(A,k) {where A is a matrix and k is a scalar} It multiplies them out and returns the result as a list.
    java.lang.String permutation()  
    java.lang.String power()  
    Matrix powerMatrix()
    The list must have been originally supplied: matrix_pow(A,n) {where A is a Matrix and n is an integer.
    void print()
    The list must have been originally supplied: eigvec(A) {where A is a Matrix} It finds the eigenvalues of A and returns the result as a list.
    double prod()  
    java.lang.String quadraticRoots()  
    java.util.List<java.lang.String> random()
    if no value is found in the data set, the software will generate floating point values randomly between 0.0 and 1.0 ( 0.0 inclusive and 1.0 exclusive).
    double rms()  
    double rng()  
    java.lang.String rootOfEquation()
    Finds the zero of a Function which has been pre-defined in the Workspace.
    void setData​(java.util.ArrayList<java.lang.String> data)  
    int size()  
    Matrix solveSystem()
    The input list must be an n rows by n+1 columns matrix
    java.util.List<java.lang.String> sort()  
    double std_dev()  
    double std_err()  
    Matrix subtractMatrix()
    The list must have been originally supplied: matrix_sub(A,B) {where A and B are matrices} It subtracts them out and returns the result as a list.
    double sum()  
    double sumOfSquares()  
    java.lang.String tartaglianRoots()  
    Matrix transpose()
    The list must have been originally supplied: transpose(A) {where A is a Matrix} It transposes A and returns the result as a list.
    Matrix triMatrix()
    The input list is such that: The first 2 entries specify the number of rows and columns.
    double var()  

    Methods inherited from class java.lang.Object

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

  • Constructor Details

    • Set

      public Set​(double... data)
      Parameters:
      data -

    • Set

      public Set​(java.util.List<java.lang.String> data)
      Creates a new Set object initialized with the specified data set.
      Parameters:
      data - the data set used to initialize the data attribute of this class

    • Set

      public Set​(MathExpression function, java.util.List<java.lang.String> data)
      Creates a new Set object initialized with a set of data coming from a mathematical MathExpression.
      Parameters:
      function - the Math MathExpression from which the set of data is coming.
      data - the incoming data set

  • Method Details

    • setData

      public void setData​(java.util.ArrayList<java.lang.String> data)
      Parameters:
      data - sets the data to be operated on

    • getData

      public java.util.List<java.lang.String> getData()
      Returns:
      the data set

    • size

      public int size()
      Returns:
      the number of elements in the data set

    • sum

      public double sum()
      Returns:
      the sum of all elements in the data set

    • gsum

      public java.math.BigDecimal gsum()
      Returns:
      the geomethrical (multiplied) sum of all elements in the data set

    • geom

      public java.math.BigDecimal geom()
      Returns:
      the geomethrical avarage of all elements in the data set

    • sumOfSquares

      public double sumOfSquares()
      Returns:
      the sum of squares of values in the data set.

    • prod

      public double prod()
      Returns:
      the product of all elements in the data set.

    • min

      public double min()
      this method determines the least value in a set of numbers
      Returns:
      the least value in a set of numbers
      Throws:
      java.lang.NumberFormatException

    • max

      public double max()
      Returns:
      the maximum value in the data set.

    • avg

      public double avg()
      Returns:
      the meanor average value of a data set

    • rms

      public double rms()
      Returns:
      the root mean squared value of the data set

    • rng

      public double rng()
      Returns:
      the range of the data set

    • mrng

      public double mrng()
      Returns:
      the midrange of the data set

    • var

      public double var()
      Returns:
      the variance

    • std_dev

      public double std_dev()
      Returns:
      the standard deviation

    • std_err

      public double std_err()
      Returns:
      the standard error

    • cov

      public java.lang.String cov()
      Returns:
      the coefficient of variation

    • sort

      public java.util.List<java.lang.String> sort()
      Returns:
      a number list sorted in ascending order

    • invert

      public Matrix invert()
      Returns:
      the inverse of the Matrix as a number list

    • solveSystem

      public Matrix solveSystem()
      The input list must be an n rows by n+1 columns matrix
      Returns:
      a the solution to the system of equations represented by the number list

    • listToMatrix

      public Matrix listToMatrix()
      The input list is such that: The first 2 entries specify the number of rows and columns. The remaining entries are the Matrix's entries.
      Returns:
      a number list which represents the row-reduced echelon Matrix that the entries reduce to.

    • echelon

      public Matrix echelon()
      The input list is such that: The first 2 entries specify the number of rows and columns. The remaining entries are the Matrix's entries.
      Returns:
      a number list which represents the row-reduced echelon Matrix that the entries reduce to.

    • triMatrix

      public Matrix triMatrix()
      The input list is such that: The first 2 entries specify the number of rows and columns. The remaining entries are the Matrix's entries.
      Returns:
      a number list which represents the triangular Matrix that the entries reduce to.

    • median

      public double median()
      Returns:
      the median of the data set

    • mode

      public java.lang.String mode()
      Returns:
      the mode of a number set as a list

    • random

      public java.util.List<java.lang.String> random()
      if no value is found in the data set, the software will generate floating point values randomly between 0.0 and 1.0 ( 0.0 inclusive and 1.0 exclusive). Else: If the data set has only one number, e.g [m] this method will randomly generate a number between 0 and m-1 If the list has 2 numbers, say m and n, e.g [m,n] The method will generate n numbers between 0 and m-1
      Returns:
      a list of values generated randomly according to the format of the random command.

    • permutation

      public java.lang.String permutation()
      Returns:
      the permutation of 2 values.

    • combination

      public java.lang.String combination()
      Returns:
      the combination of 2 values.

    • power

      public java.lang.String power()
      Returns:
      Raises the number in index 0 to a power equal to the number in index 1.

    • differentiate

      public java.lang.String differentiate()
      Finds the numerical derivative of a Function which has been pre-defined in the Workspace.
      Returns:
      the derivative at the specified value of the horizontal coordinate.

    • quadraticRoots

      public java.lang.String quadraticRoots()

    • tartaglianRoots

      public java.lang.String tartaglianRoots()

    • rootOfEquation

      public java.lang.String rootOfEquation()
      Finds the zero of a Function which has been pre-defined in the Workspace.
      Returns:
      one of the roots of the Function object.

    • integrate

      public java.lang.String integrate()
      Finds the numerical integral of a Function which has been pre-defined in the Workspace.
      Returns:
      the derivative at the specified value of the horizontal coordinate.

    • determinant

      public double determinant()
      Returns:
      the determinant or Double.NaN if the determinant does not exist.

    • multiplyMatrix

      public Matrix multiplyMatrix()
      The list must have been originally supplied: matrix_mul(A,B) {where A and B are matrices} or matrix_mul(A,k) {where A is a matrix and k is a scalar} It multiplies them out and returns the result as a list.
      Returns:
      a Matrix containing the matrix product (scalar or vector) depending on the second argument.

    • divideMatrix

      public Matrix divideMatrix()
      The list must have been originally supplied: matrix_div(A,B) {where A and B are matrices} or matrix_div(A,k) {where A is a matrix and k is a scalar} It divides them out and returns the result as a list.
      Returns:
      a Matrix containing the matrix division (scalar or vector) depending on the second argument.

    • addMatrix

      public Matrix addMatrix()
      The list must have been originally supplied: matrix_add(A,B) {where A and B are matrices} It adds them out and returns the result as a list.
      Returns:
      a Matrixcontaining the matrix addition (scalar or vector).

    • subtractMatrix

      public Matrix subtractMatrix()
      The list must have been originally supplied: matrix_sub(A,B) {where A and B are matrices} It subtracts them out and returns the result as a list.
      Returns:
      a Matrix containing the matrix difference.

    • powerMatrix

      public Matrix powerMatrix()
      The list must have been originally supplied: matrix_pow(A,n) {where A is a Matrix and n is an integer. If n is a double, it is rounded down to the nearest int.} It raises the Matrix to the power of the second argument and returns the result as a list.
      Returns:
      a Matrix containing the matrix's power.

    • transpose

      public Matrix transpose()
      The list must have been originally supplied: transpose(A) {where A is a Matrix} It transposes A and returns the result as a list.
      Returns:
      a Matrix containing the matrix transpose.

    • adjoint

      public Matrix adjoint()
      The list must have been originally supplied: adjoint(A) {where A is a Matrix} It finds the adjoint of A and returns the result as a list.
      Returns:
      a Matrix containing the matrix transpose.

    • cofactorMatrix

      public Matrix cofactorMatrix()
      The list must have been originally supplied: adjoint(A) {where A is a Matrix} It finds the adjoint of A and returns the result as a list.
      Returns:
      a Matrix containing the matrix transpose.

    • eigenVectors

      public Matrix eigenVectors()
      The list must have been originally supplied: eigvec(A) {where A is a Matrix} It finds the eigenvalues of A and returns the result as a list.
      Returns:
      a Matrix containing the matrix transpose.

    • print

      public void print()
      The list must have been originally supplied: eigvec(A) {where A is a Matrix} It finds the eigenvalues of A and returns the result as a list.

    • eigenPoly

      public java.lang.String eigenPoly()
      The list must have been originally supplied: eigPoly(A) {where A is a Matrix} It finds the characterisic polynomial whose solution yields the eigenvalues of A and returns the result as a list.
      Returns:
      a Matrix containing the matrix transpose.

    • editMatrix

      public Matrix editMatrix()
      The list must have been originally supplied: transpose(A) {where A is a Matrix} It transposes A and returns the result as a list.
      Returns:
      a Matrix containing the matrix transpose.

    • evaluateUserDefinedFunction

      public java.lang.String evaluateUserDefinedFunction​(java.lang.String operator) throws java.lang.ClassNotFoundException
      Parameters:
      operator - The operator.
      Returns:
      the value of the user defined function.
      Throws:
      java.lang.ClassNotFoundException - if the function was never defined by the user.