Element-by-element Not Equal (.!=)#
Purpose#
Performs element-by-element comparisons to determine if elements of the first matrix, vector, or dataframe are not equal to those of the second matrix, vector, or dataframe.
Format#
- c = a .! = b()#
- Parameters:
a (NxK matrix) – first matrix, vector, or dataframe.
b (LxM matrix) – second matrix, vector, or dataframe ExE compatible with a.
- Returns:
c (max(N, L) by max(K, M)) – matrix of 1’s (true) and 0’s (false), where each element of c is 1 if the corresponding element of a is not equal to the corresponding element of b, otherwise 0.
Examples#
Example 1: Matrices of the same size#
// Create a 2x2 matrix
a = { 4 5,
6 7 };
// Create another 2x2 matrix
b = { 4 5,
7 8 };
c = a .!= b;
After the above code, c will equal:
c = 0 0
1 1
Example 2: Matrix vs vector comparison#
If matrices are not the same size, they must be ExE conformable on one of the dimensions.
// Create a 2x3 matrix
a = { 4 5 6,
7 8 9 };
// Create a 1x3 vector
b = { 4 8 6 };
c = a .!= b;
After the above code, c will equal:
c = 0 1 0
1 0 1
Example 3: Row vector vs column vector comparison#
Row vectors and column vectors can be compared by expanding one to match the dimensions of the other through broadcasting.
// Create a 1x4 vector
a = { 4 5 6 7 };
// Create a 3x1 vector
b = { 4,
6,
7 };
c = a .!= b;
After the above code, c will equal:
c = 0 1 1 1
1 1 0 1
1 1 1 0
GAUSS internally expands the vectors to match each other. The above example is equivalent to comparing:
// Expanded 3x4 matrix from vector 'a'
a = { 4 5 6 7,
4 5 6 7,
4 5 6 7 };
// Expanded 3x4 matrix from vector 'b'
b = { 4 4 4 4,
6 6 6 6,
7 7 7 7 };
c = a .!= b;
This will set c equal to:
c = 0 1 1 1
1 1 0 1
1 1 1 0