Determine if a real number is a numeric type.

TF = isnumeric(2)

TF = logical
   1

MATLAB® stores numeric data as a double-precision format by default, which is a numeric type.

Now create a signed 16-bit integer type using int16. Check if it is a numeric type.

TF = isnumeric(int16(-256))

TF = logical
   1

Determine if an array containing infinity or not-a-number values is a numeric type.

Create several calculations that return Inf and assign the results to an array. Check if the array is a numeric type.

A = [1/0 log(0) 1e1000]

A = 1×3

   Inf  -Inf   Inf

TF = isnumeric(A)

TF = logical
   1

MATLAB represents infinity by the special value Inf as a double type.

Create several calculations that return NaN and assign the results to an array. Check if the array is a numeric type.

A = [0/0 -Inf/Inf]

A = 1×2

   NaN   NaN

TF = isnumeric(A)

TF = logical
   1

MATLAB represents not-a-number by the special value NaN, as a double type.

Determine if an array containing floating-point numbers is a numeric type.

A = [-3.5e2 2.5; single(3) pi]

A = 2x2 single matrix

 -350.0000    2.5000
    3.0000    3.1416

TF = isnumeric(A)

TF = logical
   1

Now create a cell array that contains the array A and other numbers. Use class to identify the type of the cell array. Check if it is a numeric type.

B = {A -4; 2 1}

B=2×2 cell array
    {2x2 single}    {[-4]}
    {[       2]}    {[ 1]}

type = class(B)

type = 
'cell'

TF = isnumeric(B)

TF = logical
   0

The cell array is not a numeric type since it is a cell type.