The size and the data type of the array and the random numbers are the same. For example, let’s create an array and generate random values according to that array’s size and data type. You can also clone the size and data type of the random numbers from an existing array using the size() function for size and like property for the data type. If you only want integers in the output, you can convert these random numbers to integers using the round() function, which rounds a floating-point number to the nearest integer. There are ten random numbers in the range of 2 to 8. For example, let’s generate ten random numbers in the range of 2 to 8. In this formula, a is the lower limit, b is the upper limit, and n is the length of the random numbers. If you want to specify the range of the random numbers, you have to use the below formula. rn = rand(2)Īs you can see in the output, a 2-by-2 matrix containing random values between 0 and 1 is generated. For example, let’s generate a 2-by-2 matrix of random values using the rand() function. You can also specify the size of the matrix containing random values, and each value will be between 0 and 1, which you can scale according to your requirements by multiplying them with a scaler. If you want to generate uniformly distributed random numbers, you can use the rand() function in MATLAB, which generates random numbers between 0 and 1. Generate Random Numbers Using the rand() Function in MATLAB
This tutorial will discuss how to generate or create random numbers using the rand(), randi(), randn(), randperm(), betarand(), and random() function in MATLAB.