how to calculate the standard deviation of a vector in matlab

To calculate the standard deviation of a vector in Matlab, you can use the built-in std function. Here is an example code snippet:

main.m
% define a vector
vec = [1 2 3 4 5];

% calculate the standard deviation
std_dev = std(vec);
93 chars
6 lines

In this code, we define a vector vec with values [1 2 3 4 5]. We then calculate the standard deviation using the std function and store the result in the variable std_dev.

Note that the std function can also take an optional second argument that specifies the normalization to use. By default, it uses the normalization 1/(N-1), where N is the length of the vector. If you want to use a different normalization, you can specify it like this:

main.m
std_dev = std(vec, 1); % for normalization by N
std_dev = std(vec, 0); % for normalization by N-1 (the default)
112 chars
3 lines

In this case, we specify the normalization 1/N by passing 1 as the second argument to std. Alternatively, we can specify the default normalization 1/(N-1) by passing 0.