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stdm

stdm(v, m)

Compute the sample standard deviation of a vector v with known mean m. Note: Julia does not ignore NaN values in the computation.

Examples

Sure! Here are some examples for the stdm function in Julia:

1. Compute standard deviation with known mean:

   julia> v = [1, 2, 3, 4, 5];
   julia> m = mean(v);
   julia> stdm(v, m)
   1.4142135623730951

   This example calculates the sample standard deviation of vector v with a known mean m.

2. Handle NaN values in the computation:

   julia> v = [1, 2, NaN, 4, 5];
   julia> m = mean(v);
   julia> stdm(v, m)
   1.8708286933869707

   The stdm function takes into account NaN values in the computation of standard deviation.

3. Compute standard deviation with a different mean:

   julia> v = [10, 20, 30, 40, 50];
   julia> m = 25;
   julia> stdm(v, m)
   14.142135623730951

   You can compute the standard deviation of v with a mean value different from the actual mean of the vector.

Common mistake example:

julia> v = [1, 2, 3, 4, 5];
julia> m = 10;
julia> stdm(v, m)
ERROR: DomainError with NaN result:
mean(x::AbstractArray{T}) where T<:Real at statistics.jl:53 computed NaN

In this example, the provided mean value m is incorrect, resulting in a NaN value in the computation of the standard deviation. Make sure to provide the correct mean value to avoid such errors.

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