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varm

varm(v, m)

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

Examples

1. Calculate sample variance with known mean:

   julia> v = [1, 2, 3, 4, 5];
   julia> m = 3.0;
   julia> varm(v, m)
   2.5

   This example calculates the sample variance of the vector v with a known mean m of 3.0.

2. Handle NaN values:

   julia> v = [1.0, 2.0, NaN, 4.0, 5.0];
   julia> m = 3.0;
   julia> varm(v, m)
   NaN

   The varm function does not ignore NaN values in the computation. If the vector v contains NaN values, the result will be NaN.

3. Calculate variance with integer values:

   julia> v = [10, 20, 30, 40, 50];
   julia> m = 30.0;
   julia> varm(v, m)
   200.0

   The varm function can also be used with integer values. In this example, it calculates the variance of the vector v with a known mean m of 30.0.

Common mistake example:

julia> v = [];
julia> m = 5.0;
julia> varm(v, m)
ERROR: DomainError with NaN result

In this example, the vector v is empty, resulting in a DomainError with a NaN result. Ensure that the vector has at least one element before using the varm function to avoid such errors.

See Also

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