Standard Deviation Series Function
The Standard Deviation series function is used to calculate the standard
deviations of the data in the source series. This
series function takes one or multiple source series. If only one source series
is provided, all data in the value
component of the destination series will be assigned with the standard
deviation of the
values in the function domain of the
value component of the source series. If multiple source series are provided,
each value in the value component of the destination series is the standard
deviation of the
corresponding data in the value components of the individual source series.
Two types of standard deviations are supported: population standard deviation
and sample standard deviation. The user can select the type of standard
deviation on the Standard Deviation tab-page of the Series Function
dialog box.
A population standard deviation is calculated using
A
sample deviation is calculated using
If multiple source series are provided but their position
components contain incompatible data (e.g. the first contains 1, 2, 4, 5 and
the second contains 1, 2, 3, 5), DataScene will first use cubic-spline interpolation
to generate compatible position and value components for the source series
and then calculate the standard deviations.
See Also
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