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32 lines
1.0 KiB
Markdown
32 lines
1.0 KiB
Markdown
# Function std
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Compute the standard deviation of a list of values, defined as the
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square root of the variance: std(A) = sqrt(var(A)).
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In case of a (multi dimensional) array or matrix, the standard deviation
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over all elements will be calculated.
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std(a, b, c, ...)
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std(A)
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std(A, normalization)
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Where `normalization` is a string having one of the following values:
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### Parameters
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Parameter | Type | Description
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--------- | ---- | -----------
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`array` | Array | Matrix | A single matrix or or multiple scalar values
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`normalization` | String | Default value: 'unbiased' Determines how to normalize the standard deviation: - 'unbiased' (default) The sum of squared errors is divided by (n - 1) - 'uncorrected' The sum of squared errors is divided by n - 'biased' The sum of squared errors is divided by (n + 1)
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### Returns
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Type | Description
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---- | -----------
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* | res
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<!-- Note: This file is automatically generated from source code comments. Changes made in this file will be overridden. -->
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