upated holtWinters doc to address PR feedback
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@ -36,24 +36,25 @@ values six minutes apart.
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#### Seasonality
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[`seasonality`](#seasonality) delimits the length of a seasonal pattern according to `interval`.
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If your `interval` is `2m` and `s` is `3`, then the seasonal pattern occurs every
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six minutes or every three data points.
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If there is no seasonality in the data, set `seasonality` to `0`.
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If your `interval` is `2m` and `seasonality` is `4`, then the seasonal pattern occurs every
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eight minutes or every four data points.
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If data doesn't have a seasonal pattern, set `seasonality` to `0`.
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#### Space values evenly in time
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`holtWinters()` expects values evenly spaced in time.
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To ensure this, it applies the following rules:
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To ensure `holtWinters()` values are spaced evenly in time, the following rules apply:
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- `interval` is used to divide the into buckets based time.
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- Data is grouped into time-based "buckets" determined by the `interval`.
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- If a bucket includes many values, the first value is used.
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- If a bucket includes no values, a missing value (`null`) is added for that bucket.
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By default, `holtWinters()` uses the first value in each time bucket.
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Use [`window()`](/v2.0/reference/flux/functions/built-in/transformations/window/)
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and [selectors](/v2.0/reference/flux/functions/built-in/transformations/selectors/)
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or [aggregates](/v2.0/reference/flux/functions/built-in/transformations/aggregates/),
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or use [`aggregateWindow()`](/v2.0/reference/flux/functions/built-in/transformations/aggregates/aggregatewindow)
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to specify other values to use in the `holtWinters()` calculation.
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By default, `holtWinters()` uses the first value in each time bucket to run the Holt-Winters calculation.
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To specify other values to use in the calculation, use:
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- [`window()`](/v2.0/reference/flux/functions/built-in/transformations/window/)
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with [selectors](/v2.0/reference/flux/functions/built-in/transformations/selectors/)
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or [aggregates](/v2.0/reference/flux/functions/built-in/transformations/aggregates/)
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- [`aggregateWindow()`](/v2.0/reference/flux/functions/built-in/transformations/aggregates/aggregatewindow)
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#### Fitted model
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The `holtWinters()` function applies the [Nelder-Mead optimization](https://en.wikipedia.org/wiki/Nelder%E2%80%93Mead_method)
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@ -65,7 +66,6 @@ to include "fitted" data points in results when [`withFit`](#withfit) is set to
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#### Null values
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`holtWinters()` treats `null` values as missing data points and includes them in the Holt-Winters calculation.
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## Parameters
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### n
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