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Update statistics integration with mean_circular (#28682)

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Co-authored-by: Thomas Dietrich <Thomas@Nurzen.de>
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enzo2 2023-10-07 07:51:55 -04:00 committed by GitHub
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@ -52,6 +52,7 @@ The following are supported for `sensor` source sensors `state_characteristic`:
| `distance_99_percent_of_values` | A statistical indicator derived from the standard deviation of an assumed normal distribution. 99% of all stored values fall into a range of returned size.
| `distance_absolute` | The difference or "spread" between the extreme values of measurements. Equals `value_max` minus `value_min`.
| `mean` | The average value computed for all measurements. Be aware that this does not take into account uneven time intervals between measurements.
| `mean_circular` | The [circular mean](https://en.wikipedia.org/wiki/Circular_mean) for angular measurements (_e.g._ wind direction). Assumes that measurements are expressed in degrees (_e.g._, 180° or -90°), and outputs the mean in positive degrees (0-360°).
| `median` | The [median](https://en.wikipedia.org/wiki/Mode_(statistics)#Comparison_of_mean,_median_and_mode) value computed for all measurements.
| `noisiness` | A simplified version of a signal-to-noise ratio. A high value indicates a quickly changing source sensor value, a small value will be seen for a steady source sensor. The absolute change between subsequent source sensor measurement values is summed up and divided by the number of intervals.
| `percentile` | [Percentiles](https://en.wikipedia.org/wiki/Percentile) divide the range of a distribution of all considered source sensor measurements into 100 continuous intervals of equal probability. The characteristic calculates the value for which a given percentage of source sensor measurements are smaller in value. The 20th percentile is the value below which 20 percent of the measurements may be found. The additional configuration parameters `percentile` is needed, see below.