From 94bf2c5cae6df1e7c6083f5ff6c9c1e43ee4043b Mon Sep 17 00:00:00 2001
From: Scott Anderson <scott@influxdata.com>
Date: Mon, 15 Jul 2019 08:57:32 -0600
Subject: [PATCH] updated exponentialMovingAverage to address PR feedback
---
.../aggregates/exponentialmovingaverage.md | 15 ++++-----------
1 file changed, 4 insertions(+), 11 deletions(-)
diff --git a/content/v2.0/reference/flux/functions/built-in/transformations/aggregates/exponentialmovingaverage.md b/content/v2.0/reference/flux/functions/built-in/transformations/aggregates/exponentialmovingaverage.md
index db888b171..da132b4ab 100644
--- a/content/v2.0/reference/flux/functions/built-in/transformations/aggregates/exponentialmovingaverage.md
+++ b/content/v2.0/reference/flux/functions/built-in/transformations/aggregates/exponentialmovingaverage.md
@@ -2,7 +2,7 @@
title: exponentialMovingAverage() function
description: >
The `exponentialMovingAverage()` function calculates the exponential moving average
- of values grouped into `n` number of points giving more weight to recent data.
+ of values grouped into `n` number of points, giving more weight to recent data.
menu:
v2_0_ref:
name: exponentialMovingAverage
@@ -15,7 +15,7 @@ related:
---
The `exponentialMovingAverage()` function calculates the exponential moving average
-of values grouped into `n` number of points giving more weight to recent data.
+of values grouped into `n` number of points, giving more weight to recent data.
_**Function type:** Aggregate_
@@ -28,11 +28,11 @@ exponentialMovingAverage(
##### Exponential moving average rules:
- The first value of an exponential moving average over `n` values is the
- algebraic mean of the first `n` values.
+ algebraic mean of `n` values.
- Subsequent values are calculated as `y(t) = x(t) * k + y(t-1) * (1 - k)`, where:
- - `k = 2 / (1 + n)`.
- `y(t)` is the exponential moving average at time `t`.
- `x(t)` is the value at time `t`.
+ - `k = 2 / (1 + n)`.
- The average over a period populated by only `null` values is `null`.
- Exponential moving averages skip `null` values.
@@ -57,13 +57,6 @@ from(bucket: "example-bucket"):
|> exponentialMovingAverage(n: 5)
```
-#### Calculate a ten point exponential moving average
-```js
-from(bucket: "example-bucket"):
- |> range(start: -12h)
- |> exponentialMovingAverage(n: 10)
-```
-
#### Table transformation with a two point exponential moving average
###### Input table: