Cumulative Moving Average

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Cumulative Moving Average Returns the Cumulative Moving Average of a time series. That is, each point is replaced by the average of itself and all the points proceeding it. This can be used to smooth a time series. Table of Contents Input Outputs Algorithm Console Input data: Double[]
 [1,2,3,4,3,4,6,7,5,4,2,1,1]
 data - (required) - Takes a uniformly spaced timeseries dataset as an input (IE: dx(0) == dx(n) ) Outputs output: Double[]
 [
 1,
 1.5,
 2,
 2.5,
 2.6,
 2.8333333333333335,
 3.2857142857142856,
 3.75,
 3.888888888888889,
 3.9,
 3.727272727272727,
 3.5,
 3.3076923076923075
]
 output - The uniformly spaced Y coordinate datapoints that create the Cumulative Moving Average.

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1. Type your input

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3. Use this algorithm

curl -X POST -d '{{input | formatInput:"curl"}}' -H 'Content-Type: application/json' -H 'Authorization: Simple YOUR_API_KEY' https://api.algorithmia.com/v1/algo/TimeSeries/CumulativeMovingAverage/0.1.0
View cURL Docs
algo auth
# Enter API Key: YOUR_API_KEY
algo run algo://TimeSeries/CumulativeMovingAverage/0.1.0 -d '{{input | formatInput:"cli"}}'
View CLI Docs
import com.algorithmia.*;
import com.algorithmia.algo.*;

String input = "{{input | formatInput:"java"}}";
AlgorithmiaClient client = Algorithmia.client("YOUR_API_KEY");
Algorithm algo = client.algo("algo://TimeSeries/CumulativeMovingAverage/0.1.0");
AlgoResponse result = algo.pipeJson(input);
System.out.println(result.asJsonString());
View Java Docs
import com.algorithmia._
import com.algorithmia.algo._

val input = {{input | formatInput:"scala"}}
val client = Algorithmia.client("YOUR_API_KEY")
val algo = client.algo("algo://TimeSeries/CumulativeMovingAverage/0.1.0")
val result = algo.pipeJson(input)
System.out.println(result.asJsonString)
View Scala Docs
var input = {{input | formatInput:"javascript"}};
Algorithmia.client("YOUR_API_KEY")
           .algo("algo://TimeSeries/CumulativeMovingAverage/0.1.0")
           .pipe(input)
           .then(function(output) {
             console.log(output);
           });
View Javascript Docs
var input = {{input | formatInput:"javascript"}};
Algorithmia.client("YOUR_API_KEY")
           .algo("algo://TimeSeries/CumulativeMovingAverage/0.1.0")
           .pipe(input)
           .then(function(response) {
             console.log(response.get());
           });
View NodeJS Docs
import Algorithmia

input = {{input | formatInput:"python"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('TimeSeries/CumulativeMovingAverage/0.1.0')
print algo.pipe(input)
View Python Docs
library(algorithmia)

input <- {{input | formatInput:"r"}}
client <- getAlgorithmiaClient("YOUR_API_KEY")
algo <- client$algo("TimeSeries/CumulativeMovingAverage/0.1.0")
result <- algo$pipe(input)$result
print(result)
View R Docs
require 'algorithmia'

input = {{input | formatInput:"ruby"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('TimeSeries/CumulativeMovingAverage/0.1.0')
puts algo.pipe(input).result
View Ruby Docs
use algorithmia::*;

let input = {{input | formatInput:"rust"}};
let client = Algorithmia::client("YOUR_API_KEY");
let algo = client.algo('TimeSeries/CumulativeMovingAverage/0.1.0');
let response = algo.pipe(input);
View Rust Docs
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