FORECAST.ETS.STAT function

The FORECAST.ETS.STAT function in Jspreadsheet Formulas Pro is a useful tool for data analysis. It calculates statistical values using the Exponential Smoothing (ETS) algorithm on a set of time series data. This algorithm takes into account trends and seasonal patterns from historical data to help forecast future values. It is particularly useful for analyzing time series data and identifying underlying patterns.

Documentation

Calculates statistical values for the Exponential Smoothing (ETS) algorithm applied to a time series data set.

Syntax

FORECAST.ETS.STAT(values, timeline, statistic_type, [seasonality], [data_completion], [aggregation])

Parameter	Description
`values`	An array of numerical values representing the historical data points.
`timeline`	An array of dates or numerical values representing the timeline corresponding to the historical data points. It should have the same number of elements as the 'values' parameter.
`statistic_type`	A string specifying the desired statistical measure. Available options include 'alpha', 'beta', 'gamma', 'phi', and 'sigma'.
`[seasonality]`	An optional parameter that specifies the number of data points per season for seasonal data.
`[data_completion]`	An optional parameter (TRUE/FALSE) that determines whether to automatically fill missing data points with the average of neighboring points (TRUE) or treat them as zeros (FALSE).
`[aggregation]`	An optional parameter that specifies the aggregation type to use for the data. Default is 'AVERAGE'.

Behavior

The FORECAST.ETS.STAT function is used to calculate a key statistical value such as alpha (level), beta (trend), gamma (seasonality), phi (damping factor), or sigma (error). from a given forecast. This function expects a series of historical data as input and uses the Exponential Triple Smoothing (ETS) algorithm to compute the statistical value.

The function ignores empty cells and cells containing text or boolean values. It only works with numeric data.
The function will return an error if the input data series is less than two data points.
It can handle non-continuous data (i.e., data with missing periods).
FORECAST.ETS.STAT can also manage seasonality in the data (i.e., patterns that repeat over known, fixed periods of time).
The function works best with data that has a regular pattern.

Common Errors

Error	Description
#N/A	This error is displayed when the timeline or data series is less than two data points, or if the timeline isn’t in a consistent interval.
#VALUE!	This error occurs if the timeline and data series have different lengths or if the statistic_type argument is not a valid string ('alpha', 'beta', 'gamma', 'phi', or 'sigma').
#NUM!	This error is displayed when the damping factor is less than 0 or more than 1, or if the seasonality is less than 0.

Best practices

Always ensure that the timeline and data series have the same length to avoid the #VALUE! error.

Make sure the timeline is in a consistent interval (daily, monthly, yearly, etc.) to prevent the #N/A error.

Use the FORECAST.ETS.STAT function when dealing with data that has a seasonal component, as it can handle seasonality.

Be aware that the function will only work with numeric data, so any text or boolean values should be converted or eliminated from your data set.

Usage

A few examples using the FORECAST.ETS.STAT function.

FORECAST.ETS.STAT(B2:B8, A2:A8, "alpha")  
Returns the alpha smoothing parameter for the dataset in B2:B8 with corresponding timeline in A2:A8.  

FORECAST.ETS.STAT(B2:B13, A2:A13, "gamma", 12, TRUE, "AVERAGE")  
Returns the gamma seasonal smoothing parameter for monthly data (12 months per season), filling missing points automatically and averaging duplicates.

Interactive Spreadsheet Demo

<html>
<script src="https://jspreadsheet.com/v11/jspreadsheet.js"></script>
<script src="https://jsuites.net/v5/jsuites.js"></script>
<link rel="stylesheet" href="https://jsuites.net/v5/jsuites.css" type="text/css" />
<link rel="stylesheet" href="https://jspreadsheet.com/v11/jspreadsheet.css" type="text/css" />

<link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Material+Icons" />
<script src="https://cdn.jsdelivr.net/npm/@jspreadsheet/formula-pro/dist/index.min.js"></script>

<div id="spreadsheet"></div>

<script>
// Set your JSS license key (The following key only works for one day)
jspreadsheet.setLicense('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');

// Set the extensions
jspreadsheet.setExtensions({ formula });

// Create a new spreadsheet
jspreadsheet(document.getElementById('spreadsheet'), {
  worksheets: [{
    data: [
    [
        "Date",
        "Sales",
        "Alpha Parameter"
    ],
    [
        "2023-01-01",
        100
    ],
    [
        "2023-02-01",
        120
    ],
    [
        "2023-03-01",
        95
    ],
    [
        "2023-04-01",
        140
    ],
    [
        "2023-05-01",
        110,
        "=FORECAST.ETS.STAT(B2:B6,A2:A6,\"alpha\")"
    ]
]
  }]
});
</script>
</html>

import React, { useRef } from "react";
import { Spreadsheet, Worksheet, jspreadsheet } from "@jspreadsheet/react";
import formula from "@jspreadsheet/formula-pro";
import "jsuites/dist/jsuites.css";
import "jspreadsheet/dist/jspreadsheet.css";

// Set license
jspreadsheet.setLicense('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');

// Set the extensions
jspreadsheet.setExtensions({ formula });

export default function App() {
    // Spreadsheet array of worksheets
    const spreadsheet = useRef();

    // Worksheet data
    const data = [
    [
        "Date",
        "Sales",
        "Alpha Parameter"
    ],
    [
        "2023-01-01",
        100
    ],
    [
        "2023-02-01",
        120
    ],
    [
        "2023-03-01",
        95
    ],
    [
        "2023-04-01",
        140
    ],
    [
        "2023-05-01",
        110,
        "=FORECAST.ETS.STAT(B2:B6,A2:A6,\"alpha\")"
    ]
];

    // Render component
    return (
        <Spreadsheet ref={spreadsheet}>
            <Worksheet data={data} />
        </Spreadsheet>
    );
}

<template>
    <Spreadsheet ref="spreadsheet">
        <Worksheet :data="data" />
    </Spreadsheet>
</template>

<script>
import { Spreadsheet, Worksheet, jspreadsheet } from "@jspreadsheet/vue";
import "jsuites/dist/jsuites.css";
import "jspreadsheet/dist/jspreadsheet.css";
import formula from "@jspreadsheet/formula-pro";

// Set license
jspreadsheet.setLicense('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');

// Set the extensions
jspreadsheet.setExtensions({ formula });

export default {
    components: {
        Spreadsheet,
        Worksheet,
    },
    data() {
        // Worksheet data
        const data = [
    [
        "Date",
        "Sales",
        "Alpha Parameter"
    ],
    [
        "2023-01-01",
        100
    ],
    [
        "2023-02-01",
        120
    ],
    [
        "2023-03-01",
        95
    ],
    [
        "2023-04-01",
        140
    ],
    [
        "2023-05-01",
        110,
        "=FORECAST.ETS.STAT(B2:B6,A2:A6,\"alpha\")"
    ]
]

        return {
            data
        };
    }
}
</script>

import { Component, ViewChild, ElementRef } from "@angular/core";
import jspreadsheet from "jspreadsheet";
import * as formula from "@jspreadsheet/formula-pro";

// Set your JSS license key (The following key only works for one day)
jspreadsheet.setLicense('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');

// Set the extensions
jspreadsheet.setExtensions({ formula });

@Component({
    standalone: true,
    selector: "app-root",
    template: `<div #spreadsheet></div>`
})
export class AppComponent {
    @ViewChild("spreadsheet") spreadsheet: ElementRef;
    // Worksheets
    worksheets: jspreadsheet.worksheetInstance[];

    // Create a new data grid
    ngAfterViewInit() {
        // Create spreadsheet
        this.worksheets = jspreadsheet(this.spreadsheet.nativeElement, {
            worksheets: [{
                data: [
    [
        "Date",
        "Sales",
        "Alpha Parameter"
    ],
    [
        "2023-01-01",
        100
    ],
    [
        "2023-02-01",
        120
    ],
    [
        "2023-03-01",
        95
    ],
    [
        "2023-04-01",
        140
    ],
    [
        "2023-05-01",
        110,
        "=FORECAST.ETS.STAT(B2:B6,A2:A6,\"alpha\")"
    ]
]
            }]
        });
    }
}

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