FORECAST_ETS_STAT

function FORECAST_ETS_STAT(
  arg1: ApiRange | number[] = null,
  arg2: ApiRange = null,
  arg3: StatisticType = null,
  arg4: number = null,
  arg5: number = null,
  arg6: Aggregation = null,
): number

Description

Returns the requested statistic for the forecast.

Parameters

arg1ApiRange | number[]default: null

A range or an array of numeric data that determines the historical values for which a new point will be predicted.

arg2ApiRangedefault: null

A range of date/time values that correspond to the historical values. The timeline range must be of the same size as the second argument. Date/time values must have a constant step between them and can't be zero.

arg3StatisticTypedefault: null

A number between 1 and 8, indicating which statistic will be returned for the calculated forecast.

arg4numberdefault: null

An optional numeric value that specifies the length of the seasonal pattern. The default value of 1 indicates seasonality is detected automatically. The 0 value means no seasonality.

arg5numberdefault: null

An optional numeric value to handle missing values. The default value of 1 replaces missing values by interpolation, and 0 replaces them with zeros.

arg6Aggregationdefault: null

An optional numeric value to aggregate multiple values with the same time stamp.

Returns

number

Try It

var oWorksheet = Api.GetActiveSheet();
var oFunction = Api.GetWorksheetFunction();
var dates = ["10/1/2017", "11/1/2017", "12/1/2017", "1/1/2018", "2/1/2018"];
var numbers = [12558, 14356, 16345, 18678, 14227];

for (var i = 0; i < dates.length; i++) {
   oWorksheet.GetRange("A" + (i + 1)).SetValue(dates[i]);
}
for (var j = 0; j < numbers.length; j++) {
   oWorksheet.GetRange("B" + (j + 1)).SetValue(numbers[j]);
}

var oRange1 = oWorksheet.GetRange("B1:B5");
var oRange2 = oWorksheet.GetRange("A1:A5");
oWorksheet.GetRange("B6").SetValue(oFunction.FORECAST_ETS_STAT(oRange1, oRange2, 4));

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