compute weighted moving averages for a data set - Maple Help

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Statistics[WeightedMovingAverage] - compute weighted moving averages for a data set

Calling Sequence

WeightedMovingAverage(X, Y, options)

Parameters

X

-

data set

Y

-

average

options

-

(optional) equation(s) of the form ignore=value; specify options for the WeightedMovingAverage function

Description

• 

The WeightedMovingAverage function computes weighted moving averages for a set of observations. This is a special case of the LinearFilter command.

• 

The first parameter X is a single data sample - given as e.g. a Vector. Each value represents an individual observation.

• 

The second parameter Y is the average - given as e.g. a Vector. Each value represents a average coefficient.

Options

  

The options argument can contain one or more of the options shown below. These options are described in more detail in the Statistics[Mean] help page.

• 

ignore=truefalse -- This option is used to specify how to handle non-numeric data. If ignore is set to true all non-numeric items in data will be ignored.

Examples

withStatistics:

A:=seqsini,i=1..100:

B:=WeightedMovingAverageA,0.3,0.5,0.2:

LineChartA,B

See Also

Statistics, Statistics[DataSmoothing], Statistics[ExponentialSmoothing], Statistics[MovingAverage]


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