Applies a moving n-term maximum (highest number) to an input data set. Each term in the set is replaced by a trailing maximum of n terms, and the first terms (the n-1 terms) are copies of the input data. @MOVMAX modifies a data set for smoothing purposes.
@MOVMAX (mbrName [, n [, XrangeList]])
mbrName | Any valid single member name or member combination, or a function that returns a single member or member combination. |
n | Optional. A positive integer value that represents the number of values that are used to calculate the moving maximum. The default is 3. |
XrangeList | Optional. A valid member name, a comma-delimited list of member names, member set functions, and range functions. If XrangeList is not specified, Analytic Services uses the level 0 members from the dimension tagged as Time. |
Trailing Maximum Centered Maximum 1 2 3 1 2 3 3 3
#MISSING
values. For example, if one value out of four is #MISSING
,
@MOVMAX calculates the maximum of the remaining three values. The following example is based on the Sample Basic database. Assume that the Measures dimension contains an additional member, Mov Max.
"Mov Max" = @MOVMAX(Sales,3,Jan:Jun);
In this example, the @MOVMAX function smooths sales data for the first six months of the year (Jan through Jun). The results of @MOVMAX can be used with the @TREND function to forecast maximum sales data for a holiday season (for example, October - December).
This example produces the following report:
Root Beer New York Actual Sales Mov Max ===== ======= Jan 551 551 Feb 641 641 Mar 586 641 Apr 630 641 May 612 630 Jun 747 747
In this example, Analytic Services uses three values at a time to calculate the moving maximum. The first two values (Jan,Feb) for Mov Max and the first two values for Sales are the same. The value for Mar represents the trailing maximum of Jan, Feb, and Mar. The value for Apr represents the trailing maximum of Feb, Mar, and Apr. The remaining values represent the trailing maximum for each group of three values.
@MOVAVG
@MOVMED
@MOVMIN
@MOVSUM
@MOVSUMX
@TREND
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