Calculating average of selected values

Hello all,
I would like to put the following question in relation to bex queries:
We have a condition in our query to select the 5 top values and the 5 bottom ones. But there are 33 values. When we calculate the average value (result of the query), we can do it in a way the query displays the average of those 10 values displayed. But innerly the average value stored is the average of the 33 values (all) and in SEM that's the value we see (not the average of the 10 values selected.)
And now, the question:
Is there a possibility to obtain from SEM the average of the 10 values displayed?
Thank you very much,
Carlos Hinestrosa

Hi Nick,
Petri Net Method
Researchers of Petri Nets from 1962 to about 1990 developed the main ideas (including the basic graphics notations) of the “thought process” I used. One of the literature I read on Petri Nets is the textbook (except for the chapters on Grafcet),
David and Alla (1992). Petri Nets and Grafcet: Tools for Modeling Discrete Event Systems. New York: Prentice Hall.
If you want to research the topic on your own, there is a bibliography on Petri Nets.
Missed Requirement
It occurred to me that we missed the possibility that a user can select a non-zero value given that a non-zero value is currently selected (T14 – T19) for each of the six fields. Here is the diagram with this requirement.
Since we agree on the general interpretation of the diagram, I am combining several graphics to create a new, more concise diagram. Of course, this is a cryptic diagram to someone who do not agree with the earlier diagram.
Additional Requirement
We can also include the cumulative sum of the non-zero values selected by the user (P8), similar to the cumulative number of non-zero values selected (P6). In this case, a document-level variable for the cumulative sum should be defined, and updated along with counter. When the computation for the average is needed, the cumulative sum is already available and the average is computed by dividing the cumulative sum by the number of non-zero values selectes: m(P8) / m(P6) .
If we do this, we would have done something very interesting: there are no for-loops in the code.
Regards,
John

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Hello all,
I have created a query with different duration days as key figures. The result row is displayed for the main characteristic and in the key figures I have select "Average of all values".
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http://www.NetWeaverTeam.com

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Hi ...
I've get stuck with a "little" problem.
I try to provide some testing code for this:
CREATE TABLE a1 (
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 title VARCHAR2(16),
 CONSTRAINT test_pk PRIMARY KEY(id)
INERT INTO a1 (id, val, title) VALUES (1,12,'c');
INERT INTO a1 (id, val, title) VALUES (2,13,'b');
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 count(*) -- just an example
FROM
 a1
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-- should return 1,3,3 (for the groups val=12, val=13,val=42)Now it is nessecary to select a title for each group (specified by group by). And there the title which occurs the most in this group should be selected. For this example this are 'c' for the group val=12 .. 'a' for the group val=13 and finally 'b' for the group val=42.
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title OVER ( ORDER BY count(*) ROWS | RANGE BETWEEN 1 AND 1 ) <-- that would by logical for my brain, but not for oracles ;-)
Can somebody help?
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Hi folks,
thanks for the variuos answers! Weekend is over, so we should work on ...
I tried some examples you gave me. And I decide to provide more detailes information! At first, if the amount of 'a' and 'b' is equal it doesn't matter which one will be returned (so it can be undefined, if that makes thing easier). I will now paste the original query I work with and I add some comments for you - so you can find the lines which should be changed to return the most occurances-value.
If you think it makes sense to Provide some create-table ddl an (maybe as csv file) some data, tell me how i can do that (I think its not an option to post ~ Mio rows as Inserts here).
The select-query I want to manipulate - this is no more related to our test-table 'a1' !! For Example let us look on the rows where 'A' and 'drm_' is selected - starts at line 7!
SELECT
box_id,
schedule_id,
fixsecs_down(MIN(acqtime),600),
COUNT(*), -- each row in rfm_meas_hr represents one frame of measuremnt-data, so this represents the number of frames received in this block
-- instead of 'A' the most occurance of the col 'rpro' should be selected here
'A',
-- like above, but from the column 'rdmo'
'drm_',
-- below this some other cols are calculated/selected, not important here
FLOOR(MEDIAN(rfre)),
ROUND(AVG(rdbv),2),
ROUND(SUM(POWER(rdbv,2)),2),
ROUND(MAX(rdbv),2),
ROUND(MIN(rdbv),2),
ROUND(SUM(rsnr)/SUM(nframes),2),
ROUND(SUM(POWER(rsnr,2)),2),
ROUND(MAX(rsnr),2),
ROUND(MIN(rsnr),2),
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ROUND(SUM(POWER(rsta_sync,2)),2), -- rsta_sync_s
ROUND( MIN(rsta_sync),2), -- rsta_sync_min
ROUND( MAX(rsta_sync),2), -- rsta_sync_max
ROUND( AVG(rsta_fac),2), -- rsta_facc
ROUND(SUM(POWER(rsta_fac,2)),2), -- rsta_fac_s
ROUND( MIN(rsta_fac),2), -- rsta_fac_min
ROUND( MAX(rsta_fac),2), -- rsta_fac_max
ROUND( AVG(rsta_sdc),2), -- rsta_sdc
ROUND(SUM(POWER(rsta_sdc,2)),2), -- rsta_sdc_s
ROUND( MIN(rsta_sdc),2), -- rsta_sdc_min
ROUND( MAX(rsta_sdc),2), -- rsta_sdc_max
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ROUND(SUM(POWER(rsta_audio,2)),2), -- rsta_audio_s
ROUND( MIN(rsta_audio),2), -- rsta_audio_min
ROUND( MAX(rsta_audio),2), -- rsta_audio_max
MIN(rser), TODO: most occurances
MIN(rtty_stream0), -- TODO: most occurances
MIN(rtty_stream1), -- TODO: most occurances
MIN(rtty_stream2), -- TODO: most occurances
MIN(rtty_stream3), -- TODO: most occurances
ROUND(AVG(NVL(rafs_error/nullif(rafs_au,0),1))*SUM(rafs_au)/NULLIF(SUM(rafs_au),0),2), -- rafs
ROUND( SUM( POWER( NVL(rafs_error/nullif(rafs_au,0),1),2))*SUM(rafs_au)/NULLIF(SUM(rafs_au),0) ,2), -- rafs_s
ROUND(MIN(rafs_error/ NULLIF(rafs_au,0)),2), -- rafs_min
ROUND(MAX(NVL(rafs_error/NULLIF(rafs_au,0),1) )*SUM(rafs_au)/NULLIF(SUM(rafs_au),0),2), -- rafs_max
SUM(robm_A),
SUM(robm_B),
SUM(robm_C),
SUM(robm_D),
SUM(robm_E),
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ROUND(SUM(POWER(rwmf,2)),2), -- rwmf_s
ROUND(MIN(rwmf),2), -- rwmf_min
ROUND(MAX(rwmf),2), -- rwmf_max
ROUND(SUM(rwmm) / SUM(nframes),2), -- rwmm
ROUND(SUM(POWER(rwmm,2)),2), -- rwmm_s
ROUND(MIN(rwmm),2), -- rwmm_min
ROUND(MAX(rwmm),2), -- rwmm_max
ROUND(SUM(rmer) / SUM(nframes),2), -- rmer
ROUND(SUM(POWER(rmer,2)),2), -- rmer_s
ROUND(MIN(rmer),2), -- rmer_min
ROUND(MAX(rmer),2), -- rmer_max
ROUND(SUM(RBP0_ERRS+ RBP1_ERRS+ RBP2_ERRS+ RBP3_ERRS) / NULLIF(SUM(RBP0_BITS+ RBP1_BITS+ RBP2_BITS+ RBP3_BITS),0) ,10), -- ber
ROUND(SUM(POWER( (RBP0_ERRS+ RBP1_ERRS+ RBP2_ERRS+ RBP3_ERRS) / NULLIF((RBP0_BITS+ RBP1_BITS+ RBP2_BITS+ RBP3_BITS),0) ,2)),10), -- ber_s
ROUND(MIN(RBP0_ERRS+ RBP1_ERRS+ RBP2_ERRS+ RBP3_ERRS) / NULLIF(MIN(RBP0_BITS+ RBP1_BITS+ RBP2_BITS+ RBP3_BITS),0) ,10), -- ber_min
ROUND(MAX(RBP0_ERRS+ RBP1_ERRS+ RBP2_ERRS+ RBP3_ERRS) / NULLIF(MAX(RBP0_BITS+ RBP1_BITS+ RBP2_BITS+ RBP3_BITS),0) ,10), -- ber_max
ROUND(AVG(rdop),2), -- rdop
ROUND(SUM(POWER(rdop,2) ),2), -- rdop_s
ROUND(MIN(rdop),2), -- rdop_min
ROUND(MAX(rdop),2), -- rdop_max
ROUND(AVG(rdel90),2), -- rdel90
ROUND(SUM(POWER(rdel90,2) ),2), -- rdel90_s
ROUND(MIN(rdel90),2), -- rdel90_min
ROUND(MAX(rdel90),2), -- rdel90_max
ROUND(AVG(rdel95),2), -- rdel95
ROUND(AVG(rdel99),2), -- rdel99
null AS reslevel
FROM
-- select the data where this should be calculated
 SELECT
 FROM
 rfm_meas_hr
 WHERE
 acqtime < fixsecs_down(to_timestamp('07-01-2011 14:00:00,00','dd-mm-yyyy hh24:mi:ss,ff'),600)
 AND (reslevel IS NULL OR reslevel=10)
-- group the selected data and executes the calculation given by SELECT-statement
GROUP BY
-- group the data into 10min packages, indicated by its timestamp
to_char( EXTRACT(MONTH FROM acqtime)*100000 + EXTRACT(DAY FROM acqtime)*1000 + EXTRACT(HOUR FROM acqtime)*10 + floor(EXTRACT(MINUTE FROM acqtime)/10) ),
schedule_id,
box_id
HAVING
SUM(nframes)>15
;I chould say: I can add indexes if nessecary! At the moment there is one on (acqtime, reslevel) as this improves the access speed. But the query above, executed on typical data already takes 5-7 sec.
Please let me know if you need any more information.
Regards!

Exception Aggregation (Average) displaying incorrect values after EHP1 Upgr

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ADF Get selected values from Dynamic Lists

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Hi!
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Calculating average of selected values

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