Pls Explain Mixed costing to do config

Hi Experts,
Can u give config doc or steps how to do mixed costing - to do Standard Cost estimate

HI,
see
http://help.sap.com/saphelp_erp60/helpdata/en/7e/cb938143a311d189ee0000e81ddfac/frameset.htm
Mixed Costing.
BR Christian

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    Check the link for more info:
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                   count(distinct ce.value1) over (partition by ci.itemid) > 0 OR
                   count(distinct ce.value1num) over (partition by ci.itemid) > 0
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                   count(distinct ce.value2num) over (partition by ci.itemid) > 0
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                                      ROWS BETWEEN UNBOUNDED PRECEDING AND
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                          count(distinct ce.value1uom)
                            over (partition by ci.itemid)
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              case
                when ci.value_column in ('value1', 'both') then
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                                over (partition by ci.itemid
                                      order by ce.value1uom nulls last
                                      ROWS BETWEEN UNBOUNDED PRECEDING AND
                                      UNBOUNDED FOLLOWING)
                           ) is null then
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                      else
                          'N'
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                else
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                       order by ce.charttime ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) as value1_uom_sample1,
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                       order by ce.charttime ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) as value1_uom_sample2,
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                when ci.value_column in ('value1', 'both') then
                    case
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                                over (partition by ci.itemid
                                      order by ce.value1 nulls last
                                      ROWS BETWEEN UNBOUNDED PRECEDING AND
                                      UNBOUNDED FOLLOWING)
                           ) is null then
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                            over (partition by ci.itemid) + 1
                      else
                          count(distinct ce.value1)
                            over (partition by ci.itemid)
                    end
                else
                    0
              end as value1_distinct_num,
              case
                when ci.value_column in ('value1', 'both') then
                    case
                      when (last_value(ce.value1)
                                over (partition by ci.itemid
                                      order by ce.value1 nulls last
                                      ROWS BETWEEN UNBOUNDED PRECEDING AND
                                      UNBOUNDED FOLLOWING)
                           ) is null then
                          'Y'
                      else
                          'N'
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                else
                    null
              end as value1_has_nulls,
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                       order by ce.charttime ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) as value1_sample1,
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                       order by ce.charttime ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) as value1_sample2,
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                 over (partition by ci.itemid) as value1_length_min,
             max(length(ce.value1))
                 over (partition by ci.itemid) as value1_length_max,
             avg(length(ce.value1))
                 over (partition by ci.itemid) as value1_length_mean,
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                 over (partition by ci.itemid) as value1num_min,
             max(ce.value1num)
                 over (partition by ci.itemid) as value1num_max,
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                 over (partition by ci.itemid) as value1num_mean,
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                 over (partition by ci.itemid) as value1num_stddev,
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                when ci.value_column in ('value2', 'both') then
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                                over (partition by ci.itemid
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                                      ROWS BETWEEN UNBOUNDED PRECEDING AND
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                          count(distinct ce.value2uom)
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                                      order by ce.value2uom nulls last
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                                      order by ce.value2 nulls last
                                      ROWS BETWEEN UNBOUNDED PRECEDING AND
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                                over (partition by ci.itemid
                                      order by ce.value2 nulls last
                                      ROWS BETWEEN UNBOUNDED PRECEDING AND
                                      UNBOUNDED FOLLOWING)
                           ) is null then
                          'Y'
                      else
                          'N'
                    end
                else
                    null
              end as value2_has_nulls,
             first_value(ce.value2)
                 over (partition by ci.itemid
                       order by ce.charttime ROWS BETWEEN  UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) as value2_sample1,
             last_value(ce.value2)
                 over (partition by ci.itemid
                       order by ce.charttime ROWS BETWEEN  UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) as value2_sample2,
             min(length(ce.value2))
                 over (partition by ci.itemid) as value2_length_min,
             max(length(ce.value2))
                 over (partition by ci.itemid) as value2_length_max,
             avg(length(ce.value2))
                 over (partition by ci.itemid) as value2_length_mean,
             min(ce.value2num)
                 over (partition by ci.itemid) as value2num_min,
             max(ce.value2num)
                 over (partition by ci.itemid) as value2num_max,
             avg(ce.value2num)
                 over (partition by ci.itemid) as value2num_mean,
             stddev(ce.value2num)
                 over (partition by ci.itemid) as value2num_stddev
        from ChartItems ci,
             events ce
       where ce.itemid = ci.itemid
    --   order by ci.itemid, ci.label
    select label, trim(lower(label)) label_lower, itemid, category, description,
           value_type, value_column,
           rows_num, subjects_num,
           round(chart_vs_realtime_delay_mean, 2) as chart_vs_realtime_delay_mean,
           round(chart_vs_realtime_delay_stddev, 2) as chart_vs_realtime_delay_stddev,
           value1_uom_num, value1_uom_has_nulls,
           value1_uom_sample1, value1_uom_sample2,
           value1_distinct_num, value1_has_nulls,
           value1_sample1, value1_sample2,
           value1_length_min, value1_length_max,
           round(value1_length_mean, 2) as value1_length_mean,
           round(value1num_min, 2) as value1num_min,
           round(value1num_max, 2) as value1num_max,
           round(value1num_mean, 2) as value1num_mean,
           round(value1num_stddev, 2) as value1num_stddev,
           value2_uom_num, value2_uom_has_nulls,
           value2_uom_sample1, value2_uom_sample2,
           value2_distinct_num, value2_has_nulls,
           value2_sample1, value2_sample2,
           value2_length_min, value2_length_max,
           round(value2_length_mean, 2) as value2_length_mean,
           round(value2num_min, 2) as value2num_min,
           round(value2num_max, 2) as value2num_max,
           round(value2num_mean, 2) as value2num_mean,
           round(value2num_stddev, 2) as value2num_stddev
      from RawData
    order by label, itemid;

  • Pls explain me the use and purpose of following Function modules

    pls explain me the use and purpose of following Function modules
    1. G_MAX_PERIOD_AND_OFFSET_GET
    2.  DEQUEUE_E_TABLE
    3. FI_COMPANY_CODE_CHECK
    4. G_PERIOD_GET
    5. alv_display_function
    6. G_SET_GET_ID_FROM_NAME
    thanks ,
    phyrose

    1. <b>G_MAX_PERIOD_AND_OFFSET_GET</b>
    For given No. of period & periods it gives the offset
    <b>2. DEQUEUE_E_TABLE</b>
    To Unlock the table records
    <b>3. FI_COMPANY_CODE_CHECK</b>
    To validate Company Code
    <b>
    4. G_PERIOD_GET</b>
    Returns no. of Posting period & Special period for give company code, posting date & ledger
    <b>5. alv_display_function</b> -
    No such FM exists
    <b>
    6. G_SET_GET_ID_FROM_NAME -</b> Use this module to derive the internal set Id from the name that appears on the user interface, for example, in order then to import the set (see the function group documentation).
    The function module first determines a candidate list of sets based on the set name and the class that might have been specified that could match the set name. The class can also be masked (e.g. 000+ for all FI-SL sets, including dynamic sets).

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