如何通过索引平均多个值对之间的差异

时间:2017-01-24 13:29:59

标签: excel excel-formula

感谢您的帮助!没有辅助列/行,我试图找出患者第一次和最后一次就诊时LVEDi的平均差异。

例如,您可以手工完成:

(diff for patient a + diff for pt b + diff for pt c)/3 = 
((55-45) + (40-31) + (25-31))/3 = 
(10 + 9 + (-6))/3 =
13/3 =
4.333

我确定答案涉及使用数组函数进行索引,但我无法开始解决它的问题!

任何帮助?

谢谢!

      A          | B      | C          | D      | E
 01   Patient ID | Date   | First-Last | LVEDi  | LOTS of similar cols
 02   a          | 3/3/03 | LAST       | 55
 03   a          | 1/1/01 | FIRST      | 45
 04   a          | 2/2/02 |            | 65
 05   b          |        |            | 
 06   b          | 3/2/16 | LAST       | 40
 07   b          |        |            | 
 08   b          |        |            | 
 09   b          | 2/1/12 | FIRST      | 31
 10   c          | 1/7/14 | LAST       | 25
 11   c          |        |            | 
 12   c          | 2/2/03 | FIRST      | 31
 13   c          | 2/2/08 |            | 46

2 个答案:

答案 0 :(得分:1)

您可以在数组中使用* as和AND条件,因此使用MATCH搜索实例,其中两个条件相乘均为TRUE(即{{ 1}})。其余的只是填写你的计算:

1

请记得使用{=((INDEX(D2:D13,MATCH(1,(A2:A13="a")*(C2:C13="LAST"),0))-INDEX(D2:D13,MATCH(1,(A2:A13="a")*(C2:C13="FIRST"),0)))+(INDEX(D2:D13,MATCH(1,(A2:A13="b")*(C2:C13="LAST"),0))-INDEX(D2:D13,MATCH(1,(A2:A13="b")*(C2:C13="FIRST"),0)))+(INDEX(D2:D13,MATCH(1,(A2:A13="c")*(C2:C13="LAST"),0))-INDEX(D2:D13,MATCH(1,(A2:A13="c")*(C2:C13="FIRST"),0))))/3} + CTRL + SHIFT输入数组。

答案 1 :(得分:1)

找到一个稍微冗长的方法:

query = """
    SELECT catalog_product_entity.sku
    FROM catalog_product_entity
        INNER JOIN catalog_product_entity_decimal ON catalog_product_entity_decimal.entity_id = catalog_product_entity.entity_id
            INNER JOIN catalog_product_entity_int ON catalog_product_entity_int.entity_id = catalog_product_entity.entity_id 
    WHERE catalog_product_entity.sku IS NOT NULL 
          AND catalog_product_entity_int.attribute_id = '84'
"""

enter image description here

编辑1

以卢卡斯的评论为基础:

=SUM(SUMIFS(D:D,C:C,"LAST",A:A,{"a","b","c"})-SUMIFS(D:D,C:C,"FIRST",A:A,{"a","b","c"}))/3

enter image description here