Question

我愿用一个专用栏目的数值填写缺失的浏览值。

现有表格:(Measure_Table)

sID	Visit	value_1	value_2	value_3	value_Score	whyMissing
1	1	3	2	5	12
1	2	1	2	5	12
1	3	6	2	5	12
2	1	8	2	5	12
2	2					-30
2	3					-10
3	1	2	2	1	12
3	2	7	8	9	12
3	3					-10

I have been trying to use this syntax, but when I do, it runs but the values from whyMissing do not populate into the other columns. It is important to me to do this with multiple columns because my dataset is larger than what I have shown here.

希望结果表:Outcome_Measure_Table

sID	Visit	value_1	value_2	value_3	value_Score	whyMissing
1	1	3	2	5	12
1	2	1	2	5	12
1	3	6	2	5	12
2	1	8	2	5	12
2	2	-30	-30	-30	-30	-30
2	3	-10	-10	-10	-10	-10
3	1	2	2	1	12
3	2	7	8	9	12
3	3	-10	-10	-10	-10	-10

这是能够运行的辛迪加,但在我向间谍出口时,它不会分散价值。如果说是真的,我就只用填满! 我愿意接受其他使用间谍的做法! 如果我能够利用接口和过去yn子来这样做,那么 later也就能够使用。

我的多变观点认为,这些缺失的价值观中有一些是 lo—— 0. 这样做的方式和方式如何绕过?

DO REPEAT vr=value_1 TO value_Score.
    IF NOT MISSING(whyMissing) vr=whyMissing.
END REPEAT.

Answer 1

总而言之,辛奈应当工作。请检查:

Did you run Execute at the end of the process?
Make sure "whyMissing" is a numeric variable.

如果他们不提供帮助,则试图这样做:

DO REPEAT vr=value_1 TO value_Score.
    IF MISSING(vr) vr=whyMissing.
END REPEAT.
execute.

Answer 2

问题是,特别安全局如何处理缺失的价值观! 非常感谢您对 above的帮助。

*recode the missing values to -9 (or whatever you want) that will be replaced by the whyMissing Variable.
RECODE value_1 TO value_Score (SYSMIS = -9). 

*create a list of variables you want to change. Then run if whyMissing has an error code, replace that variable.

do repeat vr=value_1 to value_Score.
  if whyMissing<0 vr=whyMissing.
end repeat.
EXECUTE.

sID	Visit	value_1	value_2	value_3	value_Score	whyMissing
1	1	3	2	5	12
1	2	1	2	5	12
1	3	6	2	5	12
2	1	8	2	5	12
2	2	-30	-30	-30	-30	-30
2	3	-10	-10	-10	-10	-10
3	1	2	2	1	12
3	2	7	8	9	12
3	3	-10	-10	-10	-10	-10

sID	Visit	value_1	value_2	value_3	value_Score	whyMissing
1	1	3	2	5	12
1	2	1	2	5	12
1	3	6	2	5	12
2	1	8	2	5	12
2	2	-30	-30	-30	-30	-30
2	3	-10	-10	-10	-10	-10
3	1	2	2	1	12
3	2	7	8	9	12
3	3	-10	-10	-10	-10	-10

友情链接

sID	Visit	value_1	value_2	value_3	value_Score	whyMissing
1	1	3	2	5	12
1	2	1	2	5	12
1	3	6	2	5	12
2	1	8	2	5	12
2	2	-30	-30	-30	-30	-30
2	3	-10	-10	-10	-10	-10
3	1	2	2	1	12
3	2	7	8	9	12
3	3	-10	-10	-10	-10	-10