自定义输出表以包含缺少的变量 [英] Customize Output Table to Include Missing Variable
问题描述
我试图更新表数据,而不必重新执行表shell和相应的公式。然而,对于时间序列,我有6个参与者组,但是一个没有在这个循环中报告数据。问题是缺少的组夹在中间,我不能将SAS输出粘贴到excel表。我想在结果中输出缺少的组,但是作为空白计数和百分比。
现在我正在做漂亮的标准 proc freq table var * Group / norow nocol
来获取计数和总计百分。
Group 1 |第2组| ... |缺少组|第5组|组6
N 500 303 475 630
%
提前感谢任何帮助!
我不认为 PROC FREQ
可以做完全丢失列,不幸的是。 PROC TABULATE
可以像大多数具有CLASS变量的过程一样,在上使用
语句和 preloadfmt
类 printmiss
来告诉它创建所有的逻辑分组(这可能是危险的,所以在复杂的表上使用它谨慎) p>
proc格式;
value $ genderf
'M'='男'
'F'='女'
'T'='Trans'
;
退出;
proc tabulate data = sashelp.class;
class sex / preloadfmt;
var height;
格式sex $ genderf;
表sex,height * mean / printmiss;
运行;
唯一真正的方法是使其在 PROC FREQ
是对数据进行后处理(如果您正在查找数据集而不是打印输出),或者为您丢失的时间段添加一个虚拟行,这当然会改变您的结果。
I have an excel file with sheets that contain both the table shells (including formulas) and the raw data output from SAS (eg. Sheet 1 = Table Shell; Sheet 2 = Table 1 Data).
I am trying to update the table data without having to re-do the table shells and corresponding formulas. However, for the time series I have 6 participant groups, but one did not report data this cycle. The problem is that the missing group is sandwiched in the middle, and I can not paste the SAS output to the excel sheets. I want to output that missing group in the results but as blank counts and percents.
Right now I am doing pretty standard proc freq table var*Group/ norow nocol
to get the count and total percent.
Group 1 | Group 2 | ... | Missing Group | Group 5 | Group 6
N 500 303 475 630
%
Thanks in advance for any help!
I don't think PROC FREQ
can do an entirely missing column, unfortunately. PROC TABULATE
can, as can most procedures that have a CLASS variable, using preloadfmt
on the class
statement and printmiss
to tell it to create all logical groupings (which can be dangerous, so use it with caution on complicated tables).
proc format;
value $genderf
'M'='Male'
'F'='Female'
'T'='Trans'
;
quit;
proc tabulate data=sashelp.class;
class sex/preloadfmt;
var height;
format sex $genderf.;
tables sex,height*mean/printmiss;
run;
The only real way to make it work in PROC FREQ
is to either postprocess the data (if you're looking for a dataset rather than a printed output), or to add a dummy row for your missing time period, which would of course alter your results.
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