I have two datasets as below:
data2016:
item | quality | Jun | Jul | Aug |
apple | bad | 1 | 1 | 3 |
apple | good | 6 | 8 | 9 |
orange | bad | 1 | 2 | 1 |
orange | good | 4 | 9 | 6 |
peach | bad | 2 | 2 | 3 |
peach | good | 10 | 12 | 17 |
data2017:
item | quality | Jun | Jul | Aug |
apple | bad | 2 | 2 | 3 |
apple | good | 13 | 14 | 15 |
orange | bad | 3 | 5 | 1 |
orange | good | 8 | 7 | 13 |
cherry | bad | 1 | 4 | 2 |
cherry | good | 7 | 9 | 5 |
Now I need to make a summary result as below:
summary:
item quality Jun Jul Aug
item | quality | Jun | Jul | Aug |
apple | bad | 3 | 3 | 6 |
apple | good | 19 | 22 | 24 |
orange | bad | 4 | 7 | 2 |
orange | good | 12 | 16 | 19 |
cherry | bad | 1 | 4 | 2 |
cherry | good | 7 | 9 | 5 |
peach | bad | 2 | 2 | 3 |
peach | good | 10 | 12 | 17 |
Logic is that sum the data of 2016 and 2017 result for each item, quality and month. I tried use cumulative sum and remove some rows but do not know how to calculate cumulative sum for several month like Jun Jul Aug, or is there any other easier way of doing this?
My cumulative sum code:
proc datasets;
append base=data2016 data=data2017;
run;
proc sort data=data2016;
by item quality;
run;
data summary;
set data2016;
by item quality;
if first.flag then June=Jun July=Jul August=Aug;
else June=Jun+June July=Jul+July August=Aug+August;
run;
then I will drop and rename columns and join summary having Aug=max(Aug), haven't done this step because the sum is still not working.
Please help to see how make the sum step working, and is there any other easier way to do this?
Thanks,
Don't use a data step to calculate summary statistics unless you're doing really customized calculations.
Try PROC MEANS instead and include both Item and Quality in your BY or CLASS statements.
This shows you how to use PROC MEANS with multiple variables and save the output to a data set. You can replace my feature1-feature3 with your Jun-Aug. You can run the code in the example below to see how the data is structured and how the results are generated.
https://github.com/statgeek/SAS-Tutorials/blob/master/proc_means_basic.sas
Step 1: append the two data sets
Step 2: use PROC SUMMARY or PROC MEANS to do the sums, you need to set ITEM and QUALITY as CLASS variables.
thanks, can you show me the code please?
There are examples in the PROC MEANS documentation
Don't use a data step to calculate summary statistics unless you're doing really customized calculations.
Try PROC MEANS instead and include both Item and Quality in your BY or CLASS statements.
This shows you how to use PROC MEANS with multiple variables and save the output to a data set. You can replace my feature1-feature3 with your Jun-Aug. You can run the code in the example below to see how the data is structured and how the results are generated.
https://github.com/statgeek/SAS-Tutorials/blob/master/proc_means_basic.sas
thans, I use
output out=summary sum=/ autoname;
then it works.
Yes, or you can explicitly name them as desired. I usually try to have a common prefix since SAS works on prefixes not suffixes.
output out=want mean(jun)= Avg_Jun mean(jul)=Avg_Jul .. etc;
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