Is there a way to use proc means to find the average based on a character column? Lets say I have a column that has two values male and female. I want to know the percent of men and the percent of women. Then do the same over a period of years.
Use Proc Freq instead.
Use Proc Freq instead.
Thanks that is exactly what I want.
Is there a way to use proc freq to compute percentages on two columns? I’m trying to calculate the percent of whole based on gender and the percent of whole based on year. Note the second percent of whole would not be a sub percent of the first category. I could run two separate freq statements and merge then together, but I’m worried about processing speed. My desired output would look like.
ACADEMIC_PERIOD_DESC | GENDER | COUNT | PERCENT | Whole | Percent of whole |
Fall 2010 | Female | 2099 | 0.58746 | 2.93108 | 0.200424 |
Fall 2011 | Female | 2167 | 0.57541 | 2.93108 | 0.196313 |
Fall 2012 | Female | 2075 | 0.58254 | 2.93108 | 0.198746 |
Fall 2013 | Female | 2091 | 0.58984 | 2.93108 | 0.201236 |
Fall 2014 | Female | 2117 | 0.59583 | 2.93108 | 0.20328 |
Fall 2010 | Male | 1455 | 0.40722 | 2.06134 | 0.197551 |
Fall 2011 | Male | 1598 | 0.42432 | 2.06134 | 0.205847 |
Fall 2012 | Male | 1486 | 0.41718 | 2.06134 | 0.202383 |
Fall 2013 | Male | 1449 | 0.40874 | 2.06134 | 0.198288 |
Fall 2014 | Male | 1435 | 0.40388 | 2.06134 | 0.195931 |
Fall 2010 | Not Reported | 19 | 0.00532 | 0.00756 | 0.703704 |
Fall 2011 | Not Reported | 1 | 0.00027 | 0.00756 | 0.035714 |
Fall 2012 | Not Reported | 1 | 0.00028 | 0.00756 | 0.037037 |
Fall 2013 | Not Reported | 5 | 0.00141 | 0.00756 | 0.186508 |
Fall 2014 | Not Reported | 1 | 0.00028 | 0.00756 | 0.037037 |
I was hoping this table in
Request | Equivalent to |
---|---|
tables A*(B C); | tables A*B A*C; |
tables (A B)*(C D); | tables A*C B*C A*D B*D; |
tables (A B C)*D; | tables A*D B*D C*D; |
tables A – – C; | tables A B C; |
tables (A – – C)*D; | tables A*D B*D C*D; |
Base SAS(R) 9.2 Procedures Guide: Statistical Procedures, Third Edition
would help but I can't seem to figure out how to use the table statement to produce the desired result.
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