topic Re: Problems with missing values in SAS Programming

Problems with missing values

Deep81 — Thu, 27 Jun 2013 23:53:39 GMT

Hello,

I'm analyzing a dataset, which contains many variables with missing values. All the missing values are coded as ".". I do not want to include the missing values in analysis. However, for one of the variables, SAS keeps on including the missing values also in the table as if "." is a separate category, e.g.,

INCOME CATEGORY	FREQUENCY	PERCENTAGE
.	7000	19.7183
<15,000	12500	35.2113
15000 TO LESS THAN 25000	11000	30.9859
25000 TO LESS THAN 35000	5000	14.0845
TOTAL	35500	100

Surprisingly, this happens only for one variable. For the others, the missing values are successfully excluded.

Can anyone give any clue, please?

Thanks,

Deep

Re: Problems with missing values

Haikuo — Fri, 28 Jun 2013 00:06:39 GMT

Because it is not missing, instead, it has the value of character '.' . is missing for number, while for char, ' 'blank is considered as missing.

Re: Problems with missing values

Deep81 — Fri, 28 Jun 2013 00:21:15 GMT

Thanks, but actually it is . In the question I put the quotation marks just to emphasize that I used . instead of missing values.

Re: Problems with missing values

Haikuo — Fri, 28 Jun 2013 00:45:43 GMT

Show me your data, and the way you use to exclude missing values. I did not get the idea from ".", rather, the way you present your data in your first post. You have put "." along with something like "15000 TO LESS THAN 25000", which obviously is char.

Re: Problems with missing values

Tom — Fri, 28 Jun 2013 01:49:01 GMT

It is because your character variable has a period in it instead of being all blanks.

Either re-code the data or add a where clause to eliminate the observations were INCOME_CATEGORY='.' .

Try this little piece of code to see how CATEGORY and CATEGORY2 are treated differently.

data have ;

length income 8 category $20 freq 8 ;

infile cards dsd dlm='|';

input income category freq ;

category2=category;

if category2=' ' then category2='.';

cards;

.|.|7000

10000|<15,000|12500

20000|15000 TO LESS THAN 25000|11000

30000|25000 TO LESS THAN 35000|5000

run;

proc freq ;

tables income category category2 ;

weight freq ;

run;