topic Re: Create dummy dataset by age group and by category and by categorical values in SAS Programming

Create dummy dataset by age group and by category and by categorical values

chinna0369 — Fri, 23 Aug 2024 19:31:48 GMT

Hi,

I am trying to create a dummy dataset for below data and I have provided my code as well. I have 20 records in my desired dataset but I am getting only 8 records when try to create dummy same like that. I am unable to create it by groups. Can you help me with this where I am doing wrong?

data have;
input AAGEGR1	$1-23 TEXT $24-40	TEXT1 $41-89 TEXT2	$90-126 TEXT3 $127-150;
datalines;
Age group: 12-17 years	First Assessment	Mini-Tablets Crushed and Added to Food and Drink	Any Unpleasant After Taste	            No
Age group: 12-17 years	First Assessment	Mini-Tablets Crushed and Added to Food and Drink	Any Unpleasant After Taste	            Yes
Age group: 12-17 years	First Assessment	Mini-Tablets Crushed and Added to Food and Drink	How Easy to Take Other Oral Meds [2]	1
Age group: 12-17 years	First Assessment	Mini-Tablets Crushed and Added to Food and Drink	How Easy to Take Other Oral Meds [2]	2
Age group: 12-17 years	First Assessment	Mini-Tablets Crushed and Added to Food and Drink	How Easy to Take Other Oral Meds [2]	3
Age group: 12-17 years	First Assessment	Mini-Tablets Crushed and Added to Food and Drink	How Easy to Take Other Oral Meds [2]	4
Age group: 12-17 years	First Assessment	Mini-Tablets Crushed and Added to Food and Drink	How Easy to Take Other Oral Meds [2]	5
Age group: 12-17 years	First Assessment	Mini-Tablets Crushed and Added to Food and Drink	How Easy to Take Other Oral Meds [2]	Composite Evaluation [a]
Age group: 12-17 years	First Assessment	Mini-Tablets Crushed and Added to Food and Drink	How Easy to Take Other Oral Meds [2]	OK or Better (>=3)
Age group: 12-17 years	First Assessment	Mini-Tablets Crushed and Added to Food and Drink	How Easy to Take Other Oral Meds [2]	Worse than OK (<3)
Age group: 12-17 years	First Assessment	Mini-Tablets Crushed and Added to Food and Drink	How Easy to Take Study Drug [2]	        1
Age group: 12-17 years	First Assessment	Mini-Tablets Crushed and Added to Food and Drink	How Easy to Take Study Drug [2]	        2
Age group: 12-17 years	First Assessment	Mini-Tablets Crushed and Added to Food and Drink	How Easy to Take Study Drug [2]	        3
Age group: 12-17 years	First Assessment	Mini-Tablets Crushed and Added to Food and Drink	How Easy to Take Study Drug [2]	        4
Age group: 12-17 years	First Assessment	Mini-Tablets Crushed and Added to Food and Drink	How Easy to Take Study Drug [2]	        5
Age group: 12-17 years	First Assessment	Mini-Tablets Crushed and Added to Food and Drink	How Easy to Take Study Drug [2]	        Composite Evaluation [a]
Age group: 12-17 years	First Assessment	Mini-Tablets Crushed and Added to Food and Drink	How Easy to Take Study Drug [2]	        OK or Better (>=3)
Age group: 12-17 years	First Assessment	Mini-Tablets Crushed and Added to Food and Drink	How Easy to Take Study Drug [2]	        Worse than OK (<3)
Age group: 12-17 years	First Assessment	Mini-Tablets Crushed and Added to Food and Drink	Swallow the Dose	                    No
Age group: 12-17 years	First Assessment	Mini-Tablets Crushed and Added to Food and Drink	Swallow the Dose	                    Yes
;
run;

data want;
	do aagegr1n=1;
		do textn=1;
			do text1n=1;
				do text2n=1,2,3,4;
					do text3n=1,2;
	output;
					end;
				end;
			end;
		end;
	end;
run;

Below is the desired dataset:

data want;
input AAGEGR1n TEXTn TEXT1n TEXT2n TEXT3n;
datalines;
1 1 1 1 1
1 1 1 1 0
1 1 1 2 1
1 1 1 2 2
1 1 1 2 3
1 1 1 2 4
1 1 1 2 5
1 1 1 2 6
1 1 1 2 7
1 1 1 2 8
1 1 1 3 1
1 1 1 3 2
1 1 1 3 3
1 1 1 3 4
1 1 1 3 5
1 1 1 3 6
1 1 1 3 7
1 1 1 3 8
1 1 1 4 1
1 1 1 4 0
;
;
run;

Thanks,

Chinna

Re: Create dummy dataset by age group and by category and by categorical values

SASJedi — Fri, 23 Aug 2024 18:54:15 GMT

Could you please provide a quick sample of a few records of the desired output (want)?

Re: Create dummy dataset by age group and by category and by categorical values

chinna0369 — Fri, 23 Aug 2024 19:30:36 GMT

data want;
input AAGEGR1n TEXTn TEXT1n TEXT2n TEXT3n;
datalines;
1 1 1 1 1
1 1 1 1 0
1 1 1 2 1
1 1 1 2 2
1 1 1 2 3
1 1 1 2 4
1 1 1 2 5
1 1 1 2 6
1 1 1 2 7
1 1 1 2 8
1 1 1 3 1
1 1 1 3 2
1 1 1 3 3
1 1 1 3 4
1 1 1 3 5
1 1 1 3 6
1 1 1 3 7
1 1 1 3 8
1 1 1 4 1
1 1 1 4 0
;
;
run;

Re: Create dummy dataset by age group and by category and by categorical values

ballardw — Tue, 27 Aug 2024 19:55:35 GMT

I'm not quite sure what this is useful for but if this Want data set is supposed to have a "structure" similar to the Have you do not have as many values of Text3n in Want as there are values of Text3 in the have data set.

Note: When I run your code a written it does not produce what I think you expect for a result because there are

some TAB characters and the resulting column counts don't quite match that input statement. After replacing the tabs...

Your Have data set has 10 different values for Text3. If you are trying to simulate that you need more values of Text3n. HOWEVER, of the Text2 values "Any Unpleasant After Taste" and "Swallow the Dose" are only associated with the 'Yes' and 'No' of Text3, and the "How Easy to Take Other Oral Meds [2]" and "How Easy to Take Study Drug [2]" are associated with the other 8 values of Text3.

Which means, if I understand what you want, something more like: (ugly code indents because I'm too lazy to clean up the different TAB treatment of the forum software vs my editor settings for this many indents)

data want;
	do aagegr1n=1;
		do textn=1;
			do text1n=1;
				do text2n=1,2,3,4;
               if text2n in (1,4) then do;
                   do text3n= 1,2;
                     output;
                   end;
               end;
               else if text2n in (2,3) then do;
                    do text3n= 3 to 10;
                       output;
                     end;
					end;
				end;
			end;
		end;
	end;
run;

Re: Create dummy dataset by age group and by category and by categorical values

ballardw — Fri, 23 Aug 2024 21:00:21 GMT

@chinna0369 wrote:
data want;
input AAGEGR1n TEXTn TEXT1n TEXT2n TEXT3n;
datalines;
1 1 1 1 1 <= Does this 1 mean the same
1 1 1 1 0
1 1 1 2 1 <=As this 1? In your text data, the text for the first 1 is 'No' but for the third line here is a digit 1.
31 1 1 2 2
1 1 1 2 3
1 1 1 2 4
1 1 1 2 5
1 1 1 2 6
1 1 1 2 7
1 1 1 2 8
1 1 1 3 1
1 1 1 3 2
1 1 1 3 3
1 1 1 3 4
1 1 1 3 5
1 1 1 3 6
1 1 1 3 7
1 1 1 3 8
1 1 1 4 1
1 1 1 4 0
;
;
run;

To get your "code" you should consider the meaning of the characters...Regardless your, original Text3 has 10 different values. This coding only has 9.

BTW, it is much more common to see 1 for Yes and 0 for No (or True/False).