Identify statements whose placement in the DATA step is
critical?
Answers were Sorted based on User's Feedback
Answer / amaran
Datalines or Cards - They should be the Last statement in
your Data step. all the ohers can be placed any where
between the Data & Datalines statement.
| Is This Answer Correct ? | 8 Yes | 1 No |
The placement of drop keep and rename statement does not affect its execution order.The order is fixed in the order
DROP-KEEP-RENAME.Even if you put a rename statement(rename old_var=new_var;) before a drop statement.The drop statement will look for old_var as it is executed prior to rename statement.
Length can be the answer as its placement is very important.Changing the length value of a variable after the set statement will not carry out the necessary change.It has to be done before set statement.
| Is This Answer Correct ? | 3 Yes | 0 No |
Answer / vijay
first preference goes to run;
next - placement of ; if you use datalines
next - use of infile and input
next - use of retain and length statements
| Is This Answer Correct ? | 0 Yes | 0 No |
Answer / meena
Placement of the last six statements (shown below) is critical
because the attributes of variables are determined
by the first reference to the compiler:
drop, keep, rename
label
retain
length
format, informat
attrib
array
by
| Is This Answer Correct ? | 0 Yes | 1 No |
Answer / chandra sekar
Keep, Drop and Rename can also play a critical role if you
are using some of the variables listed in them.
| Is This Answer Correct ? | 0 Yes | 2 No |
in ods is there any lib's
I need help in merging two different datasets. I am merging by date and I want to propagate observations from one dataset to the corresponding dates. One dataset has a unique date for each day of the month, while the other dataset has same date for different patient visits. For example I want to spread an observation on the 31DEC2008 from one dataset to several observations with the same date on a second dataset for all the patients who visited on that date. I have tried to merge the two and the result is not what I wanted. Instead I get a dataset whereby all the dates have missing values where observations from the first datset should have spread.
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