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yoyong555
Obsidian | Level 7

Hi.

I have this sample table.

Group Type Value
1 a 16
1 b 25
2 a 20
2 b 14
3 a 17
3 b 31

 

I want to calculate the percentage change from a to b per group. For example formula for Group 1 = (16-25)/16 * 100.

 

Thank you.

 

Yoyong

1 ACCEPTED SOLUTION

Accepted Solutions
ChrisNZ
Tourmaline | Level 20

Like this?

data WANT;

  set HAVE;

  by GROUP

  PCT = divide(-dif(VALUE),lag(VALUE)) * last.GROUP * 100;

run;

View solution in original post

5 REPLIES 5
ChrisNZ
Tourmaline | Level 20

Like this?

data WANT;

  set HAVE;

  by GROUP

  PCT = divide(-dif(VALUE),lag(VALUE)) * last.GROUP * 100;

run;

ChrisNZ
Tourmaline | Level 20

Or:

data WANT;

  set HAVE;

  PCT = divide(-dif(VALUE),lag(VALUE)) * (TYPE='b') * 100;

run;

 

yoyong555
Obsidian | Level 7

Thanks. How will the formula look like if it is from b to a?

ChrisNZ
Tourmaline | Level 20

Your data is sorted by TYPE, and both code snippets take advantage of this.

mkeintz
PROC Star

Even if the data are sorted by group, but not always sorted by type within group, a use of the WHERE dataset name parameter in a SET statement can address the problem without doing a sort:

 

data WANT;
  set HAVE (where=(type='a')
      have (where=(type='b');
  by group;
  pctchnge1=ifn(type='b',divide(dif(value),lag(value)),.);
run;

The BY statement tells SAS that the data are sorted by group.  But the SET statement forces the type a's to alway precede the type b's within a group, regardless of how they are actually ordered.   

So if you want the pct change from b to a instead of a to b, you can do one of these:

 

  1. swap the order of the where filters in the SET statement, and change the first argument of the IFN function to type='a'.
      or
  2. Leave all of them in place and, using algebra, add a statement:
      pctchnge2=1/(1+pctchnge1)-1;

 

Note this assumes that each group has exactly one type a and one type b record, but ignores other types.

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