topic Re: Referring to fixed constraints and calculated values to compute new variables in SAS Programming

Referring to fixed constraints and calculated values to compute new variables

1Alina — Sun, 28 Apr 2019 14:48:17 GMT

Dear community members,

I'm working on a selection plan that will be programmed in SAS. There will be various zones, but for simplicity I add here example with four zones (ZONE), each having a preset fixed amount of observations (FIXED).

I have one data table called ZONES with variables ZONE and FIXED with following values:

ZONE	FIXED
1	200
2	120
3	80
4	100

Then I have second data table called RESULT with variables ZONE, CLASS and TARGET with following values:

ZONE	CLASS	TARGET
1	A	32.4677
1	B	36.0680
1	C	62.6852
1	D	47.1945
1	E	31.5844
2	A	14.5252
2	B	14.1779
2	C	29.5432
2	D	6.7894
2	E	9.9574
3	A	51.1834
3	B	0.6335
3	C	36.9613
3	D	5.8361
3	E	15.3799
3	F	3.7684
4	A	39.8149
4	B	0.4815
4	C	4.7643
4	D	2.9040
4	E	12.9612
4	F	3.5365

Then the target estimate (TARGET) needs to be optimized (with a regulated method). A new variable OPT needs to be derived.

To calculate OPT, I need subtotals of variable TARGET by ZONE. I have done it by using this sample code:

PROC TABULATE data=result;
  CLASS ZONE /*Classification variable 1, 2, 3 or 4*/;
  VAR TARGET /*Target variable*/;
  TABLE ZONE (all), (TARGET)*(SUM) /*Subtotals by ZONE of TARGET*/;
RUN;

The result is:

1	209.9999
2	74.9931
3	113.7625
4	64.4625

The new derived OPT is calculated for each ZONE. For example ZONE=1:

OPT = FIXED*TARGET divided by subtotal of TARGET in ZONE=1 (209.9999). Sample code I have cut below, I have used numbers either given in data table ZONES (for instance 100) or calculated subtotals (for instance 64.4625).

data result; set result;
      if ZONE=1 then OPT=200*TARGET/209.9999 ;
      if ZONE=2 then OPT=120*TARGET/74.9931 ;
      if ZONE=3 then OPT=80*TARGET/113.7625 ;
      if ZONE=4 then OPT=100*TARGET/64.4625 ;
/* FIXED*TARGET divided by subtotals by ZONE of TARGET */
run;

The result is like this:

ZONE	CLASS	TARGET	OPT
1	A	32.4677	30.9216
1	B	36.0680	34.3505
1	C	62.6852	59.7002
1	D	47.1945	44.9471
1	E	31.5844	30.0804
2	A	14.5252	23.2425
2	B	14.1779	22.6867
2	C	29.5432	47.2735
2	D	6.7894	10.8640
2	E	9.9574	15.9333
3	A	51.1834	35.9932
3	B	0.6335	0.4455
3	C	36.9613	25.9919
3	D	5.8361	4.1040
3	E	15.3799	10.8154
3	F	3.7684	2.6500
4	A	39.8149	61.7645
4	B	0.4815	0.7469
4	C	4.7643	7.3908
4	D	2.9040	4.5050
4	E	12.9612	20.1066
4	F	3.5365	5.4862

I have trouble finding a way to refer in tables with FIXED and calculated subtotals so that I could generate a new variable OPT that is different for each ZONE. I highlighted the issues:

data result; set result;
      if ZONE=1 then OPT=200*TARGET/209.9999 ;
      if ZONE=2 then OPT=120*TARGET/74.9931 ;
      if ZONE=3 then OPT=80*TARGET/113.7625 ;
      if ZONE=4 then OPT=100*TARGET/64.4625 ;
/* FIXED*TARGET divided by subtotals by ZONE of TARGET */
run;

Kindly, help me out to find a solution.

Re: Referring to fixed constraints and calculated values to compute new variables

ChrisNZ — Thu, 25 Apr 2019 23:34:29 GMT

I don't understand the question.

Where are TARGET and 209.9999 coming from?

Re: Referring to fixed constraints and calculated values to compute new variables

1Alina — Fri, 26 Apr 2019 04:31:28 GMT

Hello,

TARGET is variable that includes calculated estimates. TARGET variable is shown in the attached table. The figure 209.9999 is a subtotal for ZONE=1. The sum of red TARGET values in table below equals 209.9999.

ZONE	CLASS	TARGET	OPT
1	A	32,4677	30,9216
1	B	36,0680	34,3505
1	C	62,6852	59,7002
1	D	47,1945	44,9471
1	E	31,5844	30,0804
2	A	14,5252	23,2425
2	B	14,1779	22,6867
2	C	29,5432	47,2735
2	D	6,7894	10,8640
2	E	9,9574	15,9333
3	A	51,1834	35,9932
3	B	0,6335	0,4455
3	C	36,9613	25,9919
3	D	5,8361	4,1040
3	E	15,3799	10,8154
3	F	3,7684	2,6500
4	A	39,8149	61,7645
4	B	0,4815	0,7469
4	C	4,7643	7,3908
4	D	2,9040	4,5050
4	E	12,9612	20,1066
4	F	3,5365	5,4862

Re: Referring to fixed constraints and calculated values to compute new variables

ChrisNZ — Fri, 26 Apr 2019 04:50:21 GMT

>The sum of red TARGET values in table below equals 209.9999.

It isn't.

The sum is 2,099,998.

Oh I see. The comma is the decimal separator then?

Re: Referring to fixed constraints and calculated values to compute new variables

ChrisNZ — Fri, 26 Apr 2019 04:51:26 GMT

And what data set contains the TARGET variable?

Re: Referring to fixed constraints and calculated values to compute new variables

1Alina — Fri, 26 Apr 2019 14:43:26 GMT

Hello,

data set 'result' contains variable TARGET. This data set is clipped into original post.

Re: Referring to fixed constraints and calculated values to compute new variables

1Alina — Sun, 28 Apr 2019 14:50:32 GMT

Hello,

TARGET

32.4677

36.0680

62.6852

47.1945

31.5844

Sum of these figures equals 209.9999.

Re: Referring to fixed constraints and calculated values to compute new variables

ChrisNZ — Sun, 28 Apr 2019 03:57:51 GMT

So table ZONES contains variables ZONE FIXED TARGET and CLASS? And OPT is derived?

Why this then: ?

data zones;

input ZONE FIXED;

datalines;

1    200

2    120

3    80

4    100

;

Please don't let us look for the pieces of the puzzle.

Provide a clear and comprehensive question.

Also use the {i} or running man icon to post code. And test the code you provide by copying and pasting it back into SAS.

Awaiting a replacement for the data step above. 🙂

Re: Referring to fixed constraints and calculated values to compute new variables

1Alina — Sun, 28 Apr 2019 14:52:46 GMT

I updated the original post to clarify your questions.

Re: Referring to fixed constraints and calculated values to compute new variables

smijoss1 — Sun, 28 Apr 2019 15:30:46 GMT

Why are breaking it into so many steps and not writing 1 sql code ???

Proc sql;
Create table temp as
Select a.zone, a.class, a.target, b.fixed,
B.fixed * a.target / c.sum_target as OPT
From result a
Inner join zones b
On a.zone = b.zone
Inner join ( select zone, sum(target) as sum_target from result group by zone) as c
On a.zone = c.zone;

Quit;

You could change inner joins to left joins depending on your data

Re: Referring to fixed constraints and calculated values to compute new variables

smijoss1 — Sun, 28 Apr 2019 15:35:42 GMT

If sql isnt your comfort zone then merging the summarized data with other 2 table should hve worked.

Your question seems unclear.

Re: Referring to fixed constraints and calculated values to compute new variables

ChrisNZ — Sun, 28 Apr 2019 22:35:59 GMT

1. The code below shows how your input data should be posted.

2. The code below does the calculation required.

3. Does this make sense?

data ZONES;
  input ZONE FIXED;
cards;
1 200
2 120
3 80
4 100
run;

data RESULT;
  input ZONE CLASS $ TARGET ;
cards;
1 A 32.4677
1 B 36.0680
1 C 62.6852
1 D 47.1945
1 E 31.5844
2 A 14.5252
2 B 14.1779
2 C 29.5432
2 D 6.7894
2 E 9.9574
3 A 51.1834
3 B 0.6335
3 C 36.9613
3 D 5.8361
3 E 15.3799
3 F 3.7684
4 A 39.8149
4 B 0.4815
4 C 4.7643
4 D 2.9040
4 E 12.9612
4 F 3.5365
run;

proc sql;
  create table WANT as
  select b.*
       , FIXED*TARGET/SUM_BY_ID as OPT
  from ZONES                               a
         inner join 
       (select *, sum(TARGET) as SUM_BY_ID 
        from RESULT 
        group by ZONE)                     b
  on a.ZONE = b.ZONE;
quit;

ZONE	CLASS	TARGET	OPT
1	A	32.4677	30.92165
1	B	36.068	34.35051
1	C	62.6852	59.70025
1	E	31.5844	30.08041
1	D	47.1945	44.94719
2	B	14.1779	22.68673
2	A	14.5252	23.24246
2	E	9.9574	15.93331
2	D	6.7894	10.86404
2	C	29.5432	47.27347
3	D	5.8361	4.104055
3	E	15.3799	10.81543
3	C	36.9613	25.99188
3	B	0.6335	0.445489
3	A	51.1834	35.99313
3	F	3.7684	2.65001
4	F	3.5365	5.486144
4	E	12.9612	20.1066
4	D	2.904	4.504952
4	C	4.7643	7.39082
4	B	0.4815	0.746947
4	A	39.8149	61.76453