PROC RANK for mutiple by Values

[chrishull]

I'm attempting to rank a large dataset by multiple variables. At first I thought it was simple but in reviewing the output, I don't think I'm using the PROC RANK properly. Is it possible that the data having missing values is causing this to happen? I've been searching around and can't find anythat that relates to my specific issue. Any help is greatly appreciated!

The data I have is sorted like this.

P_ID

CLASS

R_COUNT

AVG_VAL

CODE1

CODE2

CODE3

CODE4

CODE5

CODE6

CODE7

CODE8

CODE9

CODE10

ID1

A0

8305

$33.70

EERT01

ID2

A0

7557

$34.28

EERT01

ID3

A1

7039

$34.68

EERT01

ID4

A2

5478

$34.30

EERT01

ID5

A3

5239

$36.66

EERT01

ID6

A4

5213

$36.03

EERT01

ID7

A5

5080

$33.96

EERT01

ID8

A6

5033

$33.70

EERT01

ID9

A7

5031

$33.70

EERT01

ID10

A8

4776

$33.70

EERT01

ID11

A9

4740

$33.70

EERT01

ID12

A10

4505

$35.10

EERT01

ID13

A11

4503

$34.21

EERT01

ID14

A12

4443

$35.54

EERT01

ID15

A13

4416

$34.07

EERT01

ID16

A14

4305

$33.78

EERT01

ID17

A15

4266

$33.70

EERT01

ID18

A16

4233

$33.70

EERT01

ID19

A17

3950

$34.91

EERT01

ID20

A18

3903

$35.95

EERT01

ID21

A19

3890

$36.04

EERT01

ID22

A20

3878

$33.70

EERT01

Here's the code I'm using to rank

proc rank data= have OUT= want ties=low descending ;
 sysecho 'Ranking p_ID R_COUNT';
 by CODE1-CODE10;
 var R_COUNT;
 ranks P_RANK;
run;

This is the output I get:

P_ID	CLASS	R_COUNT	AVG_VAL	CODE1	CODE2	CODE3	CODE4	CODE5	CODE6	CODE7	CODE8	CODE9	CODE10	P_RANK
ID1	A0	8305	$33.70	EERT01										1
ID2	A0	7557	$34.28	EERT01										1
ID3	A1	7039	$34.68	EERT01										1
ID4	A2	5478	$34.30	EERT01										1
ID5	A3	5239	$36.66	EERT01										1
ID6	A4	5213	$36.03	EERT01										1
ID7	A5	5080	$33.96	EERT01										1
ID8	A6	5033	$33.70	EERT01										63
ID9	A7	5031	$33.70	EERT01										63
ID10	A8	4776	$33.70	EERT01										63
ID11	A9	4740	$33.70	EERT01										63
ID12	A10	4505	$35.10	EERT01										63
ID13	A11	4503	$34.21	EERT01										63
ID14	A12	4443	$35.54	EERT01										63
ID15	A13	4416	$34.07	EERT01										63
ID16	A14	4305	$33.78	EERT01										63
ID17	A15	4266	$33.70	EERT01										63
ID18	A16	4233	$33.70	EERT01										63
ID19	A17	3950	$34.91	EERT01										1
ID20	A18	3903	$35.95	EERT01										1
ID21	A19	3890	$36.04	EERT01										3
ID22	A20	3878	$33.70	EERT01										3

This is the output I want:

P_ID	CLASS	R_COUNT	AVG_VAL	CODE1	CODE2	CODE3	CODE4	CODE5	CODE6	CODE7	CODE8	CODE9	CODE10	P_RANK
ID1	A0	8305	$33.70	EERT01										1
ID2	A0	7557	$34.28	EERT01										2
ID3	A1	7039	$34.68	EERT01										3
ID4	A2	5478	$34.30	EERT01										4
ID5	A3	5239	$36.66	EERT01										5
ID6	A4	5213	$36.03	EERT01										6
ID7	A5	5080	$33.96	EERT01										7
ID8	A6	5033	$33.70	EERT01										8
ID9	A7	5031	$33.70	EERT01										9
ID10	A8	4776	$33.70	EERT01										10
ID11	A9	4740	$33.70	EERT01										11
ID12	A10	4505	$35.10	EERT01										12
ID13	A11	4503	$34.21	EERT01										13
ID14	A12	4443	$35.54	EERT01										14
ID15	A13	4416	$34.07	EERT01										15
ID16	A14	4305	$33.78	EERT01										16
ID17	A15	4266	$33.70	EERT01										17
ID18	A16	4233	$33.70	EERT01										18
ID19	A17	3950	$34.91	EERT01										19
ID20	A18	3903	$35.95	EERT01										20
ID21	A19	3890	$36.04	EERT01										21
ID22	A20	3878	$33.70	EERT01										22

[Reeza]

You don't need PROC RANK but an enumerator. 

I'm not sure about your sort order, it doesn't seem to be only CODE1-CODE10. 

Once you've determined your sort the following is what you need. 

Proc sort data=have out=sorted;

by <sort variables>;

run;

Data want;

set sorted;

by <sort variables>;

retain rank 0;

rank+1;

run;

[ballardw]

https://communities.sas.com/t5/SAS-Communities-Library/How-to-create-a-data-step-version-of-your-dat... shows how to create example data in the form of SAS datastep code that can be pasted here. This works better than pasting some table format that wants to overflow the display area of the forum and allows us to test code agains the data easier.

If you have multiple By variables it helps to show some data with more than one of them populated.