Stack band using SAS University Edition

[superbibi]

Hi SAS Users,

I am using SAS University Edition. 

I know how to generate the AUC graph for each ID. But how to generate an overlay graph for the two IDs?

Thank you.

data have;
input id $7.	day 	value start 	auc;
cards;
LND-002 	0 	0 	0 	23.5
LND-002 	1 	0 	0 	23.5
LND-002 	2 	0 	0 	23.5
LND-002 	3 	0 	0 	23.5
LND-002 	4 	0 	0 	23.5
LND-002 	5 	0 	0 	23.5
LND-002 	6 	0 	0 	23.5
LND-002 	7 	0 	0 	23.5
LND-002 	8 	0 	0 	23.5
LND-002 	9 	0 	0 	23.5
LND-002 	10 	0 	0 	23.5
LND-002 	11 	0 	0 	23.5
LND-002 	12 	0 	0 	23.5
LND-002 	13 	0 	0 	23.5
LND-002 	14 	0 	0 	23.5
LND-002 	15 	0 	0 	23.5
LND-002 	16 	0 	0 	23.5
LND-002 	17 	0 	0 	23.5
LND-002 	18 	0 	0 	23.5
LND-002 	19 	0 	0 	23.5
LND-002 	20 	0 	0 	23.5
LND-002 	21 	0 	0 	23.5
LND-002 	22 	0 	0 	23.5
LND-002 	23 	0 	0 	23.5
LND-002 	24 	0 	0 	23.5
LND-002 	25 	0 	0 	23.5
LND-002 	26 	0 	0 	23.5
LND-002 	27 	0 	0 	23.5
LND-002 	28 	0 	0 	23.5
LND-002 	29 	0 	0 	23.5
LND-002 	30 	0 	0 	23.5
LND-002 	31 	0 	0 	23.5
LND-002 	32 	0 	0 	23.5
LND-002 	33 	0 	0 	23.5
LND-002 	34 	0 	0 	23.5
LND-002 	35 	3 	0 	23.5
LND-002 	36 	3 	0 	23.5
LND-002 	37 	2 	0 	23.5
LND-002 	38 	2 	0 	23.5
LND-002 	39 	4 	0 	23.5
LND-002 	40 	1 	0 	23.5
LND-002 	41 	0 	0 	23.5
LND-002 	42 	1 	0 	23.5
LND-002 	43 	0 	0 	23.5
LND-002 	44 	1 	0 	23.5
LND-002 	45 	0 	0 	23.5
LND-002 	46 	0 	0 	23.5
LND-002 	47 	0 	0 	23.5
LND-002 	48 	0 	0 	23.5
LND-002 	49 	0 	0 	23.5
LND-002 	50 	0 	0 	23.5
LND-002 	51 	0 	0 	23.5
LND-002 	52 	1 	0 	23.5
LND-002 	53 	1 	0 	23.5
LND-002 	54 	1 	0 	23.5
LND-002 	55 	1 	0 	23.5
LND-002 	56 	0 	0 	23.5
LND-002 	57 	0 	0 	23.5
LND-002 	58 	0 	0 	23.5
LND-002 	59 	0 	0 	23.5
LND-002 	60 	0 	0 	23.5
LND-002 	61 	0 	0 	23.5
LND-002 	62 	0 	0 	23.5
LND-002 	63 	1 	0 	23.5
LND-002 	64 	1 	0 	23.5
LND-002 	65 	. 	0 	23.5
LND-002 	66 	0 	0 	23.5
LND-002 	67 	0 	0 	23.5
LND-002 	68 	0 	0 	23.5
LND-002 	69 	0 	0 	23.5
LND-002 	70 	0 	0 	23.5
LND-002 	71 	0 	0 	23.5
LND-002 	72 	0 	0 	23.5
LND-002 	73 	0 	0 	23.5
LND-002 	74 	0 	0 	23.5
LND-002 	75 	0 	0 	23.5
LND-002 	76 	0 	0 	23.5
LND-002 	77 	0 	0 	23.5
LND-002 	78 	0 	0 	23.5
LND-002 	79 	0 	0 	23.5
LND-002 	80 	0 	0 	23.5
LND-002 	81 	0 	0 	23.5
LND-002 	82 	0 	0 	23.5
LND-002 	83 	0 	0 	23.5
LND-002 	84 	0 	0 	23.5
LND-002 	85 	0 	0 	23.5
LND-002 	86 	0 	0 	23.5
LND-002 	87 	0 	0 	23.5
LND-002 	88 	0 	0 	23.5
LND-002 	89 	0 	0 	23.5
LND-002 	90 	0 	0 	23.5
LND-002 	91 	0 	0 	23.5
LND-002 	92 	. 	0 	23.5
LND-003 	0 	0 	0 	3.0
LND-003 	1 	0 	0 	3.0
LND-003 	2 	0 	0 	3.0
LND-003 	3 	0 	0 	3.0
LND-003 	4 	0 	0 	3.0
LND-003 	5 	0 	0 	3.0
LND-003 	6 	0 	0 	3.0
LND-003 	7 	0 	0 	3.0
LND-003 	8 	0 	0 	3.0
LND-003 	9 	0 	0 	3.0
LND-003 	10 	0 	0 	3.0
LND-003 	11 	0 	0 	3.0
LND-003 	12 	0 	0 	3.0
LND-003 	13 	0 	0 	3.0
LND-003 	14 	0 	0 	3.0
LND-003 	15 	0 	0 	3.0
LND-003 	16 	1 	0 	3.0
LND-003 	17 	1 	0 	3.0
LND-003 	18 	0 	0 	3.0
LND-003 	19 	0 	0 	3.0
LND-003 	20 	0 	0 	3.0
LND-003 	21 	0 	0 	3.0
LND-003 	22 	0 	0 	3.0
LND-003 	23 	0 	0 	3.0
LND-003 	24 	0 	0 	3.0
LND-003 	25 	0 	0 	3.0
LND-003 	26 	0 	0 	3.0
LND-003 	27 	0 	0 	3.0
LND-003 	28 	0 	0 	3.0
LND-003 	29 	0 	0 	3.0
LND-003 	30 	1 	0 	3.0
LND-003 	31 	0 	0 	3.0
LND-003 	32 	0 	0 	3.0
LND-003 	33 	0 	0 	3.0
LND-003 	34 	0 	0 	3.0
LND-003 	35 	0 	0 	3.0
LND-003 	36 	0 	0 	3.0
LND-003 	37 	0 	0 	3.0
LND-003 	38 	0 	0 	3.0
LND-003 	39 	0 	0 	3.0
LND-003 	40 	0 	0 	3.0
LND-003 	41 	0 	0 	3.0
LND-003 	42 	0 	0 	3.0
LND-003 	43 	0 	0 	3.0
LND-003 	44 	0 	0 	3.0
LND-003 	45 	0 	0 	3.0
LND-003 	46 	0 	0 	3.0
LND-003 	47 	0 	0 	3.0
LND-003 	48 	0 	0 	3.0
LND-003 	49 	0 	0 	3.0
LND-003 	50 	0 	0 	3.0
LND-003 	51 	0 	0 	3.0
LND-003 	52 	0 	0 	3.0
LND-003 	53 	0 	0 	3.0
LND-003 	54 	0 	0 	3.0
LND-003 	55 	0 	0 	3.0
LND-003 	56 	0 	0 	3.0
LND-003 	57 	0 	0 	3.0
LND-003 	58 	0 	0 	3.0
LND-003 	59 	0 	0 	3.0
LND-003 	60 	0 	0 	3.0
LND-003 	61 	0 	0 	3.0
LND-003 	62 	0 	0 	3.0
LND-003 	63 	0 	0 	3.0
LND-003 	64 	0 	0 	3.0
LND-003 	65 	0 	0 	3.0
LND-003 	66 	0 	0 	3.0
LND-003 	67 	0 	0 	3.0
LND-003 	68 	0 	0 	3.0
LND-003 	69 	0 	0 	3.0
LND-003 	70 	0 	0 	3.0
LND-003 	71 	0 	0 	3.0
LND-003 	72 	0 	0 	3.0
LND-003 	73 	0 	0 	3.0
LND-003 	74 	0 	0 	3.0
LND-003 	75 	0 	0 	3.0
LND-003 	76 	0 	0 	3.0
LND-003 	77 	0 	0 	3.0
LND-003 	78 	0 	0 	3.0
LND-003 	79 	0 	0 	3.0
LND-003 	80 	0 	0 	3.0
LND-003 	81 	0 	0 	3.0
LND-003 	82 	0 	0 	3.0
LND-003 	83 	0 	0 	3.0
LND-003 	84 	0 	0 	3.0
LND-003 	85 	0 	0 	3.0
LND-003 	86 	0 	0 	3.0
LND-003 	87 	0 	0 	3.0
;
run;


proc sgplot data = have;
where id = "LND-002";
band  x= day lower = start upper = value;
   xaxis values=(0 to 100 by 5);
   yaxis values=(0 to 5 by 1);
run;

[ballardw · Accepted solution]

Generally the approach is not to use a WHERE clause eliminating any of the groups and then use a GROUP option.

proc sgplot data = have;

band  x= day lower = start upper = value  / group=ID;
   xaxis values=(0 to 100 by 5);
   yaxis values=(0 to 5 by 1);
run;

Depending on your data you may need to look at some other options like TRANSPARENCY = 0.5 to display something when bands overlap

[superbibi]

Thank you very much!