topic Re: BOX Plot customization using Proc Template in Graphics Programming

BOX Plot customization using Proc Template

SASuserlot — Wed, 25 Dec 2024 23:41:46 GMT

Hello Everyone,

I was able to create a box plot, But I am not getting quite what I want. I am providing the code, and customization I am looking in image. Out of 3 customization one I am not sure How I can achieve it ( making the numbers horizontal) . Making the color change I am not sure where I am doing wrong, Tried multiple attempts but not working for some reason. Your inputs and ideas greatly appreciated.

/* Step 1: Create Dummy Dataset */
data dummy_data;
    input Subjid $ Age_Group $ Treatment $ AVAL;
    
    /* Numeric representation for Treatment */
    if Treatment = 'DrugA' then trtn = 1;
    else if Treatment = 'DrugB' then trtn = 2;
    else if Treatment = 'Refer' then trtn = 3;

    /* Numeric representation for Age_Group */
    if Age_Group = '5-13' then agegrpn = 1;
    else if Age_Group = '14-21' then agegrpn = 2;
    else if Age_Group = '22-35' then agegrpn = 3;

    datalines;
S01 5-13 DrugA 6000
S02 5-13 DrugA 7000
S03 5-13 DrugB 8000
S04 5-13 DrugB 9000
S05 5-13 Refer 500
S06 5-13 Refer 12000
S07 5-13 DrugA 10000
S08 5-13 DrugB 11000
S09 5-13 Refer 400
S10 14-21 DrugA 4000
S11 14-21 DrugA 5000
S12 14-21 DrugB 6000
S13 5-13 DrugB 7000
S14 14-21 Refer 1000
S15 14-21 Refer 300
S16 22-35 DrugA 8000
S17 14-21 DrugB 9000
S18 14-21 Refer 100
S19 22-35 DrugA 200
S20 22-35 DrugA 300
S21 22-35 DrugB 400
S22 22-35 DrugB 500
S23 22-35 Refer 50
S24 14-21 Refer 100
S25 22-35 DrugA 600
S26 22-35 DrugB 700
S27 22-35 Refer 150
S28 5-13 DrugA 8000
;
run;


proc sort data=dummy_data; 
by trtn agegrpn; 
run;

proc means data=dummy_data nway noprint;
/*	by trtn strat2rn;*/
/*	var pchg;*/
by trtn agegrpn; 
	var aval;
	*output out=statall min= max= median= mean= n= q1 = q3 =/autoname;
	output out=stat n=n;
run;
data final;
	merge dummy_data stat(drop=_:);
	by trtn agegrpn; 
	num =1;
run;


proc template;
    define statgraph boxplot;

    begingraph / datacolors=(lightblue lightgreen  lightgrey) datasymbols=(trianglefilled squarefilled circlefilled);

        /* Define Custom Attributes for Age Groups */
        discreteattrmap name="groupline" / ignorecase=true;
            value 'DrugA' / lineattrs=(color=lightblue pattern=1 thickness=2px)
                markerattrs=(color=lightblue symbol=trianglefilled size=8pt)
                textattrs=(color=lightblue);
            value 'DrugB' / lineattrs=(color=lightgreen pattern=1 thickness=2px)
                markerattrs=(color=green symbol=squarefilled size=8pt)
                textattrs=(color=lightgreen);
            value 'Refer' / lineattrs=(color=grey pattern=1 thickness=2px)
                markerattrs=(color=grey symbol=circlefilled size=8pt)
                textattrs=(color=grey);
        enddiscreteattrmap;

        discreteattrvar attrvar=trtgrp var=trtn attrmap='groupline';

        /* Add Custom Legends */
        legenditem type=markerline name='A' / lineattrs=(color=blue pattern=1 thickness=2px)
            markerattrs=(color=blue size=8pt symbol=trianglefilled)
            label="DrugA" labelattrs=(size=9pt);
        legenditem type=markerline name='B' / lineattrs=(color=green pattern=1 thickness=2px)
            markerattrs=(color=green size=8pt symbol=squarefilled)
            label="DrugB" labelattrs=(size=9pt);
        legenditem type=markerline name='R' / lineattrs=(color=grey pattern=1 thickness=2px)
            markerattrs=(color=grey size=8pt symbol=circlefilled)
            label="Refer" labelattrs=(size=9pt);

        layout overlay / 
            xaxisopts=(offsetmin=0.12 offsetmax=0.12 label="Age Groups" labelattrs=(size=12pt weight=bold) 
                tickvalueattrs=(size=12pt weight=bold))
            yaxisopts=(offsetmin=0.05 offsetmax=0.05 label="Results" labelfitpolicy=splitalways labelsplitchar='^' 
                labelattrs=(size=11pt weight=bold) tickvalueattrs=(size=12pt weight=bold) 
                linearopts=(tickvaluesequence=(start=-2000 end=15000 increment=1000) viewmin=-2000 viewmax=15000));

        /* Reference Line */
        referenceline y=0 / lineattrs=(color=grey pattern=3);

        /* Box Plot */
        boxplot x=agegrpn y=AVAL / group=trtn groupdisplay=cluster boxwidth=0.56 clusterwidth=0.53 
            medianattrs=(color=black thickness=2px);

        /* Legend */
        discretelegend 'A' 'B' 'R' / down=1 border=false;

        /* Axis Table */
        innermargin;
            axistable x=agegrpn value=num / class=trtn  classorder=ascending 
                valueattrs=(weight=bold) labelattrs=(weight=bold) colorgroup=trtgrp ; 
        endinnermargin;

        endlayout;
    endgraph;
end;
run;
proc format;
   value agegrpn
      1="5-13"
      2="14-21"
      3="22-35"
			;
	value treatment 
		1="DrugA"
		2="DrugB"
		3="Refer"
			;
run;


/* Generate the Graph */
options orientation = landscape errors = 2 missing = ' ' nofmterr ls = 175 validvarname = upcase  nobyline;

ods escapechar = '^';
ods results on; 
ods listing close; 
ods rtf file = "C:\Users\xx\test.rtf" ; 
ods graphics on / imagefmt=png attrpriority=none height=4.8 in width=8.5 in border=off;

proc sgrender data=final template=boxplot;
    format trtn treatment. agegrpn agegrpn.;
run;

ods rtf close;
ods listing;

Re: BOX Plot customization using Proc Template

Ksharp — Thu, 26 Dec 2024 02:36:27 GMT

/* Step 1: Create Dummy Dataset */
data dummy_data;
    input Subjid $ Age_Group $ Treatment $ AVAL;
    
    /* Numeric representation for Treatment */
    if Treatment = 'DrugA' then trtn = 1;
    else if Treatment = 'DrugB' then trtn = 2;
    else if Treatment = 'Refer' then trtn = 3;

    /* Numeric representation for Age_Group */
    if Age_Group = '5-13' then agegrpn = 1;
    else if Age_Group = '14-21' then agegrpn = 2;
    else if Age_Group = '22-35' then agegrpn = 3;

    datalines;
S01 5-13 DrugA 6000
S02 5-13 DrugA 7000
S03 5-13 DrugB 8000
S04 5-13 DrugB 9000
S05 5-13 Refer 500
S06 5-13 Refer 12000
S07 5-13 DrugA 10000
S08 5-13 DrugB 11000
S09 5-13 Refer 400
S10 14-21 DrugA 4000
S11 14-21 DrugA 5000
S12 14-21 DrugB 6000
S13 5-13 DrugB 7000
S14 14-21 Refer 1000
S15 14-21 Refer 300
S16 22-35 DrugA 8000
S17 14-21 DrugB 9000
S18 14-21 Refer 100
S19 22-35 DrugA 200
S20 22-35 DrugA 300
S21 22-35 DrugB 400
S22 22-35 DrugB 500
S23 22-35 Refer 50
S24 14-21 Refer 100
S25 22-35 DrugA 600
S26 22-35 DrugB 700
S27 22-35 Refer 150
S28 5-13 DrugA 8000
;
run;


proc sort data=dummy_data; 
by trtn agegrpn; 
run;

proc means data=dummy_data nway noprint;
/*	by trtn strat2rn;*/
/*	var pchg;*/
by trtn agegrpn; 
	var aval;
	*output out=statall min= max= median= mean= n= q1 = q3 =/autoname;
	output out=stat n=n mean=mean;
run;
data final;
	merge dummy_data stat(drop=_:);
	by trtn agegrpn; 
	num =1;
if TREATMENT='DrugA' then mean1=mean;
if TREATMENT='DrugB' then mean2=mean;
if TREATMENT='Refer' then mean3=mean;


run;


proc template;
    define statgraph boxplot;

    begingraph / datacolors=(lightblue lightgreen  lightgrey) datacontrastcolors=(lightblue lightgreen  lightgrey) 
datasymbols=(trianglefilled squarefilled circlefilled);

        /* Define Custom Attributes for Age Groups */
        discreteattrmap name="groupline" / ignorecase=true;
            value 'DrugA' / lineattrs=(color=lightblue pattern=1 thickness=2px)
                markerattrs=(color=lightblue symbol=trianglefilled size=8pt)
                textattrs=(color=lightblue);
            value 'DrugB' / lineattrs=(color=lightgreen pattern=1 thickness=2px)
                markerattrs=(color=green symbol=squarefilled size=8pt)
                textattrs=(color=lightgreen);
            value 'Refer' / lineattrs=(color=grey pattern=1 thickness=2px)
                markerattrs=(color=grey symbol=circlefilled size=8pt)
                textattrs=(color=grey);
        enddiscreteattrmap;

        discreteattrvar attrvar=trtgrp var=trtn attrmap='groupline';

        /* Add Custom Legends */
        legenditem type=markerline name='A' / lineattrs=(color=blue pattern=1 thickness=2px)
            markerattrs=(color=blue size=8pt symbol=trianglefilled)
            label="DrugA" labelattrs=(size=9pt);
        legenditem type=markerline name='B' / lineattrs=(color=green pattern=1 thickness=2px)
            markerattrs=(color=green size=8pt symbol=squarefilled)
            label="DrugB" labelattrs=(size=9pt);
        legenditem type=markerline name='R' / lineattrs=(color=grey pattern=1 thickness=2px)
            markerattrs=(color=grey size=8pt symbol=circlefilled)
            label="Refer" labelattrs=(size=9pt);

        layout overlay / 
            xaxisopts=(offsetmin=0.12 offsetmax=0.12 label="Age Groups" labelattrs=(size=12pt weight=bold) 
                tickvalueattrs=(size=12pt weight=bold))
            yaxisopts=(offsetmin=0.05 offsetmax=0.05 label="Results" labelfitpolicy=splitalways labelsplitchar='^' 
                labelattrs=(size=11pt weight=bold) tickvalueattrs=(size=12pt weight=bold) 
                linearopts=(tickvaluesequence=(start=-2000 end=15000 increment=1000) viewmin=-2000 viewmax=15000));

        /* Reference Line */
        referenceline y=0 / lineattrs=(color=grey pattern=3);

        /* Box Plot */
        boxplot x=agegrpn y=AVAL / group=trtn groupdisplay=cluster boxwidth=0.56 clusterwidth=0.53 
            medianattrs=(color=black thickness=2px);

        /*scatter of mean*/
	   scatterplot x=agegrpn y=mean1/group=treatment groupdisplay=cluster clusterwidth=0.53  markerattrs=(symbol=trianglefilled color=blue);
	   scatterplot x=agegrpn y=mean2/group=treatment groupdisplay=cluster clusterwidth=0.53  markerattrs=(symbol=squarefilled color=green);
	   scatterplot x=agegrpn y=mean3/group=treatment groupdisplay=cluster clusterwidth=0.53  markerattrs=(symbol=circlefilled color=grey);


        /* Legend */
        discretelegend 'A' 'B' 'R' / down=1 border=false;

        /* Axis Table */
        innermargin;
            axistable x=agegrpn value=num / class=trtn  classdisplay=cluster clusterwidth=0.53 classorder=ascending 
                valueattrs=(weight=bold) labelattrs=(weight=bold) colorgroup=trtgrp ; 
        endinnermargin;

        endlayout;
    endgraph;
end;
run;
proc format;
   value agegrpn
      1="5-13"
      2="14-21"
      3="22-35"
			;
	value treatment 
		1="DrugA"
		2="DrugB"
		3="Refer"
			;
run;


/* Generate the Graph */
options orientation = landscape errors = 2 missing = ' ' nofmterr ls = 175 validvarname = upcase  nobyline;

ods escapechar = '^';
ods results on; 
ods listing close; 
ods rtf file = "C:\temp\test.rtf" ; 
ods graphics on / imagefmt=png attrpriority=none height=4.8 in width=8.5 in border=off;

proc sgrender data=final template=boxplot;
    format trtn treatment. agegrpn agegrpn.;
run;

ods rtf close;
ods listing;

Re: BOX Plot customization using Proc Template

SASuserlot — Thu, 26 Dec 2024 02:54:28 GMT

Perfect. Thank you @Ksharp . You were awesome.

Two questions:

What's the reason are you using the Mean instead of the Median?

Can we make the median line in each box match the legend? Like in this blue-filled triangle with a blue line instead of the black line.

Re: BOX Plot customization using Proc Template

Ksharp — Thu, 26 Dec 2024 03:17:17 GMT

"What's the reason are you using the Mean instead of the Median?"

That blue-filled triangle stands for Mean, not Median, that is reason why I used Mean.

"Can we make the median line in each box match the legend?"

Sure.Check this:

/* Step 1: Create Dummy Dataset */
data dummy_data;
    input Subjid $ Age_Group $ Treatment $ AVAL;
    
    /* Numeric representation for Treatment */
    if Treatment = 'DrugA' then trtn = 1;
    else if Treatment = 'DrugB' then trtn = 2;
    else if Treatment = 'Refer' then trtn = 3;

    /* Numeric representation for Age_Group */
    if Age_Group = '5-13' then agegrpn = 1;
    else if Age_Group = '14-21' then agegrpn = 2;
    else if Age_Group = '22-35' then agegrpn = 3;

    datalines;
S01 5-13 DrugA 6000
S02 5-13 DrugA 7000
S03 5-13 DrugB 8000
S04 5-13 DrugB 9000
S05 5-13 Refer 500
S06 5-13 Refer 12000
S07 5-13 DrugA 10000
S08 5-13 DrugB 11000
S09 5-13 Refer 400
S10 14-21 DrugA 4000
S11 14-21 DrugA 5000
S12 14-21 DrugB 6000
S13 5-13 DrugB 7000
S14 14-21 Refer 1000
S15 14-21 Refer 300
S16 22-35 DrugA 8000
S17 14-21 DrugB 9000
S18 14-21 Refer 100
S19 22-35 DrugA 200
S20 22-35 DrugA 300
S21 22-35 DrugB 400
S22 22-35 DrugB 500
S23 22-35 Refer 50
S24 14-21 Refer 100
S25 22-35 DrugA 600
S26 22-35 DrugB 700
S27 22-35 Refer 150
S28 5-13 DrugA 8000
;
run;


proc sort data=dummy_data; 
by trtn agegrpn; 
run;

proc means data=dummy_data nway noprint;
/*	by trtn strat2rn;*/
/*	var pchg;*/
by trtn agegrpn; 
	var aval;
	*output out=statall min= max= median= mean= n= q1 = q3 =/autoname;
	output out=stat n=n mean=mean median=median;
run;
data final;
	merge dummy_data stat(drop=_:);
	by trtn agegrpn; 
	num =1;
if TREATMENT='DrugA' then do;mean1=mean;median1=median;end;
if TREATMENT='DrugB' then do;mean2=mean;median2=median;end;
if TREATMENT='Refer' then do;mean3=mean;median3=median;end;

run;


proc template;
    define statgraph boxplot;

    begingraph / datacolors=(lightblue lightgreen  lightgrey) datacontrastcolors=(lightblue lightgreen  lightgrey) 
datasymbols=(trianglefilled squarefilled circlefilled);

        /* Define Custom Attributes for Age Groups */
        discreteattrmap name="groupline" / ignorecase=true;
            value 'DrugA' / lineattrs=(color=lightblue pattern=1 thickness=2px)
                markerattrs=(color=lightblue symbol=trianglefilled size=8pt)
                textattrs=(color=lightblue);
            value 'DrugB' / lineattrs=(color=lightgreen pattern=1 thickness=2px)
                markerattrs=(color=green symbol=squarefilled size=8pt)
                textattrs=(color=lightgreen);
            value 'Refer' / lineattrs=(color=grey pattern=1 thickness=2px)
                markerattrs=(color=grey symbol=circlefilled size=8pt)
                textattrs=(color=grey);
        enddiscreteattrmap;

        discreteattrvar attrvar=trtgrp var=trtn attrmap='groupline';

        /* Add Custom Legends */
        legenditem type=markerline name='A' / lineattrs=(color=blue pattern=1 thickness=2px)
            markerattrs=(color=blue size=8pt symbol=trianglefilled)
            label="DrugA" labelattrs=(size=9pt);
        legenditem type=markerline name='B' / lineattrs=(color=green pattern=1 thickness=2px)
            markerattrs=(color=green size=8pt symbol=squarefilled)
            label="DrugB" labelattrs=(size=9pt);
        legenditem type=markerline name='R' / lineattrs=(color=grey pattern=1 thickness=2px)
            markerattrs=(color=grey size=8pt symbol=circlefilled)
            label="Refer" labelattrs=(size=9pt);

        layout overlay / 
            xaxisopts=(offsetmin=0.12 offsetmax=0.12 label="Age Groups" labelattrs=(size=12pt weight=bold) 
                tickvalueattrs=(size=12pt weight=bold))
            yaxisopts=(offsetmin=0.05 offsetmax=0.05 label="Results" labelfitpolicy=splitalways labelsplitchar='^' 
                labelattrs=(size=11pt weight=bold) tickvalueattrs=(size=12pt weight=bold) 
                linearopts=(tickvaluesequence=(start=-2000 end=15000 increment=1000) viewmin=-2000 viewmax=15000));

        /* Reference Line */
        referenceline y=0 / lineattrs=(color=grey pattern=3);

        /* Box Plot */
        boxplot x=agegrpn y=AVAL / group=trtn groupdisplay=cluster boxwidth=0.56 clusterwidth=0.53  ;

        /*scatter of mean*/
	   scatterplot x=agegrpn y=mean1/group=treatment groupdisplay=cluster clusterwidth=0.53  markerattrs=(symbol=trianglefilled color=blue);
	   scatterplot x=agegrpn y=mean2/group=treatment groupdisplay=cluster clusterwidth=0.53  markerattrs=(symbol=squarefilled color=green);
	   scatterplot x=agegrpn y=mean3/group=treatment groupdisplay=cluster clusterwidth=0.53  markerattrs=(symbol=circlefilled color=grey);

        /*scatter of median*/
	   highlowplot x=agegrpn low=median1 high=median1/group=treatment groupdisplay=cluster clusterwidth=0.53 type=bar barwidth=0.6 outlineattrs=(thickness=2px color=blue) ;
	   highlowplot x=agegrpn low=median2 high=median2/group=treatment groupdisplay=cluster clusterwidth=0.53 type=bar barwidth=0.6 outlineattrs=(thickness=2px color=green) ;
	   highlowplot x=agegrpn low=median3 high=median3/group=treatment groupdisplay=cluster clusterwidth=0.53 type=bar barwidth=0.6 outlineattrs=(thickness=2px color=grey) ;

        /* Legend */
        discretelegend 'A' 'B' 'R' / down=1 border=false;

        /* Axis Table */
        innermargin;
            axistable x=agegrpn value=num / class=trtn  classdisplay=cluster clusterwidth=0.53 classorder=ascending 
                valueattrs=(weight=bold) labelattrs=(weight=bold) colorgroup=trtgrp ; 
        endinnermargin;

        endlayout;
    endgraph;
end;
run;
proc format;
   value agegrpn
      1="5-13"
      2="14-21"
      3="22-35"
			;
	value treatment 
		1="DrugA"
		2="DrugB"
		3="Refer"
			;
run;


/* Generate the Graph */
options orientation = landscape errors = 2 missing = ' ' nofmterr ls = 175 validvarname = upcase  nobyline;

ods escapechar = '^';
ods results on; 
ods listing close; 
ods rtf file = "C:\temp\test.rtf" ; 
ods graphics on / imagefmt=png attrpriority=none height=4.8 in width=8.5 in border=off;

proc sgrender data=final template=boxplot;
    format trtn treatment. agegrpn agegrpn.;
run;

ods rtf close;
ods listing;

Re: BOX Plot customization using Proc Template

SASuserlot — Thu, 26 Dec 2024 15:54:49 GMT

Perfect. It worked like Gem Thank you @Ksharp

Re: BOX Plot customization using Proc Template

SASuserlot — Sat, 04 Jan 2025 22:19:34 GMT

Hi @Ksharp , I have a question on this figure; when you get a chance, can you please let me know? The code I provided generated the results for the Year 2009, and it exactly produced the same results in 2010 with everything same data. Is it possible to show 6 bars in each group side by side with 2009 and 2010 results to compare in one figure? example in for one Group

Re: BOX Plot customization using Proc Template

Ksharp — Sun, 05 Jan 2025 02:11:54 GMT

Sure. Post your dataset ,so can test code.

In your original dummy dataset ,there are not YEAR variable.

OK . Using the data you posted for example:

/* Step 1: Create Dummy Dataset */
data dummy_data;
    input Subjid $ Age_Group $ Treatment $ AVAL;
    
    /* Numeric representation for Treatment */
    if Treatment = 'DrugA' then trtn = 1;
    else if Treatment = 'DrugB' then trtn = 2;
    else if Treatment = 'Refer' then trtn = 3;

    /* Numeric representation for Age_Group */
    if Age_Group = '5-13' then agegrpn = 1;
    else if Age_Group = '14-21' then agegrpn = 2;
    else if Age_Group = '22-35' then agegrpn = 3;

    datalines;
S01 5-13 DrugA 6000
S02 5-13 DrugA 7000
S03 5-13 DrugB 8000
S04 5-13 DrugB 9000
S05 5-13 Refer 500
S06 5-13 Refer 12000
S07 5-13 DrugA 10000
S08 5-13 DrugB 11000
S09 5-13 Refer 400
S10 14-21 DrugA 4000
S11 14-21 DrugA 5000
S12 14-21 DrugB 6000
S13 5-13 DrugB 7000
S14 14-21 Refer 1000
S15 14-21 Refer 300
S16 22-35 DrugA 8000
S17 14-21 DrugB 9000
S18 14-21 Refer 100
S19 22-35 DrugA 200
S20 22-35 DrugA 300
S21 22-35 DrugB 400
S22 22-35 DrugB 500
S23 22-35 Refer 50
S24 14-21 Refer 100
S25 22-35 DrugA 600
S26 22-35 DrugB 700
S27 22-35 Refer 150
S28 5-13 DrugA 8000
;
run;

data dummy_data;
length treatment _treatment $ 40;
    set dummy_data;
   _treatment=treatment;
	treatment=cats(_treatment,'2019');
    output; 

    /* Modify for Year 2010 */
    Year = 2010;
    AVAL = AVAL + 1000;
	treatment=cats(_treatment,'2020');
    output; 
run;

proc sort data=dummy_data; 
by treatment agegrpn; 
run;

proc means data=dummy_data nway noprint;
/*	by trtn strat2rn;*/
/*	var pchg;*/
by treatment agegrpn; 
	var aval;
	*output out=statall min= max= median= mean= n= q1 = q3 =/autoname;
	output out=stat n=n mean=mean median=median;
run;
data final;
	merge dummy_data stat(drop=_:);
	by treatment agegrpn; 
	num =1;
if TREATMENT='DrugA2019' then do;mean1=mean;median1=median;end;
if TREATMENT='DrugA2020' then do;mean11=mean;median11=median;end;

if TREATMENT='DrugB2019' then do;mean2=mean;median2=median;end;
if TREATMENT='DrugB2020' then do;mean22=mean;median22=median;end;

if TREATMENT='Refer2019' then do;mean3=mean;median3=median;end;
if TREATMENT='Refer2020' then do;mean33=mean;median33=median;end;

run;

proc sort data=final;by treatment;run;


proc template;
    define statgraph boxplot;

    begingraph /
datacolors=(lightblue  lightblue  lightgreen lightgreen   lightgrey  lightgrey)
datacontrastcolors=(lightblue  lightblue  lightgreen lightgreen   lightgrey  lightgrey) 
datasymbols=(trianglefilled trianglefilled squarefilled squarefilled circlefilled circlefilled);

        /* Define Custom Attributes for Age Groups */
        discreteattrmap name="groupline" / ignorecase=true;
            value 'DrugA' / lineattrs=(color=lightblue pattern=1 thickness=2px)
                markerattrs=(color=lightblue symbol=trianglefilled size=8pt)
                textattrs=(color=lightblue);
            value 'DrugB' / lineattrs=(color=lightgreen pattern=1 thickness=2px)
                markerattrs=(color=green symbol=squarefilled size=8pt)
                textattrs=(color=lightgreen);
            value 'Refer' / lineattrs=(color=grey pattern=1 thickness=2px)
                markerattrs=(color=grey symbol=circlefilled size=8pt)
                textattrs=(color=grey);
        enddiscreteattrmap;

        discreteattrvar attrvar=trtgrp var=trtn attrmap='groupline';

        /* Add Custom Legends */
        legenditem type=markerline name='A' / lineattrs=(color=blue pattern=1 thickness=2px)
            markerattrs=(color=blue size=8pt symbol=trianglefilled)
            label="DrugA" labelattrs=(size=9pt);
        legenditem type=markerline name='B' / lineattrs=(color=green pattern=1 thickness=2px)
            markerattrs=(color=green size=8pt symbol=squarefilled)
            label="DrugB" labelattrs=(size=9pt);
        legenditem type=markerline name='R' / lineattrs=(color=grey pattern=1 thickness=2px)
            markerattrs=(color=grey size=8pt symbol=circlefilled)
            label="Refer" labelattrs=(size=9pt);

        layout overlay / 
            xaxisopts=(offsetmin=0.12 offsetmax=0.12 label="Age Groups" labelattrs=(size=12pt weight=bold) 
                tickvalueattrs=(size=12pt weight=bold))
            yaxisopts=(offsetmin=0.05 offsetmax=0.05 label="Results" labelfitpolicy=splitalways labelsplitchar='^' 
                labelattrs=(size=11pt weight=bold) tickvalueattrs=(size=12pt weight=bold) 
                linearopts=(tickvaluesequence=(start=-2000 end=15000 increment=1000) viewmin=-2000 viewmax=15000));

        /* Reference Line */
        referenceline y=0 / lineattrs=(color=grey pattern=3);

        /* Box Plot */
        boxplot x=agegrpn y=AVAL / group=treatment groupdisplay=cluster boxwidth=0.56 clusterwidth=0.53  ;

        /*scatter of mean*/
	   scatterplot x=agegrpn y=mean1/group=treatment groupdisplay=cluster clusterwidth=0.53  markerattrs=(symbol=trianglefilled color=blue);
	   scatterplot x=agegrpn y=mean11/group=treatment groupdisplay=cluster clusterwidth=0.53  markerattrs=(symbol=trianglefilled color=blue);

	   scatterplot x=agegrpn y=mean2/group=treatment groupdisplay=cluster clusterwidth=0.53  markerattrs=(symbol=squarefilled color=green);
	   scatterplot x=agegrpn y=mean22/group=treatment groupdisplay=cluster clusterwidth=0.53  markerattrs=(symbol=squarefilled color=green);

       scatterplot x=agegrpn y=mean3/group=treatment groupdisplay=cluster clusterwidth=0.53  markerattrs=(symbol=circlefilled color=grey);
       scatterplot x=agegrpn y=mean33/group=treatment groupdisplay=cluster clusterwidth=0.53  markerattrs=(symbol=circlefilled color=grey);

        /*scatter of median*/
	   highlowplot x=agegrpn low=median1 high=median1/group=treatment groupdisplay=cluster clusterwidth=0.53 type=bar barwidth=0.6 outlineattrs=(thickness=2px color=blue) ;
	   highlowplot x=agegrpn low=median11 high=median11/group=treatment groupdisplay=cluster clusterwidth=0.53 type=bar barwidth=0.6 outlineattrs=(thickness=2px color=blue) ;

       highlowplot x=agegrpn low=median2 high=median2/group=treatment groupdisplay=cluster clusterwidth=0.53 type=bar barwidth=0.6 outlineattrs=(thickness=2px color=green) ;
       highlowplot x=agegrpn low=median22 high=median22/group=treatment groupdisplay=cluster clusterwidth=0.53 type=bar barwidth=0.6 outlineattrs=(thickness=2px color=green) ;

       highlowplot x=agegrpn low=median3 high=median3/group=treatment groupdisplay=cluster clusterwidth=0.53 type=bar barwidth=0.6 outlineattrs=(thickness=2px color=grey) ;
       highlowplot x=agegrpn low=median33 high=median33/group=treatment groupdisplay=cluster clusterwidth=0.53 type=bar barwidth=0.6 outlineattrs=(thickness=2px color=grey) ;

        /* Legend */
        discretelegend 'A' 'B' 'R' / down=1 border=false;

        /* Axis Table */
        innermargin;
            axistable x=agegrpn value=num / class=treatment  classdisplay=cluster clusterwidth=0.53 classorder=ascending 
                valueattrs=(weight=bold size=12) labelattrs=(weight=bold) colorgroup=trtgrp ; 
        endinnermargin;

        endlayout;
    endgraph;
end;
run;
proc format;
   value agegrpn
      1="5-13"
      2="14-21"
      3="22-35"
			;
	value treatment 
		1="DrugA"
		2="DrugB"
		3="Refer"
			;
run;


/* Generate the Graph */
options orientation = landscape errors = 2 missing = ' ' nofmterr ls = 175 validvarname = upcase  nobyline;

ods escapechar = '^';
ods results on; 
ods listing close; 
ods rtf file = "C:\temp\test.rtf" ; 
ods graphics on / imagefmt=png attrpriority=none height=4.8 in width=8.5 in border=off;

proc sgrender data=final template=boxplot;
    format trtn treatment. agegrpn agegrpn.;
run;

ods rtf close;
ods listing;

Re: BOX Plot customization using Proc Template

SASuserlot — Sun, 05 Jan 2025 01:37:40 GMT

Thanks for your Response. I created the Dummy data with Year and Increased the AVAL for the 2010 Year. The rest of the Proc Template code is already there in the previous post. If you need anything else please let me know.

/* Step 1: Create Dummy Dataset */
data dummy_data;
    input Subjid $ Age_Group $ Treatment $ AVAL;
    
    /* Numeric representation for Treatment */
    if Treatment = 'DrugA' then trtn = 1;
    else if Treatment = 'DrugB' then trtn = 2;
    else if Treatment = 'Refer' then trtn = 3;

    /* Numeric representation for Age_Group */
    if Age_Group = '5-13' then agegrpn = 1;
    else if Age_Group = '14-21' then agegrpn = 2;
    else if Age_Group = '22-35' then agegrpn = 3;

    /* Year for original data */
    Year = 2009;

    datalines;
S01 5-13 DrugA 6000
S02 5-13 DrugA 7000
S03 5-13 DrugB 8000
S04 5-13 DrugB 9000
S05 5-13 Refer 500
S06 5-13 Refer 12000
S07 5-13 DrugA 10000
S08 5-13 DrugB 11000
S09 5-13 Refer 400
S10 14-21 DrugA 4000
S11 14-21 DrugA 5000
S12 14-21 DrugB 6000
S13 5-13 DrugB 7000
S14 14-21 Refer 1000
S15 14-21 Refer 300
S16 22-35 DrugA 8000
S17 14-21 DrugB 9000
S18 14-21 Refer 100
S19 22-35 DrugA 200
S20 22-35 DrugA 300
S21 22-35 DrugB 400
S22 22-35 DrugB 500
S23 22-35 Refer 50
S24 14-21 Refer 100
S25 22-35 DrugA 600
S26 22-35 DrugB 700
S27 22-35 Refer 150
S28 5-13 DrugA 8000
;
run;

data dummy_data_final;
    set dummy_data;
    output; 

    /* Modify for Year 2010 */
    Year = 2010;
    AVAL = AVAL + 1000;
    output; 
run;

Re: BOX Plot customization using Proc Template

SASuserlot — Sun, 05 Jan 2025 02:15:05 GMT

Perfect. Thank you.🙏🙏

Re: BOX Plot customization using Proc Template

Ksharp — Sun, 05 Jan 2025 02:15:44 GMT

My post above has been updated.

Re: BOX Plot customization using Proc Template

SASuserlot — Sun, 05 Jan 2025 20:37:55 GMT

Hi @Ksharp is this possible the x-axis table can we group together and present it once? These numbers will be same all the time.

Re: BOX Plot customization using Proc Template

Ksharp — Mon, 06 Jan 2025 01:03:47 GMT

Sure. Of course.

/* Step 1: Create Dummy Dataset */
data dummy_data;
    input Subjid $ Age_Group $ Treatment $ AVAL;
    
    /* Numeric representation for Treatment */
    if Treatment = 'DrugA' then trtn = 1;
    else if Treatment = 'DrugB' then trtn = 2;
    else if Treatment = 'Refer' then trtn = 3;

    /* Numeric representation for Age_Group */
    if Age_Group = '5-13' then agegrpn = 1;
    else if Age_Group = '14-21' then agegrpn = 2;
    else if Age_Group = '22-35' then agegrpn = 3;

    datalines;
S01 5-13 DrugA 6000
S02 5-13 DrugA 7000
S03 5-13 DrugB 8000
S04 5-13 DrugB 9000
S05 5-13 Refer 500
S06 5-13 Refer 12000
S07 5-13 DrugA 10000
S08 5-13 DrugB 11000
S09 5-13 Refer 400
S10 14-21 DrugA 4000
S11 14-21 DrugA 5000
S12 14-21 DrugB 6000
S13 5-13 DrugB 7000
S14 14-21 Refer 1000
S15 14-21 Refer 300
S16 22-35 DrugA 8000
S17 14-21 DrugB 9000
S18 14-21 Refer 100
S19 22-35 DrugA 200
S20 22-35 DrugA 300
S21 22-35 DrugB 400
S22 22-35 DrugB 500
S23 22-35 Refer 50
S24 14-21 Refer 100
S25 22-35 DrugA 600
S26 22-35 DrugB 700
S27 22-35 Refer 150
S28 5-13 DrugA 8000
;
run;

data dummy_data;
length treatment _treatment $ 40;
    set dummy_data;
   _treatment=treatment;
	treatment=cats(_treatment,'2019');
    output; 

    /* Modify for Year 2010 */
    Year = 2010;
    AVAL = AVAL + 1000;
	treatment=cats(_treatment,'2020');
    output; 
run;

proc sort data=dummy_data; 
by treatment agegrpn; 
run;

proc means data=dummy_data nway noprint;
/*	by trtn strat2rn;*/
/*	var pchg;*/
by treatment agegrpn; 
	var aval;
	*output out=statall min= max= median= mean= n= q1 = q3 =/autoname;
	output out=stat n=n mean=mean median=median;
run;
data final;
	merge dummy_data stat(drop=_:);
	by treatment agegrpn; 
	num =1;
if TREATMENT=:'DrugA' then do;mean1=mean;median1=median;end;
if TREATMENT=:'DrugB' then do;mean2=mean;median2=median;end;
if TREATMENT=:'Refer' then do;mean3=mean;median3=median;end;
run;

proc sort data=final;by treatment;run;


proc template;
    define statgraph boxplot;

    begingraph /
datacolors=(lightblue  lightblue  lightgreen lightgreen   lightgrey  lightgrey)
datacontrastcolors=(lightblue  lightblue  lightgreen lightgreen   lightgrey  lightgrey) 
datasymbols=(trianglefilled trianglefilled squarefilled squarefilled circlefilled circlefilled);

        /* Define Custom Attributes for Age Groups */
        discreteattrmap name="groupline" / ignorecase=true;
            value 'DrugA' / lineattrs=(color=lightblue pattern=1 thickness=2px)
                markerattrs=(color=lightblue symbol=trianglefilled size=8pt)
                textattrs=(color=lightblue);
            value 'DrugB' / lineattrs=(color=lightgreen pattern=1 thickness=2px)
                markerattrs=(color=green symbol=squarefilled size=8pt)
                textattrs=(color=lightgreen);
            value 'Refer' / lineattrs=(color=grey pattern=1 thickness=2px)
                markerattrs=(color=grey symbol=circlefilled size=8pt)
                textattrs=(color=grey);
        enddiscreteattrmap;

        discreteattrvar attrvar=trtgrp var=trtn attrmap='groupline';

        /* Add Custom Legends */
        legenditem type=markerline name='A' / lineattrs=(color=blue pattern=1 thickness=2px)
            markerattrs=(color=blue size=8pt symbol=trianglefilled)
            label="DrugA" labelattrs=(size=9pt);
        legenditem type=markerline name='B' / lineattrs=(color=green pattern=1 thickness=2px)
            markerattrs=(color=green size=8pt symbol=squarefilled)
            label="DrugB" labelattrs=(size=9pt);
        legenditem type=markerline name='R' / lineattrs=(color=grey pattern=1 thickness=2px)
            markerattrs=(color=grey size=8pt symbol=circlefilled)
            label="Refer" labelattrs=(size=9pt);

        layout overlay / 
            xaxisopts=(offsetmin=0.12 offsetmax=0.12 label="Age Groups" labelattrs=(size=12pt weight=bold) 
                tickvalueattrs=(size=12pt weight=bold))
            yaxisopts=(offsetmin=0.05 offsetmax=0.05 label="Results" labelfitpolicy=splitalways labelsplitchar='^' 
                labelattrs=(size=11pt weight=bold) tickvalueattrs=(size=12pt weight=bold) 
                linearopts=(tickvaluesequence=(start=-2000 end=15000 increment=1000) viewmin=-2000 viewmax=15000));

        /* Reference Line */
        referenceline y=0 / lineattrs=(color=grey pattern=3);

        /* Box Plot */
        boxplot x=agegrpn y=AVAL / group=treatment groupdisplay=cluster boxwidth=0.56 clusterwidth=0.53  ;

        /*scatter of mean*/
	   scatterplot x=agegrpn y=mean1/group=treatment groupdisplay=cluster clusterwidth=0.53  markerattrs=(symbol=trianglefilled color=blue);
	   scatterplot x=agegrpn y=mean2/group=treatment groupdisplay=cluster clusterwidth=0.53  markerattrs=(symbol=squarefilled color=green);
       scatterplot x=agegrpn y=mean3/group=treatment groupdisplay=cluster clusterwidth=0.53  markerattrs=(symbol=circlefilled color=grey);

        /*scatter of median*/
	   highlowplot x=agegrpn low=median1 high=median1/group=treatment groupdisplay=cluster clusterwidth=0.53 type=bar barwidth=0.6 outlineattrs=(thickness=2px color=blue) ;
       highlowplot x=agegrpn low=median2 high=median2/group=treatment groupdisplay=cluster clusterwidth=0.53 type=bar barwidth=0.6 outlineattrs=(thickness=2px color=green) ;
       highlowplot x=agegrpn low=median3 high=median3/group=treatment groupdisplay=cluster clusterwidth=0.53 type=bar barwidth=0.6 outlineattrs=(thickness=2px color=grey) ;

        /* Legend */
        discretelegend 'A' 'B' 'R' / down=1 border=false;

        /* Axis Table */
        innermargin;
            axistable x=agegrpn value=num / class=trtn  classdisplay=cluster clusterwidth=0.53 classorder=ascending 
                valueattrs=(weight=bold size=12) labelattrs=(weight=bold) colorgroup=trtgrp ; 
        endinnermargin;

        endlayout;
    endgraph;
end;
run;
proc format;
   value agegrpn
      1="5-13"
      2="14-21"
      3="22-35"
			;
	value treatment 
		1="DrugA"
		2="DrugB"
		3="Refer"
			;
run;


/* Generate the Graph */
options orientation = landscape errors = 2 missing = ' ' nofmterr ls = 175 validvarname = upcase  nobyline;

ods escapechar = '^';
ods results on; 
ods listing close; 
ods rtf file = "C:\temp\test.rtf" ; 
ods graphics on / imagefmt=png attrpriority=none height=4.8 in width=8.5 in border=off;

proc sgrender data=final template=boxplot;
    format trtn treatment. agegrpn agegrpn.;
run;

ods rtf close;
ods listing;

Re: BOX Plot customization using Proc Template

SASuserlot — Mon, 06 Jan 2025 01:21:54 GMT

Thanks for taking time to make it. I really appreciate it. I tried it unfortunately the number were adding up from 2009 and 2010. For example first blue group 4 in 2009 and 2010 , so I am expecting to display only 4 count.

Re: BOX Plot customization using Proc Template

Ksharp — Mon, 06 Jan 2025 01:27:34 GMT

You could set NUM=. when year=2010.

I think it is easy for you , isn't it ?

/* Step 1: Create Dummy Dataset */
data dummy_data;
    input Subjid $ Age_Group $ Treatment $ AVAL;
    
    /* Numeric representation for Treatment */
    if Treatment = 'DrugA' then trtn = 1;
    else if Treatment = 'DrugB' then trtn = 2;
    else if Treatment = 'Refer' then trtn = 3;

    /* Numeric representation for Age_Group */
    if Age_Group = '5-13' then agegrpn = 1;
    else if Age_Group = '14-21' then agegrpn = 2;
    else if Age_Group = '22-35' then agegrpn = 3;

    datalines;
S01 5-13 DrugA 6000
S02 5-13 DrugA 7000
S03 5-13 DrugB 8000
S04 5-13 DrugB 9000
S05 5-13 Refer 500
S06 5-13 Refer 12000
S07 5-13 DrugA 10000
S08 5-13 DrugB 11000
S09 5-13 Refer 400
S10 14-21 DrugA 4000
S11 14-21 DrugA 5000
S12 14-21 DrugB 6000
S13 5-13 DrugB 7000
S14 14-21 Refer 1000
S15 14-21 Refer 300
S16 22-35 DrugA 8000
S17 14-21 DrugB 9000
S18 14-21 Refer 100
S19 22-35 DrugA 200
S20 22-35 DrugA 300
S21 22-35 DrugB 400
S22 22-35 DrugB 500
S23 22-35 Refer 50
S24 14-21 Refer 100
S25 22-35 DrugA 600
S26 22-35 DrugB 700
S27 22-35 Refer 150
S28 5-13 DrugA 8000
;
run;

data dummy_data;
length treatment _treatment $ 40;
    set dummy_data;
   _treatment=treatment;
	treatment=cats(_treatment,'2019');
    output; 

    /* Modify for Year 2010 */
    Year = 2010;
    AVAL = AVAL + 1000;
	treatment=cats(_treatment,'2020');
    output; 
run;

proc sort data=dummy_data; 
by treatment agegrpn; 
run;

proc means data=dummy_data nway noprint;
/*	by trtn strat2rn;*/
/*	var pchg;*/
by treatment agegrpn; 
	var aval;
	*output out=statall min= max= median= mean= n= q1 = q3 =/autoname;
	output out=stat n=n mean=mean median=median;
run;
data final;
	merge dummy_data stat(drop=_:);
	by treatment agegrpn; 
	num =1;
if TREATMENT=:'DrugA' then do;mean1=mean;median1=median;end;
if TREATMENT=:'DrugB' then do;mean2=mean;median2=median;end;
if TREATMENT=:'Refer' then do;mean3=mean;median3=median;end;

if year=2010 then call missing(num);
run;

proc sort data=final;by treatment;run;


proc template;
    define statgraph boxplot;

    begingraph /
datacolors=(lightblue  lightblue  lightgreen lightgreen   lightgrey  lightgrey)
datacontrastcolors=(lightblue  lightblue  lightgreen lightgreen   lightgrey  lightgrey) 
datasymbols=(trianglefilled trianglefilled squarefilled squarefilled circlefilled circlefilled);

        /* Define Custom Attributes for Age Groups */
        discreteattrmap name="groupline" / ignorecase=true;
            value 'DrugA' / lineattrs=(color=lightblue pattern=1 thickness=2px)
                markerattrs=(color=lightblue symbol=trianglefilled size=8pt)
                textattrs=(color=lightblue);
            value 'DrugB' / lineattrs=(color=lightgreen pattern=1 thickness=2px)
                markerattrs=(color=green symbol=squarefilled size=8pt)
                textattrs=(color=lightgreen);
            value 'Refer' / lineattrs=(color=grey pattern=1 thickness=2px)
                markerattrs=(color=grey symbol=circlefilled size=8pt)
                textattrs=(color=grey);
        enddiscreteattrmap;

        discreteattrvar attrvar=trtgrp var=trtn attrmap='groupline';

        /* Add Custom Legends */
        legenditem type=markerline name='A' / lineattrs=(color=blue pattern=1 thickness=2px)
            markerattrs=(color=blue size=8pt symbol=trianglefilled)
            label="DrugA" labelattrs=(size=9pt);
        legenditem type=markerline name='B' / lineattrs=(color=green pattern=1 thickness=2px)
            markerattrs=(color=green size=8pt symbol=squarefilled)
            label="DrugB" labelattrs=(size=9pt);
        legenditem type=markerline name='R' / lineattrs=(color=grey pattern=1 thickness=2px)
            markerattrs=(color=grey size=8pt symbol=circlefilled)
            label="Refer" labelattrs=(size=9pt);

        layout overlay / 
            xaxisopts=(offsetmin=0.12 offsetmax=0.12 label="Age Groups" labelattrs=(size=12pt weight=bold) 
                tickvalueattrs=(size=12pt weight=bold))
            yaxisopts=(offsetmin=0.05 offsetmax=0.05 label="Results" labelfitpolicy=splitalways labelsplitchar='^' 
                labelattrs=(size=11pt weight=bold) tickvalueattrs=(size=12pt weight=bold) 
                linearopts=(tickvaluesequence=(start=-2000 end=15000 increment=1000) viewmin=-2000 viewmax=15000));

        /* Reference Line */
        referenceline y=0 / lineattrs=(color=grey pattern=3);

        /* Box Plot */
        boxplot x=agegrpn y=AVAL / group=treatment groupdisplay=cluster boxwidth=0.56 clusterwidth=0.53  ;

        /*scatter of mean*/
	   scatterplot x=agegrpn y=mean1/group=treatment groupdisplay=cluster clusterwidth=0.53  markerattrs=(symbol=trianglefilled color=blue);
	   scatterplot x=agegrpn y=mean2/group=treatment groupdisplay=cluster clusterwidth=0.53  markerattrs=(symbol=squarefilled color=green);
       scatterplot x=agegrpn y=mean3/group=treatment groupdisplay=cluster clusterwidth=0.53  markerattrs=(symbol=circlefilled color=grey);

        /*scatter of median*/
	   highlowplot x=agegrpn low=median1 high=median1/group=treatment groupdisplay=cluster clusterwidth=0.53 type=bar barwidth=0.6 outlineattrs=(thickness=2px color=blue) ;
       highlowplot x=agegrpn low=median2 high=median2/group=treatment groupdisplay=cluster clusterwidth=0.53 type=bar barwidth=0.6 outlineattrs=(thickness=2px color=green) ;
       highlowplot x=agegrpn low=median3 high=median3/group=treatment groupdisplay=cluster clusterwidth=0.53 type=bar barwidth=0.6 outlineattrs=(thickness=2px color=grey) ;

        /* Legend */
        discretelegend 'A' 'B' 'R' / down=1 border=false;

        /* Axis Table */
        innermargin;
            axistable x=agegrpn value=num / class=trtn  classdisplay=cluster clusterwidth=0.53 classorder=ascending 
                valueattrs=(weight=bold size=12) labelattrs=(weight=bold) colorgroup=trtgrp ; 
        endinnermargin;

        endlayout;
    endgraph;
end;
run;
proc format;
   value agegrpn
      1="5-13"
      2="14-21"
      3="22-35"
			;
	value treatment 
		1="DrugA"
		2="DrugB"
		3="Refer"
			;
run;


/* Generate the Graph */
options orientation = landscape errors = 2 missing = ' ' nofmterr ls = 175 validvarname = upcase  nobyline;

ods escapechar = '^';
ods results on; 
ods listing close; 
ods rtf file = "C:\temp\test.rtf" ; 
ods graphics on / imagefmt=png attrpriority=none height=4.8 in width=8.5 in border=off;

proc sgrender data=final template=boxplot;
    format trtn treatment. agegrpn agegrpn.;
run;

ods rtf close;
ods listing;

Re: BOX Plot customization using Proc Template

SASuserlot — Mon, 06 Jan 2025 01:33:10 GMT

I should have done that, I tried make it missing instead so I ended up dot symbols in graphs. Your solution is worked. Thanks again for your help.

Re: BOX Plot customization using Proc Template

SASuserlot — Mon, 06 Jan 2025 05:55:14 GMT

Hi @Ksharp , How Can I reduce the gap between the two groups? I tried reducing the cluster width, but it did not change anything. Since the bars look too narrow, I wanted to reduce the gap and increase the width. I tried increasing and decreasing the numbers, but it did not work. Is it because of Page width?

Re: BOX Plot customization using Proc Template

Ksharp — Mon, 06 Jan 2025 06:39:58 GMT

I think you owe me two hundred dollars.

And you could use options offsetmin= ,offsetmax=, clusterwidht= to adjust the distance between box.

/* Step 1: Create Dummy Dataset */
data dummy_data;
    input Subjid $ Age_Group $ Treatment $ AVAL;
    
    /* Numeric representation for Treatment */
    if Treatment = 'DrugA' then trtn = 1;
    else if Treatment = 'DrugB' then trtn = 2;
    else if Treatment = 'Refer' then trtn = 3;

    /* Numeric representation for Age_Group */
    if Age_Group = '5-13' then agegrpn = 1;
    else if Age_Group = '14-21' then agegrpn = 2;
    else if Age_Group = '22-35' then agegrpn = 3;

    datalines;
S01 5-13 DrugA 6000
S02 5-13 DrugA 7000
S03 5-13 DrugB 8000
S04 5-13 DrugB 9000
S05 5-13 Refer 500
S06 5-13 Refer 12000
S07 5-13 DrugA 10000
S08 5-13 DrugB 11000
S09 5-13 Refer 400
S10 14-21 DrugA 4000
S11 14-21 DrugA 5000
S12 14-21 DrugB 6000
S13 5-13 DrugB 7000
S14 14-21 Refer 1000
S15 14-21 Refer 300
S16 22-35 DrugA 8000
S17 14-21 DrugB 9000
S18 14-21 Refer 100
S19 22-35 DrugA 200
S20 22-35 DrugA 300
S21 22-35 DrugB 400
S22 22-35 DrugB 500
S23 22-35 Refer 50
S24 14-21 Refer 100
S25 22-35 DrugA 600
S26 22-35 DrugB 700
S27 22-35 Refer 150
S28 5-13 DrugA 8000
;
run;

data dummy_data;
length treatment _treatment $ 40;
    set dummy_data;
   _treatment=treatment;
	treatment=cats(_treatment,'2019');
    output; 

    /* Modify for Year 2010 */
    Year = 2010;
    AVAL = AVAL + 1000;
	treatment=cats(_treatment,'2020');
    output; 
run;

proc sort data=dummy_data; 
by treatment agegrpn; 
run;

proc means data=dummy_data nway noprint;
/*	by trtn strat2rn;*/
/*	var pchg;*/
by treatment agegrpn; 
	var aval;
	*output out=statall min= max= median= mean= n= q1 = q3 =/autoname;
	output out=stat n=n mean=mean median=median;
run;
data final;
	merge dummy_data stat(drop=_:);
	by treatment agegrpn; 
	num =1;
if TREATMENT=:'DrugA' then do;mean1=mean;median1=median;end;
if TREATMENT=:'DrugB' then do;mean2=mean;median2=median;end;
if TREATMENT=:'Refer' then do;mean3=mean;median3=median;end;

if year=2010 then call missing(num);
run;

proc sort data=final;by treatment;run;


proc template;
    define statgraph boxplot;

    begingraph /
datacolors=(lightblue  lightblue  lightgreen lightgreen   lightgrey  lightgrey)
datacontrastcolors=(lightblue  lightblue  lightgreen lightgreen   lightgrey  lightgrey) 
datasymbols=(trianglefilled trianglefilled squarefilled squarefilled circlefilled circlefilled);

        /* Define Custom Attributes for Age Groups */
        discreteattrmap name="groupline" / ignorecase=true;
            value 'DrugA' / lineattrs=(color=lightblue pattern=1 thickness=2px)
                markerattrs=(color=lightblue symbol=trianglefilled size=8pt)
                textattrs=(color=lightblue);
            value 'DrugB' / lineattrs=(color=lightgreen pattern=1 thickness=2px)
                markerattrs=(color=green symbol=squarefilled size=8pt)
                textattrs=(color=lightgreen);
            value 'Refer' / lineattrs=(color=grey pattern=1 thickness=2px)
                markerattrs=(color=grey symbol=circlefilled size=8pt)
                textattrs=(color=grey);
        enddiscreteattrmap;

        discreteattrvar attrvar=trtgrp var=trtn attrmap='groupline';

        /* Add Custom Legends */
        legenditem type=markerline name='A' / lineattrs=(color=blue pattern=1 thickness=2px)
            markerattrs=(color=blue size=8pt symbol=trianglefilled)
            label="DrugA" labelattrs=(size=9pt);
        legenditem type=markerline name='B' / lineattrs=(color=green pattern=1 thickness=2px)
            markerattrs=(color=green size=8pt symbol=squarefilled)
            label="DrugB" labelattrs=(size=9pt);
        legenditem type=markerline name='R' / lineattrs=(color=grey pattern=1 thickness=2px)
            markerattrs=(color=grey size=8pt symbol=circlefilled)
            label="Refer" labelattrs=(size=9pt);

        layout overlay / 
            xaxisopts=(offsetmin=0.2 offsetmax=0.2 label="Age Groups" labelattrs=(size=12pt weight=bold) 
                tickvalueattrs=(size=12pt weight=bold))
            yaxisopts=(offsetmin=0.05 offsetmax=0.05 label="Results" labelfitpolicy=splitalways labelsplitchar='^' 
                labelattrs=(size=11pt weight=bold) tickvalueattrs=(size=12pt weight=bold) 
                linearopts=(tickvaluesequence=(start=-2000 end=15000 increment=1000) viewmin=-2000 viewmax=15000));

        /* Reference Line */
        referenceline y=0 / lineattrs=(color=grey pattern=3);

        /* Box Plot */
        boxplot x=agegrpn y=AVAL / group=treatment groupdisplay=cluster boxwidth=0.6  clusterwidth=0.9  ;

        /*scatter of mean*/
	   scatterplot x=agegrpn y=mean1/group=treatment groupdisplay=cluster clusterwidth=0.9  markerattrs=(symbol=trianglefilled color=blue);
	   scatterplot x=agegrpn y=mean2/group=treatment groupdisplay=cluster clusterwidth=0.9  markerattrs=(symbol=squarefilled color=green);
       scatterplot x=agegrpn y=mean3/group=treatment groupdisplay=cluster clusterwidth=0.9  markerattrs=(symbol=circlefilled color=grey);

        /*scatter of median*/
	   highlowplot x=agegrpn low=median1 high=median1/group=treatment groupdisplay=cluster clusterwidth=0.9 type=bar barwidth=0.6 outlineattrs=(thickness=2px color=blue) ;
       highlowplot x=agegrpn low=median2 high=median2/group=treatment groupdisplay=cluster clusterwidth=0.9 type=bar barwidth=0.6 outlineattrs=(thickness=2px color=green) ;
       highlowplot x=agegrpn low=median3 high=median3/group=treatment groupdisplay=cluster clusterwidth=0.9 type=bar barwidth=0.6 outlineattrs=(thickness=2px color=grey) ;

        /* Legend */
        discretelegend 'A' 'B' 'R' / down=1 border=false;

        /* Axis Table */
        innermargin;
            axistable x=agegrpn value=num / class=trtn  classdisplay=cluster clusterwidth=0.9 classorder=ascending 
                valueattrs=(weight=bold size=12) labelattrs=(weight=bold) colorgroup=trtgrp ; 
        endinnermargin;

        endlayout;
    endgraph;
end;
run;
proc format;
   value agegrpn
      1="5-13"
      2="14-21"
      3="22-35"
			;
	value treatment 
		1="DrugA"
		2="DrugB"
		3="Refer"
			;
run;


/* Generate the Graph */
options orientation = landscape errors = 2 missing = ' ' nofmterr ls = 175 validvarname = upcase  nobyline;

ods escapechar = '^';
ods results on; 
ods listing close; 
ods rtf file = "C:\temp\test.rtf" ; 
ods graphics on / imagefmt=png attrpriority=none height=4.8 in width=8.5 in border=off;

proc sgrender data=final template=boxplot;
    format trtn treatment. agegrpn agegrpn.;
run;

ods rtf close;
ods listing;

Re: BOX Plot customization using Proc Template

SASuserlot — Mon, 06 Jan 2025 07:21:01 GMT

Thanks. Sorry for bothering. Yes your time definitely worth more than that. Thanks again .