Hello Everyone,
I have created a survival graph with multiple groups as below.
As you look here it is a bit clustered at the top of the graph.
Is there any procedure or way to zoom the graph? so can analyze properly.
ODS PDF file='survival_Ethnicity white race by SES.pdf';
ods graphics on / imagefmt=png imagename= "Surival for Ethnicity by White Race and SES";
proc lifetest data = adsl3 method=KM plots=s(test)
timelist = 0 1 2 5 10 15 20 25 30 CONFTYPE= linear;
time Years*death(0);
strata race_ses_white;
title1 "Overall Survival Ethnicity by White Race by SES";
run ;
Hi @RAVI2000,
Perhaps you can use the MIN option in the YAXIS statement to make the graph go from 0.4 to 1.
Please see the example below:
options nodate nonumber;
ods escapechar='^';
ods listing close;
ods graphics on;
ods output survivalplot = sj.survplot;
proc lifetest data = sj.adsl3 method = km plots=s(test)
timelist = 0 1 2 5 10 15 20 25 30 conftype = linear;
time years * death(0);
strata ses;
run;
ods tagsets.rtf file = "/home/Projects/programs/exhibit_01.rtf";
ods graphics on / height = 8in width = 9in;
title1 j=c h=12pt font = arial "Overall Survival by SES";
proc sgplot data = sj.survplot;
step x=time y=survival /group=stratum name='s' lineattrs=(pattern=solid);
xaxis label="Years" values=(0 to 5 by 1);
yaxis label="Survival Probability" values=(0.4 to 1 by 0.2);
scatter x=time y=censored / markerattrs=(symbol=plus) name='c';
scatter x=time y=censored / markerattrs=(symbol=plus) group=stratum;
keylegend 'c'/location=inside position=topright;
keylegend 's'/location=inside position=bottomleft;
run;
ods tagsets.rtf close;
ods listing;
May also want to set the graph to make a wider display using Ods graphics /width = <something>.
Or create a data set and use that data for SGPLOT where you can apply more controls.
options nodate nonumber;
ods escapechar='^';
ods listing close;
ods graphics on;
ods output survivalplot = sj.survplot;
proc lifetest data = sj.adsl3 method = km plots=s(test)
timelist = 0 1 2 5 10 15 20 25 30 conftype = linear;
time years * death(0);
strata ses;
run;
ods tagsets.rtf file = "/home/Projects/programs/exhibit_01.rtf";
ods graphics on / height = 8in width = 9in;
title1 j=c h=12pt font = arial "Overall Survival by SES";
proc sgplot data = sj.survplot;
step x=time y=survival /group=stratum name='s' lineattrs=(pattern=solid);
xaxis label="Years" values=(0 to 5 by 1);
yaxis label="Survival Probability" values=(0 to 1 by 0.2);
scatter x=time y=censored / markerattrs=(symbol=plus) name='c';
scatter x=time y=censored / markerattrs=(symbol=plus) group=stratum;
keylegend 'c'/location=inside position=topright;
keylegend 's'/location=inside position=bottomleft;
run;
ods tagsets.rtf close;
ods listing;
I have given height and width option in ODS but still not getting desired output zoomed.
I still feel the graph is clustered. Any other options @ballardw @Ksharp @whymath ? Thankyou!
Hi @RAVI2000,
Perhaps you can use the MIN option in the YAXIS statement to make the graph go from 0.4 to 1.
Please see the example below:
options nodate nonumber;
ods escapechar='^';
ods listing close;
ods graphics on;
ods output survivalplot = sj.survplot;
proc lifetest data = sj.adsl3 method = km plots=s(test)
timelist = 0 1 2 5 10 15 20 25 30 conftype = linear;
time years * death(0);
strata ses;
run;
ods tagsets.rtf file = "/home/Projects/programs/exhibit_01.rtf";
ods graphics on / height = 8in width = 9in;
title1 j=c h=12pt font = arial "Overall Survival by SES";
proc sgplot data = sj.survplot;
step x=time y=survival /group=stratum name='s' lineattrs=(pattern=solid);
xaxis label="Years" values=(0 to 5 by 1);
yaxis label="Survival Probability" values=(0.4 to 1 by 0.2);
scatter x=time y=censored / markerattrs=(symbol=plus) name='c';
scatter x=time y=censored / markerattrs=(symbol=plus) group=stratum;
keylegend 'c'/location=inside position=topright;
keylegend 's'/location=inside position=bottomleft;
run;
ods tagsets.rtf close;
ods listing;
Are you ready for the spotlight? We're accepting content ideas for SAS Innovate 2025 to be held May 6-9 in Orlando, FL. The call is open until September 25. Read more here about why you should contribute and what is in it for you!
Learn how use the CAT functions in SAS to join values from multiple variables into a single value.
Find more tutorials on the SAS Users YouTube channel.