How to customize and control text color using colorgroup in axistable within SAS PROC TEMPLATE?

[joycefilm]

Hi, experts,

I want to customize the text color within arrows. Set the labels and values for 'placebo' to red, and the labels and values for 'low dose' and 'high dose' to blue.

Here is the relevant code:

axistable x=category value=value /class=category colorgroup=category labelattrs=(size=12 weight=bold) valueattrs=(size=12 weight=bold);

Thanks for the advice.

[Ksharp]

proc format;
   value grpLabel 1='ALL' 2='AML low risk' 3='AML high risk';
run;

data BMT;
        input DIAGNOSIS Ftime Status Gender@@;
        label Ftime="Days";
        format Diagnosis grpLabel.;
datalines;
1       2081       0       1       1       1602    0       1
1       1496       0       1       1       1462    0       0
1       1433       0       1       1       1377    0       1
1       1330       0       1       1       996     0       1
1       226        0       0       1       1199    0       1
1       1111       0       1       1       530     0       1
1       1182       0       0       1       1167    0       0
1       418        2       1       1       383     1       1
1       276        2       0       1       104     1       1
1       609        1       1       1       172     2       0
1       487        2       1       1       662     1       1
1       194        2       0       1       230     1       0
1       526        2       1       1       122     2       1
1       129        1       0       1       74      1       1
1       122        1       0       1       86      2       1
1       466        2       1       1       192     1       1
1       109        1       1       1       55      1       0
1       1          2       1       1       107     2       1
1       110        1       0       1       332     2       1
2       2569       0       1       2       2506    0       1
2       2409       0       1       2       2218    0       1
2       1857       0       0       2       1829    0       1
2       1562       0       1       2       1470    0       1
2       1363       0       1       2       1030    0       0
2       860        0       0       2       1258    0       0
2       2246       0       0       2       1870    0       0
2       1799       0       1       2       1709    0       0
2       1674       0       1       2       1568    0       1
2       1527       0       0       2       1324    0       1
2       957        0       1       2       932     0       0
2       847        0       1       2       848     0       1
2       1850       0       0       2       1843    0       0
2       1535       0       0       2       1447    0       0
2       1384       0       0       2       414     2       1
2       2204       2       0       2       1063    2       1
2       481        2       1       2       105     2       1
2       641        2       1       2       390     2       1
2       288        2       1       2       421     1       1
2       79         2       0       2       748     1       1
2       486        1       0       2       48      2       0
2       272        1       0       2       1074    2       1
2       381        1       0       2       10      2       1
2       53         2       0       2       80      2       0
2       35         2       0       2       248     1       1
2       704        2       0       2       211     1       1
2       219        1       1       2       606     1       1
3       2640       0       1       3       2430    0       1
3       2252       0       1       3       2140    0       1
3       2133       0       0       3       1238    0       1
3       1631       0       1       3       2024    0       0
3       1345       0       1       3       1136    0       1
3       845        0       0       3       422     1       0
3       162        2       1       3       84      1       0
3       100        1       1       3       2       2       1
3       47         1       1       3       242     1       1
3       456        1       1       3       268     1       0
3       318        2       0       3       32      1       1
3       467        1       0       3       47      1       1
3       390        1       1       3       183     2       0
3       105        2       1       3       115     1       0
3       164        2       0       3       93      1       0
3       120        1       0       3       80      2       1
3       677        2       1       3       64      1       0
3       168        2       0       3       74      2       0
3       16         2       0       3       157     1       0
3       625        1       0       3       48      1       0
3       273        1       1       3       63      2       1
3       76         1       1       3       113     1       0
3       363        2       1
;
run;


ods select none;
ods output SurvivalPlot=SurvivalPlot;
proc lifetest data=bmt plots=survival(atrisk=0 to 2500 by 500);
time ftime*Status(0);
strata diagnosis;
run;
ods select all;

data dattrmap;
input id $ value &$40.  textcolor $;
cards;
myid   1: ALL    blue   
myid   2: AML high risk    red 
myid   3: AML low risk    red 
;

title '缓解概率';
proc sgplot data=SurvivalPlot dattrmap=dattrmap;
step x=Time y=Survival / group=Stratum lineattrs=(pattern=solid) name='a' ;
scatter x=Time y=Censored /group=Stratum markerattrs=(symbol=plus ) ;
xaxistable atrisk / x=tatrisk class=stratum colorgroup=stratum  labelattrs=(color=blue)  attrid=myid; 
xaxis label='天数';
yaxis label='存活概率';
keylegend 'a'  / across=1 location=inside position=ne title='' ;
inset '+ Censored'  /  position=sw border;
run;