/����/
/ginistat/
Libname loan “d:\2019xyt”;
%macro ginistat(dsin,probvar,dvvar,dslorenz,m_gini);
proc sort data=&dsin;
by &probvar;
run;
proc sql noprint;
select sum(&dvvar) into:nresp from &dsin;
select count(*) into:nn from &dsin;
quit;
/*/
data &dslorenz;
set &dsin nobs=nn;
by &probvar;
retain tile 1 totresp 0;
tilesize=ceil(nn/100);
totresp=totresp+&dvvar;
totrespPer=totresp/&nresp;
if _n=tiletile_size then do;
output;
if tile<100 then do
tile=tile+1;
sumresp=0;
end;
end;
keep tile totrespPer;
run;
data temp;
tile=0;
totrespPer=0;
run;
data &dslorenz;
set temp &dslorenz;
run;
data &dslorenz;
set &dslorenz;
tile=tile/100;
label totrespPer=”percent of positive”;
label tile=”percent of population”;
run;
/*/
data null;
retain xk 0 xk1 0 yk 0 yk1 0 g 1;
set &dslorenz;
xk=tile;
yk=totrespPer;
g=g-(xk-xk1)(yk+yk1);
xk1=xk;
tk1=yk;
call symput(‘g’,compress(g));
run;
%let &m_gini=&g;
proc datasets library=work nodetails nolist;
delete temp;
run;quit;
%mend;
/��ͼ/
/**/
%macro plotlorenz(dslorenz);
goptions reset=global gunit=pct border cback=white
colors=(black blue green red)
ftitle=swissb ftext=swiss htitle=6 htext=4;
symbol1 color=red interpol=join value=dot height=1;
proc gplot data=&dslorenz;
plot totrespPer*tile /haxis=0 to 1 by 0.2 vaxis=0 to 1 by 0.2 hminor=3 vminor=1
vref=0.2 0.4 0.6 0.8 1.0
lvref=2 cvref=blue caxis=blue ctext=red;
run;quit;
goptions reset=all;
%mend;
proc contents data=loan.btest_2_fa(drop=v_5) out=a noprint;run;
proc sql noprint;
select name into:var separated by ‘ ‘ from a;quit;
%let varlist=&var.;
proc logistic data=loan.btest_2_fa outest=model_parms;
model v_5(event=’1’)=&var./selection=stepwise sls=0.05 sle=0.05;
output out=pred_probs p=pred_v_5;
run;
/use the macro/
%let dsin=pred_probs;
%let probvar=pred_v_5;
%let dvvar=v_5;
%let dslorenz=lorenzds;
%let gini=;
%ginistat(&dsin,&probvar,&dvvar,&dslorenz,gini);
%put >>>>>>>>>>>>>>>>>>>>>>>>> gini=&gini <<<<<<<<<<<<<<<<<<<<<<<<< ;
%plotlorenz(&dslorenz);