/ksͳ�����ļ������ͼ/
libname loan “d:\2019xyt”;
/ks����/
%macro ksstat(dsin,probvar,dvvar,dsks,m_ks);
proc sort data=&dsin;
by &probvar;
run;
proc sql noprint;
select sum(&dvvar) into:p from &dsin;
select count(*) into:ntot from &dsin;
quit;
%let n=%eval(&ntot-&p);/total negative(good)/
/**/
data &dsks;
set &dsin nobs=nn;
by &probvar;
retain tile 1 totp 0 totn 0;
tile_size=ceil(nn/100);
if &dvvar=1 then totp=totp+&dvvar;
else totn=totn+1;
pper=totp/&p;
nper=totn/&n;
if n=tile*tile_size then do;
output;
if tile<100 then do;
tile=tile+1;
sumresp=0;
end;
end;
keep tile pper nper;
run;
data temp;
tile=0;
pper=0;
nper=0;
run;
data &dsks;
set temp &dsks;
run;
data &dsks;
set &dsks;
tile=tile/100;
label pper=”percent of positives”;
label nper=”percent of negaives”;
label tile=”percent of population”;
ks=nper-pper;
run;
proc sql noprint;
select max(ks) into :&m_ks from &dsks;
run;quit;
proc datasets library=work nodetails nolist;
delete temp;
run;
quit;
%mend;
/��ͼ/
%macro plotks(dsks);
symbol1 color=red interpol=join value=dot height=1;
legend1 position=top;
symbol2 color=blue interpol=join value=dot height=1;
symbol3 color=green interpol=join value=dot height=1;
proc gplot data=&dsks;
plot(nper pper ks)*tile /overlay legend=legend1;
run;
quit;
goptions reset=all;
%mend;
proc contents data=loan.practice_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.practice_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 dsks=dsks;
%let ks=;
%ksstat(&dsin,&probvar,&dvvar,&dsks,ks);
%put >>>>>>>>>>>>>>>>>>>>>>>>>>> ks-stat=&ks <<<<<<<<<<<<<<<<<<<<<<<<<;
%plotks(&dsks);