sas useful codes and tricks and shortcuts

1. data nasrlab.sales;
input id 1-4 name $ 5-8 date mmddyy10. sale 19-23 expense 24-28;
datalines;
001 abc 02012016 5000 2000
002 ahd 02042016 4000 1000
003 abc 03022016 6000 2500
004 ahd 02122016 4200 1100
;
run;
proc print data=nasrlab.sales;
format date mmddyy10. sale dollar. expense dollar.;
run;
data labedsales;
set nasrlab.sales;
label name="saleman"
sale="reveue"
;
run;
proc means data=nasrlab.sales;
var sale expense;
output out=maximas
max =maxsales maxexp
maxid (sale (name) expense(name))=effecient inefficient;
run;
_________________________
proc univariate data=sashelp.heart;
var Weight;
run;
proc univariate data=sashelp.heart;
var Weight;
qqplot/ normal(mu=est sigma=est color=green);
run;
proc univariate data=nasrlab.sales trimmed=0.1 0.01
winsorized=0.1
robustscale;
var sale;
run;
proc univariate data=height;
var hight weight;
pctlpre= w h
pctlpts= 12 15 89 45;
run;
___________________________
proc freq data=sashelp.heart;
table ageatdeath status;
run;
proc freq data=sashelp.heart;
table ageatdeath*status/missing;
run;
proc freq data=sashelp.heart;
table Smoking_Status*DeathCause/chisq;
run;
proc freq data=sashelp.heart;
by sex;
table Smoking_Status*DeathCause;
run;
proc freq data=nasrlab.grade;
table gender*section;
table gender*section/plot=freqplot(type=dot);

2. weight score;
run;
__________________________________________
proc corr data=nasrlab.sales proc corr data=nasrlab.sales;
run;
proc corr data=nasrlab.sales kendall pearson spearman fisher;
run;
proc corr data=nasrlab.sales alpha;
run;
proc corr data=nasrlab.sales csscp cov;
run;
proc corr data=nasrlab.sales plots=matrix(histogram);
run;
____________________________________________
PROC PRINT DATA=nasrlab.toy; RUN;
proc sort data=nasrlab.toy;
by country;
run;
proc transpose data=nasrlab.toy out=toytrans;
by country;
run;
data paneltoy (rename=(col1=ptl col2=pgrt col3=srfa));
set toytrans;
run;
proc panel data=toytrans;
id country _name_;
lag col1(1)/out=lagpanel;
run;
data lgdif;
set toytrans;
by country;
lgc1=lag(col1);
lgc2=lag (col2);
lgc3= lag(col3);
dfc1=dif (col1);
dfc2=dif (col2);
dfc3=dif(col3);
run;
____________________________________________
data baseball2;
set sashelp.baseball;
format Division DOLLAR8.;
label salary ='salary in 1000';
run;
data base1 (keep=name--yrmajor);
set sashelp.baseball;
run;
data base3;
set base2;
if name='Griffin, Alfredo' then natbat=.;
run;
data base2;
set base3;
obs+1;
run;
proc means data=base2;
run;
proc print data=base2;
where natbat=.;
run;
proc means data=base2 mean;
var natbat;
where nruns=74;
run;

3. proc means data=base2 mean;
where yrmajor=11 ;
where nbb=34;
var natbat;
run;
data base3;
set base2;
if name='Griffin, Alfredo' then natbat=510;
run;
proc means data=base3;
var nruns;
output out=maxee
max=runnnsss
min=rn
maxid(nruns(name))=maxrun
minid (nruns(name))=minrun;
run;
______________________________________
data dummy;
set sashelp.iris;
if species='Setosa' then dsetosa=1;
else dsetosa=0;
if species='Versicolor' then dver=1;
else dver=0;
run;
data asn;
set nasrlab.tours;
totcost=aircost+20;
run;
data asn;
set nasrlab.tours;
totcost=sum(aircost,20);
run;
data asn;
set nasrlab.tours;
if vendors='hispania' then nobonus = 'yes';
else if vendors='major' then bonus= 'yes';
else bonus='dontknw';
run;
data asn;
set nasrlab.tours;
if vendors='hispania' then bonus = 'null';
else if vendors='major' then bonus= 'allpeoples';
else bonus='for5plus';
run;
data asn;
set nasrlab.tours;
if vendors='hispania' then delete;
run;
data asn;
set nasrlab.tours;
mult=aircost*landcost;
add=aircost+landcost;
sub=aircost-landcost;
run;
data asn;
set nasrlab.tours;
nigtsr=round(nights,5);
landcr=round(landcost,50);
run;
data asn;
set nasrlab.tours;
totcostrnd=round(sum(aircost,landcost),5);

4. run;
data asn;
set nasrlab.tours;
totcostrnd=round(sum(aircost,landcost),5);
run;
data asn;
set nasrlab.airtour;
if tourguide=backupguide then remark='problem';
else if tourguide='' or backupguide ='' then remark='check';
else remark='ok';
run;
data asn;
set nasrlab.airtour;
part1=scan(eventdescription,2,',');
run;
data asn;
set nasrlab.airtour;
part1=scan(eventdescription,2,',');
part1left=left(scan(eventdescription,2,','));
partc1right=right(scan(eventdescription,2,','));
run;
data asn;
set nasrlab.airtour;
allguide=tourguide||backupguide;
run;
data asn;
set nasrlab.airtour;
allguide=trim(tourguide||backupguide);
run;
data asn;
set nasrlab.airtour;
allguide=tourguide||'/'||backupguide;
run;
data nn;
set abd;
if status='Dead' then remarks=deathcause||'
';
else remarks =('bp='|| Bp_Status||'wgtstus=' ||
Weight_Status||'smkgstatus='||Smoking_Status||'chlstatus='||
cholesterol_Status);
run;
data asn;
set nasrlab.airtour;
if landcost=. then tour ='pata nae';
else if landcost<500 then tour='sasta';
else if landcost<1000 then tour ='guzara';
else tour='mehnga';
run;
data sng;
set nasrlab.airtour;
if 500<=landcost<=1000 then type='medium';
else if 1000<landcost then type='high';
else type='low';
run;
data sng;
set nasrlab.airtour;
if (nights>3 or numberofevents>5) and (tourguide='Lucas' or city='Paris')
then type='mixture';
else type='olamba';
run;
data sng;
set nasrlab.airtour;
if landcost then rmarks='nonmissing';
run;

5. data sng;
set nasrlab.airtour;
if tourguide='lucas' then group='a';
else group='b';
run;
data sng;
set nasrlab.airtour;
if upcase(tourguide)='LUCAS' then group='a';
else group='b';
run;
data sng;
set nasrlab.airtour;
if tourguide= : 'L' then choosen='yes';
else choosen='no';
run;
data sng;
set nasrlab.airtour;
if index(eventdescription, 'other') then doubt='yes';
else doubt='no';
run;
data abc;
set nasrlab.airtour;
if index(eventdescription, 'other')then rewiev='yes';
else rewiev='no';
event=index(eventdescription, 'M');
eventm=substr(eventdescription,1,3);
run;
data sng;
set nasrlab.airtour;
if nights>=6;
run;
data sng abc;
set nasrlab.airtour;
if nights>=6 then output sng;
else output abc;
run;
data sng abc;
set nasrlab.airtour;
if tourguide='Lucas' then output sng;
else output abc;
ngghts=nights+1;
run;
proc print data=sng;
run;
data sng abc;
set nasrlab.airtour;
ngghts=nights+1;
if tourguide='Lucas' then output sng;
else output abc;
run;
data ab bc de fg;
set nasrlab.airtour;
if tourguide='Lucas' then output ab;
else output bc;
if nights > 6 then output de;
else output=fg;
run;
proc sort data=nasrlab.airtour out=abcd;
by city;
run;
data cars;
set sashelp.cars;
run;
proc sort data=cars;

6. by type;
run;
proc means data=cars;
by origin type;
run;
data crr;
set cars;
by type;
abc=first.Type;
def=last.Type;
run;
proc sort data=nasrlab.airtour out=nodps noduprecs;
by city;
data abc;
set nasrlab.data6 nasrlab.data7;
run;
data abc2;
set nasrlab.data6 nasrlab.data7;
by year;
run;
data abc3;
merge nasrlab.data6 nasrlab.data7;
run;
data abc4;
set nasrlab.data6;
if year=1997 then delete;
run;
data abc3;
merge abc4 nasrlab.data7;
run;
data abc3;
merge abc4 nasrlab.data7;
by year;
run;
data abc5;
merge nasrlab.class(drop= year major)
nasrlab.class2(drop=year major rename=(name=name2));
run;
data abc6;
merge nasrlab.class
nasrlab.class2(rename=(name=name2 year=year2 major=major2));
run;
data abc7;
merge nasrlab.company nasrlab.finance;
by name;
run;
proc sort data=nasrlab.shoes;
by type;
run;
proc sort data=nasrlab.discount;
by type;
run;
data nasrlab.shoes2;
set nasrlab.shoes2;
if type='C-Trian' then type='C-Train';
run;
data abc8;
merge nasrlab.shoes2 nasrlab.discount;
by type;
run;
data abc8;
merge nasrlab.shoes2 nasrlab.discount;
by type;

7. discountamont=regularprice*adjustment;
newprce=regularprice-discountamont;
run;
proc means data=abc8;
var newprce;
by type;
output out=summary sum(newprce)=total;
run;
data abc;
MERGE abc8 summary (drop= _TYPE_ _FREQ_);
by type;
run;
data abc8;
merge nasrlab.shoes2 nasrlab.discount;
by type;
discountamont=regularprice*adjustment;
newprce=regularprice-discountamont;
run;
proc means data=abc8;
var newprce;
by type;
output out=summary sum(newprce)=total;
run;
data abc;
MERGE abc8 summary (drop= _TYPE_ _FREQ_);
by type;
run;
data pca3(keep= item13--item26);
set nasrlab.pca3;
run;
proc factor data=pca3
simple
method=prin
priors=one
scree
rotate=varimax
round
flag=0.4;
var item13--item26;
run;
proc factor data=pca3 out=pcaresults (rename=(factor1=intrustchr
factor2=intrvw))
simple
method=prin
priors=one
nfactors=2
scree
rotate=varimax
round
flag=0.4;
var item13--item26;
data base12 (keep=name--yrmajor);
set sashelp.baseball;
run;
proc corr data=base12 PLOTS=matrix(histogram)plots(MAXPOINTS=none);
var natbat nhits nhome nrbi nbb;
run;
proc reg data=base12;
model nhits= nhome nrbi nbb yrmajor;
run;
proc reg data=base12;
model nhits= nhome nrbi nbb yrmajor;
output out=influe (keep=nhits nhome nrbi nbb yrmajor rsd lev ck dff)

8. rstudent=rsd h=lev cookd=ck dffits=dff;
run;
PROC PRINT DATA=INFLUE;
WHERE abs(rsd)>2;
RUN;
proc print data=influe;
where lev>(2*4+2)/322;
run;
proc print data=influe;
where abs(rsd)>2 AND lev>(2*4+2)/322;
run;
PROC PRINT DATA=INFLUE;
WHERE ck>4/322;
run;
proc print data=influe;
where dffit>2*srt(k)/n
data influe2;
set influe;
sn+1;
run;
proc reg data=influe2;
model nhits= nhome nrbi nbb yrmajor;
where sn NE 141;
run;
data basement;
set sashelp.baseball;
sn+1;
run;
proc reg data=basement;
model nhits= nhome nrbi nbb yrmajor/influence;
id sn;
run;
data base16;
set sashelp.baseball;
run;
data base17;
set base16;
if league='American' then dusa=1;
else dusa=0;
if league='National' then dnat=1;
else dnat=0;
run;
proc reg data=base17;
model nhits=dusa nhome nrbi nbb yrmajor;
run;
proc reg data=base17;
model nhits=dnat dusa nhome nrbi nbb yrmajor/noint;
run;
data base18;
set base17;
interusanbri=dusa*nRBI;
run;
proc reg data=base18;
model nhits=interusa nhome nrbi nbb yrmajor;
run;
proc reg data=abc;
model loginvice=MPG_CITY Weight dasia deurope;
output out=pred (keep=predctdinv)
predicted=predctdinv;
run;
proc reg data=abc;
model loginvice=MPG_CITY Weight dasia deurope/influence;
ods output outputstatistics=lps;
run;