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5 SAS [email protected]
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SASSASSASSAS Call
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SAS
SAS(X1, X2, )
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5.1 data a(keep=date y d clpr); /*date, y, d, clpr*/set
fdata.a1a0001;y=year(date); /*yeardate*/d=weekday(date);
/*weekdaydate*/Min=MIN(SUM(cashcredit)1000); run;5.2 data a;set
fdata.a1a0001;where year(date)>1996; /* WhereYear *run;
- 5.3 SAStotx=xl+x2+x3+x4+x5+x6+x7+x8+x9+x10; if totx
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5.4
Sheet1
Max(X,Y);
X=Repeat(---, 20);
Sheet2
Sheet3
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2000 (OF1n); (OF1n )
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5.5
5.6 Array Y{10} Y1-Y10; /*Y{10} */X=Sum (Of Y{*});Z=Sum (of
Y1-Y10);SUM
Sheet1
sum (x, y, z)sum (x y z)
sum (of x1-x10)sum (x1-x10)
sum (of x1-x10 d y1-y100)sum (x1-x10 d y1-y100)
Sheet2
Sheet3
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PUT82005.1
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5.1
Sheet1
INPUT
PUT
SUBSTR
TRIM
Sheet2
Sheet3
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PUTLOG5.7 data;Y=probnorm(1.96); /* 1.96 */put Y;q1=tinv(.95,
2); /*2t0.95*/q2=tinv(.95, 2, 3); /*23t0.95*/put q1=; q2=;run;
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SAS
Sheet1
Application Response Measurement (ARM)Probability and Density
Functions
Arithmetic FunctionsQuantile Functions
Bitwise Logical FunctionsRandom Number Functions
Character FunctionsSample Statistic Functions
Character String Matching FunctionsSAS File I/O Functions
Currency ConversionSpecial Functions
Date and Time FunctionsState and Zip Code Functions
DBCS FunctionsTrigonometric Functions
Dynamic Link LibraryTruncation Functions
External File FunctionsVariable Information Functions
Financial FunctionsNoncentrality Functions
Library and Catalog FunctionsWeb Tools
Mathematical Functions
Sheet2
Sheet3
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SAS196011000
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Sheet1
DATDIF(sdate,edate,basis)MDY(month,day,year)
DATDIF(01jan2002d, 01jan2003d, act/act);MDY(10, 10, 2002)
DATDIF(01jan2002d, 01jan2003d, 30/360);MINUTE(time |
datetime)
DATE()MONTH(date)
DATEJUL(julian-date)QTR(date)
DATEPART(datetime)SECOND(time | datetime)
DATETIME()TIME()
DAY(date)TIMEPART(datetime)
DHMS(date,hour,minute,second)TODAY()
HMS(hour,minute,second)WEEKDAY(date)
HOUR()YEAR(date)
INTCK('interval',from,to)YRDIF(sdate,edate,basis)
INTCK(30,01jan2002d, 01jan2003d);yrdif('16oct1998'd,
'16feb2003'd, '30/360');
INTNX('interval', start-from,yrdif('16oct1998'd, '16feb2003'd,
'act/act');
increment)YYQ(year,quarter)
JULDATE(date)
Sheet2
Sheet3
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5.8 data
_null_;sdate='01jan2002'd;edate='01jan2003'd;actual=datdif(sdate,
edate, 'act/act'); /* */days360=datdif(sdate, edate, '30/360');
/*30 */put actual= days360=;run;data
_null_;actual=datdif(01jan2002d, 01jan2003d,
act/act);days360=datdif(01jan2002d, 01jan2003d, 30/360);put actual=
days360=;run;actual=365, days360=360.
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5.9 data
_null_;sdate='16oct1998'd;edate='16feb2003'd;y30360=yrdif(sdate,
edate, '30/360'); /* 30/360 */yactact=yrdif(sdate, edate,
'ACT/ACT'); yact360=yrdif(sdate, edate, 'ACT/360');
yact365=yrdif(sdate, edate, 'ACT/365');put y30360= yactact=
yact360=
yact365=;run;y30360=4.333yactact=4.3369yact360=4.4yact365=4.3397.
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5.10 data;x=date (); y=today();put x=
y=;run;DATE()TODAY()data;x=date (); y=today();format x y
yymmdd10.;put x= y=;run;
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5.11 data; n=datetime(); put n=; x=datetime (); put x=; format x
datetime20.4; y=datetime (); put y=; format y nldatm20.; m=time();
put m=; z=time(); put z=; format z hhmm8.2; run;
n=1347837287.5x=16sep02:23:14:47.500y=16sep2002:23:14:48m=83687.5z=23:14.79
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5.12 data a;set fdata.a600001 (obs=10);keep date year qtr month
day;year=year (date);qtr=qtr (date);month=month (date);day=day
(date);proc print noobs;run;5.13 data;h=hour (datetime ()); put
h=;m=minute (datetime ()); put m=;run;
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5.14 data;mdy=mdy (08,18,2001); put mdy=;format mdy
yymmdd10.;hms=hms (21,50,51); put hms=;x=21*60*60+50*60+51; put
x=;dhms=dhms (date (), 21,50,51); put dhms=;dhms=dhms
(15263,21,50,51); put dhms=;y=15263*24*3600+x; put
y=;run;mdy=2001-08-18hms=78651x=78651dhms=1347832251dhms=1318801851y=1318801851
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PROBNORM(X)X 5.15
data;P1=probnorm(0);P2=probnorm(1.96);P3=probnorm(2.5758293);put
P1= P2= P3=;run;P1=0.5P2=0.9750021049P3=0.9949999999
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PROBCHI(X, DF, NC)DFNCXNC0DF5.16881131data;P=1-Probchi(31,
88,11);put P=;run;
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PROBGAM(X, A)AGAMMAX5.175.2GAMMA7.5data;P=Probgam(7.5, 5.2);put
P=;run;
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PROBBETA(X, A,B)0X1, A>0,
B>0.ABX5.1842.50.75data;P=Probbeta(0.75, 4, 2.5);put P=;run;
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F PROBF(X, ndf, ddf,
nc)(ndf,ddf)FXncnc=0F5.1932230F3data;P=1-Probf(3.32,2,30);put
P=;run;
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t PROBT(X, df, nc)dfnctXnc=0tdf
t(1-Probt(ABS(X), df))*2
5.20 6t2.8data;P=(1-Probt(ABS(-2.8), 6))*2;put P=;run;
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PROBBNML(p, n, M)0p1n10mnpnXM
X=kProbbnml(p, n, k)-Probbnml(p, n,
k-1)5.210.6208data;P=probbnml(0.6, 20, 8)-probbnml(0.6, 20, 7);put
P=;run;
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POISSONlambdanlambda0n0Poissonn
5.22 0.886data;P=Poisson(0.88, 6);put P=;run;
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PROBNEGB(pnm)0pln0m0Pnm
5.230.5102data;P=Probnegb(0.5, 10, 2);put P=;run;
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PROBHYPRnnknXornn1, 0knn, 0nnn, max(0,k+n-nn) xmin(k,
n).nnknnnnnXK=0nnx=01or, or15.24 or=1.51.5data;P1=Probhypr(10, 5,
3, 2);P2=Probhypr(10, 5, 3, 2, 1.5);put P1= P2=;run;
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XFXP0P1XpFXp=PXp XPFXP
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CINV(p, df, nc)0p1, df0, nc0.dfncP
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BETAINV (p, a, b)0p1a0b0.abPFtF
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F FINV(p, ndf, ddf, nc)0p1ndf0ddf0nc0(ndf, ddf)nncFPNc5.25
F210F0.95qdata;q=10*betainv(0.95, 1, 5)/(2*(1-betainv(0.95, 1,
5)))=4.1028;put q=;run;
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t TINV(p, df, nc)0p1df0.dfnctPnc
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PROIBT(p)0p1.PROBNORM5.26
ProbitProbnormdata;P=probnorm(probit(0.025)); put
P=;run;P=0.025.
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GAMINV(p, a)0p1a0
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X15
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MEAN(of xl-xn) MEAN(xyz, )
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MAX(of xl-xn) MAX(xy)
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MIN(of xl-xn) MIN(xy)
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N(of xl-xn) N(xy)
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NMISS(of xl-xn) NMISS (x1,x2, )
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SUM(of xl-xn) SUM (x1,x2, )
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VAR(of xl-xn) VAR (x1,x2, )
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STD(of xl-xn) STD (x1,x2, )
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STDERR(of xl-xn) STDERR (x1, x2, )
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CV(of xl-xn) CV (x1,x2, )CV
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RANGE(of xl-xn) RANGE (x1, x2, )
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CSS(of xl-xn) CSS(x1, x2, )
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USS(of xl-xn) USS (x1, x2, )
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SKEWNESS(of xl-xn) SKEWNESS (x1, x2, )
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KURTOSIS(of xl-xn) KURTOSIS (x1, x2, )4
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SAS11
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5.27 RANNORdata RV;retain _seed_ 0; /*retain
0_seed_*/mu=0;sigma=1; do _i_ = 1 to 1000;Normal1 = mu + sigma *
rannor(_seed_); /*mu,sigma*/output;end;drop _seed_ _i_ mu
sigma;run;
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5.28 NORMALdata RV;retain _seed_ 0;mu=0;sigma=1;do _i_ = 1 to
1000;normal1 = 0 + 1 * normal(_seed_);/*mu,sigma*/output;end;drop
_seed_ _i_;run;
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5.29 RANUNIdata RV1; retain _seed_ 0; a=-1; b=2; do _i_ = 1 to
1000;uniform1 = a + (b-a) * ranuni(_seed_); /*[a,
b]*/output;end;drop _seed_ _i_;run;
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5.30 UNIFORMdata RV1; retain _seed_ 0; a=-1; b=2; do _i_ = 1 to
1000;uniform1 = a + (b - a) * uniform(_seed_); /*[a, b]*/output;
end; drop _seed_ _i_;run;
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5.31 B(20, 0.6)data RV2;retain _seed_ 0;n=20;p=0.6;do _i_ = 1 to
1000;binom1 = ranbin(_seed_, n, p); /*B(20, 0.6)*/output;end;drop
_seed_ _i_;run;
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5.32 17data RV4;beta=2;alpha=17/2;retain _seed_ 0;do _i_ = 1 to
1000;chisq1 = beta*rangam(_seed_,alpha); /*17 */output;end;drop
_seed_ _i_ beta alpha;run;
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ALPHABETAGAMMAXX=beta*rangam(seed,alpha);2*ALPHAX2*ALPHAX=2*rangam(seed,alpha);NXErlangX=beta*rangam(seed,N);Nbeta.ALPHA
BETAbetaXY1=rangam(seed,alpha);Y2=rangam(seed,beta);X=Y1/(Y1+Y2);
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5.33 POISSON(2.1)data RV7;retain _seed_ 0;LAMBDA =2.1;do _i_ = 1
to 1000;poisson1 = ranpoi(_seed_, LAMBDA); /*LAMBDA
*/output;end;drop _seed_ _i_ LAMBDA;run;
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5.34 POISSON(2.1)data RV8;retain _seed_ 0;alpha=0.6;beta=1.2;do
_i_ = 1 to 1000;_wm_ = rangam(_seed_, alpha);_dv_ = rangam(_seed_,
beta);beta1 = _wm_ / (_wm_ +_dv_);output;end;drop _wm_ _dv_ _seed_
_i_ alpha beta;run;
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5.35 1.11data RV9;retain _seed_ 0;LAMBDA=1.11;do _i_ = 1 to
1000;exp1 = ranexp(_seed_)/ LAMBDA;output;end;drop _seed_ _i_
LAMBDA;run;
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LAMBDAXX=ranexp(seed)/lambda;ALPHABETAXX=alpha-beta*log(ranexp(seed));PXX=floor(-ranexp(seed)/log(1-p));
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5.36 1-0.7data RV13;retain _seed_ 0;P=0.7;do _i_ = 1 to
1000;Geom1 = floor(-ranexp(_seed_)/log(1-P));output;end;drop _seed_
_i_ P;run;
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5.37 1.28.1data RV12;retain _seed_ 0;ALPHA=1.2;BETA=8.1;do _i_ =
1 to 1000;Extreme1 = ALPHA - BETA
*log(ranexp(_seed_));output;end;drop _seed_ _i_ ALPHA BETA;run;
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SEED SEEDSEED 5.3 SEED SEEDCALL
Sheet1
Sheet2
Sheet3
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SAS CALL SASCALL
Sheet1
Sheet2
Sheet3
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Sheet1
Sheet2
Sheet3
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NORMALUNIFORMCALLCALL routine (seed, variate);
CALLSEEDCALL
Sheet1
Routine
Seed
Argument
Variate
Sheet2
Sheet3
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5.38
data RV;retain seed1 seed2 161321804;do I=1 to 5;x1=
ranuni(seed1);x2= ranuni(seed2);output;end;options nocenter;proc
print;run;
SEED1SEED2X1X2SEED2X2SEED2X1 Obs seed1 seed2 I x1 x2 1 161321804
161321804 1 0.43617 0.64888 2 161321804 161321804 2 0.34138 0.42729
3 161321804 161321804 3 0.43237 0.63834 4 161321804 161321804 4
0.74690 0.89710 5 161321804 161321804 5 0.13630 0.19031
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5.39 CALLdata RV;retain seed3 161321804 seed4 135279821;do I=1
to 5;call ranuni(seed3, X3);call ranuni(seed4, X4);output;end;proc
print;run;
SEED3=SEED1X3X1X2CALL Obs seed3 seed4 I X3 X41 936674311
724196333 1 0.43617 0.337232 1393460745 1733883844 2 0.64888
0.807403 733112270 1200908019 3 0.34138 0.559224 917607517
674688435 4 0.42729 0.314185 928513130 1646762308 5 0.43237
0.76683
