代码搜索：proc
找到约 10,000 项符合「proc」的源代码
代码结果 10,000
www.eeworm.com/read/150065/12318841
sas regnlin6_18.sas
proc nlin data=data_prg.reg6_17d method=dud;
parms b1=0.5 to 1 by 0.01 b2=1.7 to 2.1 by 0.01
b3=0.1 to 0.5 by 0.01 b4=-0.01 to 0 by 0.001;
model y=b1*x1+b2*x3+b3*x4+b4*x33;
der.b1=x1;
www.eeworm.com/read/150065/12318851
sas glm6_16.sas
data glm6_16;
do treat=1 to 3;
input y x @@;
output;
end;
cards;
57 1.39 42 1.36 60 1.38 37 1.39 54 1.35
13 1.54 29 1.58 20 1.55 15 1.59 13 1.56
18 1.45 22 1.46 13 1.48
www.eeworm.com/read/150065/12318865
sas freq3_2.sas
data freq3_2;
input x y number @@;
cards;
1 1 12 1 2 15
2 1 9 2 2 12
;
proc freq data=freq3_2;
weight number;
tables x*y;
run;
www.eeworm.com/read/150065/12318872
sas mean3_1.sas
/* the file name meanbig.sas */
data mean3_1 ;
input siliao $ weekage addweigh @@ ;
cards ;
a 1 6.65 a 2 6.35 a 3 7.05 a 4 7.90 a 5 8.04 a 6 4.45
b 1 5.34 b 2
www.eeworm.com/read/150065/12318934
sas reg_nlin6_11.sas
proc nlin data=data_prg.nlin6_11 method=newton;
parms a=1.7 to 2 by 0.05
b=1.5 to 2.0 by 0.01
c=0.5 to 0.8 by 0.01
d=0.1 to 0.2 by 0.005;
temp=(x/b)**c;
temp1=temp+1;
temp2=e
www.eeworm.com/read/150065/12318967
sas clust7_2.sas
data clus7_2;
infile 'd:clus7_2.dat';
input x1-x16;
proc cluster standard method=average nonorm nosquare ccc pseudo out=tree;
proc tree data=tree horizontal spaces=1;
run;
www.eeworm.com/read/150065/12319018
sas reg6_10.sas
data reg6_10;
input x y @@;
x1=log(x);
y1=log(y);
x2=x1*x1;
x3=x2*x1;
cards;
25 20 50 30.5 100 47 200 52.0 400 67 800 87
;
proc reg;
model y=x1 x2 x3/selection=stepwise P cli
www.eeworm.com/read/150065/12319057
sas univer3_3.sas
proc univariate data=data_prg.gpa pots;
var gpa;
run;
www.eeworm.com/read/150065/12319091
sas glm5_18.sas
data glm5_19;
do a=1 to 3;
do b=1 to 8;
input x y @@;
output ;
end;
end;
cards;
18 85 16 89 11 65 14 80 14 78 13 83 17 91 17 95
17 95 18 100 18 94 19 98 21 1
www.eeworm.com/read/150065/12319113
sas reg6_8.sas
data reg6_8;
input x y @@;
y1=log(y);
x1=log(x);
cards;
25 20 50 30.5 100 47 200 52.0 400 67 800 87
;
proc plot;
plot y*x y1*x y*x1 y1*x1;
run;
proc reg;
model y=x;
model y=x1;
model