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proc tabulate data=clinic.admit;
var fee;
class sex;
table sex all, fee;
run;
-----------------------------------
| | Fee |
| |------------|
| | Sum |
|--------------------+------------|
|Sex | |
|--------------------| |
|F | 1418.35|
|--------------------+------------|
|M | 1268.60|
|--------------
|
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PDF 화일입니다.... 4.1 이론적 근거
4.1.1 자료의 종류
4.1.2 기술통계량
4.2 SAS에서의 기술통계량
4.2.1 PROC MEANS
4.2.2 PROC SUMMARY
4.2.3 PROC TABULATE
4.2.4 PROC UNIVARIATE
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proc tabulate fc(1 6 7 8)=\' - \';
class a s;var y;
table y*(mean*f=5.2 std*f=5.2),(a all)/rts=12;
proc anova;class a s;model y=a s a*s;
test h=a e=a*s;
means a/scheffe e=a*s;
run;
1-(나) 일원 피험자내 설계 프로그램
data ex;
input a s y@@;
cards;
1 1 20 2 1 24 3 1 28 4 1 28
1 2 15 2 2 18 3 2 23 4 2
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proc tabulate data = item1;
class city activity year;
var score;
format city frm_city.;
format activity frm_act.;
table activity, city, year*score*mean*f=7.2;
run;
proc tabulate data = item1;
class city activity year score;
format city frm_city.;
format activity frm_act.;
table activity, city*(year
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proc tabulate fc(1 6 7 8)=\' - \';
class a b;var y;
table b all,(a all)*y*(mean*f=5.2 std*f=5.2)/rts=12;
proc anova;class a b;model y=a b a*b;
proc sort;by b;
proc anova;class a;model y=a;by b;
means a/scheffe;
proc sort;by a;
proc anova;class b;model y=b;by a;
run;
1-(나)
data edu;
input a b y@@;
c
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