我正在使用5种组装零件技术的数据集,并从每种技术中随机抽取了工人样本,以评估工人完成任务需要多长时间。我想将均值与进行比较t-test
,但由于我对SAS非常陌生,因此正努力获取正确的代码。
可以使用以下代码找到数据集:
data Ex1;
input technique time @@;
lines;
1 45.6
1 41
1 46.4
1 50.7
1 47.9
1 44.6
2 41
2 49.1
2 49.2
2 54.8
2 45
3 51.7
3 60.1
3 52.6
3 58.6
3 59.8
3 52.6
3 53.8
4 67.5
4 57.7
4 58.2
4 60.6
4 57.3
4 58.3
4 54.8
5 57.1
5 69.6
5 62.7
;
run;
我希望用来PROC GLM
检验(µ1 + µ2 + µ3)/ 3 =(µ3 + µ4)/ 2的原假设,与这些均值不相等的替代方法相比。我有以下用于此操作的代码,但是运行它时出现错误:
proc glm data=Ex1;
class technique;
model time=technique/NOINT SOLUTION E;
CONTRAST 'M1+M2+M3=M3+M4' technique 1 1 1 0 0/DIVISOR=3, technique 0 0 1 1 0/DIVISOR=3;
run;
产生以下输出错误:
1 OPTIONS NONOTES NOSTIMER NOSOURCE NOSYNTAXCHECK;
72
73 proc glm data=Ex1;
74 class technique;
75 model time=technique/NOINT SOLUTION E;
76
77 CONTRAST 'M1+M2+M3=M3+M4' technique 1 1 1 0 0/DIVISOR=3, technique 0 0 1 1 0/DIVISOR=3;
_______
22
76
NOTE: The previous statement has been deleted.
ERROR 22-322: Syntax error, expecting one of the following: ;, E, EST, ETYPE, SINGULAR.
ERROR 76-322: Syntax error, statement will be ignored.
78 run;
NOTE: Due to the presence of CLASS variables, an intercept is implicitly fitted. R-Square has been corrected for the mean.
79
80 OPTIONS NONOTES NOSTIMER NOSOURCE NOSYNTAXCHECK;
92
这是ESTIMATE
一个CONTRAST
问题吗?
本文收集自互联网,转载请注明来源。
如有侵权,请联系 [email protected] 删除。
我来说两句