Dear R-users:
I am a new R-user and I have a question about lm
function. Here is my data.
a<-c(1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13,14,14)
b<-c(1,2,1,2,1,2,1,2,1,2,1,2,1,2,1,2,1,2,1,2,1,2,1,2,1,2,1,2)
c<-c(2,1,1,2,2,1,1,2,2,1,1,2,2,1,1,2,2,1,1,2,2,1,1,2,2,1,1,2)
d<-c(2,2,1,1,2,2,1,1,2,2,1,1,2,2,1,1,2,2,1,1,2,2,1,1,2,2,1,1)
e<-c(1739,1633,1481,1837,1780,2073,1374,1629,1555,1385,1756,1522,1566,1643,1939,1615,1475,1759,1388,1483,1127,1682,1542,1247,1235,1605,1598,1718
)
Data<-data.frame(subject=as.factor(a),
drug=as.factor(b), period=as.factor(c),
sequence=as.factor(d), Max=e)
lm3<- lm(Max ~subject*sequence + sequence + period +
drug, data=Data)
print(lm3)
anova(lm3)
When I use lm to fit the data, there are some problems
in "subject*sequence". I have use GLM in SPSS to
fit the same data, and it seems there is no problem.
I don't know where my problem is. How can I get the
same result with SPSS? How can I do?
Best regards,
Hsin-Ya Lee
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