- y=c(100,200,300,400,500)
- treatment=c(1,2,3,3,4)
- block=c(1,1,2,3,3)
- summary(lm(y~as.factor(treatment)+as.factor(block)))
要求设计一个 可以
比较 treatment 1 and treatment 2
和
treatment 3 and treatment 4
的model
我试了所有的 Baseline
好像都不行
- relevel(as.factor(block),ref="1");relevel(as.factor(treatment),ref="1")
- relevel(as.factor(block),ref="1");relevel(as.factor(treatment),ref="2")
- relevel(as.factor(block),ref="1");relevel(as.factor(treatment),ref="3")
- relevel(as.factor(block),ref="1");relevel(as.factor(treatment),ref="4")
- relevel(as.factor(block),ref="2");relevel(as.factor(treatment),ref="1")
- relevel(as.factor(block),ref="2");relevel(as.factor(treatment),ref="2")
- relevel(as.factor(block),ref="2");relevel(as.factor(treatment),ref="3")
- relevel(as.factor(block),ref="2");relevel(as.factor(treatment),ref="4")
- relevel(as.factor(block),ref="3");relevel(as.factor(treatment),ref="1")
- relevel(as.factor(block),ref="3");relevel(as.factor(treatment),ref="2")
- relevel(as.factor(block),ref="3");relevel(as.factor(treatment),ref="3")
- relevel(as.factor(block),ref="3");relevel(as.factor(treatment),ref="4")
谁有好办法?
谢谢!!!