如果我有2个级别的变量(条件)并想要创建模型,矩阵R会在设计矩阵中自动将 conditionB 分配为该术语。
condition <- as.factor( c("A","A","A","B","B","B"))
df <- data.frame(condition)
design <- model.matrix( ~ condition)
> df
condition
1 A
2 A
3 A
4 B
5 B
6 B
> design
(Intercept) conditionB
1 1 0
2 1 0
3 1 0
4 1 1
5 1 1
6 1 1
attr(,"assign")
[1] 0 1
attr(,"contrasts")
attr(,"contrasts")$condition
[1] "contr.treatment"
问题:我希望获得与 conditionA 相关的结果。如何在model.matrix()中指定呢?
(一种解决方法是将产生的FC求逆)
答案 0 :(得分:0)
您可以使用C
函数来确定要考虑的基准:
以A为基础:
model.matrix(~C(condition,base=1))
(Intercept) C(condition, base = 1)2
1 1 0
2 1 0
3 1 0
4 1 1
5 1 1
6 1 1
attr(,"assign")
[1] 0 1
attr(,"contrasts")
attr(,"contrasts")$`C(condition, base = 1)`
2
A 0
B 1
以B为基础:
model.matrix(~C(condition,base=2))
(Intercept) C(condition, base = 2)1
1 1 1
2 1 1
3 1 1
4 1 0
5 1 0
6 1 0
attr(,"assign")
[1] 0 1
attr(,"contrasts")
attr(,"contrasts")$`C(condition, base = 2)`
1
A 1
B 0
答案 1 :(得分:0)
这是您想要的结果吗?
df <- data.frame(condition)
design <- model.matrix( ~ condition-1)
design
conditionA conditionB
1 1 0
2 1 0
3 1 0
4 0 1
5 0 1
6 0 1
attr(,"assign")
[1] 1 1
attr(,"contrasts")
attr(,"contrasts")$`condition`
[1] "contr.treatment"