在 R model.matrix 中专门指定对比

Question

如果我有一个 2 级的变量（条件）并想创建一个 model.matrix R 自动分配 conditionB 作为设计矩阵中的术语。

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：我想得到相对于 conditionA 的结果。我如何在 model.matrix() 中指定它？

（解决方法是反转生成的 FC）

Answer 1

您可以使用 C 函数来确定要考虑的基数：

以A为底：

 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为底：

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

Answer 2

是你想要的结果吗？

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"

在 R model.matrix 中专门指定对比

Specifically assign contrasts in R model.matrix

r

model.matrix