[英]Recode a vector of binary factors in R as a dummy variable (0, 1)
I have a vector (really a column of a data frame) that looks like this: 我有一个向量(实际上是数据帧的一列),看起来像这样:
data$outcome
[1] Good Good Good Good Poor
Levels: Good Poor
Here is the str
on it: 这是它的str
:
str(data$outcome)
Factor w/ 2 levels "Good","Poor": 1 1 1 1 2
I don't want 1's and 2's as in as.numeric(data$outcome) [1] 1 1 1 1 2
我不希望像as.numeric(data$outcome) [1] 1 1 1 1 2
1和2。 as.numeric(data$outcome) [1] 1 1 1 1 2
I know you are not supposed to dummy-code the variables "manually" for regression, and I know about {psych} dummy.code()
, which returns a matrix. 我知道您不应该“手动”对变量进行虚拟编码以进行回归,并且我知道{psych} dummy.code()
,它返回一个矩阵。 I understand that I could use something like model.matrix()
on the data.frame: 我知道我可以在data.frame上使用诸如model.matrix()
之类的东西:
data$outcome <- model.matrix(lm(s100b ~ outcome, data))[,2]
Not nice... 不是很好...
Isn't there something like dummify(data$outcomes)
somewhere in R? R中是否没有类似dummify(data$outcomes)
东西? Please refrain from easy jokes... 请不要开玩笑...
I slightly prefer 我稍微喜欢
data$isGood <- as.numeric(data$outcome == 'Good')
because it is a bit more explicit / less opaque, and would still work even if someone added a new level 'Awesome' to the factor. 因为它更加显式/不透明,即使有人为该因子添加了新的级别“ Awesome”,它仍然可以使用。
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