r - 参数“适合”缺失：派对包中的 R mob()

Question

#Logistic Model Based Recursive Partitioning
library(party)
data("PimaIndiansDiabetes2",package = "mlbench")
set.seed(16)
n=nrow(PimaIndiansDiabetes2)
train <- sample(1:n, 600, FALSE)
#mass and pedigree are conditioning varibles for logistic regression
f<-"diabetes ~ mass + pedigree|glucose + pregnant + pressure + triceps +
insulin + age"
fit <- mob(f, data=PimaIndiansDiabetes2[train, ], model=glinearModel, family=binomial())
plot(fit)

形式错误（适合）：缺少参数“适合”，没有默认参数缺少的确切含义，请澄清

Answer 1

模型公式必须是 a"formula"而不是 a "character"。所以f需要在没有引号的情况下定义：

f <- diabetes ~ mass + pedigree | glucose + pregnant + pressure + triceps + insulin + age

或者，您可以将其直接移动到mob()通话中。然后你得到这个情节，

# mass and pedigree are conditioning variables for logistic regression
fit <- mob(diabetes ~ mass + pedigree | glucose + pregnant + pressure + triceps + insulin + age, 
  data = PimaIndiansDiabetes2[train, ], model = glinearModel, family = binomial())
plot(fit)