說法「適合」失蹤，R暴民（）在方包

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) 

錯誤甲縮醛（FIT）：參數「適合」缺失，沒有默認設置 究竟是通過爭論意味着丟失，請澄清

Answer 1

模型公式必須是"formula"而不是"character"。所以f需要不帶引號來定義：

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

或者你也可以直接將其移動到mob()電話。然後你得到這個情節，

# 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)