如何在r中建一棵树

Question

我正在处理一个学生成绩数据集，我收到了以下消息错误

trafo中的错误(data=data，numeric_trafo=numeric_tra fo，factor_trafo=factor_trafo，：不支持数据类"character"此外：警告消息：在storage.mode中(RET@predict_trafo)<-"双"：强制引入的NA

，我不知道为什么？

set.seed(1)
ind <- sample(2,nrow(d2),replace = TRUE ,prob = c(0.7,0.3))
trainData <- d2[ind==1,]
testData <- d2[ind==2,]
library(party)
myFormula <- higher~G1+G2+G3
d2_ctree <- ctree(myFormula, data=trainData)
table(predict(d2_ctree),trainData$higher)

Answer 1

虹膜数据的示例(因为您没有给出d2数据(：

library(party)
set.seed(1234) #To get reproducible result
ind <- sample(2,nrow(iris), replace=TRUE, prob=c(0.7,0.3))
trainData <- iris[ind==1,]
testData <- iris[ind==2,]
myFormula <- Species ~ Sepal.Length + Sepal.Width + Petal.Length + Petal.Width
d2_ctree <- ctree(myFormula, data=trainData)
table(predict(d2_ctree),trainData$Species)
plot(d2_ctree)

来源：来源

Answer 2

您应该将所有非数字列转换为数字列。

d2$higher = factor(d2$higher,levels = c("Label1","Label2","Label3"), 
labels = c(1, 2, 3))