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我有一个包含 6 个品牌的数据集(Node1),在应用 ctree() 时,它被分成 2 个终端节点。Node2 包含 4 个品牌 Node3 包含 2 个品牌。我想提取每个终端节点的这些品牌并将它们存储在两个不同的数据框中。请建议如何做同样的事情。

这就是我编码的内容:

    library("party")
    library(gridExtra)
    fileName <- "C\\"
    data <- read.csv(paste(fileName, ".csv", sep=""), header=TRUE)
    pdd <- subset(data, select=c(col1,col2))

    pdd_ctree <- ctree(col1~col2, data=pdd, controls =  ctree_control(minsplit=30))

    print(pdd_ctree@tree$psplit$splitpoint[1:6])
    print(pdd_ctree@tree$psplit$splitpoint)

我得到的结果是:

    print(pdd_ctree@tree$psplit$splitpoint[1:6])
    [1] 1 0 1 1 0 1

    print(pdd_ctree@tree$psplit$splitpoint)
    [1] 1 0 1 1 0 1
    attr(,"levels")
    [1] "Brand01"            "Brand02"                "Brand03"          "Brand04"             
    [5] "Brand05" "Brand06"  

我的要求:

有 2 个数据框 left.df 和 right.df

left.df 将包含 [Brand01,Brand03,Brand04,Brand06]

right.df 将包含 [Brand02,Brand05]

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1 回答 1

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我想你只是想要:

lvls <- levels(pdd_ctree@tree$psplit$splitpoint)
left.df = lvls[pdd_ctree@tree$psplit$splitpoint == 1]
right.df = lvls[pdd_ctree@tree$psplit$splitpoint == 0]
于 2015-02-21T01:04:54.887 回答