R rfe 函数“插入符号"包错误:x 和 y 中的样本数应该相同 [英] R rfe function "caret" Package error: there should be the same number of samples in x and y

问题描述

因为我正在尝试取自 这里，我一直收到这个错误

As I'm trying the rfe example from the "caret" package taken from here, I kept on receiving this error

  Error in rfe.default(d[1:2901, ], c(1, 1, 1, 1, 1, 1, 2, 2, 2, 3, 3, 3,  : 
  there should be the same number of samples in x and y

这个问题已被问到但它的解决方案没有不适用于这种情况.

This question has been asked but its solution doesn't apply in this case.

代码如下:

set.seed(7)
# load the library
library(mlbench)
library(caret)

# load the data
d <- read.table("d.dat")

# define the control using a random forest selection function
control <- rfeControl(functions=rfFuncs, method="cv", number=10)

# run the RFE algorithm
results <- rfe(d[1:2901, ],   c(1,1,1,1, 1, 1,2,2,2, 3 ,3,3,4, 4, 4),   sizes=c(1:2901), rfeControl=control)

# summarize the results
print(results)

数据集是一个包含 2901 行(特征)和 15 列的数据框.向量 c(1,1,1,1,1,1,2,2,2,3,3,3,4,4,4) 是特征的预测变量.

The dataset is a data frame of 2901 rows (features) and 15 columns. The vector c(1,1,1,1,1,1,2,2,2,3,3,3,4,4,4) is the predictor for the features.

我设置错了什么参数?

推荐答案

rfe(x, y,sizes = subsets, rfeControl = ctrl)

你的问题是你没有 x 行的 nr 与向量 y 的长度相同

Your problem is that you dont have the nr of rows of x as same length of the vector y

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