r- caret 包错误- createDataParition 没有观察 [英] r- caret package error- createDataParition no observation

问题描述

当我尝试在插入符号中运行 createDataPartition 时出现以下错误.

I'm getting the following error when I try to run createDataPartition in caret.

Error in createDataPartition(data1, p = 0.8, list = FALSE) : 
  y must have at least 2 data points

我昨晚运行了完全相同的代码，没有任何错误.有什么想法吗?

I ran the same exact same code last night with no errors. Any thoughts?

predictors<- with(df, data.frame(xvar, xvar, xvar, xvar))
data1<-with(dfu2, data.frame(data1))
library(caret)
set.seed(1)
trainingRows<- createDataPartition(data1,
                                   p=.80,
                                   list=FALSE)
> dput(head(data1, 15)) structure(list(data1 = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L)), .Names = "data1", row.names = c(NA, 15L), class = "data.frame")

数据框 data1 在我的环境中清晰可见并且具有预期的观察结果.有什么想法吗?

The data frame data1 is clearly visible in my environment and has the expected observations. Any thought?

推荐答案

这不起作用，因为 data1 在你的情况下是一个 data.frame 而它应该是一个向量，因为它在文档中提到?createDataPartition.看这个例子:

This does not work because data1 is a data.frame in your case whereas it should be a vector as it is mentioned the documentation of ?createDataPartition. See this example:

#using your data
data1 <- structure(list(data1 = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L)), .Names = "data1", row.names = c(NA, 15L), class = "data.frame")

现在如果我这样做:

> createDataPartition(data1)
Error in createDataPartition(data1) : y must have at least 2 data points

我遇到和你一样的错误.然而，如果它是一个向量:

I get the same error as you. Whereas, if it is a vector:

> createDataPartition(data1[[1]] )
$Resample1
[1]  1  2  3  4  8  9 12 15

效果很好.

因此，只需在 CreateDataPartition 调用中的代码中使用 data1[[1]] 即可.

So just use data1[[1]] in your code in the CreateDataPartition call and it will work.

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