警告数值表达式具有> 1元素:仅第一个使用 [英] Warning numerical expression has >1 elements: only the first used

问题描述

我有一个数据集，如下所示:

Apr May Jun Jul Aug Sep Oct Nov b
1.0 9.0 4.0 5.3 6.4 3.4 2.5 4.3 2
5.0 6.0 9.0 2.3 5.8 2.3 6.5 5.2 3
8.0 4.0 6.0 0.7 5.2 1.2 2.2 6.1 4
2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 7
3.2 3.2 3.2 3.2 3.2 3.2 3.2 3.2 8
4.4 4.1 5.1 6.1 7.1 8.1 9.1 6.8 6
5.6 5.0 3.2 4.2 5.2 1.2 2.2 3.2 5
6.8 5.9 8.9 2.3 3.3 5.7 4.7 3.7 5
8.0 6.8 9.8 4.8 5.8 6.8 7.8 8.8 5
9.2 7.7 7.7 2.8 3.8 4.8 5.8 6.8 6

我想添加列总和data$sum=rowSums(data[data$b:8]).但是得到一个警告`数字表达式有2124个元素:仅第一个使用.请让我知道一种更好的方法.

解决方案

以下是基于您的评论的解决方案:

data$sum <- NA # important to create the column before the for loop
for (rowIdx in 1:nrow(data)) {
   startCol <- data[rowIdx, "b"]
   data[rowIdx, "sum"] <-  sum(data[rowIdx, startCol:8])
}

您需要使用for循环/Apply语句来实现此目的，因为您无法使用[子集运算符为每行指定不同的起始列.

当您使用[]而不使用逗号时，可能会发生两件事，具体取决于您的数据结构:

• 如果data是matrix，则它将整个矩阵视为单个向量，其中每一列接一个出现.例如，data[1:15]将在"Apr"列中返回10个值，然后在"May"列中返回前5个值.

• 如果data是data.frame，它将使用索引查找列.即data[1:5]与data[,1:5]相同.原因是data.frame实际上是引擎盖下的list()，其中每一列都是list()的元素.

I have a dataset as follows:

Apr May Jun Jul Aug Sep Oct Nov b
1.0 9.0 4.0 5.3 6.4 3.4 2.5 4.3 2
5.0 6.0 9.0 2.3 5.8 2.3 6.5 5.2 3
8.0 4.0 6.0 0.7 5.2 1.2 2.2 6.1 4
2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 7
3.2 3.2 3.2 3.2 3.2 3.2 3.2 3.2 8
4.4 4.1 5.1 6.1 7.1 8.1 9.1 6.8 6
5.6 5.0 3.2 4.2 5.2 1.2 2.2 3.2 5
6.8 5.9 8.9 2.3 3.3 5.7 4.7 3.7 5
8.0 6.8 9.8 4.8 5.8 6.8 7.8 8.8 5
9.2 7.7 7.7 2.8 3.8 4.8 5.8 6.8 6

I want to add a column sum data$sum=rowSums(data[data$b:8]). But getting a warning `numerical expression has 2124 elements: only the first used. Please let me know a better method.

解决方案

Here's a solution based on your comments:

data$sum <- NA # important to create the column before the for loop
for (rowIdx in 1:nrow(data)) {
   startCol <- data[rowIdx, "b"]
   data[rowIdx, "sum"] <-  sum(data[rowIdx, startCol:8])
}

You need to use a for loop / apply statement to achieve this because you cannot specify a different starting column for each row using the [ subset operator.

Two things can happen when you use [] without a comma depending on your data structure:

• If data is a matrix it will treat the entire matrix as a single vector, where each column occurs one after another. For example, data[1:15] will return the 10 values in the "Apr" column then the first 5 values in the "May" column.

• If data is a data.frame it will use the indices to look up columns. That is data[1:5] is the same as data[,1:5]. The reason for this is that a data.frame is really a list() underneath the hood, where each column is an element of the list().

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