如何在列之间拆分数据框，例如在每第 n 列? [英] How do I split a data frame among columns, say at every nth column?

问题描述

假设我正在使用以下数据框:

Let's say I am working with the following data frame:

Mydata <- data.frame(X1 = c(1,2,3,4,5,6,7,8,9,10),X2 = c(1,3,1,1,1,5,1,1,8,1),
                     X3 = c(1,2,3,4,5,6,7,8,9,10),X4 = c(1,3,1,1,1,5,1,1,8,1),
                     X5 = c(1,2,3,4,5,6,7,8,9,10),X6 = c(1,3,1,1,1,5,1,1,8,1),
                     X7 = c(1,2,3,4,5,6,7,8,9,10),X8 = c(1,3,1,1,1,5,1,1,8,1),
                     X9 = c(1,2,3,4,5,6,7,8,9,10),X10 = c(1,3,1,1,1,5,1,1,8,1),
                     X11 = c(1,2,3,4,5,6,7,8,9,10),X12 = c(1,3,1,1,1,5,1,1,8,1))

我想将此数据帧拆分为三个独立的数据帧，其中 X1 ~ X4 列在一个数据框中，X5 ~ X8 在第二个数据框中，X9 ~ X12 列.我将如何编码以在任意数量的列中继续这种模式?

I want to split this data frame into three separate data frames, with columns X1 ~ X4 in one data frame, X5 ~ X8 in the second, and X9 ~ X12. How would I code this to continue this pattern for any number of columns?

推荐答案

每 4 列拆分 Mydata.我们可以显式使用 use split.default:

To split Mydata every 4 columns. We can use explicitly use split.default:

split.default(Mydata, rep(1:3, each = 4))

默认"方法可以按列拆分数据框.只需根据需要设置分组变量即可.

The "default" method can split a data frame by columns. Just set the grouping variable by your need.

对于平衡分组，gl 很方便(参见 ?gl).我们可以使用gl(3, 4)代替上面的rep(1:3, 4)，这样可以避免从整数"到因子"的类型转换.

For balanced grouping, gl is handy (see ?gl). We can use gl(3, 4) instead of rep(1:3, 4) in the above, which avoids type conversion from "integer" to "factor".

一般来说，对于每n列"使用gl(ncol(Mydata)/n, n)(n必须除以ncol(Mydata)).

In general, use gl(ncol(Mydata) / n, n) for "every n columns" (n must divide ncol(Mydata)).

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