对数据列表中的多个列执行操作

问题描述

假设我在列表中有以下数据帧:

Suppose I have the following data frames in a list:

df1 <- data.frame(x = runif(3), y = runif(3))
df2 <- data.frame(x = runif(3), y = runif(3))
df.list <- list(df1, df2)

现在假设我想添加x和y列以获得z列我知道在带有mutate的数据框中执行此操作很容易:

Now suppose I want to add column x and y to get column zI know to do this in a dataframe with mutate is as easy as:

dplyr::mutate(lapply(df.list, z = x + y))

如何使用lapply对列表中的多个列执行操作?

How do I perform operations on multiple columns in a list using lapply?

推荐答案

我们可以将transform与lapply

lapply(df.list, transform, z= x+y)

如果我们需要对多个列执行此操作，

If we need to do this for multiple columns,

lapply(df.list, transform, z= x+y, w= x*y)

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另一个选择是使用library(purr)(来自dplyr的作者)

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Another option would be using library(purr) (from the authors of dplyr)

library(dplyr)
library(purrr)
df.list %>% 
      map(mutate, z=x+y, w= z*y)

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