如何使用R和dplyr同时为多个新列分配值？(How can I simultaneously assign value to multiple new columns with R and dplyr?)

 特定 
 
base <- data.frame( a = 1) 
f <- function() c(2,3,4)
 
 我正在寻找一种解决方案，该解决方案将导致函数f应用于base数据帧的每一行，并且结果将附加到每一行。 以下两项均无效： 
 
result <- base %>% rowwise() %>% mutate( c(b,c,d) = f() )
result <- base %>% rowwise() %>% mutate( (b,c,d) = f() )
result <- base %>% rowwise() %>% mutate( b,c,d = f() )
 
 这项任务的正确语法是什么？ 
 
 这似乎是一个类似的问题（ 在R中的一行中为LHS分配多个新变量 ）但我特别感兴趣的是用tidyverse的函数来解决这个问题。 

Given
 
base <- data.frame( a = 1) 
f <- function() c(2,3,4)
 
I am looking for a solution that would result in a function f being applied to each row of base data frame and the result would be appended to each row. Neither of the following works:
 
result <- base %>% rowwise() %>% mutate( c(b,c,d) = f() )
result <- base %>% rowwise() %>% mutate( (b,c,d) = f() )
result <- base %>% rowwise() %>% mutate( b,c,d = f() )
 
What is the correct syntax for this task?
 
This appears to be a similar problem (Assign multiple new variables on LHS in a single line in R) but I am specifically interested in solving this with functions from tidyverse.

原文：https://stackoverflow.com/questions/47895874