quote <- function(namefoo, namebar){
set.seed(3)
foo <- rnorm(n = 5)
bar <- rnorm(n = 5)
return(list(namefoo=foo,namebar=bar))
}
From the above function, If I ran quote(test, test1)
the name of the two objects in the list remain as namefoo
and namebar
instead of what I specified in the function call.
从上面的函数,如果我运行quote(test,test1),列表中两个对象的名称仍然是namefoo和namebar,而不是我在函数调用中指定的名称。
If I just ran the code seperately as:
如果我只是单独运行代码:
set.seed(3)
foo <- rnorm(n = 5)
bar <- rnorm(n = 5)
obj <- list(test=foo,test1=bar)
Then obj will return foo
and bar
with the amended names. How do I make my function do this? I've tried several combinations of including quotes as well, from the function call to the function itself but it doesn't seem to work.
然后obj将返回带有修改名称的foo和bar。如何让我的功能这样做?我已经尝试了几种包含引号的组合,从函数调用到函数本身但它似乎不起作用。
3 个解决方案
#1
2
One way is this:
一种方法是:
quote <- function(namefoo, namebar){
set.seed(3)
foo <- rnorm(n = 5)
bar <- rnorm(n = 5)
out <- list(foo, bar)
names(out) <- c(namefoo, namebar)
out
}
You can save the list to a variable and then name the elements with names
.
您可以将列表保存到变量,然后使用名称命名元素。
# quote('foo', 'bar')
# $namefoo
# [1] -0.9619334 -0.2925257 0.2587882 -1.1521319
# [5] 0.1957828
#
# $namebar
# [1] 0.03012394 0.08541773 1.11661021
# [4] -1.21885742 1.26736872
#2
1
It's a very bad idea to name your function quote
, a very important R
function is named just like that.
命名函数引用是一个非常糟糕的主意,一个非常重要的R函数就是这样命名的。
Use setNames
:
使用setNames:
fun <- function(namefoo, namebar){
set.seed(3)
foo <- rnorm(n = 5)
bar <- rnorm(n = 5)
setNames(list(foo,bar),c(namefoo, namebar))
}
fun("hi","there")
# $hi
# [1] -0.9619334 -0.2925257 0.2587882 -1.1521319 0.1957828
#
# $there
# [1] 0.03012394 0.08541773 1.11661021 -1.21885742 1.26736872
You might also see this kind of code around too, using more advanced features of rlang
/ tidyverse
:
您也可以使用rlang / tidyverse的更高级功能看到这种代码:
library(tidyverse)
fun2 <- function(namefoo, namebar){
set.seed(3)
foo <- rnorm(n = 5)
bar <- rnorm(n = 5)
lst(!!namefoo := foo,!!namebar := bar)
}
fun2("hi","there")
# $hi
# [1] -0.9619334 -0.2925257 0.2587882 -1.1521319 0.1957828
#
# $there
# [1] 0.03012394 0.08541773 1.11661021 -1.21885742 1.26736872
#3
1
We can do
我们可以做的
quotefn <- function(...) {
nm <- c(...)
out <- replicate(length(nm), rnorm(n = 5), simplify = FALSE)
names(out) <- nm
out}
quotefn("foo", "bar")
#$foo
#[1] -0.5784837 -0.9423007 -0.2037282 -1.6664748 -0.4844551
#$bar
#[1] -0.74107266 1.16061578 1.01206712 -0.07207847 -1.13678230
#1
2
One way is this:
一种方法是:
quote <- function(namefoo, namebar){
set.seed(3)
foo <- rnorm(n = 5)
bar <- rnorm(n = 5)
out <- list(foo, bar)
names(out) <- c(namefoo, namebar)
out
}
You can save the list to a variable and then name the elements with names
.
您可以将列表保存到变量,然后使用名称命名元素。
# quote('foo', 'bar')
# $namefoo
# [1] -0.9619334 -0.2925257 0.2587882 -1.1521319
# [5] 0.1957828
#
# $namebar
# [1] 0.03012394 0.08541773 1.11661021
# [4] -1.21885742 1.26736872
#2
1
It's a very bad idea to name your function quote
, a very important R
function is named just like that.
命名函数引用是一个非常糟糕的主意,一个非常重要的R函数就是这样命名的。
Use setNames
:
使用setNames:
fun <- function(namefoo, namebar){
set.seed(3)
foo <- rnorm(n = 5)
bar <- rnorm(n = 5)
setNames(list(foo,bar),c(namefoo, namebar))
}
fun("hi","there")
# $hi
# [1] -0.9619334 -0.2925257 0.2587882 -1.1521319 0.1957828
#
# $there
# [1] 0.03012394 0.08541773 1.11661021 -1.21885742 1.26736872
You might also see this kind of code around too, using more advanced features of rlang
/ tidyverse
:
您也可以使用rlang / tidyverse的更高级功能看到这种代码:
library(tidyverse)
fun2 <- function(namefoo, namebar){
set.seed(3)
foo <- rnorm(n = 5)
bar <- rnorm(n = 5)
lst(!!namefoo := foo,!!namebar := bar)
}
fun2("hi","there")
# $hi
# [1] -0.9619334 -0.2925257 0.2587882 -1.1521319 0.1957828
#
# $there
# [1] 0.03012394 0.08541773 1.11661021 -1.21885742 1.26736872
#3
1
We can do
我们可以做的
quotefn <- function(...) {
nm <- c(...)
out <- replicate(length(nm), rnorm(n = 5), simplify = FALSE)
names(out) <- nm
out}
quotefn("foo", "bar")
#$foo
#[1] -0.5784837 -0.9423007 -0.2037282 -1.6664748 -0.4844551
#$bar
#[1] -0.74107266 1.16061578 1.01206712 -0.07207847 -1.13678230