向量化赋值函数并在全局环境中创建对象

Question

我想对 assign 函数进行矢量化，并创建一组反映提供的命名向量的参数，这些参数可直接在 .GlobalEnv.

中使用

代码

vec_args <- c(arg1 = 1,
              arg2 = 2,
              arg3 =  3)

Vectorize(assign)(x = names(vec_args),
                  value = vec_args,
                  envir = globalenv())

错误

Error in dots[[3L]][[1L]] : wrong arguments for subsetting an environment

想要的结果

ag1 <- 1; arg2 <- 2; arg3 <- 3; ls()
# [1] "ag1"        "arg2"       "arg3"       "vec_args"

或通过assign:

实际上，我想复制调用：

assign(x = "arg1", value = vec_args[1], envir = globalenv())

对于向量的每个元素，并使用向量名称在 .GlobalEnv 中创建名称。

Answer 1

此功能已通过 list2env 提供：

From a named ‘list x’, create an ‘environment’ containing all list components as objects, or “multi-assign” from ‘x’ into a pre-existing environment.

list2env(as.list(vec_args), envir = globalenv())
ls()
# [1] "arg1"     "arg2"     "arg3"     "vec_args"

像下面这样的东西也可以工作：

rm(list = ls())
vassign <- Vectorize(assign, c("x", "value"))
vec_args <- c(arg1 = 1, arg2 = 2, arg3 = 3)
vassign(names(vec_args), vec_args, envir = globalenv())
ls()
# [1] "arg1"     "arg2"     "arg3"     "vassign"  "vec_args"

向量化赋值函数并在全局环境中创建对象

Vectorize the assign function and create objects in global environment

namespaces

r

vectorization

assign

代码

错误

想要的结果