评估框架 不同。
$ b 封闭环境在函数定义时设置。如果您在R提示符处定义您的函数 g
:
g =函数(x)x + h
然后封闭环境 g 将成为全球环境。现在,如果您从另一个函数调用 g
:
$ b
f = function ){
h = 3
g(2)
}
家长评估框架是 f
的环境。但是这并不会改变 g
的封闭环境,这是一个固定的属性,不依赖于它的评估位置。这就是为什么它不会取得 f
中定义的 h
的值。
如果您希望 g
使用<$ c中定义的 h
的值$ c> f ,那么你还应该在 f
中定义 g
:
f = function(){
h = 3
g = function(x)x + h
g 2)
}
现在 g
的封闭环境将是 f
的环境(但请注意,这个 g
不等于 g
您之前在R提示符处创建的)。
或者,您可以修改<$ c
f = function(){
h = 3 $ c $ g $ / code>
environment(g)< - environment()
g(2)
}
Suppose I have the following function:
g = function(x) x+h
Now, if I have in my environment an object named h
, I would not have any problem:
h = 4
g(2)
## should be 6
Now, I have another function:
f = function() {
h = 3
g(2)
}
I would expect:
rm(h)
f()
## should be 5, isn't it?
Instead, I get an error
## Error in g(2) : object 'h' not found
I would expect g
to be evaluated within the environment of f
, so that the h
in f
will be bound to the h in g, as it was when I executed g
within the .GlobalEnv
. This does not happen (obviously). any explanation why? how to overcome this so that the function within the function(e.g. g
) will be evaluated using the enclosing environment?
解决方案
There's a difference between the enclosing environment of a function, and its (parent) evaluation frame.
The enclosing environment is set when the function is defined. If you define your function g
at the R prompt:
g = function(x) x+h
then the enclosing environment of g
will be the global environment. Now if you call g
from another function:
f = function() {
h = 3
g(2)
}
the parent evaluation frame is f
's environment. But this doesn't change g
's enclosing environment, which is a fixed attribute that doesn't depend on where it's evaluated. This is why it won't pick up the value of h
that's defined within f
.
If you want g
to use the value of h
defined within f
, then you should also define g
within f
:
f = function() {
h = 3
g = function(x) x+h
g(2)
}
Now g
's enclosing environment will be f
's environment (but be aware, this g
is not the same as the g
you created earlier at the R prompt).
Alternatively, you can modify the enclosing environment of g
as follows:
f = function() {
h = 3
environment(g) <- environment()
g(2)
}
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