Here is a bizarre recursive function I've written to help me understand the relationships between sys.parent() and the environment:
dive = function(level = 1, max.depth = 5)
{
m = match.call()
print(paste("sys.frame() says", format(sys.frame())))
print(paste("sys.parent() says", sys.parent()))
print(paste("sys.frame(sys.parent()) says", format(sys.frame(sys.parent()))))
m[[2]] = m[[2]]+1
if(m[[2]] > max.depth)
stop("Not actually an error -- we're just tripping out!")
eval(m)
}
Running the function gives
dive(level = 1, max.depth = 5)
[1] "sys.frame() says <environment: R_GlobalEnv>"
[1] "sys.parent() says 0"
[1] "sys.frame(sys.parent()) says <environment: R_GlobalEnv>"
[1] "sys.frame() says <environment: R_GlobalEnv>"
[1] "sys.parent() says 1"
[1] "sys.frame(sys.parent()) says <environment: 0x2831dd0>"
[1] "sys.frame() says <environment: R_GlobalEnv>"
[1] "sys.parent() says 4"
[1] "sys.frame(sys.parent()) says <environment: 0x3b1dff8>"
[1] "sys.frame() says <environment: R_GlobalEnv>"
[1] "sys.parent() says 7"
[1] "sys.frame(sys.parent()) says <environment: 0x3b31c68>"
[1] "sys.frame() says <environment: R_GlobalEnv>"
[1] "sys.parent() says 10"
[1] "sys.frame(sys.parent()) says <environment: 0x3c238c0>"
Error in dive(level = 5, max.depth = 5) :
Not actually an error -- we're just tripping out!
There is a lot going on here, but I'll keep my question simple: Why does sys.parent() increment first by 1 (from 0 to 1) then subsequently by 3 (i.e., 1, 4, 7, 10 ...)?
The parent of the global environment is the last package that you loaded. The only environment that doesn't have a parent is the empty environment. The enclosing environment of a function is the environment where it was created. It determines where a function looks for variables.
There are two ways to create a nested function in the R programming language: Calling a function within another function we created. Writing a function within another function.
The environment is a virtual space that is triggered when an interpreter of a programming language is launched. Simply, the environment is a collection of all the objects, variables, and functions.
For example, by nesting the AVERAGE and SUM function in the arguments of the IF function, the following formula sums a set of numbers (G2:G5) only if the average of another set of numbers (F2:F5) is greater than 50. Otherwise, it returns 0. The AVERAGE and SUM functions are nested within the IF function.
That's because you call dive
via eval
.
The example below will make clear:
> dive = function(level = 1, max.depth = 5)
+ {
+ m = match.call()
+ print(sys.calls())
+ cat("======================\n\n")
+ m[[2]] = m[[2]]+1
+ if(m[[2]] > max.depth)
+ stop("Not actually an error -- we're just tripping out!")
+ eval(m)
+ }
>
> dive(level = 1, max.depth = 3)
[[1]]
dive(level = 1, max.depth = 3)
======================
[[1]]
dive(level = 1, max.depth = 3)
[[2]]
eval(m)
[[3]]
eval(expr, envir, enclos)
[[4]]
dive(level = 2, max.depth = 3)
======================
[[1]]
dive(level = 1, max.depth = 3)
[[2]]
eval(m)
[[3]]
eval(expr, envir, enclos)
[[4]]
dive(level = 2, max.depth = 3)
[[5]]
eval(m)
[[6]]
eval(expr, envir, enclos)
[[7]]
dive(level = 3, max.depth = 3)
======================
Error in dive(level = 3, max.depth = 3) :
Not actually an error -- we're just tripping out!
Here is the modified version, which increments by one.
> dive = function(level = 1, max.depth = 5)
+ {
+ print(sys.calls())
+ cat("======================\n\n")
+ if(level+1 > max.depth)
+ stop("Not actually an error -- we're just tripping out!")
+ dive(level+1, max.depth)
+ }
>
> dive(level = 1, max.depth = 3)
[[1]]
dive(level = 1, max.depth = 3)
======================
[[1]]
dive(level = 1, max.depth = 3)
[[2]]
dive(level + 1, max.depth)
======================
[[1]]
dive(level = 1, max.depth = 3)
[[2]]
dive(level + 1, max.depth)
[[3]]
dive(level + 1, max.depth)
======================
Error in dive(level + 1, max.depth) :
Not actually an error -- we're just tripping out!
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