Reputation: 3263
This is a simple question but the answer is apparently not so simple... Is it possible to combine environments in R?
E1 = new.env()
E2 = new.env()
E1$x = 25
E2$y = 7
Ok, now I want an environment (say, E3
) that has both x
and y
defined.
c(E1, E2)
#doesn't work
E3 = new.env(E1, E2)
#doesn't work
I have found other similar questions but they don't seem to work for me.
Use case: Maybe there's a reason this isn't easy...the reason I want to do this is thus: I use some functions to load up data. Previously, I've just loaded it into the global environment, but I now have many different functions loading different types of data (which I call variously as needed), and so I wanted to keep the loaded data a bit more compartmentalized. If I call 2 different loading functions E1=loadData1()
and E2=loadData2()
, and I now want to call a function that uses variables from both of these functions, I'd like to be able to say with(E1 & E2, someFunction())
. Hence, merging my loaded environments seems appropriate.
So, what's the right way to merge them? And, as an aside, do you have a different suggestion for how to better accomplish what I'm doing, if merging environments is not the right way?
Upvotes: 18
Views: 4884
Reputation: 269905
1) Make one environment the parent of the other and use with(child, ...)
:
parent <- new.env(); parent$x <- 1
child <- new.env(parent = parent); child$y <- 2
with(child, x + y) # x comes from child and y from parent
## [1] 3
You can link as many environments as you like in as long a chain as necessary.
Note that if the child were initially created with no parent then you can add a parent later using:
parent.env(child) <- parent
Thus we define LoadData1
and LoadData2
as:
# define LoadData1 to have a parent argument
LoadData1 <- function(parent = emptyenv()) {
# calculation of environment e goes here
parent.env(e) <- parent
e
}
# define LoadData2 to have a parent argument
LoadData2 <- function(parent = emptyenv()) {
# calculation of environment e goes here
parent.env(e) <- parent
e
}
# run
e1 <- LoadData1()
e2 <- LoadData2(parent = e1)
with(e2, dataFrom1 + dataFrom2)
If you don't want to modify LoadData1
and LoadData2
from what they are now:
e1 <- LoadData1()
e2 <- LoadData2()
parent.env(e2) <- e1
with(e2, dataFrom1 + dataFrom2)
2) Convert to lists:
with(c(as.list(e1), as.list(e2)), somefunction())
ADDED Second approach.
Upvotes: 15
Reputation: 23134
I made this function:
> appendEnv = function(e1, e2) {
+ e1name = deparse(substitute(e1))
+ e2name = deparse(substitute(e2))
+ listE1 = ls(e1)
+ listE2 = ls(e2)
+ for(v in listE2) {
+ if(v %in% listE1) warning(sprintf("Variable %s is in e1, too!", v))
+ e1[[v]] = e2[[v]]
+ }
+ }
> e1 = new.env()
> e2 = new.env()
> e1$x = 1
> e1$y = 2
> e2$y = 3
> e2$z = 4
> appendEnv(e1, e2)
Warning message:
In appendEnv(e1, e2) : Variable y is in e1, too!
> as.list(e1)
$x
[1] 1
$y
[1] 3
$z
[1] 4
Upvotes: 6
Reputation: 66844
You can do it by combining them, converting the environments to lists, and then converting back:
E3 <- as.environment(sapply(c(E1,E2),as.list))
ls(env=E3)
[1] "x" "y"
E3$x
[1] 25
E3$y
[1] 7
Upvotes: 9