Hfrxdjt

I have written a function that sources files that contain scripts for other functions and stores these functions in an alternative environment so that they aren't cluttering up the global environment. The code works, but contains two instances of eval(parse(...)):

# sourceFunctionHidden ---------------------------
# source a function and hide the function from the global environment
sourceFunctionHidden <- function(functions, environment = "env", ...) 
 if (environment %in% search()) 
 while (environment %in% search()) 
 if (!exists("counter", inherits = F)) counter <- 0
 eval(parse(text = paste0("detach(", environment, ")")))
 counter <- counter + 1 
 
 cat("detached", counter, environment, "sn")
 else cat("no", environment, "attachedn")
 if (!environment %in% ls(.GlobalEnv, all.names = T)) 
 assign(environment, new.env(), pos = .GlobalEnv)
 cat("created", environment, "n")
 else cat(environment, "already existsn")
 sapply(functions, function(func) 
 # source(paste0("C:/Users/JT/R/Functions/", func, ".R"), .env)
 source(paste0("C:/Users/JT/R/Functions/", func, ".R"))
 eval(parse(text = paste0(environment, "$", func," <- ", func)))
 cat(func, "created in", environment, "n")
 )
 # rm(list = functions, pos = .GlobalEnv)
 eval(parse(text = paste0("attach(", environment, ")")))
 cat("attached", environment, "nn")

Much has been written about the sub-optimality of the eval(parse(...)) construction (see here and here). However, the discussions that I've found mostly deal with alternate strategies for subsetting. The first instance of eval(parse(...)) in my code doesn't involve subsetting (the second instance might be related to subsetting).

Is there a way to call new.env(...) and [environment name]$[function name] <- [function name] without resorting to eval(parse(...))? Thanks.

N.B.: I don't want to change the names of my functions to .name to hide them in the global environment

If you want to keep it off global_env, put it into a package. It's common for people in the R community to put a bunch of frequently used helper functions into their own personal package.

For what its worth, the function source actually uses eval(parse(...)), albeit in a somewhat subtle way. First, .Internal(parse(...)) is used to create expressions, which after more processing are later passed to eval. So eval(parse(...)) seems to be good enough for the R core team in this instance.

That said, you don't need to jump through hoops to source functions into a new environment. source provides an argument local that can be used for precisely this.

local: TRUE, FALSE or an environment, determining where the parsed expressions are evaluated.

An example:

env = new.env()
source('test.r', local = env)

testing it works:

env$test('hello', 'world')
# [1] "hello world"
ls(pattern = 'test')
# character(0)

And an example test.r file to use this on:

test = function(a,b) paste(a,b)