Get all global objects of an expression
findGlobals(
expr,
envir = parent.frame(),
...,
attributes = TRUE,
tweak = NULL,
dotdotdot = c("warning", "error", "return", "ignore"),
method = c("ordered", "conservative", "liberal", "dfs"),
substitute = FALSE,
unlist = TRUE,
trace = FALSE
)globalsOf(
expr,
envir = parent.frame(),
...,
method = c("ordered", "conservative", "liberal", "dfs"),
tweak = NULL,
locals = NA,
substitute = FALSE,
mustExist = TRUE,
unlist = TRUE,
recursive = TRUE,
skip = NULL
)
findGlobals() returns a character vector.
globalsOf() returns a Globals object.
An R expression.
The environment from where to search for globals.
If TRUE (default), attributes of expr are also searched.
If FALSE, they are not.
If a character vector, then attributes with matching names are searched.
Note, the attributes of the attributes' elements are not searched, that is,
attributes are not searched recursively. Also, attributes are searched
with dotdotdot = "ignore".
An optional function that takes an expression and returns a tweaked expression.
TBD.
A character string specifying what type of search algorithm to use.
If TRUE, the expression is substitute():ed,
otherwise not.
If TRUE, a list of unique objects is returned.
If FALSE, a list of length(expr) sublists.
TBD.
Should globals part of any "local" environment of a function be included or not?
If TRUE, an error is thrown if the object of the identified global cannot be located. Otherwise, the global is not returned.
If TRUE, found globals are searched for additional globals. For example, a closure (function) that exists outside a package namespace may contain additional globals. Similarly, a formula may depend on globals.
(internal) A list of globals not to be searched for
additional globals. Ignored unless recursive is TRUE.
Not used.
There are currently three strategies for identifying global objects.
The method = "ordered" search method identifies globals such that
a global variable preceding a local variable with the same name
is not dropped (unlike the "conservative" method).
The method = "conservative" search method tries to keep the number
of false positives to a minimum, i.e. the identified objects are
most likely true global objects. At the same time, there is
a risk that some true globals are not identified (see example).
This search method returns the exact same result as the
findGlobals() function of the
codetools package.
The method = "liberal" search method tries to keep the
true-positive ratio as high as possible, i.e. the true globals
are most likely among the identified ones. At the same time,
there is a risk that some false positives are also identified.
The method = "dfs" search method identifies globals in
the abstract syntax tree (AST) using a depth-first search, which
better emulates how the R engine identifies global variables.
With recursive = TRUE, globals part of locally defined
functions will also be found, otherwise not.
Internally, the codetools package is utilized for code inspections.
b <- 2
expr <- substitute({ a <- b; b <- 1 })
## Will _not_ identify 'b' (because it's also a local)
globalsC <- globalsOf(expr, method = "conservative")
print(globalsC)
## Will identify 'b'
globalsL <- globalsOf(expr, method = "liberal")
print(globalsL)
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