flow_view_vars {flow} | R Documentation |
Draw the dependencies of variables in a function
Description
This draws the dependencies between variables. This function
is useful to detect dead code and variable clusters. By default the variable
is shown a new time when it's overwritten or modified, this can be changed by
setting expand
to FALSE
.
Usage
flow_view_vars(
x,
expand = TRUE,
refactor = c("refactored", "original"),
out = NULL
)
Arguments
x |
The function, script or expression to draw |
expand |
A boolean, if |
refactor |
If using 'refactor' package, whether to consider original or refactored code |
out |
a path to save the diagram to. Special values "html", "htm", "png", "pdf", "jpg" and "jpeg" can be used to export the object to a temp file of the relevant format and open it, if a regular path is used the format will be guessed from the extension. |
Details
Colors and lines are to be understood as follows:
The function is blue
The arguments are green
The variables starting as constants are yellow
The dead code or pure side effect branches are orange and dashed
dashed lines represent how variables are undirectly impacted by control flow conditions, for instance the expression
if(z == 1) x <- y
would give you a full arrow fromy
tox
and a dashed arrow fromz
tox
expand = TRUE
gives a sense of the chronology, and keep separate the
unrelated uses of temp variables. expand = FALSE
is more compact and shows
you directly what variables might impact a given variable, and what variables
it impacts.
This function will work best if the function doesn't draw from or assign to other
environments and doesn't use assign()
or attach()
. The output might
be polluted by variable names found in some lazily evaluated function arguments.
We ignore variable names found in calls to quote()
and ~
as well as
nested function definitions, but complete robustness is probably impossible.
The diagram assumes that for / while / repeat loops were at least run once,
if a value is modified in a branch of an if call (or both branches) and
expand
is TRUE
, the modified variable(s) will point to a new one at the
end of the ìf
call.
Value
flow_vars()
returns a "flow_diagram"
object by default, and the output path invisibly if out
is not
NULL
(called for side effects).
Examples
flow_view_vars(ave)