Dear Vitalie,
On 11/8/18 2:32 PM, Vitalie Spinu via ESS-help wrote:
There are essentially 3 cases:
Thank you very much for the helpful reply!
1. `moose` is public (exported) function in your package. This means it is
present in both namespace and package environments when the package is
loaded.
In this case, when you eval moose <- function() ... it goes into both package
environment and namespace environment of the package.
It appears there are two variants to this case. One case is as you
describe where I'm working on a package that I load with
devtools::load_all. Another is the case of a package that is installed
with devtools::install and then I have some other code I'm working on
that is calling routines in the installed package. I naively assumed
that i could just C-c C-r the source for an installed function and I
would get the new version, at least for the current R session. That
doesn't seem to be the case. Perhaps it's the object sealing you mention
below.
My workaround is to just not INSTALL (or devtools::install) my packages
(note one of my occasional R peeves - using capitalization for
disambiguation not for emphasis) and to load_all them. This seems to be
working for the moment and has greatly reduced my frustration level!
3. Final case which (seems to be of main interest to you) when `moose` is a
new function. Then, due to the fact that R namepsaces are sealed for new
objects ESS has to do some cheating. It basically inserts a new environment
between package namespace env and its parent and adds all new objects to that
environment. You should get NEW[moose] message in the minibuffer.
With this arrangement all your code will work as if that function exists in
the actual package environment, but you won't be able to see that object with
ls.
Is that new environment from the REPL? My workaround here is to type
code directly into the file that has the, e.g., new function/variable
definition, eval what I need with C-c C-r, e.g., and then delete the
code. Not the most convenient, but not horrible.
3. If I can’t do this is there some easy way to build an reinstall an existing R
library without having to call me R process and restart every time I want to
make a simple change to a library function (this is where I find myself now).
Namespaced evaluation should work for R code as described above. If not, it's a
bug.
Ok, it's very helpful to know what the intended/expected behavior us
before I go running off thinking something might be a bug.
thanks again!
Cyrus
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