Differences to r()
:
No extra repositories are set up.
The --no-save
, --no-restore
command line arguments are not used. (But --slave
still is.)
The system profile and the user profile are loaded.
No extra environment variables are set up.
r_copycat(
func,
args = list(),
libpath = .libPaths(),
repos = getOption("repos"),
cmdargs = "--slave",
system_profile = TRUE,
user_profile = TRUE,
env = character(),
...
)
Function object to call in the new R process.
The function should be self-contained and only refer to
other functions and use variables explicitly from other packages
using the ::
notation. By default the environment of the function
is set to .GlobalEnv
before passing it to the child process.
(See the package
option if you want to keep the environment.)
Because of this, it is good practice to create an anonymous
function and pass that to callr
, instead of passing
a function object from a (base or other) package. In particular
r(.libPaths)
does not work, because .libPaths
is defined in a special
environment, but
r(function() .libPaths())
works just fine.
Arguments to pass to the function. Must be a list.
The library path.
The repos
option. If NULL
, then no
repos
option is set. This options is only used if
user_profile
or system_profile
is set FALSE
,
as it is set using the system or the user profile.
Command line arguments to pass to the R process.
Note that c("-f", rscript)
is appended to this, rscript
is the name of the script file to run. This contains a call to the
supplied function and some error handling code.
Whether to use the system profile file.
Whether to use the user's profile file.
If this is "project"
, then only the profile from the working
directory is used, but the R_PROFILE_USER
environment variable
and the user level profile are not. See also "Security considerations"
below.
Environment variables to set for the child process.
Additional arguments are passed to r()
.
callr
makes a copy of the user's .Renviron
file and potentially of
the local or user .Rprofile
, in the session temporary
directory. Avoid storing sensitive information such as passwords, in
your environment file or your profile, otherwise this information will
get scattered in various files, at least temporarily, until the
subprocess finishes. You can use the keyring package to avoid passwords
in plain files.
Other callr functions:
r_vanilla()
,
r()