# blkio_weight = NULL, blkio_weight_device = NULL, # update(cpu_shares = NULL, memory = NULL, cgroup_parent = NULL, # remove(delete_volumes = NULL, force = NULL, link = NULL) # put_archive(src, path, no_overwrite_dir_non_dir = NULL) # until = NULL, timestamps = NULL, tail = NULL, stream = stdout()) # logs(follow = NULL, stdout = TRUE, stderr = TRUE, since = NULL, # help(help_type = getOption("help_type")) # exec_create(cmd, stdin = NULL, stdout = TRUE, stderr = TRUE, # user = NULL, working_dir = NULL, detach = FALSE, # detach_keys = NULL, tty = NULL, env = NULL, privileged = NULL, # exec(cmd, stdin = NULL, stdout = TRUE, stderr = TRUE, # labels = NULL, stop_signal = NULL, stop_timeout = NULL, # network_disabled = NULL, mac_address = NULL, on_build = NULL,
# volumes = NULL, working_dir = NULL, entrypoint = NULL, # healthcheck = NULL, args_escaped = NULL, image = NULL, # open_stdin = NULL, stdin_once = NULL, env = NULL, cmd = NULL, # attach_stderr = NULL, exposed_ports = NULL, tty = NULL, # user = NULL, attach_stdin = NULL, attach_stdout = NULL, # comment = NULL, pause = NULL, hostname = NULL, domainname = NULL, # commit(repo = NULL, tag = NULL, author = NULL, changes = NULL, # Status: Downloaded newer image for bfirsh/reticulate-splines:latest # These are discussed further in the applications vignetteĭocker $ container $ run ( "bfirsh/reticulate-splines", detach = TRUE ) # Unable to find image 'bfirsh/reticulate-splines:latest' locally # Pulling from bfirsh/reticulate-splines latest a researcher might use docker to do a reproducible analysis, or preserve the artefacts that were created along with a copy of the environment that created them.a developer using an external database in a package or in an analysis script might use docker to create disposable copies of the database, or to create a copy isolated from their production database.
#DOCKER IP ADDRESS GITHUB ERROR CODE#
package authors might want a clean environment to test their code (similar to travis).
Why would one want to use docker from R? Whenever you need to control external processes from an R script or package, it might be useful to interact with this process from in containers using docker
It’s similar conceptually to virtualisation, but much more light weight. What is docker? Docker is a platform for “containerising” applications - running them in isolation from one another, removing differences of how they are built, what they are built from, and what resources they need (disk, ports, users, etc).
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