Invokes an editor or email program to write a bug report or opens a web page for bug submission. Some standard information on the current version and configuration of R are included automatically.
1 2 3
Subject of the email.
Recipient's email address, where applicable: for package bug reports sent by email this defaults to the address of the package maintainer (the first if more than one is listed).
filename to use (if needed) for setting up the email.
Optional character vector naming a single package which is the subject of the bug report.
A character vector describing the location of R
library trees in which to search for the package, or
additional named arguments such as
NULL or a base package, this opens the R
bugs tracker at https://bugs.r-project.org/.
package is specified, it is assumed that the bug report is
about that package, and parts of its ‘DESCRIPTION’ file are
added to the standard information. If the package has a
BugReports field in the ‘DESCRIPTION’ file, that URL
will be opened using
browseURL, otherwise an email
directed to the package maintainer will be generated using
If R executes an illegal instruction, or dies with an operating system error message that indicates a problem in the program (as opposed to something like “disk full”), then it is certainly a bug.
Taking forever to complete a command can be a bug, but you must make certain that it was really R's fault. Some commands simply take a long time. If the input was such that you KNOW it should have been processed quickly, report a bug. If you don't know whether the command should take a long time, find out by looking in the manual or by asking for assistance.
If a command you are familiar with causes an R error message in a case where its usual definition ought to be reasonable, it is probably a bug. If a command does the wrong thing, that is a bug. But be sure you know for certain what it ought to have done. If you aren't familiar with the command, or don't know for certain how the command is supposed to work, then it might actually be working right. Rather than jumping to conclusions, show the problem to someone who knows for certain.
Finally, a command's intended definition may not be best for
statistical analysis. This is a very important sort of problem, but
it is also a matter of judgement. Also, it is easy to come to such a
conclusion out of ignorance of some of the existing features. It is
probably best not to complain about such a problem until you have
checked the documentation in the usual ways, feel confident that you
understand it, and know for certain that what you want is not
available. The mailing list
firstname.lastname@example.org is a better
place for discussions of this sort than the bug list.
If you are not sure what the command is supposed to do after a careful reading of the manual this indicates a bug in the manual. The manual's job is to make everything clear. It is just as important to report documentation bugs as program bugs.
If the online argument list of a function disagrees with the manual, one of them must be wrong, so report the bug.
When you decide that there is a bug, it is important to report it and to report it in a way which is useful. What is most useful is an exact description of what commands you type, from when you start R until the problem happens. Always include the version of R, machine, and operating system that you are using; type version in R to print this. To help us keep track of which bugs have been fixed and which are still open please send a separate report for each bug.
The most important principle in reporting a bug is to report FACTS, not hypotheses or categorizations. It is always easier to report the facts, but people seem to prefer to strain to posit explanations and report them instead. If the explanations are based on guesses about how R is implemented, they will be useless; we will have to try to figure out what the facts must have been to lead to such speculations. Sometimes this is impossible. But in any case, it is unnecessary work for us.
For example, suppose that on a data set which you know to be quite
large the command
data.frame(x, y, z, monday, tuesday) never
returns. Do not report that
data.frame() fails for large data
sets. Perhaps it fails when a variable name is a day of the week. If
this is so then when we got your report we would try out the
data.frame() command on a large data set, probably with no day
of the week variable name, and not see any problem. There is no way in
the world that we could guess that we should try a day of the week
Or perhaps the command fails because the last command you used was a
[ method that had a bug causing R's internal data structures
to be corrupted and making the
data.frame() command fail from
then on. This is why we need to know what other commands you have
typed (or read from your startup file).
It is very useful to try and find simple examples that produce apparently the same bug, and somewhat useful to find simple examples that might be expected to produce the bug but actually do not. If you want to debug the problem and find exactly what caused it, that is wonderful. You should still report the facts as well as any explanations or solutions.
Invoking R with the --vanilla option may help in isolating a bug. This ensures that the site profile and saved data files are not read.
A bug report can be generated using the function
For reports on R this will open the Web page at
https://bugs.r-project.org/: for a contributed package it will
open the package's bug tracker Web page or help you compose an email
to the maintainer.
Bug reports on contributed packages should not be sent to the
R bug tracker: rather make use of the
This help page is adapted from the Emacs manual and the R FAQ
help.request which you possibly should try
create.post, which handles emailing reports.
The R FAQ, also
sessionInfo() from which you may add
to the bug report.