I told you already: **Include code inline ** See ?dput for how to include a text version of objects, such as data frames, inline.
Otherwise, I believe .txt text files are not stripped if you insist on *attaching* data or code. Others may have better advice. Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Tue, Apr 2, 2019 at 1:21 PM Eric Bridgeford <ericw...@gmail.com> wrote: > How can I add attachments? The following two files were attached in the > initial message > > On Tue, Apr 2, 2019 at 3:34 PM Bert Gunter <bgunter.4...@gmail.com> wrote: > >> Nothing was attached. The r-help server strips most attachments. Include >> your code inline. >> >> Also note that >> >> > 0/0 >> [1] NaN >> >> so maybe something like that occurs in the course of your calculations. >> But that's just a guess, so feel free to disregard. >> >> >> Bert Gunter >> >> "The trouble with having an open mind is that people keep coming along >> and sticking things into it." >> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) >> >> >> On Tue, Apr 2, 2019 at 11:32 AM Eric Bridgeford <ericw...@gmail.com> >> wrote: >> >>> Hi R core team, >>> >>> I experienced the following issue with the attached data/code snippet, >>> where the studentized residual for a single observation appears to be NaN >>> given finite predictors/responses, which appears to be driven by the >>> glm.influence method in the stats package. I am curious to whether this >>> is >>> a consequence of the specific implementation used for computing the >>> influence, which it would appear is the driving force for the NaN >>> influence >>> for the point, that I was ultimately able to trace back through the >>> lm.influence method to this specific line >>> < >>> https://github.com/SurajGupta/r-source/blob/a28e609e72ed7c47f6ddfbb86c85279a0750f0b7/src/library/stats/R/lm.influence.R#L67 >>> > >>> which >>> calls C code which calls iminfl.f >>> < >>> https://github.com/SurajGupta/r-source/blob/master/src/library/stats/src/lminfl.f >>> > >>> (I >>> don't know fortran so I can't debug further). My understanding is that >>> the >>> specific issue would have to do with the leave-one-out variance estimate >>> associated with this particular point, which it seems based on my >>> understanding should be finite given finite predictors/responses. Let me >>> know. Thanks! >>> >>> Sincerely, >>> >>> -- >>> Eric Bridgeford >>> ericwb.me >>> ______________________________________________ >>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >>> https://stat.ethz.ch/mailman/listinfo/r-help >>> PLEASE do read the posting guide >>> http://www.R-project.org/posting-guide.html >>> and provide commented, minimal, self-contained, reproducible code. >>> >> > > -- > Eric Bridgeford > ericwb.me > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
