[R] masked by GlobalEnv ???
Martin Maechler
maechler at stat.math.ethz.ch
Sat May 12 17:05:24 CEST 2012
>>>>> R Michael Weylandt <michael.weylandt at gmail.com>
>>>>> on Sat, 12 May 2012 09:20:06 -0500 writes:
> The right response is not to use attach(). What's going
> on is that you have objects by those names in your global
> workspace and in the object you are attaching. Since
> .GlobalEnv is always (?) first on the search path, you
> won't be able to see those that you just added unless you
> remove the ones in .GlobalEnv (which name lookup will find
> first) Whether this is something you need to do something
> about is up to you -- it depends which ones you want to
> access.
> Still, I'll repeat -- the right answer is don't use attach().
> Michael
Thank you Michael.
Specifically, I would slightly change that to say
" only use attach() instead of load() "
since the latter overwrites objects in .GlobalEnv,
I do recommend using the former in this case.
Martin Maechler
ETH Zurich and R core Team
> On Sat, May 12, 2012 at 5:54 AM, Jhope
> <jeanwaijang at gmail.com> wrote:
>> Hi R Listers,
>>
>> I am trying to upload a data file and I received this
>> message. It seems that I am still able to make graphs and
>> Aeventexhumed still works in the analysis. Can I ignore
>> this message or do I need to do something about this?
>>
>> Jean
>>
>>> require(plyr)
>> Loading required package: plyr
>>> turtlehatch <- read.csv(file.choose())
>>> attach(turtlehatch)
>> The following object(s) are masked _by_ '.GlobalEnv':
>>
>> Aeventexhumed, DeadHatch, ExDate, Hatchlings,
>> MaxHatch, Oldeggs, Quadrat, QuadratEvent, ST0, ST1,
>> ST2, ST3, ST4, Sector, Shells, TotalEggs
>>
>> --
>> View this message in context:
>> http://r.789695.n4.nabble.com/masked-by-GlobalEnv-tp4628664.html
>> Sent from the R help mailing list archive at Nabble.com.
>>
>> ______________________________________________
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> ______________________________________________
> R-help at r-project.org mailing list
> 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.
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