[R] Objects disappearing in my R work space

[jim holtman]

One thing is to define "missing" a little better.  For example, as
mentioned previously, are you returning the values from a function
call?  If you, print out an indication that they exist at that point.
If there is further processing happening, put some checks as to their
existance as the code continues.  Can you localize where this is
happening?  If they are "disappearing", then there is something you
are doing in your code to most likely make it happen.  Until there is
something that people can reproduce, there are all types of theories
we can expound on.

If I was looking at the code, I could probably put checks in at
various points to see in what section these things disappeared.  Do
you have some 'try' functions around parts of the code that might not
be reporting some error conditions?  So probably until you can provide
something that we can at least look at, and exactly how you determined
that something disappeared, there is probably not much more we can do
at this point.

On Fri, Nov 25, 2011 at 6:19 PM, Duncan Murdoch
<murdoch.duncan at gmail.com> wrote:
> On 11-11-25 1:03 PM, Michael Clawson wrote:
>>
>> My problem with providing the code, is MCMC is a fairly integrated
>> process,
>> so I dont know how I would pare it down to send...
>> Would it work to send the MCMC code, and the three *.csv files to go along
>> with it?
>
> I don't understand.  If you can't make your code simple enough to post, how
> do you think we can possibly imagine what you're doing?
>
> Duncan Murdoch
>
>>
>> On Fri, Nov 25, 2011 at 9:54 AM, David
>> Winsemius<dwinsemius at comcast.net>wrote:
>>
>>>
>>> On Nov 25, 2011, at 10:08 AM, Michael Clawson wrote:
>>>
>>>  Uwe,
>>>>
>>>> by window I mean instances, by runs I mean, runs the my Markov-Chain
>>>> Monte
>>>> Carlo simulator
>>>>
>>>
>>> It would probably be better to adopt the terminology that the things you
>>> are calling "windows" are "sessions".
>>>
>>>
>>>> I open two instances of R, run a million cycle chain in each instance,
>>>> and
>>>> when they finish, neither window has the object I defined to store the
>>>> runs.
>>>>
>>>> I tested this morning and when I open two R windows and run a 5k cycle
>>>> chain in each instance, neither window has the object I defined to store
>>>> the runs.
>>>>
>>>> This does not happen when I only have one instance of R open
>>>>
>>>
>>> The most common cause of that behavior is failing to assign the output of
>>> a function to a name. There is an object named ".Last.value" that hosld
>>> the
>>> results of the last returned object even it it doesn't have another name.
>>>
>>> lapply(1:10,  I)
>>> test<- .Last.value
>>> test
>>> [[1]]
>>> [1] 1
>>>
>>> [[2]]
>>> [1] 2
>>> snipped rest of output
>>>
>>> But as Uwe said ... without the code, ... and your OS (to answer the
>>> question about memory)  .... and your sessionInfo() to make sure that
>>> this
>>> is not a GUI-related issue ... we cannot say very much.
>>>
>>>
>>>
>>>
>>>> 2011/11/25 Uwe
>>>> Ligges<ligges at statistik.tu-dortmund.**de<ligges at statistik.tu-dortmund.de>
>>>>>
>>>>
>>>>
>>>>>
>>>>> On 25.11.2011 05:12, Aldo wrote:
>>>>>
>>>>>  Is there a maximum memory allocation for all R windows open? because
>>>>> it
>>>>>>
>>>>>> is
>>>>>> like 1-3 million runs
>>>>>>
>>>>>>
>>>>> ????
>>>>> So you mean you open a million windows at the same time? In that case
>>>>> we
>>>>> really need your definition of "window".
>>>>>
>>>>>
>>>>> .... so... it may be reaching some sort of memory limit
>>>>>
>>>>>>
>>>>>>
>>>>> I do not know if any OS / window manager has the capability to open
>>>>> that
>>>>> many numbers of windows. But as I said, we need some difintions and
>>>>> examples.
>>>>>
>>>>> Uwe Ligges
>>>>>
>>>>> --
>>>>>
>>>>
>>> David Winsemius, MD
>>> West Hartford, CT
>>>
>>>
>>
>>        [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> 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.
>
> ______________________________________________
> 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.
>



-- 
Jim Holtman
Data Munger Guru

What is the problem that you are trying to solve?
Tell me what you want to do, not how you want to do it.