[R] R maintains old values
peter dalgaard
pd@|gd @end|ng |rom gm@||@com
Tue Jul 3 09:52:46 CEST 2018
Also beware the traveling arsonist, Jenny Bryan:
https://www.tidyverse.org/articles/2017/12/workflow-vs-script/
-pd
> On 2 Jul 2018, at 17:11 , Bert Gunter <bgunter.4567 using gmail.com> wrote:
>
> ... or perhaps
>
> rm( list = ls(all = TRUE))
> ## see ?ls for details.
>
> However, see ?Startup for how to start a R in a "clean" environment, e.g.
> with the --no-restore option.
>
> Cheers,
> Bert
>
>
> 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 Mon, Jul 2, 2018 at 7:47 AM, Eric Berger <ericjberger using gmail.com> wrote:
>
>> If you want a "fresh" R session when you start to run the script you could
>> consider putting as the first line
>>
>> rm(list=ls())
>>
>> This will remove objects from your environment (variables, functions, ..)
>>
>> HTH,
>> Eric
>>
>>
>> On Mon, Jul 2, 2018 at 5:34 PM, PIKAL Petr <petr.pikal using precheza.cz> wrote:
>>
>>> Hi
>>>
>>> Without code it is just fishing in murky waters. Could the problem you
>>> face be that in each run you assingn the result to some object and if the
>>> CSV is wrong your code fails but the object from previous run persists?
>>>
>>> If this is the case just initialize your objects in the beginning (e.g.
>>> make them NULL at the beginning) and only if code delivers result the
>> value
>>> of the result is returned otherwise NULL is returned.
>>>
>>> Cheers
>>> Petr
>>>
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>>>> -----Original Message-----
>>>> From: R-help [mailto:r-help-bounces using r-project.org] On Behalf Of Morkus
>>> via R-
>>>> help
>>>> Sent: Monday, July 2, 2018 2:02 PM
>>>> To: r-help using r-project.org
>>>> Subject: [R] R maintains old values
>>>>
>>>> Hello,
>>>>
>>>> I have a strange side-effect from executing R-scripts using R and
>> RServe.
>>>>
>>>> I am executing an R-Script from a Java file using RServe in R. I also
>>> have RStudio
>>>> installed, but it's not running at the time. The R-script reads a CSV
>>> file and does
>>>> various statistical things. RServe enables me to run each line of the R
>>> script
>>>> using "eval()" line by line.
>>>>
>>>> All this works fine for a correctly-formatted CSV file. It's great.
>>>>
>>>> But, if the CSV file isn't correctly formatted, AND the last CSV file
>>> did correctly
>>>> get run, then, with the incorrect CSV as input, the output is what ran
>>> last time.
>>>> Somehow, the last correct run is persisted and returned if there is
>> some
>>>> problem with the current CSV input.
>>>>
>>>> This data persistence is maintained across reboots.
>>>>
>>>> I'm thus baffled how R is maintaining these old values, but more to the
>>> point, I
>>>> need to know how to clear these old values so if the CSV input is
>>> incorrect, I get
>>>> nothing back, not the old CSV values from a correctly formatted file.
>>>>
>>>> Hope this description is clear.
>>>>
>>>> Thanks in advance to all.
>>>>
>>>> - M
>>>>
>>>> Sent from [ProtonMail](https://protonmail.com), Swiss-based encrypted
>>> email.
>>>> [[alternative HTML version deleted]]
>>>>
>>>> ______________________________________________
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>>>> PLEASE do read the posting guide http://www.R-project.org/
>>> posting-guide.html
>>>> and provide commented, minimal, self-contained, reproducible code.
>>>
>>> ______________________________________________
>>> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
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>>> posting-guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
>>>
>>
>> [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help using 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.
>>
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
--
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone: (+45)38153501
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