[R] R maintains old values
JRG
|oe@|jrg @end|ng |rom @ccucom@net
Tue Jul 3 15:40:36 CEST 2018
On 07/03/2018 09:25 AM, J C Nash wrote:
> For the sake of those who didn't see the link, Jenny objects strongly to startup
> lines that either set a personal path or clear the workspace.
>
> While I agree both of these are anti-social to the point of pathology for scripts
> that are distributed, I have found it VERY important when testing things to actually
> clear the workspace etc. Too many times I've got a result that nobody else would get
> because I'm often loading some of my own packages or there are "useful" variables
> lurking.
>
> As usual, context is critical. Distributed scripts vs. developmental ones.
Agreed!
>
> Now, to add to the controversy, how do you set a computer on fire?
One of the Boring Company's Not A Flamethrowers ??
---JRG
John R. Gleason
>
> JN
>
> On 2018-07-03 03:52 AM, peter dalgaard wrote:
>> 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
>>>>>
>>>>> Osobní údaje: Informace o zpracování a ochraně osobních údajů obchodních
>>>>> partnerů PRECHEZA a.s. jsou zveřejněny na: https://www.precheza.cz/
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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]]
>>>>>>
>>>>>> ______________________________________________
>>>>>> 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.
>>>>>
>>>>> ______________________________________________
>>>>> 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
>>>> 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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>>>
>>> ______________________________________________
>>> 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.
>>
>
> ______________________________________________
> 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.
>
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