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.4...@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 <ericjber...@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.pi...@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/ >>> zasady-ochrany-osobnich-udaju/ | Information about processing and >>> protection of business partner's personal data are available on website: >>> https://www.precheza.cz/en/personal-data-protection-principles/ >>> Důvěrnost: Tento e-mail a jakékoliv k němu připojené dokumenty jsou >>> důvěrné a podléhají tomuto právně závaznému prohlášení o vyloučení >>> odpovědnosti: https://www.precheza.cz/01-dovetek/ | This email and any >>> documents attached to it may be confidential and are subject to the >> legally >>> binding disclaimer: https://www.precheza.cz/en/01-disclaimer/ >>> >>>> -----Original Message----- >>>> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Morkus >>> via R- >>>> help >>>> Sent: Monday, July 2, 2018 2:02 PM >>>> To: r-help@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@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@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@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@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. -- Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Office: A 4.23 Email: pd....@cbs.dk Priv: pda...@gmail.com ______________________________________________ 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.
