[R] How automatic Y on install y/n prompts?

[Dimlak Gorkehgz]

You are right, maintainer does keep a list of model's packages.

So how do I use a variable instead of $adaboost$?

getModelInfo()$adaboost$library



Also, server not found:
http://rwiki.sciviews.org/doku.php?id=getting-started:reference-cards:getting-help

On Tue, Aug 1, 2017 at 11:46 AM, Bert Gunter <bgunter.4567 at gmail.com> wrote:

> I have provided you all the "advice" I can. Sorry it didn't help. You
> should re-post your responses to me to r-help so that others might
> help. you might also email the maintainer, found via the maintainer()
> function, who may not monitor the list.
>
> 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 31, 2017 at 9:38 PM, Dimlak Gorkehgz <rain8dome9 at gmail.com>
> wrote:
> >  tools::package_dependencies(packs, available.packages(),
> > +                             which=c("Imports",
> "LinkingTo","Enhances"), #
> > +                             recursive=T)
> >
> >
> >
> > (and suggests, and imports, and everything) does not include most
> packages
> > needed by every model. Recursive everything downloads most of all
> packages
> > available of CRAN. And then some necessary packages are not available and
> > every pass through brings up a prompt for them.
> >
> >
> >
> >
> > On Tue, Aug 1, 2017 at 11:12 AM, Dimlak Gorkehgz <rain8dome9 at gmail.com>
> > wrote:
> >>
> >> Excuse me if I did not explain myself correctly but I currently use:
> >>
> >> list.of.packages <- c("caretEnsemble","logicFS","
> >> RWeka","ordinalNet","xgboost","mlr","caret","MLmetrics","
> bartMachine","spikeslab","party","rqPen","monomvn","
> foba","logicFS","rPython","qrnn","randomGLM","msaenet","
> Rborist","relaxo","ordinalNet","rrf","frbs","extraTrees","
> ipred","elasticnet","bst","brnn","Boruta","arm","elmNN","
> evtree","extraTrees","deepnet","kknn","KRLS","RSNNS","partDSA","plsRglm","
> quantregForest","ranger","inTrees")
> >> new.packages <- list.of.packages[!(list.of.packages %in%
> >> installed.packages()[,"Package"])]
> >> if(length(new.packages)) install.packages(new.packages, dep = TRUE)
> >>
> >> #install.packages("mlr", dependencies = c("Depends", "Suggests"))
> >> #install.packages("caret", dependencies = c("Depends", "Suggests"))
> >>
> >> caret adds new algorithms fairly often but does not put them into
> >> suggests.
> >> On Tue, Aug 1, 2017 at 12:45 AM, Bert Gunter <bgunter.4567 at gmail.com>
> >> wrote:
> >>>
> >>> ?install.packages
> >>>
> >>> and pay attention to the "dependencies" argument.
> >>>
> >>> Th RStudio interface does not appear to allow for "suggests" packages
> >>> (correction appreciated if this is wrong) , which the command line
> >>> makes available.
> >>>
> >>> HTH.
> >>>
> >>> 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 31, 2017 at 5:07 AM, Dimlak Gorkehgz <rain8dome9 at gmail.com
> >
> >>> wrote:
> >>> > I am testing most of the models caret supports on a bunch of PCs.
> >>> > Unfortunately caret "suggested" packages do not include most of the
> >>> > model
> >>> > packages available to caret. Every time a new version of R comes out
> I
> >>> > have
> >>> > to sit in front of each PC and wait for each prompt to press the 1
> >>> > button
> >>> > and Enter. Is there an option I could set to tell R or Rstudio to
> just
> >>> > install anything asked for? A for every a/s/n prompt too.
> >>> >
> >>> >         [[alternative HTML version deleted]]
> >>> >
> >>> > ______________________________________________
> >>> > R-help at 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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