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Dear useRs, How does one include graphics created with Xfig with LaTeX fonts into Sweave? If I create a graphic with Xfig with some Computer Modern fonts, I choose to export it as combined PDF and LaTeX. So I get two files, one foo.pdf with the drawings without the text and foo.pdftex with some LaTeX code that ensures the text lands in the right place together with the drawing. I'm supposed

I see some value in Duncan?s proposal to implement this as an extra package instead of a change to base R, if only to see if the idea has legs. I?m minded to do so myself using your suggestion, but is there a particular reason why you recommend using the remotes package instead of devtools? The latter seems to have the same functions I would need, and I believe it is more widely installed that

Belated thanks to all who replied to my initial query. In summary, three approaches have been mentioned to run R code "in production": 1) ShinyProxy, mentioned by Tobias, for deploying Shiny applications; 2) Docker-like solutions, mentioned by Gergely and I?aki; and 3) Solutions based on Rscript or littler, mentioned by Dirk. I can't speak to 1) because I don't currently use

...summary() - i.e. so summary.object <- function(x) { summary(x) } doesn't blow up the stack - but is there a workaround? Chris -- Christopher N. Lawrence <clawren6 at slu.edu> Assistant Professor of Political Science (non-tenure-track) Saint Louis University 109 Fitzgerald Hall 3500 Lindell Boulevard St. Louis, Missouri 63103-1021 Website: http://www.cnlawrence.com/

Dear useRs, I am pretty sure the answer to my question is out there if I would just take the time to cross-correlate information that's scattered among different email exchanges, useR! presentations, Paul Murrel's website and assorted posters, but would some charitable soul be so kind as to explain the step by step procedure for having Sweave produce Lattice graphics with Computer Modern

Dear useRs, I have a file with a sequence of event timestamps, for instance the times at which someone visits a website: 02.02.2010 09:00:00 02.02.2010 09:00:00 02.02.2010 09:00:00 02.02.2010 09:00:01 02.02.2010 09:00:03 02.02.2010 09:00:05 02.02.2010 09:00:06 02.02.2010 09:00:06 02.02.2010 09:00:09 02.02.2010 09:00:11 02.02.2010 09:00:11 02.02.2010 09:00:11 etc, for several thousand rows.

Dear David, sharing some related (subjective) thoughts below. On Mon, Jan 7, 2019 at 9:53 PM David Lindelof <lindelof at ieee.org> wrote: > > Dear all, > > I?m working as a data scientist in a major tech company. I have been using > R for almost 20 years now and there?s one issue that?s been bugging me of > late. I apologize in advance if this has been discussed before.

Dear all, I?m working as a data scientist in a major tech company. I have been using R for almost 20 years now and there?s one issue that?s been bugging me of late. I apologize in advance if this has been discussed before. R has traditionally been used for running short scripts or data analysis notebooks, but there?s recently been a growing interest in developing full applications in the

On Mon, 7 Jan 2019 at 22:09, Gergely Dar?czi <daroczig at rapporter.net> wrote: > > Dear David, sharing some related (subjective) thoughts below. > > You can provide your app as a Docker image, so that the end-user > simply calls a "docker pull" and then "docker run" -- that can be done > from a user-friendly script as well. > Of course, this requires

I don't think anyone denies that you *could* make an EXE to do all that. The discussion is on *how easy* it should be to create a single file that contains an initial "main" function plus a set of bundled code (potentially as a package) and which when run will install its package code (which is contained in itself, its not in a repo), install dependencies, and run the main()