[R] Use R to plot a directory tree
marc_schwartz at me.com
Thu Oct 24 16:20:30 CEST 2013
One R package that might be of interest would be 'diagram':
I would also agree with Bert here and would point you in the direction of PSTricks, which can handle these sorts of complex figures. It would of course require learning LaTeX, but that is a good thing. :-)
More info here:
and lots of examples with code here:
I use PSTricks for creating things like subject disposition flow charts for clinical study reports.
On Oct 24, 2013, at 8:47 AM, Bert Gunter <gunter.berton at gene.com> wrote:
> A wild guess -- take a look at the CRAN "phylohenetics" task view, as
> that sounds like the sort of thing that might have tree generation and
> manipulation functions.
> ... but you may do better with some non-R tool out there.
> (Hopefully, you'll get a better response, though).
> On Thu, Oct 24, 2013 at 6:13 AM, Thaler,Thorn,LAUSANNE,Applied
> Mathematics <Thorn.Thaler at rdls.nestle.com> wrote:
>> Dear all,
>> I was wondering whether (or better: how) I can use R to read recursively a directory to get all the sub-folders and files located in the root folder and put it into a tree like structure where the leaves are files and intermediate nodes are the directories? The idea is that I'd like to plot the structure of a certain root folder to be able to restructure the file system.
>> Any ideas on that? I was googling a lot but apparently I did not use the right terms ("R tree folder" or "R tree directory" takes me mainly to pages about the "R-tree" a structure for spatial access methods [at least I learnt something new ;)])
>> Any pointer to the right function is highly appreciated.
>> Thorn Thaler
>> NRC Lausanne
>> Applied Mathematics
>> R-help at r-project.org mailing list
>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
> Bert Gunter
> Genentech Nonclinical Biostatistics
> (650) 467-7374
> R-help at r-project.org mailing list
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
More information about the R-help