[R] process evaluation packages (slightly off topic)
Petr PIKAL
petr.pikal at precheza.cz
Wed Aug 8 11:40:02 CEST 2012
Thanks Rui
igraph seems to be more related to my problem, so I will try to play with
it.
Regards
Petr
>
> Hello,
>
> There's also, apparently for simple needs, plotrix::gantt.chart
> See an example in
> http://addictedtor.free.fr/graphiques/sources/source_74.R
>
> To transfer graphs to timelines, etc, (or anything graph related)
> package igraph.
>
> Hope this helps,
>
> Rui Barradas
>
> Em 07-08-2012 14:46, Bert Gunter escreveu:
> > Search on "R package Gantt", where you will find, among others,
> >
> > http://cran.r-project.org/web/packages/plan/plan.pdf
> >
> > -- Bert
> >
> > On Tue, Aug 7, 2012 at 1:28 AM, Petr PIKAL <petr.pikal at precheza.cz>
wrote:
> >> Dear all
> >>
> >> I need to perform some process evaluation. Sorry for not posting data
and
> >> code - I do not have any, I ask only for pointing me to correct
direction.
> >>
> >> Suppose I have several connected processes P1, P2, ..., Pn. Each
process
> >> takes some time and have some capacity (let say like preparing a
dinner
> >> for several persons - only one stove, limited capacity of utensils,
> >> heating and cooling takes some time) and some processes can by cyclic
(fry
> >> onion in pan, put it aside, in the same pan fry meat, put an onion
and
> >> some water and simmer for a while...).
> >>
> >> I can prepare some oriented graph (paper/pencil) or Word or drawing
> >> programme, I can also evaluate whole process by shading spreadsheet
cells
> >> but those two tasks are not connected.
> >>
> >> Is there any R package/other software suitable for simplifying or
helping
> >> in such tasks? E.g. When I prepare oriented graph with capacity and
time
> >> for each node is there any automatic way to transfer this graph to
> >> timeline to see how long whole process will take, where are
bottlenecks or
> >> so?
> >>
> >> Thank you
> >>
> >> Petr
> >>
> >> ______________________________________________
> >> R-help at r-project.org mailing list
> >> 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 at r-project.org mailing list
> 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.
More information about the R-help
mailing list