process evaluation packages (slightly off topic)
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
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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.