I think you need to find a local consultant. Someone here might have a suggestion or two where to look (as I do below), but this list only provides help on R programming code, not statistical issues (see programming guide below for details).
You might wish to have a look at the CRAN survival analysis task view to see if any packages might address your needs (but warning: it's mostly about medical applications): https://cran.r-project.org/web/views/Survival.html 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 Tue, Jun 27, 2017 at 7:58 AM, sandeep Rana <sandyk...@gmail.com> wrote: > Hi friends, > I haven't done such a simulation before and any help would be greatly > appreciated. I need your guidance. > > I need to simulate end to end data for Reliability/survival analysis of a > Pump ,with correlation in place, that is at 'Transactional level' or at the > granularity of time-minutes, where each observation is a reading captured via > Pump's sensors each minute. > Once transactional data is prepared I Then need to summarise above data for > reliability/ survival analysis. > > To begin with below is the transactional data format that i want prepare: > Pump-id| Timestamp | temp | vibration | suction pressure| discharge pressure > | Flow > > Above transactional data has to be prepared with below failure modes > Defects : > (1) Cavitation – very high in frequency but low impact > (2) Bearing Damage – very low in frequency but high impact > (3) Worn Shaft – medium frequency but medium impact > > I have used survsim package but that's not what I need here. > Please help and guide. > > Regards, > Sandeep > > ______________________________________________ > R-help@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. ______________________________________________ R-help@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.