Strictly speaking, this is a statistical analysis issue, not an R question, although I grant you that the intersection of the two is nonempty. Nevertheless, I would suggest that you post on a statistics list like stats.stackexchange.com . In fact, because the issue of how to effectively deal with such data appears to be far from trivial, you might better seek local statistical advice. Once you have decided **what** to do, you could then come back here to inquire about R packages and procedures to do it -- if you are unable to first find something through internet search of course.
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 Thu, Dec 24, 2015 at 5:41 AM, REES T. (706713) <t.rees.706...@swansea.ac.uk> wrote: > Hi there, > > Firstly forgive me if this seem obvious, if there is existing literature on > this i can't find it. > > I am looking at conditioning to stimuli and there in the time taken to > perform a certain task. > > The IV for this data is Conditioning periods ranging from 1-34 periods and > the DV is the time taken for the behavioral response to occur 0-300s. > I am aware that this could simply be looked at through a simple linear > regression, however due to the nature of conditioning there is an abundance > of zeros in the data. > On top of this the response time data is right censored (i believe), in that > they were given a five minute period to respond after this five minute period > (300 seconds) the conditioning period was terminated, so no more data was > recorded. > > Attached is the data (in .csv format) for time spent out, 0 indicated no time > out and 300 indicated all time out during the 5 minutes. > > I have considered looking at zero-inflated censored regressions and others > similar analysis but I cannot find an analysis that suits the data I have and > actually works. > So what is the best analysis method to deal with this data? > Admittedly i could be completely missing the target, if that's the case > please feel free to say so. Any help with the route that I should go down > here would be much appreciated, even if it is blindingly obvious. > > Sincerely > > Tom Rees > ______________________________________________ > 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.
