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.
