LyX Document Hi Bruce, <b> Combining date and times does not provide for sampling nights that roll over after midnight. </b> Ah yesss legacies <b>The location, date and time does provide unique variables.</b> Ah, i thought so <b>Rounding to nearest minute suffices for a summary of total minutes spent with "feeding attempts" vs total active time.</b> Okay, that removes my worry about durations. We can just treat each entry as one elapsed minute? however I still do not grasp the duplicated issue. we have in my dataframe: Species Location dtime Ptedav 7717 2000-07-03 20:15:00 Ptedav 7717 2000-07-03 20:15:00 Ptedav 7717 2000-07-03 20:15:00 Ptedav 7717 2000-07-03 20:15:00 Ptedav 7717 2000-07-03 20:15:00 I assume that this represents 5 separate recording but that they can be collapsed into one 1-minute data point? If so then would not all you need to do is run a simple table() command? To handle the Buzz one mould produce the Buzz data.frame and merge it with the new species data.frame? I must be missing something. It looks too simple.
On Wed, 25 Dec 2019 at 18:11, Neotropical bat risk assessments < neotropical.b...@gmail.com> wrote: > Hi Bert, > > Tnx for taking time to reply. > For clarification... the data do EXPLICITLY indicate when each species > is active and when a feeding buzz is recorded. > That is ALL it provides based on acoustic data recorded in the field. > Only when a species is recorded is it identified as active. > How this is accomplished is of no importance to the question I asked. > > Note this is Not "individuals" per se. but species as a group. > > I appreciate you taking time to reply. > Clearly this is not a simple solution to what I assumed to be a simple > question. > Restated as... > *How best to use R to calculate occurrence of event( (A) over time vs > all events (b...n) over the same time period give the data frame work I > have.* > > Cheers, > Bruce > > > > I will not get into your explanation of details that, like John, I > > find opaque. Please DO read Hadley's manifesto, as it appears that you > > need to organize your data more appropriately. > > > > AFAICS, however, strictly speaking your data cannot answer the > > question you have posed. **Strictly speaking** to know the proportion > > of active time bats spend feeding, **for each bat** you would need to > > know when it is active and when it is feeding during that time. You > > could then summarize this for all bats (e.g. take the average or > > median proportion) in a species or whatever. As you cannot identify > > individual bats in your data, you cannot do this -- i.e. you cannot > > answer your question. > > > > So the question then becomes: precisely **how** exactly do you propose > > using the data you have to determine when a *group* of bats are active > > and when they are feeding? How are the groups explicitly identified > > and how are their times active and feeding determined? In short, you > > need to have information that is something like: > > > > Bat.Group date active.time.start active.time.end > > feeding.time.start feeding.time.end > > > > ( for a given date and bat group, there may be many multiple entries; > > perhaps for a given group, date, and active time start and end, > > several feeding time start/stop entries ( I have no idea how bats > > behave)). > > > > Until you can expicitly explain how your data can generate such > > information, I think it will be difficult/impossible to help you. > > > > Cheers, > > Bert > > > > [[alternative HTML version deleted]] > > ______________________________________________ > 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. > -- John Kane Kingston ON Canada [[alternative HTML version deleted]] ______________________________________________ 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.