Dear Bob, I don't know any package that handles ordinal data the way you are looking for. I'd just would comment on the ordinal regression. Would the time of loss be the ordinal response? That seems inefficient to me when you have a lot of time points (= lots of ordinal classes). IMHO the survival analysis would make more sense.
Best regards, Thierry ir. Thierry Onkelinx Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance Kliniekstraat 25 1070 Anderlecht Belgium To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher The plural of anecdote is not data. ~ Roger Brinner The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. ~ John Tukey 2016-01-15 16:48 GMT+01:00 Bob O'Hara <rni....@gmail.com>: > Hi! > > I've been asked about a problem where I think I can see how to write > the model, but don't know if it's been implemented in R. It's not > something I work on a lot, so I'm hoping someone else can point me to > an answer straight away. > > The researcher has been carrying out germination experiments: lost of > seeds are put in several conditions (temperature humidity etc.), and > every few days they are checked to see if they have germinated. > Because the days are discrete I think it makes sense to view this as > an ordinal regression problem (rather than as an interval censored > survival analysis). But what makes this tricky is that there are days > when the researcher only checked some seeds. So for some seeds the > germination might fall into more than one category. > > Is there a package in R that can handle this, i.e. do an ordinal > regression where for some observations the categories are interval > censored? Or is it easier to go straight to a full interval-censored > survival analysis? > > Bob > > -- > Bob O'Hara > > Biodiversity and Climate Research Centre > Senckenberganlage 25 > D-60325 Frankfurt am Main, > Germany > > Tel: +49 69 798 40226 > Mobile: +49 1515 888 5440 > WWW: http://www.bik-f.de/root/index.php?page_id=219 > Blog: http://occamstypewriter.org/boboh/ > Journal of Negative Results - EEB: www.jnr-eeb.org > > ______________________________________________ > 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. > [[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.
