Thanks, Thierry & Duncan. I'll go down the survival analysis route.
The data are for central American epiphytes, so not your usual
species. Visually there's definitely differences in the times of
germination, but not in eventual germination, so that's
straightforward.
Bob
On 17 January 2016 at 0
This does seem to be a good situation for ordinal regression. The R rms
package's orm function allows for thousands of categories in Y. But it
doesn't handle censoring.
This discussion would be better for stats.stackexchange.com
Frank
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Hi
I have never seen germination experiments carried out as ordinal regression.
Most germination tests are done using a nls model.
For some species germination may only start a week after planting and then
germinate over 2 or 3 days.
If all germinated over the experimental period and there is no
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
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