Seadragon
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Hello,
I am faced with a perplexing challenge in analyzing my results for an ecology experiment. All help is immensely appreciated.
The situation:
I have 6-month longitudinal mass data for 8 hummingbirds. From eye-balling the data, time definitely has an effect: masses tend to decrease over time between certain intervals.
I am trying to discern whether a surgical implant has any effect on hummingbird mass. For each bird, the surgery was performed at a DIFFERENT TIME in the 6-month period.
So to recap:
Need to figure out if the implant (of negligible mass) affects hummingbird mass (makes them lose weight etc.). Operations done at different times throughout the year, and birds mass systematically decrease at certain intervals throughout the year.
Any ideas? Thanks so much for the help. I'm thinking ANOVA with covariate of day number... but I'm confused as to how to proceed.
I am faced with a perplexing challenge in analyzing my results for an ecology experiment. All help is immensely appreciated.
The situation:
I have 6-month longitudinal mass data for 8 hummingbirds. From eye-balling the data, time definitely has an effect: masses tend to decrease over time between certain intervals.
I am trying to discern whether a surgical implant has any effect on hummingbird mass. For each bird, the surgery was performed at a DIFFERENT TIME in the 6-month period.
So to recap:
Need to figure out if the implant (of negligible mass) affects hummingbird mass (makes them lose weight etc.). Operations done at different times throughout the year, and birds mass systematically decrease at certain intervals throughout the year.
Any ideas? Thanks so much for the help. I'm thinking ANOVA with covariate of day number... but I'm confused as to how to proceed.