Hello all,
I’m running simple linear regressions on multiple species of plants,
comparing abiotic factor X against plant trait Y (e.g. Species1: leaf length
vs air temperature).
Ideally, what I’m looking for is an output giving me the R2, p value,
coefficient, and Y intercept for each regression. Something like the example
below:
Species1: leaf length vs air temperature
R2 = 0.10 p = 0.50 m = 5.23 b = 12.2
Species2: leaf length vs air temperature
R2 = 0.10 p = 0.50 m = 5.23 b = 12.2
Species1: leaf length vs snow-free date
R2 = 0.10 p = 0.50 m = 5.23 b = 12.2
Species2: leaf length vs snow-free date
R2 = 0.10 p = 0.50 m = 5.23 b = 12.2
I currently have my data in this form:
Species LeafLength AirTemp. SnowFreeDate
Species1 1.1 20 160
Species2 4.5 20 160
Species3 5.4 20 160
And thought I could try this formula:
lm(formula = LeafLength~AirTemp, SnowFreeDate | Species)
But R is not a fan of it.
Is there a way to do this (or get something remotely close to this)?
I realize the output will probably be a bit messier than this, but what I’m
really looking to avoid is running these regressions individually.
--
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