Hi I have trouble making a best fitted curve for a xy-plot. My data consist
of two groups with four repititions for each x-value.
plot(weight~gdd,data=weight,pch=as.numeric(species))
http://r.789695.n4.nabble.com/file/n4647692/Weight.jpeg
Can you help?
Cecilie
--
View this message in
Looking at that data, it looks like the two species respond differently to
GDD. Fitting a curve means first defining and then fitting a model that,
once fit, has fitted values that will give you the curve that you wold like
to draw.
The simplest would be a series regression with interaction
Dear fellows,
I need a R script that compare known curves (e.g. logistic, exponential)
with my curve. That curve was generated fitting data of forest cover
(hectares) measured in 10 road distances (buffers).
I´d like that comparison should be done using AICc to select the best model,
that is,
Simon
I need a R script that compare known curves (e.g. logistic, exponential)
with my curve. That curve was generated fitting data of forest cover
(hectares) measured in 10 road distances (buffers).
I´d like that comparison should be done using AICc to select the best model,
that is, the
4 matches
Mail list logo
