Hello!
I have a quenstion about comparing models. Not models fitted by R itself, but user defined models. Ill explain through this example:
Dataset:
Tree Diameter Biomass Model1biomass Model2biomass
1 10 50 45 60
2 7 35 52 48
The 'Biomass' column was received by actually cutting the trees and weighing them. The two other colums 'Model1biomass' and 'Model2biomass' were obtained using the following formulas:
Model1biomass = 34.4703-8.0671*Diameter+0.6589*Diameter*Diameter
Model2biomass = 38.49089-11.7883*Diameter+1.1926*Diameter*Diameter
So these equations use the column 'Diameter' to determine the total biomass.
My problem is comparing these results/models with the correct biomass (the values in column 'Biomass') in terms of RSE, AIC...
How can i do that scince these are not fitted models, and or not linear?
Thank you
Wooferd
I have a quenstion about comparing models. Not models fitted by R itself, but user defined models. Ill explain through this example:
Dataset:
Tree Diameter Biomass Model1biomass Model2biomass
1 10 50 45 60
2 7 35 52 48
The 'Biomass' column was received by actually cutting the trees and weighing them. The two other colums 'Model1biomass' and 'Model2biomass' were obtained using the following formulas:
Model1biomass = 34.4703-8.0671*Diameter+0.6589*Diameter*Diameter
Model2biomass = 38.49089-11.7883*Diameter+1.1926*Diameter*Diameter
So these equations use the column 'Diameter' to determine the total biomass.
My problem is comparing these results/models with the correct biomass (the values in column 'Biomass') in terms of RSE, AIC...
How can i do that scince these are not fitted models, and or not linear?
Thank you
Wooferd