| adjr2 {valmetrics} | R Documentation |
adjr2
Description
Calculates the Adjusted R2 (adjr2) from observed values, predicted values and the number of model parameters.
Usage
adjr2(o, p, k)
Arguments
o |
A numeric vector. Observed values. |
p |
A numeric vector. Predicted values. |
k |
A number. The number of parameters in the model. Note that k includes the intercept, so for example, k is 2 for a linear regression model. |
Details
Interpretation: larger is better. Adjusted R2 (adjr2) punishes complexity of models; a larger number of parameters (k) means a smaller adjr2 value.
Value
Adjusted R2 (adjr2)
Author(s)
Kristin Piikki, Johanna Wetterlind, Mats Soderstrom and Bo Stenberg, E-mail: kristin.piikki@slu.se
References
Piikki K., Wetterlind J., Soderstrom M., Stenberg B. (2021). Perspectives on validation in digital soil mapping of continuous attributes. A review. Soil Use and Management. doi: 10.1111/sum.12694
Examples
obs<-c(1:10)
pred<-c(1, 1 ,3, 2, 4, 5, 6, 8, 7, 10)
adjr2(o=obs, p=pred, k=2)