adjr2
From valmetrics v1.0.0
by Kristin Piikki
adjr2
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)
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. 10.1111/sum.12694
Examples
# NOT RUN {
obs<-c(1:10)
pred<-c(1, 1 ,3, 2, 4, 5, 6, 8, 7, 10)
adjr2(o=obs, p=pred, k=2)
# }
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