allmetrics {valmetrics} | R Documentation |
allmetrics
Description
Calculates 31 different validation metrics from observed values and predicted values. For the calculation of some metrics also the number of model parameters are used.
Usage
allmetrics(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
See respective functions.
Value
A data.frame with all validation metrics for which functions are defined in this package.
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)
allmetrics(o=obs, p=pred, k=2)