valmetrics (version 1.0.0)

allmetrics: 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.

Value

A data.frame with all validation metrics for which functions are defined in this package.

Details

See respective functions.

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

Run this code
# NOT RUN {
obs<-c(1:10)
pred<-c(1, 1 ,3, 2, 4, 5, 6, 8, 7, 10)
allmetrics(o=obs, p=pred, k=2)
# }

Run the code above in your browser using DataCamp Workspace