valmetrics (version 1.0.0)

mae: mae

Description

Calculates the Mean absolute error (MAE) from observed and predicted values.

Usage

mae(o, p)

Arguments

o

A numeric vector. Observed values.

p

A numeric vector. Predicted values.

Value

Mean absolute error (MAE).

Details

Interpretation: smaller is better. Similar to RMSE but less sensitive to large errors.

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)
mae(o=obs, p=pred)

# }