valmetrics (version 1.0.0)

mde: mde

Description

Calculates the Median error (MdE) from observed and predicted values.

Usage

mde(o, p)

Arguments

o

A numeric vector. Observed values.

p

A numeric vector. Predicted values.

Value

Median error (MdE)

Details

Interpretation: smaller is better. Similar to mean error (bias) but less sensitive to large errors. Sometimes called bias.

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)
mde(o=obs, p=pred)

# }