mde {valmetrics}

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.

Details

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

Value

Median error (MdE)

Author(s)

Kristin Piikki, Johanna Wetterlind, Mats Soderstrom and Bo Stenberg, E-mail: [e-mail]

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)
mde(o=obs, p=pred)