rmse: Root Mean Square Error

Description Usage Arguments Details References

View source: R/rmse.R

Description

The root-mean-square error (RMSE) is a frequently used measure of the differences between values (sample and population values) predicted by a model or an estimator and the values actually observed.

Usage

1
rmse(observados, estimados)

Arguments

observados

vector of values observed.

estimados

vector of regression model data.

Details

rmse = sqrt(mean((observados - estimados)^2))

References

See https://en.wikipedia.org/wiki/Root-mean-square_deviation for more details.


Fgmutils documentation built on Nov. 18, 2018, 1:04 a.m.