Root Mean Square Error — rmse • AirVeg

Compute the Root Mean Square Error of observed and predicted data.

Usage

rmse(obs, pred, use = "everything")

obs: A numeric vector, data.frame or data.table with observed data.
pred: A numeric vector, data.frame or data.table with predicted (model) data.
use: An optional character string giving a method for computing RMSE in the presence of missing values. This must be one of the strings "everything" or "complete.obs".

The RMSE of input data as a numeric.

The function computes the Root Mean Square error according to the following formula:

$\mathrm{RMSE} = \sqrt{\overline{(O - P)^2}}$

if (FALSE) {

validationData[, .(rmse = rmse(obs, mod, use = "complete.obs"))]
}