Calculate the mean error

Calculate the mean error of a numeric vector.

Usage

me_vec(truth, estimate, na_rm = TRUE)

Arguments

truth

Numeric vector containing the actual values.

estimate

Numeric vector containing the forecasts.

na_rm

Logical value. If TRUE, missing values are removed.

Value

A numeric value.

Details

me_vec() computes the average signed forecast error truth - estimate. Positive values indicate that forecasts are, on average, below the observed values. Negative values indicate that forecasts are, on average, above the observed values.

The metric is reported in the same units as the original data.

See also

Other accuracy functions: mae_vec(), make_accuracy(), make_errors(), mape_vec(), mpe_vec(), mse_vec(), rmse_vec(), smape_vec()

Examples

truth <- c(10, 20, 30)
estimate <- c(8, 22, 25)

me_vec(truth, estimate)
#> [1] 1.666667

truth_na <- c(10, 20, NA)
estimate_na <- c(8, 22, 25)
me_vec(truth_na, estimate_na)
#> [1] 0