Root mean square error

Computes the root mean square error between the input vectors.

mean_error_sqr_root(actual, predicted, na.rm = FALSE)

Arguments

actual	A numeric vector with the actual values.
predicted	A numeric vector with the predicted values. Each element in this vector must be a prediction for the corresponding element in actual.
na.rm	A logical value indicating whether NA values should be stripped before the computation proceeds. Defaults to FALSE.

Value

Returns a double scalar with the root mean square error value.

See also

mean_error(), mean_error_abs(), mean_error_pct(), mean_error_abs_pct(), mean_error_sqr()

Examples

actual <- runif(10)
predicted <- runif(10)

mean_error_sqr_root(actual, predicted)
#> [1] 0.4097314