rmse: Calculate root mean squared error

In amorris28/amorris: Andrew Morris' Misc Functions

Calculate root mean squared error

Description

Calculates root mean squared error from observed and predicted values from a model

Usage

rmse(observed, predicted)

Arguments

observed	vector of observed numeric response values
predicted	vector of numeric values output from predict() or similar

Value

Single numeric value of the root mean squared error

Examples

require(stats)
x <- rnorm(10, 1, 1)
y <- rnorm(10, x * 0.5, 1)
fit <- lm(y ~ x)
pred_y <- predict(fit)
rmse(y, pred_y)

amorris28/amorris documentation built on Nov. 24, 2022, 6:39 a.m.