Easily compute the mean squared error for continuous predictions

mse(prediction, outcome)

Arguments

prediction

A numeric vector of predictions.

outcome

A numeric vector of outcomes actually observed.

Examples

x <- rnorm(100) y <- x^2 test_x <- rnorm(100) test_y <- test_x^2 mod <- glm(y ~ x) pred <- predict(mod, newx = as.data.frame(test_x)) error <- mse(prediction = pred, outcome = test_y) #