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The coefficient of determination, often called R squared, is the proportion of data variance explained by the predictions.

Usage

R_squared(y, y_hat, na.rm = FALSE)

Arguments

y

Vector of observations or ground-truths.

y_hat

Vector of predictions.

na.rm

A logical value indicating whether NA values should be stripped before the computation proceeds.

Value

The R squared of the predictions y_hat for y.

Examples

R_squared(c(2.3, 4.2, 1.8), c(2.2, 4.6, 1.7))
#> [1] 0.9438669