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