Compute all regression metrics for one obs/pred pair.
Arguments
- obs
Numeric vector of observed values.
- pred
Numeric vector of predicted values (same length as obs).
Value
A one-row tibble with columns: n, ccc, r2, mae, nse, rmse, rpd,
mqi, bias (signed, native units) and bias_pct (relative to mean(obs)).
Examples
obs <- c(12, 25, 31, 48, 60)
pred <- c(15, 22, 35, 40, 66)
calc_metrics(obs, pred)
#> # A tibble: 1 × 10
#> n ccc r2 mae nse rmse rpd mqi bias bias_pct
#> <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 5 0.955 0.914 4.8 0.907 5.18 3.66 6.35 0.4 1.14