Compute performance metrics for predictions
Computes the rho, MAE, RMSE, perc, and p-val performance metrics
observed |
a vector of the observed values |
predicted |
a vector of corresponding predicted values |
A data.frame with components with various performance metrics:
| num_pred | number of predictions |
| rho | correlation coefficient between observations and predictions |
| mae | mean absolute error |
| rmse | root mean square error |
| perc | percent correct sign |
| p_val | p-value that rho is significantly greater than 0 using Fisher's |
compute_stats(rnorm(100), rnorm(100))
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