ppe {MASSTIMATE} | R Documentation |
Percent Prediction Error
Description
This function calculates the percent prediction error of a sample based on the predicted and true values
Usage
ppe(true, pred, abs = TRUE)
Arguments
true |
a numeric vector representing the true value on which a prediction ( |
pred |
a numeric vector with the predicted values, must be equal length to |
abs |
a logical value indicating whether to return the absolute values for ppe, default is |
Details
This function calculates the percent prediction error (ppe) as a scaled residual (Smith 1980), generally based on the absolute residual, so:
ppe=\frac{\left ( \left | true-pred \right | \right )}{pred}\times 100
Value
Function returns a list of results, including the a list of all the precent prediction errors, along with the mean, 95 percent confidence intervals, range, and standard deviation.
Author(s)
Nicolas E. Campione
References
Smith, R. J. (1980) Rethinking allometry. Journal of Theoretical Biology, 87, 97-111.