ppe: Percent Prediction Error
In MASSTIMATE: Body Mass Estimation Equations for Vertebrates

Description Usage Arguments Details Value Author(s) References See Also

This function calculates the percent prediction error of a sample based on the predicted and true values

1	ppe(true, pred, abs = TRUE)

`true`	a numeric vector representing the true value on which a prediction (`pred`) will be compared
`pred`	a numeric vector with the predicted values, must be equal length to `true`
`abs`	a logical value indicating whether to return the absolute values for ppe, default is `abs = TRUE`

This function calculates the percent prediction error (ppe) as a scaled residual (Smith 1980), generally based on the absolute residual, so:

ppe=(( | true-pred | ) / pred) x 100

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.

Nicolas E. Campione

Smith, R. J. (1980) Rethinking allometry. Journal of Theoretical Biology, 87, 97-111.

see

MASSTIMATE documentation built on Jan. 8, 2021, 2:22 a.m.