Fractional Bias
fb.Rd
Compute fractional bias of observed and predicted data.
Arguments
- obs
A numeric vector, data.frame or data.table.
- pred
A numeric vector, data.frame or data.table.
- use
An optional character string giving a method for computing fractional bias in the presence of missing values. This must be one of the strings "everything" or "complete.obs".
Details
This function compute the fractional bias of observed and predicted data, according to the following definition:
$$ \mathrm{FB} = \frac{\overline{P} - \overline{O}}{0.5 * (\overline{P} + \overline{O})} $$
If use
is "everything", NAs will propagate, i.e. a resulting value will be NA
whenever one of its contributing observation is NA.
If use
is "complete.obs" then missing values are handled by casewise deletion
and if there are no complete cases, that gives an error.