summarizeModel.loadComp | R Documentation |
Produce a 1-row data.frame of model metrics. The relevant metrics for loadComp models include two sets of statistics about autocorrelation (one for the regression residuals, one for the 'residuals' used to do the composite correction).
## S3 method for class 'loadComp'
summarizeModel(load.model, newdata,
irregular.timesteps.ok = NA, ...)
load.model |
A load model object, typically inheriting from loadModel and always implementing the loadModelInterface. |
newdata |
data.frame of data that was/will be used to predict
concentration or load; should be the same as the |
irregular.timesteps.ok |
logical. If FALSE, this function requires that the timesteps between observations are identical to one another, and a plot is generated and an error is thrown if this requirement is not met. If TRUE, the check is not performed. If NA (the default), the check is performed but the function proceeds with a warning and no plot if the timesteps are found to be irregular. Tests and estimates of autocorrelation are weak to wrong when timesteps are irregular, but timesteps are often at least a bit irregular in the real world. |
... |
Other arguments passed to model-specific methods |
Returns a 1-row data frame with the following columns:
site.id
- the unique identifier of the site, as in metadata()
constituent
- the unique identifier of the constituent, as in
metadata()
RMSE.lin
or RMSE.log
- the square root of the mean squared error, in
log space (RMSE.log
) if the use.log
equalled TRUE
in the call to
loadComp()
that created this model.
reg.durbin.watson
- the Durbin Watson test statistic as applied to the
residuals from the regression model fitting process
reg.rho
- the autocorrelation coefficient of the residuals from the
regression model fitting process
int.durbin.watson
- the Durbin Watson test statistic as applied to the
residuals from the interpolation model fitting process. See
residDurbinWatson()
int.rho
- the autocorrelation coefficient of the residuals from the
interpolation model fitting process. See estimateRho()
correction.frac
- the correction fraction, i.e., the fraction of total
concentration or flux prediction that is attributable to a correction such
as the residuals correction of composite method models. See
getCorrectionFraction()
Other summarizeModel: summarizeModel.loadInterp
,
summarizeModel.loadLm
,
summarizeModel.loadModel
,
summarizeModel.loadReg2
,
summarizeModel
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.