stats: Error Statistics

In tdr: Target Diagram

Description

Error Statistics

Usage

tdStats(m, o,
         functions = c("mo", "mm",
                       "sdo", "sdm",
                       "mbe", "mae", "rmse",
                       "nmbe", "cvmbe",
                       "nmae", "cvmae",
                       "nrmse", "cvrmse",
                       "r2", "tStone"))

applyStats(models, o,
           functions = c("mo", "mm",
                         "sdo", "sdm",
                         "mbe", "mae", "rmse",
                         "nmbe", "cvmbe",
                         "nmae", "cvmae",
                         "nrmse", "cvrmse",
                         "r2", "tStone"))

Arguments

m	Numeric, vector, model values
models	Numeric, matrix, model values
o	Numeric, vector, observation values
functions	Character, name of functions to compute model errors. The package includes definitions for these functions: Mean: mo, mm Standard Deviation: sdo, sdm Mean Bias Error: mbe Mean Absolute Error: mae Root Mean Square Error: rmse t of Stone: tStone Coefficient of determination, R^2: r2 There are also functions that normalize the MBE, MAE and RMSE values. nmbe, nmae, and nrmse use the observation range as factor of normalization, while cvmbe, cvmae, and cvrmse, use the observation average to normalize.

Value

A data.frame with a column for each function, and a row for each model.

Author(s)

Oscar Perpiñán Lamigueiro

See Also

targetDiagram, target_diagram

Examples

data(modelEx)

## Analyze one model
tdStats(pvModels$M01, pvObs)

## Analyze a set of models
applyStats(pvModels, pvObs)

tdr documentation built on May 2, 2019, 8:34 a.m.