spTimer (version 3.3.2)

spT.validation: Validation Commands

Description

The following function is used to validate the predicted observations with the actual values.

Usage

spT.validation(z, zhat, names=FALSE)

Value

MSE

Mean Squared Error.

RMSE

Root Mean Squared Error.

MAE

Mean Absolute Error.

MAPE

Mean Absolute Percentage Error.

BIAS

Bias.

rBIAS

Relative Bias.

rMSEP

Relative Mean Separation.

Arguments

z

The original values (matrix or vector).

zhat

The predicted values (matrix or vector).

names

Logical, if TRUE then print the names of the validation statistics.

See Also

spT.pCOVER,spT.validation2.

Examples

Run this code

##

# Create `x', which is the true values.
# Create `y', which is the predicted values.

x <- rnorm(10,5,0.1)
y <- rnorm(10,5,1)
spT.validation(x, y)

##

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