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pracma (version 1.9.3)

rmserr: Accuracy Measures

Description

Calculates different accuracy measures, most prominently RMSE.

Usage

rmserr(x, y, summary = FALSE)

Arguments

x, y
two vectors of real numbers
summary
logical; should a summary be printed to the screen?

Value

Returns a list with different accuracy measures.

Details

Calculates six different measures of accuracy for two given vectors or sequences of real numbers:

MAE
Mean Absolute Error
MSE
Mean Squared Error
RMSE
Root Mean Squared Error
MAPE
Mean Absolute Percentage Error
LMSE
Normalized Mean Squared Error

References

Gentle, J. E. (2009). Computational Statistics, section 10.3. Springer Science+Business Media LCC, New York.

Examples

Run this code
x <- rep(1, 10)
y <- rnorm(10, 1, 0.1)
rmserr(x, y, summary = TRUE)

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