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

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