pracma (version 1.4.5)

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:

ll{ MAE Mean Absolute Error MSE Mean Squared Error RMSE Root Mean Squared Error MAPE Mean Absolute Percentage Error LMSE Normalized Mean Squared Error rSTD relative Standard Deviation }

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)