https://github.com/cran/pracma
Tip revision: 39aca747f500f69985711f7ae5e9969f93ecc860 authored by Hans W. Borchers on 21 June 2017, 07:52:27 UTC
version 2.0.7
version 2.0.7
Tip revision: 39aca74
rmserr.Rd
\name{rmserr}
\alias{rmserr}
\title{
Accuracy Measures
}
\description{
Calculates different accuracy measures, most prominently RMSE.
}
\usage{
rmserr(x, y, summary = FALSE)
}
\arguments{
\item{x, y}{two vectors of real numbers}
\item{summary}{logical; should a summary be printed to the screen?}
}
\details{
Calculates six different measures of accuracy for two given vectors or
sequences of real numbers:
\tabular{ll}{
MAE \tab Mean Absolute Error\cr
MSE \tab Mean Squared Error\cr
RMSE \tab Root Mean Squared Error\cr
MAPE \tab Mean Absolute Percentage Error\cr
LMSE \tab Normalized Mean Squared Error\cr
rSTD \tab relative Standard Deviation
}
}
\value{
Returns a list with different accuracy measures.
}
\references{
Gentle, J. E. (2009). Computational Statistics, section 10.3.
Springer Science+Business Media LCC, New York.
}
\note{
Often used in Data Mining for \emph{predicting} the accuracy of predictions.
}
\examples{
x <- rep(1, 10)
y <- rnorm(10, 1, 0.1)
rmserr(x, y, summary = TRUE)
}
\keyword{ stat }