nrmse: Normalized Root Mean Squared Error

Description Usage Arguments Value Note Author(s) References See Also

View source: R/nrmse.R

Description

'nrmse' computes the normalized root mean squared error for a given complete data matrix, imputed data matrix and the data matrix containing missing values.

Usage

1
nrmse(ximp, xmis, xtrue)

Arguments

ximp

imputed data matrix with variables in the columns and observations in the rows. Note there should not be any missing values.

xmis

data matrix with missing values.

xtrue

complete data matrix. Note there should not be any missing values.

Value

see Title.

Note

The NRMSE can only be computed for continuous data. For categorical or mixed-type data see mixError.

This function is internally used by mixError.

Author(s)

Daniel J. Stekhoven, <[email protected]>

References

Oba et al. (2003), 'A Bayesian missing value estimation method for gene expression profile data', Bioinformatics, 19(16), 2088-2096

See Also

mixError


missForest documentation built on May 1, 2019, 8 p.m.