normalize: Normalize/standardize the columns of a matrix
In SVMMaj: Implementation of the SVM-Maj Algorithm

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

View source: R/normalize.R

Standardize the columns of an attribute matrix X to zscores, to the range [0 1] or a prespecified scale.

1	normalize(x, standardize = "zscore")

`x`	An attribute variable which will be scaled.
`standardize`	Either a string value denoting a predefined scaling, or a list with values `a` and `b` corresponding with the numeric centering and scaling, that is, using the function `x * standardize$b - standardize$a`.

The standardized matrix. The numeric centering and scalings used are returned as attribute "standardize".

Hok San Yip, Patrick J.F. Groenen, Georgi Nalbantov

P.J.F. Groenen, G. Nalbantov and J.C. Bioch (2008) SVM-Maj: a majorization approach to linear support vector machines with different hinge errors.

svmmaj

## standardize the first 50 objects to zscores
x  <- iris$Sepal.Length
x1 <- normalize(x[1:50], standardize = 'zscore')
## use the same settings to apply to the next 100 observations
x2 <- normalize(x[-(1:50)], standardize = attr(x1, 'standardization'))