Package {normalize}

normalize: Centering and Scaling of Numeric Data

Description

Provides simple methods for centering and scaling of numeric data. Columns or rows can be ignored when normalizing or be normalized jointly.

Author(s)

Maintainer: Lennart Oelschläger oelschlaeger.lennart@gmail.com

Authors:

• Lennart Oelschläger oelschlaeger.lennart@gmail.com

See Also

Useful links:

• https://github.com/loelschlaeger/normalize

• Report bugs at https://github.com/loelschlaeger/normalize/issues

Normalize numeric data

Description

Center and scale vectors, matrices, data frames, or lists of these objects.

Usage

normalize(x, center = TRUE, scale = TRUE, ...)

## Default S3 method:
normalize(x, ...)

## S3 method for class 'numeric'
normalize(x, center = TRUE, scale = TRUE, ...)

## S3 method for class 'matrix'
normalize(
  x,
  center = TRUE,
  scale = TRUE,
  byrow = FALSE,
  ignore = integer(),
  jointly = list(),
  ...
)

## S3 method for class 'data.frame'
normalize(
  x,
  center = TRUE,
  scale = TRUE,
  byrow = FALSE,
  ignore = integer(),
  jointly = list(),
  ...
)

## S3 method for class 'list'
normalize(x, center = TRUE, scale = TRUE, ...)

Arguments

Value

A normalized version of x, preserving attributes where possible. Lists return a list with each element normalized. The centering and scaling values used are stored in the "center" and "scale" attributes where relevant.

Examples

# can normalize vectors, matrices, data.frames, and lists of such types
normalize(
  list(
    c(-3, 0, 3),
    matrix(1:12, nrow = 3, ncol = 4),
    data.frame(a = 1:3, b = 4:6, c = 7:9, d = 10:12)
  )
)

# can ignore columns (or rows)
normalize(
  data.frame(a = 1:3, b = c("A", "B", "C"), c = 7:9, d = 10:12),
  ignore = 2
)

# can normalize columns (or rows) jointly
normalize(
  matrix(1:12, nrow = 3, ncol = 4),
  jointly = list(1:2, 3:4)
)