The {normalize} R package offers convenient
tools to normalize numeric data from common R objects:
works for vector, matrix,
data.frame, and list objects
can normalize by row or by column
can ignore rows or columns when normalizing
allows for joint normalizing of rows or columns
provides the normalizing constants as attributes
preserves object attributes
You can install the released version from CRAN with:
install.packages("normalize")Normalize a vector by centering, scaling, or both:
x <- 1:10
normalize(x)
#> [1] -1.4863011 -1.1560120 -0.8257228 -0.4954337 -0.1651446 0.1651446
#> [7] 0.4954337 0.8257228 1.1560120 1.4863011
#> attr(,"center")
#> [1] 5.5
#> attr(,"scale")
#> [1] 3.02765
normalize(x, center = FALSE)
#> [1] 0.3302891 0.6605783 0.9908674 1.3211565 1.6514456 1.9817348 2.3120239
#> [8] 2.6423130 2.9726022 3.3028913
#> attr(,"scale")
#> [1] 3.02765
normalize(x, scale = FALSE)
#> [1] -4.5 -3.5 -2.5 -1.5 -0.5 0.5 1.5 2.5 3.5 4.5
#> attr(,"center")
#> [1] 5.5Normalize a matrix column-wise, optionally with joint
centering:
normalize(
matrix(1:12, nrow = 3, ncol = 4),
jointly = list(1:2, 3:4) # joint normalization of columns 1, 2 and 3, 4
)
#> [,1] [,2] [,3] [,4]
#> [1,] -2.5 0.5 -2.5 0.5
#> [2,] -1.5 1.5 -1.5 1.5
#> [3,] -0.5 2.5 -0.5 2.5
#> attr(,"center")
#> [1] 3.5 3.5 9.5 9.5
#> attr(,"scale")
#> [1] 1 1 1 1Normalize a data.frame while keeping non-numeric columns
unchanged:
normalize(
data.frame(a = 1:3, b = c("A", "B", "C"), c = 7:9, d = 10:12),
ignore = 2 # ignore character column 2 for normalization
)
#> a b c d
#> 1 -1 A -1 -1
#> 2 0 B 0 0
#> 3 1 C 1 1Can work on a list:
normalize(list(1:5, diag(3), data.frame(1:3, 2:4)))
#> [[1]]
#> [1] -1.2649111 -0.6324555 0.0000000 0.6324555 1.2649111
#> attr(,"center")
#> [1] 3
#> attr(,"scale")
#> [1] 1.581139
#>
#> [[2]]
#> [,1] [,2] [,3]
#> [1,] 1.1547005 -0.5773503 -0.5773503
#> [2,] -0.5773503 1.1547005 -0.5773503
#> [3,] -0.5773503 -0.5773503 1.1547005
#> attr(,"center")
#> [1] 0.3333333 0.3333333 0.3333333
#> attr(,"scale")
#> [1] 0.5773503 0.5773503 0.5773503
#>
#> [[3]]
#> X1.3 X2.4
#> 1 -1 -1
#> 2 0 0
#> 3 1 1