Normalize numeric vector

Usage

normalization(x, method = "max_min", na_rm = TRUE, ...)

Arguments

x: Input numeric vector.
method: Method used for normalization.
na_rm: Whether to remove NA values, and if setting TRUE, using 0 instead. Default is TRUE.
...: Parameters for other methods.

Value

Normalized numeric vector.

Examples

x <- c(runif(2), NA, -runif(2))
x
#> [1]  0.6870228  0.3841037         NA -0.7698414 -0.4976992
normalization(x, method = "max_min")
#> [1] 1.0000000 0.7920746 0.0000000 0.0000000 0.1868000
normalization(x, method = "maximum")
#> [1]  0.8924213  0.4989388  0.0000000 -1.0000000 -0.6464958
normalization(x, method = "sum")
#> [1]  0.2937668  0.1642404  0.0000000 -0.3291795 -0.2128132
normalization(x, method = "softmax")
#> [1] 0.51234320 0.33139689 0.00000000 0.06303170 0.09322821
normalization(x, method = "z_score")
#> [1]  1.0587448  0.6230668  0.0000000 -1.0366121 -0.6451995
normalization(x, method = "mad")
#> [1]  0.8695390  0.5154213  0.0000000 -0.8335602 -0.5154213
normalization(x, method = "unit_vector")
#> [1]  0.5686043  0.3178978  0.0000000 -0.6371479 -0.4119134
normalization(x, method = "unit_vector", na_rm = FALSE)
#> [1]  0.5686043  0.3178978         NA -0.6371479 -0.4119134