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]  0.6516738  0.1255551         NA -0.2672207 -0.3861141
normalization(x, method = "max_min")
#> [1] 1.0000000 0.4930383 0.3720549 0.1145643 0.0000000
normalization(x, method = "maximum")
#> [1]  1.0000000  0.1926656  0.0000000 -0.4100528 -0.5924960
normalization(x, method = "sum")
#> [1]  0.45553637  0.08776617  0.00000000 -0.18679398 -0.26990347
normalization(x, method = "softmax")
#> [1] 0.60426769 0.16512479 0.12115913 0.06268898 0.04675941
normalization(x, method = "z_score")
#> [1]  1.5458123  0.2484965 -0.0611002 -0.7200192 -1.0131894
normalization(x, method = "mad")
#> [1]  1.6448875  0.3169132  0.0000000 -0.6744908 -0.9745892
normalization(x, method = "unit_vector")
#> [1]  0.8015881  0.1544384  0.0000000 -0.3286935 -0.4749377
normalization(x, method = "unit_vector", na_rm = FALSE)
#> [1]  0.8015881  0.1544384         NA -0.3286935 -0.4749377