hai_scale_zero_one_vec: Vector Function Scale to Zero and One

In healthyR.ai: The Machine Learning and AI Modeling Companion to 'healthyR'

Vector Function Scale to Zero and One

Description

Takes a numeric vector and will return a vector that has been scaled from ⁠[0,1]⁠

Usage

hai_scale_zero_one_vec(.x)

Arguments

.x	A numeric vector to be scaled from ⁠[0,1]⁠ inclusive.

Details

Takes a numeric vector and will return a vector that has been scaled from ⁠[0,1]⁠ The input vector must be numeric. The computation is fairly straightforward. This may be helpful when trying to compare the distributions of data where a distribution like beta from the fitdistrplus package which requires data to be between 0 and 1

y[h] = (x - min(x))/(max(x) - min(x))

This function can be used on it's own. It is also the basis for the function hai_scale_zero_one_augment().

Value

A numeric vector

Author(s)

Steven P. Sanderson II, MPH

See Also

Other Vector Function: hai_fourier_discrete_vec(), hai_fourier_vec(), hai_hyperbolic_vec(), hai_kurtosis_vec(), hai_scale_zscore_vec(), hai_skewness_vec(), hai_winsorized_move_vec(), hai_winsorized_truncate_vec()

Other Scale: hai_scale_zero_one_augment(), hai_scale_zscore_augment(), hai_scale_zscore_vec(), step_hai_scale_zscore()

Examples

vec_1 <- rnorm(100, 2, 1)
vec_2 <- hai_scale_zero_one_vec(vec_1)

dens_1 <- density(vec_1)
dens_2 <- density(vec_2)
max_x <- max(dens_1$x, dens_2$x)
max_y <- max(dens_1$y, dens_2$y)
plot(dens_1,
  asp = max_y / max_x, main = "Density vec_1 (Red) and vec_2 (Blue)",
  col = "red", xlab = "", ylab = "Density of Vec 1 and Vec 2"
)
lines(dens_2, col = "blue")

healthyR.ai documentation built on April 3, 2023, 5:24 p.m.