Vector Function Scale to Zero and One

Takes a numeric vector and will return a vector that has been scaled from by mean and standard deviation

Usage

hai_scale_zscore_vec(.x)

Arguments

.x

A numeric vector to be scaled by mean and standard deviation inclusive.

Value

A numeric vector

Details

Takes a numeric vector and will return a vector that has been scaled from mean and standard deviation.

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

$$y[h] = (x - mean(x) / sd(x))$$

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

See also

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

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

Author

Steven P. Sanderson II, MPH

Examples

vec_1 <- mtcars$mpg
vec_2 <- hai_scale_zscore_vec(vec_1)

ax <- pretty(min(vec_1, vec_2):max(vec_1, vec_2), n = 12)

hist(vec_1, breaks = ax, col = "blue")
hist(vec_2, breaks = ax, col = "red", add = TRUE)