hai_scale_zscore_vec {healthyR.ai} | R Documentation |
Vector Function Scale to Zero and One
Description
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. |
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()
.
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_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()
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)