Yeo and Johnson(2000) Transformations

pow_yj(x, lambda = NULL, ...)

Arguments

x	`[univariate vector]` Univariate vector, numeric or ts object with only one dimension.
lambda	`[numeric(1): NULL]` Transformation exponent, \(\lambda\).
...	Further arguments passed to `pow`.

[univariate vector]

Univariate vector, numeric or ts object with only one dimension.

lambda

[numeric(1): NULL]

Transformation exponent, \(\lambda\).

...

Further arguments passed to pow.

Value

Returns a vector with the same class and attributes as the input vector.

References

Yeo, I., & Johnson, R. (2000). A New Family of Power Transformations to Improve Normality or Symmetry. Biometrika, 87(4), 954-959. http://www.jstor.org/stable/2673623

Examples

set.seed(123)
x <- runif(10)
pow_yj(x, 3)
#>  [1]  0.40366149  3.72378015  0.69198131  7.54828012 15.79748670  0.04773095
#>  [7]  1.11911767  8.29532550  1.22933138  0.84031490