no_transform: Identity transformation and center/scale transform

In bestNormalize: Normalizing Transformation Functions

Identity transformation and center/scale transform

Description

Perform an identity transformation. Admittedly it seems odd to have a dedicated function to essentially do I(x), but it makes sense to keep the same syntax as the other transformations so it plays nicely with them. As a benefit, the bestNormalize function will also show a comparable normalization statistic for the untransformed data. If standardize == TRUE, center_scale passes to bestNormalize instead.

Usage

no_transform(x, warn = TRUE, ...)

## S3 method for class 'no_transform'
predict(object, newdata = NULL, inverse = FALSE, ...)

## S3 method for class 'no_transform'
print(x, ...)

center_scale(x, warn = TRUE, ...)

## S3 method for class 'center_scale'
predict(object, newdata = NULL, inverse = FALSE, ...)

## S3 method for class 'center_scale'
print(x, ...)

## S3 method for class 'no_transform'
tidy(x, ...)

Arguments

x	A 'no_transform' object.
warn	Should a warning result from infinite values?
...	not used
object	an object of class 'no_transform'
newdata	a vector of data to be (potentially reverse) transformed
inverse	if TRUE, performs reverse transformation

Details

no_transform creates a identity transformation object that can be applied to new data via the predict function.

Value

A list of class no_transform with elements

x.t	transformed original data
x	original data
n	number of nonmissing observations
norm_stat	Pearson's P / degrees of freedom

The predict function returns the numeric value of the transformation performed on new data, and allows for the inverse transformation as well.

Examples

x <- rgamma(100, 1, 1)

no_transform_obj <- no_transform(x)
no_transform_obj
p <- predict(no_transform_obj)
x2 <- predict(no_transform_obj, newdata = p, inverse = TRUE)

all.equal(x2, x)

bestNormalize documentation built on Aug. 18, 2023, 9:08 a.m.