effectsize (version 0.2.0)

normalize: Normalization

Description

Performs a normalization of data, i.e., it scales all numeric variables in the range 0 - 1. This is a special case of change_scale.

Usage

normalize(x, ...)
# S3 method for numeric
normalize(x, include_bounds = TRUE, verbose = TRUE, ...)
# S3 method for grouped_df
normalize(x, select = NULL, exclude = NULL, include_bounds = TRUE, ...)
# S3 method for data.frame
normalize(x, select = NULL, exclude = NULL, include_bounds = TRUE, ...)

Arguments

x

Object.

...

Arguments passed to or from other methods.

include_bounds

Logical, if TRUE, return value may include 0 and 1. If FALSE, the return value is compressed, using the formula (x * (n - 1) + 0.5) / n (Smithson and Verkuilen 2006), to avoid zeros and ones in the normalized variables. This can be useful in case of beta-regression, where the response variable is not allowed to include zeros and ones.

verbose

Toggle warnings on or off.

select

Character vector of column names. If NULL (the default), all variables will be selected.

exclude

Character vector of column names to be excluded from selection.

Value

A normalized object.

References

Smithson M, Verkuilen J (2006). A Better Lemon Squeezer? Maximum-Likelihood Regression with Beta-Distributed Dependent Variables. Psychological Methods, 11(1), 54<U+2013>71.

See Also

ranktransform standardize change_scale

Examples

# NOT RUN {
normalize(c(0, 1, 5, -5, -2))
normalize(c(0, 1, 5, -5, -2), include_bounds = FALSE)

head(normalize(iris))
# }