Performs a normalization of data. This scales all numeric variables in the range 0 - 1.
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, ...)
Object.
Arguments passed to or from other methods.
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.
Toggle warnings on or off.
For a data frame, character vector of column names to be
standardized. If NULL (the default), all variables will be
standardized.
For a data frame, character vector of column names to be excluded from standardization.
A normalized object.
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.