scale_standard: Standardizing tbl

In teramonagi/dpurifyr: A Practical Way for Data Preprocessing using R

Description

Standardize each columns by removing the mean and scaling to unit standard deviation Centering and scaling happen independently on each columns which you selected. Mean and standard deviation are then stored to be used on later data using the transform method.

Usage

scale_standard(.data, ..., center = TRUE, scale = TRUE)

Arguments

.data	A tbl.
...	One or more unquoted expressions separated by commas. You can treat variable names like they are positions. It supports [dplyr::select] comparable.
center	A logical value.
scale	A logical value.

Details

The value of 'center' determines how column centering is performed. If center is TRUE then centering is done by subtracting the column means (omitting NAs) of x from their corresponding columns, and if center is FALSE, no centering is done.

The value of 'scale' determines how column scaling is performed (after centering). If scale is TRUE then scaling is done by dividing the (centered) columns of x by their standard deviations if center is TRUE, and the root mean square otherwise. If scale is FALSE, no scaling is done.

Value

An object of the same class as .data with "preprocessing-chain" attribution.

teramonagi/dpurifyr documentation built on May 29, 2019, 9:52 a.m.