custom_transform

This function allows the user to apply a custom transformation (scaling, normalization, log transform, or custom function) to a specified numeric column.

Provides functions for stratified sampling and assigning custom labels to data, ensuring randomness within groups. The package supports various sampling methods such as stratified, cluster, and systematic sampling. It allows users to apply transformations and customize the sampling process. This package can be useful for statistical analysis and data preparation tasks.

Duan Yuanheng

stratifiedyh

Stratified Sampling and Labeling of Data in R

custom_transform function

<dl><dt>df</dt>
<dd>A data frame containing the data.</dd>
<dt>selected_column</dt>
<dd>A character string specifying the column to be transformed.</dd>
<dt>transformation_type</dt>
<dd>A character string representing the transformation type: "scale", "normalize", "log", or a custom R function.</dd></dl>

Arguments

Apply Custom Transformation to Data Column — custom_transform

<dl>

<dt>df</dt>
<dd>A data frame containing the data.</dd>


<dt>selected_column</dt>
<dd>A character string specifying the column to be transformed.</dd>


<dt>transformation_type</dt>
<dd>A character string representing the transformation type: "scale", "normalize", "log", or a custom R function.</dd>

</dl>

custom_transform: Apply Custom Transformation to Data Column

Description

Usage

Value

Arguments

Examples