cluster_labels

This function performs cluster sampling on the dataframe and assigns "Yes" or "No" labels to rows based on selected clusters.

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

cluster_labels function

<dl><dt>df</dt>
<dd>A data frame containing the data.</dd>
<dt>group_col</dt>
<dd>A character string specifying the column to use for clustering.</dd>
<dt>yes_percentage</dt>
<dd>A numeric value between 0 and 100 indicating the percentage of clusters to label as "Yes".</dd></dl>

Arguments

Cluster Sampling and Labeling — cluster_labels

<dl>

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


<dt>group_col</dt>
<dd>A character string specifying the column to use for clustering.</dd>


<dt>yes_percentage</dt>
<dd>A numeric value between 0 and 100 indicating the percentage of clusters to label as "Yes".</dd>

</dl>

cluster_labels: Cluster Sampling and Labeling

Description

Usage

Value

Arguments

Examples