pipe_pop_step

pipe_pop_steps_after

pipe_pop_steps_from

Use this function to drop steps from the end of the pipeline.

A lightweight yet powerful framework for building robust data
analysis pipelines. With 'pipeflow', you initialize a pipeline with your
dataset and construct workflows step by step by adding R functions.
You can modify, remove, or insert steps and parameters at any stage,
while 'pipeflow' ensures the pipeline's integrity.
Overall, this package offers a beginner-friendly framework that simplifies
and streamlines the development of data analysis pipelines by making
them modular, intuitive, and adaptable.

Roman Pahl

pipeflow

Lightweight, General-Purpose Data Analysis Pipelines

pipe_pop_step function

<dl><dt>pip</dt>
<dd><code>Pipeline</code> object</dd>
<dt>step</dt>
<dd><code>string</code> name of step</dd></dl>

Arguments

<ul>
<li><code>pipe_pop_step</code>: drop last step from the pipeline</li>
<li><code>pipe_pop_steps_after</code>: drop all steps after given steps</li>
<li><code>pipe_pop_steps_from</code>: drop all steps from and including given steps</li>
</ul>

Methods

Pop steps from the pipeline — pipe_pop_step

<dl>

<dt>pip</dt>
<dd><code>Pipeline</code> object</dd>


<dt>step</dt>
<dd><code>string</code> name of step</dd>

</dl>

<ul>
<li><code>pipe_pop_step</code>: drop last step from the pipeline</li>
<li><code>pipe_pop_steps_after</code>: drop all steps after given steps</li>
<li><code>pipe_pop_steps_from</code>: drop all steps from and including given steps</li>
</ul>

State of Data and AI Literacy Report 2025

pipe_pop_step: Pop steps from the pipeline

Description

Usage

Value

Arguments

Methods

Examples