randrows

The <code>randrows()</code> function randomly samples a specified number of rows from a dataframe.

Tailored explicitly for Experience Sampling Method (ESM)
data, it contains a suite of functions designed to simplify
preprocessing steps and create subsequent reporting. It empowers
users with capabilities to extract critical insights during
preprocessing, conducts thorough data quality assessments (e.g., design
and sampling scheme checks, compliance rate, careless responses), and
generates visualizations and concise summary tables tailored
specifically for ESM data. Additionally, it streamlines the creation
of informative and interactive preprocessing reports, enabling
researchers to transparently share their dataset preprocessing
methodologies. Finally, it is part of a larger ecosystem which
includes a framework and a web gallery
(<https://preprocess.esmtools.com/>).

Jordan Revol

esmtools

Preprocessing Experience Sampling Method (ESM) Data

Koen Niemeijer

randrows function

<dl><dt>.data</dt>
<dd>The dataframe from which rows are to be sampled.</dd>
<dt>n</dt>
<dd>The number of rows to be randomly sampled. Default is 5.</dd></dl>

Arguments

Randomly Sample Rows from a Dataframe — randrows

<dl>

<dt>.data</dt>
<dd>The dataframe from which rows are to be sampled.</dd>


<dt>n</dt>
<dd>The number of rows to be randomly sampled. Default is 5.</dd>

</dl>

randrows: Randomly Sample Rows from a Dataframe

Description

Usage

Value

Arguments

Examples