data_test1

A eight-variable dataset with 100 cases.

datasets

A collection of helper functions for multiple
regression models fitted by lm(). Most of them are simple
functions for simple tasks which can be done with coding,
but may not be easy for occasional users of R. Most of
the tasks addressed are those sometimes needed when
using the 'manymome' package (Cheung and Cheung, 2023,
<doi:10.3758/s13428-023-02224-z>) and 'stdmod' package
(Cheung, Cheung, Lau, Hui, and Vong, 2022,
<doi:10.1037/hea0001188>). However, they can also be used
in other scenarios.

Shu Fai Cheung

lmhelprs

Helper Functions for Linear Model Analysis

data_test1 function

A data frame with 100 rows
and 8 variables:<dl>
<dt>x1</dt>
<dd>Predictor. Numeric.</dd><dt>x2</dt>
<dd>Predictor. Numeric.</dd><dt>x3</dt>
<dd>Predictor. Numeric.</dd><dt>x4</dt>
<dd>Predictor. Numeric.</dd><dt>x5</dt>
<dd>Predictor. Numeric.</dd><dt>y</dt>
<dd>Outcome. Numeric.</dd><dt>cat1</dt>
<dd>Predictor. String. Values: "Alpha", "Beta", "Gamma"</dd><dt>cat2</dt>
<dd>Predictor. String. Values: "North", "South", "East", "West"</dd>
</dl>

Format

Sample Data: For Testing — data_test1

A data frame with 100 rows
and 8 variables:<dl>
<dt>x1</dt>
<dd>Predictor. Numeric.</dd>

<dt>x2</dt>
<dd>Predictor. Numeric.</dd>

<dt>x3</dt>
<dd>Predictor. Numeric.</dd>

<dt>x4</dt>
<dd>Predictor. Numeric.</dd>

<dt>x5</dt>
<dd>Predictor. Numeric.</dd>

<dt>y</dt>
<dd>Outcome. Numeric.</dd>

<dt>cat1</dt>
<dd>Predictor. String. Values: "Alpha", "Beta", "Gamma"</dd>

<dt>cat2</dt>
<dd>Predictor. String. Values: "North", "South", "East", "West"</dd>


</dl>

data_test1: Sample Data: For Testing

Description

Usage

Arguments

Format

Examples