simParcel

A simulated data set with 2 factors with 9 indicators for each factor

datasets

Provides miscellaneous tools for structural equation modeling,
many of which extend the 'lavaan' package. For example, latent
interactions can be estimated using product indicators (Lin et al.,
2010, <doi:10.1080/10705511.2010.488999>) and simple effects probed;
analytical power analyses can be conducted (Jak et al., 2021,
<doi:10.3758/s13428-020-01479-0>); and scale reliability
can be estimated based on estimated factor-model parameters.

Terry Jorgensen

semTools

Useful Tools for Structural Equation Modeling

Sunthud Pornprasertmanit

Yves Rosseel

Patrick Miller

Corbin Quick

Mauricio Garnier-Villarreal

James Selig

Aaron Boulton

Kristopher Preacher

Donna Coffman

Mijke Rhemtulla

Alexander Robitzsch

Craig Enders

Ruben Arslan

Bell Clinton

Pavel Panko

Edgar Merkle

Steven Chesnut

Jarrett Byrnes

Ylenio Longo

Maxwell Mansolf

Mattan S. Ben-Shachar

Mikko Rönkkö

Andrew R. Johnson

Leonard Vanbrabant

simParcel function

A <code>data.frame</code> with 800 observations of 18 variables.<dl>
<dt>f1item1</dt>
<dd>Item 1 loading on factor 1</dd><dt>f1item2</dt>
<dd>Item 2 loading on factor 1</dd><dt>f1item3</dt>
<dd>Item 3 loading on factor 1</dd><dt>f1item4</dt>
<dd>Item 4 loading on factor 1</dd><dt>f1item5</dt>
<dd>Item 5 loading on factor 1</dd><dt>f1item6</dt>
<dd>Item 6 loading on factor 1</dd><dt>f1item7</dt>
<dd>Item 7 loading on factor 1</dd><dt>f1item8</dt>
<dd>Item 8 loading on factor 1</dd><dt>f1item9</dt>
<dd>Item 9 loading on factor 1</dd><dt>f2item1</dt>
<dd>Item 1 loading on factor 2</dd><dt>f2item2</dt>
<dd>Item 2 loading on factor 2</dd><dt>f2item3</dt>
<dd>Item 3 loading on factor 2</dd><dt>f2item4</dt>
<dd>Item 4 loading on factor 2</dd><dt>f2item5</dt>
<dd>Item 5 loading on factor 2</dd><dt>f2item6</dt>
<dd>Item 6 loading on factor 2</dd><dt>f2item7</dt>
<dd>Item 7 loading on factor 2</dd><dt>f2item8</dt>
<dd>Item 8 loading on factor 2</dd><dt>f2item9</dt>
<dd>Item 9 loading on factor 2</dd>
</dl>

Format

Simulated Data set to Demonstrate Random Allocations of Parcels — simParcel

A <code>data.frame</code> with 800 observations of 18 variables.<dl>
<dt>f1item1</dt>
<dd>Item 1 loading on factor 1</dd>

<dt>f1item2</dt>
<dd>Item 2 loading on factor 1</dd>

<dt>f1item3</dt>
<dd>Item 3 loading on factor 1</dd>

<dt>f1item4</dt>
<dd>Item 4 loading on factor 1</dd>

<dt>f1item5</dt>
<dd>Item 5 loading on factor 1</dd>

<dt>f1item6</dt>
<dd>Item 6 loading on factor 1</dd>

<dt>f1item7</dt>
<dd>Item 7 loading on factor 1</dd>

<dt>f1item8</dt>
<dd>Item 8 loading on factor 1</dd>

<dt>f1item9</dt>
<dd>Item 9 loading on factor 1</dd>

<dt>f2item1</dt>
<dd>Item 1 loading on factor 2</dd>

<dt>f2item2</dt>
<dd>Item 2 loading on factor 2</dd>

<dt>f2item3</dt>
<dd>Item 3 loading on factor 2</dd>

<dt>f2item4</dt>
<dd>Item 4 loading on factor 2</dd>

<dt>f2item5</dt>
<dd>Item 5 loading on factor 2</dd>

<dt>f2item6</dt>
<dd>Item 6 loading on factor 2</dd>

<dt>f2item7</dt>
<dd>Item 7 loading on factor 2</dd>

<dt>f2item8</dt>
<dd>Item 8 loading on factor 2</dd>

<dt>f2item9</dt>
<dd>Item 9 loading on factor 2</dd>


</dl>

Simulated Data set to Demonstrate Random Allocations of Parcels

Last chance! 50% off unlimited learning

simParcel: Simulated Data set to Demonstrate Random Allocations of Parcels

Description

Usage

Arguments

Format

Examples