df_xtab_matrix

Cross-tabulates columns of a dataframe into a matrix with NAs for unspecified pairs

A powerful, easy to syntax for specifying and estimating complex
Structural Equation Models. Models can be estimated using Partial
Least Squares Path Modeling or Covariance-Based Structural Equation
Modeling or covariance based Confirmatory Factor Analysis. Methods described in Ray, Danks, and Valdez (2021).

Nicholas Danks

seminr

Building and Estimating Structural Equation Models

Soumya Ray

Nicholas Patrick Danks

André Calero Valdez

Juan Manuel Velasquez Estrada

James Uanhoro

Johannes Nakayama

Lilian Koyan

Laura Burbach

Arturo Heynar Cano Bejar

Susanne Adler

df_xtab_matrix function

<dl><dt>model</dt>
<dd>A <code>formula</code> indicating relevant columns from data frame</dd>
<dt>df</dt>
<dd>A <code>data.frame</code> of columns to cross-tabulate</dd>
<dt>rows</dt>
<dd>A <code>vector</code> of row names for the matrix to sort by</dd>
<dt>columns</dt>
<dd>A <code>vector</code> of column names for the matrix to sort by</dd></dl>

Arguments

Cross-tabulates columns of a dataframe into a matrix with NAs for unspecified pairs — df_xtab_matrix

<dl>

<dt>model</dt>
<dd>A <code>formula</code> indicating relevant columns from data frame</dd>


<dt>df</dt>
<dd>A <code>data.frame</code> of columns to cross-tabulate</dd>


<dt>rows</dt>
<dd>A <code>vector</code> of row names for the matrix to sort by</dd>


<dt>columns</dt>
<dd>A <code>vector</code> of column names for the matrix to sort by</dd>

</dl>

Cross-tabulates columns of a dataframe into a matrix with NAs for unspecified pairs

df_xtab_matrix: Cross-tabulates columns of a dataframe into a matrix with NAs for unspecified pairs

Description

Usage

Value

Arguments