standardize_safely

Standardize (scale) a matrix/df and report interpretable errors

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

standardize_safely function

<dl><dt>x</dt>
<dd>vector, data.frame, or matrix</dd></dl>

Arguments

Standardize (scale) a matrix/df and report interpretable errors — standardize_safely

<dl>

<dt>x</dt>
<dd>vector, data.frame, or matrix</dd>

</dl>

Standardize (scale) a matrix/df and report interpretable errors

standardize_safely: Standardize (scale) a matrix/df and report interpretable errors

Description

Usage

Value

Arguments