Principal Components Analysis with R

This component works with R and uses the psych package to estimate a PCA model on the columns selected in the configuration dialog. Click on the interactive view to visualize a dashboard.
It also provides all statistical indicators necessary to evaluate and interpret the model, including the rotated factor loadings matrix. You can choose between different rotation methods.
To use this component please make sure to install Anaconda or Miniconda in your system and to set up the Anaconda settings in the KNIME Analytics Platform Preferences.

This component adopts "psych" and "GPArotation" R libraries.
The project "psych: Procedures for Psychological, Psychometric, and Personality Research" (cran.r-project.org/web/packages/psych) is Copyright © 2005-2006 by its authors and released under License: GPL Version 2 or later.
The project "GPArotation: GPA Factor Rotation" (cran.r-project.org/web/packages/GPArotation) is Copyright © 2021 by its authors and released under License: GPL Version 2 or later.
Current GPL Version: 3 (cran.r-project.org/web/licenses/GPL-3)

Input ports

1. Type: Table
   Input
   Input

Output ports

1. Type: Table
   Factor Loadings and communalities
   Evaluation metrics
2. Type: Table
   Eingenvalues and variance explained by components
   Evaluation metrics
3. Type: Table
   Factor Scores
   Orginal data table with scores