# Advanced Methods

Dig into your data with advanced statistical techniques and methods

### Dimension Reduction

- How to do Feature Engineering in Displayr
- How to Create a Dimension Reduction Scatterplot
- How to Create a Principal Component Analysis Biplot
- How to Do Multiple Correspondence Analysis in Displayr
- How to Create a Scree Plot from a Principal Component Analysis

### TURF

### Analysis of Variance

### Machine Learning

- How to Create Diagnostic Reports for Latent Class, Mixed Mode Trees, and Mixed Mode Cluster Analysis
- How to Save Machine Learning Probability of Each Response Variable
- How to Save Machine Learning Predicted Values Variables
- How to Save Machine Learning Discrimination Variables
- How to Run Machine Learning Diagnostics - Prediction-Accuracy Table

### Structural Equation Modeling

### Correlation

### Segmentation

### Choice Modeling

- How to Convert Alchemer Conjoint Data for Analysis in Displayr
- How to Adjust A Choice Model Simulator to Better Predict Market Share
- How to Create a Choice Model Optimizer
- How to Compare Discrete Choice Models
- How to Set Up a Choice-Based Conjoint Analysis in Qualtrics

### Driver Analysis

### MaxDiff

- How to Perform an Advanced Analysis of Experimental Data (MaxDiff)
- How to Setup a MaxDiff Experiment as a Ranking
- How to Convert Alchemer MaxDiff Data for Analysis in Displayr
- How to Create a MaxDiff Model Comparison Table
- How to Create a Table of Parameter Statistics from a Hierarchical Bayes Analysis

### Multidimensional Scaling

### Regression & Generalized Linear Models

- How to get an Adjusted R-Square in Linear Regression
- How to Select the Regression Type
- How to Save Residuals of Regression Models
- How to Save Probabilities of Each Response of Regression Models
- How to Save Predicted Values of Regression Models