# Advanced Methods

Dig into your data with advanced statistical techniques and methods

### Dimension Reduction

- How to Replicate Components/Dimensions from Principal Component Analysis Using R and Excel
- 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

### TURF

### Analysis of Variance

### Machine Learning

- How to Create a Machine Learning Diagnostic - Analysis Report
- How to Read a Standard R Table
- How to Convert a Predictive Model Simulator into an Allocation Tool for New Data
- 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

### Structural Equation Modeling

### Correlation

### Segmentation

- How to Interpret Trees
- How to Perform Mixed Mode Cluster Analysis in Displayr
- How to Do Hierarchical Cluster Analysis in Displayr
- How to Create a Segmentation Comparison Table
- How to Analyze Data by Groups/Segments

### Choice-Based Conjoint

- How to Do the Statistical Analysis of Choice-Based Conjoint Data
- How to Create an Alternative-Specific Simulator
- How to Create Trace Plots from Choice-Modeling Hierarchical Bayes Analysis
- How to Create a Posterior Intervals Plot from Choice-Modeling Hierarchical Bayes Analysis
- How to Save Variable(s) - RLH (Root Likelihood) from a Choice Model

### Driver Analysis

- How to Do Driver Analysis
- Case Study - Regression - Introduction
- How to Create an Importance vs Performance Scatterplot in Displayr
- How to Troubleshoot Regression Problems
- How to Select the Regression Type for Driver Analysis

### MaxDiff

- How to Analyze MaxDiff Using the Rank-Ordered Logit Model With Ties Using R
- How to Analyze MaxDiff Using Standard Logit Models Using R
- How to Run a Boosted Varying Coefficients Model on MaxDiff Data
- How to Perform MaxDiff Multinomial Logit Analysis
- How to How to Save RLH (Root Likelihood) Variables From a MaxDiff Analysis

### Multidimensional Scaling

### Regression & Generalized Linear Models

- How to Save Propensity Weights of Regression Models
- How to Interpret Logistic Regression Outputs
- How to Interpret Logistic Regression Coefficients
- How to View the Adjusted R-Square in Linear Regression
- How to Select the Regression Type

### Linear Discriminant Analysis

### Cluster Analysis

### Latent Class Analysis

### Correspondence Analysis

- How to Interpret a Moonplot
- How to Improve/Troubleshoot Correspondence Analysis Maps
- How to Interpret Correspondence Analysis Plots (It Probably Isn’t the Way You Think)
- How to Do Correspondence Analysis of a Square Table
- How to Add Images to a Correspondence Analysis Map