Advanced Methods
Dig into your data with advanced statistical techniques and methods
Dimension Reduction
- How to replicate Principal Component Analysis Components/Dimensions 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 do 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 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
- How to Create a Proportion of Correct Predictions Variable 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 Select the Regression Type for Driver Analysis
- How to Use Partial Least Squares to Conduct Relative Importance 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 Variables from a Latent Class MaxDiff Analysis - RLH (Root Likelihood)
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 Troubleshoot Regression Problems
- How to get an Adjusted R-Square in Linear Regression
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