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 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
- How to run Machine Learning Diagnostics - Table of Discriminant Function Coefficients extension
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