# Blog.

## Statistics.

Checking Convergence When Using Hierarchical Bayes for MaxDiff
16 January 2018 | by Justin Yap

Hierarchical Bayes is an approach to modelling MaxDiff data which can provide better predictive accuracy than other approaches (like latent class analysis). However, it is…

Using Hierarchical Bayes for MaxDiff in Q
16 January 2018 | by Justin Yap

In this blog post I describe how to run Hierarchical Bayes for MaxDiff in Q, and explain the options and outputs available. Getting started Your…

Using Hierarchical Bayes for MaxDiff in Displayr
16 January 2018 | by Justin Yap

In this blog post I describe how to run Hierarchical Bayes for MaxDiff in Displayr, and explain the options and outputs available. Getting started Your…

Comparing Tricked Logit and Rank-Ordered Logit with Ties for MaxDiff
17 October 2017 | by Justin Yap

This article compares two ways to analyze Max Diff data - Tricked Logit and Rank-Ordered Logit with Ties - for latent class analysis or Hierarchical Bayes

Dimensionality Reduction Using t-SNE
05 September 2017 | by Jake Hoare

t-SNE is a method for visualizing high dimensional space. It often produces more insightful charts than the alternatives like PCA.

Understanding the Math of Correspondence Analysis
08 August 2017 | by Tim Bock

If you've ever wanted a deeper understanding of what's going on behind the scenes of Correspondence analysis, then this post is for you. Examples are in R.

Singular Value Decomposition (SVD): Tutorial Using Examples in R
02 August 2017 | by Tim Bock

Singular value decomposition (SVD) is explained using examples in R. SVD is a workhorse for techniques that decompose data, such as correspondence analysis.

8 Tips for Interpreting R-Squared
31 July 2017 | by Tim Bock

This posts answers the most common questions about how to interpret R-Squared. The basic mistake that people make with R-squared is to try and work out if a

Correspondence Analysis of Square Tables
25 July 2017 | by Jake Hoare

In this post I discuss the special case of Correspondence Analysis with square tables. Such tables often arise in the context of brand switching.

Machine Learning: Pruning Decision Trees
04 July 2017 | by Jake Hoare

Machine learning is a problem of trade-offs. Here I look at pruning and early stopping for managing these trade-offs in the context of decision trees.

Comparing Partial Least Squares to Johnson’s Relative Weights
19 June 2017 | by Tim Bock

Although PLS and Johnson's Relative Weights are both techniques for dealing with correlations between predictors, they give fundamentally different results.

Using Partial Least Squares to Conduct Relative Importance Analysis in R
19 June 2017 | by Jake Hoare

Partial Least Squares in R is a great way to conduct relative importance analysis because it effectively compresses the data before regression.

The Problem with Using Multiple Linear Regression for Key Driver Analysis: a Case Study of the Cola Market
18 June 2017 | by Tim Bock

Why is Multiple Linear Regression the standard technique taught for Key Driver Analysis when it gets it so wrong? The better method is Johnson’s Relative We

Using Partial Least Squares to Conduct Relative Importance Analysis in Displayr
16 June 2017 | by Jake Hoare

Partial Least Squares (PLS) is a popular method for relative importance analysis in fields where the data typically includes more predictors than observations. Relative importance analysis…

Using Cross-Validation to Measure MaxDiff Performance
23 May 2017 | by Justin Yap

This post compares various approaches to analyzing MaxDiff data using a method known as cross-validation. Before you read this post, make sure you first read How MaxDiff…

How MaxDiff Analysis Works (Simplish, but Not for Dummies)
23 May 2017 | by Tim Bock

This post explains the basic mechanics of how preferences can be measured using the data collected in a MaxDiff experiment. Before you read this post, make sure…

When to Use, and Not Use, Correspondence Analysis
23 May 2017 | by Tim Bock

Correspondence analysis is one of those rare data science tools which make things simpler. You start with a big table that is too hard to…

When to Use Relative Weights Over Shapley
19 April 2017 | by Justin Yap

Shapley regression has been gaining popularity in recent years and has been (re-)invented multiple times. However, relative weights, should be used instead.