Blog Archives

Attitudes Modeled as Networks

December 10, 2015
By
Attitudes Modeled as Networks

In case you missed it, Jonas Dalege and his colleagues at the PsychoSystems research group have recently published an article in Psychological Review detailing how attitudes can be represented as network graphs. It is all done using R and a dataset tha...

Read more »

The Topology Underlying the Brand Logo Naming Game: Unidimensional or Local Neighborhoods?

December 4, 2015
By
The Topology Underlying the Brand Logo Naming Game: Unidimensional or Local Neighborhoods?

You can find the app on iTunes and Google Play. It's a game of trivial pursuits - here's the logo, now tell me the brand. Each item is scored as right or wrong, and the players must take it all very seriously for there is a Facebook page with cheat she...

Read more »

The Statistician as Data Action Hero

December 2, 2015
By

"If our goal as a field is to use data to solve problems, then we need to move away from exclusive dependence on data models and adopt a more diverse set of tools."Leo BreimanStatistical Modeling: The Two CulturesBreiman ends the opening abstract of his "manifesto" to the statistical community with the above call to action. As a statistics...

Read more »

Statistical Models That Support Design Thinking: Driver Analysis vs. Partial Correlation Networks

November 24, 2015
By
Statistical Models That Support Design Thinking: Driver Analysis vs. Partial Correlation Networks

We have been talking about design thinking in marketing since Tim Brown's Harvard Business Review article in 2008. It might be easy for the data scientist to dismiss the approach as merely a type of brainstorming for new products or services. Yet, desi...

Read more »

Mutually Exclusive Clusters Are Boxes within Which Consumers No Longer Fit

November 8, 2015
By
Mutually Exclusive Clusters Are Boxes within Which Consumers No Longer Fit

Sometimes we force our categories to be mutually exclusive and exhaustive even as the boundaries are blurring rapidly.Of course, I am speaking of cluster analysis and whether it makes sense to force everyone into one and only one of a set of discrete b...

Read more »

Clustering Customer Satisfaction Ratings

November 1, 2015
By
Clustering Customer Satisfaction Ratings

We run our cluster analysis with great expectations, hoping to uncover diverse segments with contrasting likes and dislikes of the brands they use. Instead, too often, our K-means analysis returns the above graph of parallel lines indicating that the p...

Read more »

Graphical Modeling Mimics Selective Attention: Customer Satisfaction Ratings

October 28, 2015
By
Graphical Modeling Mimics Selective Attention: Customer Satisfaction Ratings

As shown by the eye tracking lines and circles, there is more on the above screenshot than we can process simultaneously. Visual perception takes time, and we must track where the eye focuses by recording sequence and duration. The "50% off" ...

Read more »

The Network Underlying Consumer Perceptions of the European Car Market

October 13, 2015
By
The Network Underlying Consumer Perceptions of the European Car Market

The nodes have been assigned a color by the author so that the underlying distinctions are more pronounced. Cars that are perceived as Economical (in aquamarine) are not seen as Sporty or Powerful (in cyan). The red edges connecting these attributes in...

Read more »

The Graphical Network Associated with Customer Churn

October 8, 2015
By
The Graphical Network Associated with Customer Churn

The node representing "Will Not Stay" draws our focus toward the left side of the following undirected graph. Customers of a health care insurance provider were asked about their intentions to renew at the next sign-up period. We focus on those indicat...

Read more »

Undirected Graphs When the Causality Is Mutual

October 5, 2015
By
Undirected Graphs When the Causality Is Mutual

Structural equation models impose causal order on a set of observations. We start with a measurement model: a list of theoretical constructs and a table assigning what is observed (manifest) to what is hidden (latent). Although it is possible to think ...

Read more »

Sponsors

Mango solutions



RStudio homepage



Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training

datasociety

http://www.eoda.de





ODSC

ODSC

CRC R books series





Six Sigma Online Training









Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)