[Read more...]

[Read more...]

“Statistics are used much like a drunk uses a lamppost: for support, not illumination.”A.E. Housman (commonly attributed to Andrew Lang)Recently at work I stumbled into a classic example of Simpson's Paradox (Yule-Simpson Effect). Many people are not familiar with this phenomena, so I thought I would provide ... [Read more...]

"Who do we think will rise if Assad falls?""Do we have a “government in a box” that we think we can fly to Damascus and put into power if the Syrian army collapses, the regime falls and ISIS approaches the capital?""Have we forgotten the lesson of “Animal Farm”? ... [Read more...]

My effort on machine learning with R is now available. [Read more...]

Another post on Cluster Analysis and the NFL, this time on the Perceivant.com blog.http://perceivant.com/nfl-ranking-cluster-analysis/ [Read more...]

“The time has come to get deeply into football. It is the only thing we have left that ain't fixed.”Hunter S. Thompson, Hey Rube Column, November 9, 2004I have to confess that I haven’t been following the NFL this year as much as planned or hoped.  On only 3 or 4 ... [Read more...]

My first blog post on Perceivant.comhttp://perceivant.com/causality-time-series-determining-impact-marketing-interventions/ [Read more...]

 First of all, let me say “Thank You” to all of the 357 people who completed the survey. I was hoping for 100, so needless to say the response blew away my expectations. This endeavor seems like a worthwhile effort to do once a year. Next year I will refine the questionnaire ... [Read more...]

I've almost achieved my goal of a minimum of 100 quality responses.  I will keep the survey open for a couple more days, so if you haven't responded, please feel free to have a crack at it.Regards,Coryhttps://www.surveymonkey.com/s/7DY8DYH [Read more...]

Dear Blog Readers,I have numerous topics I could discuss in future blog posts.  However, I would like to capture those topics that most interest you.  Therefore, I've put together a short survey (see the link below) for everyone to weigh-in o... [Read more...]

NFL Draft 2014 It can't be easy being a Jacksonville Jaguars fan. It seems that management has learned nothing from the Blaine Gabbert debacle. By that I mean I'm not impressed with their first round pick Blake Bortles. Bucky Brooks of NFL.com called him a “developmental prospect”. Developmental? Is that ... [Read more...]

http://blog.quandl.com/blog/mythbusting-dr-copper/ [Read more...]

Image by Justin Reznick   “An economist is an expert who will know tomorrow why the things he predicted yesterday didn't happen today.” Laurence J. Peter (author and creator of the Peter Principle) If you were paying attention to financial sites last month, you probably noticed a number of articles on “... [Read more...]

Spring is at hand and it is a time of renewal, March Madness and to settle scores in the NHL.  There are many scores to be settled: Flyers vs. Penguins, Blackhawks vs. Red Wings, Leafs vs. Habs and pretty much everyone else vs. the Bruins.  L... [Read more...]

Even a casual fan of North Dakota Hockey will notice that in the era of Coach Dave Hakstol, the team seems to perform better in the second half of the season than the first.  For the rabid fans of the team like myself, it has become a horrible and... [Read more...]

As I sit here waiting on more frigid temperatures subsequent to another 10 inches of snow, suffering from metastatic cabin fever, I can't help but ponder what I can do examine global warming/climate change.  Well, as luck would have it, R has the tools to explore this controversy.  Using two ... [Read more...]

spu.ri.ousadjective : not genuine, sincere, or authentic: based on false ideas or bad reasoning http://www.merriam-webster.com/dictionary/spuriousWhen it comes to analysis of time series, just because you can, doesn't mean you should, particularly with regards to regression.  In short, if you have highly autoregressive time series ... [Read more...]

I want to wrap this series up on the breast cancer data set and move on to other topics.  Here I will include the random forest technique and evaluate all three modeling techniques together, including the conditional inference tree and bootstrap a... [Read more...]

Part 1 consisted of building a classification tree with the "party" package.  I will now use "ipred" to examine the same data with a bagging (bootstrap aggregation) algorithm. __ library(ipred)__ train_bag = bagging(class ~ ., data=train, coob... [Read more...]