R Tutorial: Teasing Out a Markov Chain

Azzalini and Bowman’s Old Faithful geyser data provides fodder for a lot of data exploration in R (scatterplots, ggplot2, simple regression, kmeans clustering, and Markov chain estimation).  All the really interesting stuff in the tutorial  happens if you click through to Analysis > Models > Standardized Cluster Model.  (The standardized clustering approach is not givenContinue reading “R Tutorial: Teasing Out a Markov Chain”

Beginning: R Tutorials

After a long, slow start, R is catching on with statisticians and (some) scientists at UTSA.  The Biology Department has asked that I use R in teaching biostatistics, and many of the courses for statistics majors are using R rather than SAS (a UTSA tradition).  Students have not been idle; the statistics club has askedContinue reading “Beginning: R Tutorials”

New Tricks for this Old Dog

Udacity is offering an introductory statistics course this summer, beginning June 25th.  I’ve enrolled, to see how the Big Boys do it.  This is going to put a lot of pressure on traditional universities–especially here in Texas, where we’re busily hammering out the $10,000 Bachelor’s degree.  I figure if I don’t get up with theContinue reading “New Tricks for this Old Dog”

Heretics! Burn them!

Just as UTSA begins to ramp up its Quantitative Scholarship program to inject mathematical reasoning into every crevice of our curriculum, heretics are beginning to doubt the whole enterprise.  Part of the problem is that most remedial and math literacy programs (and textbooks) are filled with bullshit applications and examples (“the rate at which theContinue reading “Heretics! Burn them!”

Brace yourself for (re)apportionment!

Here’s a concise history of congressional apportionment, with a good stab at explaining the mathematical rules involved.  Tannenbaum’s Excursions in Modern Mathematics devotes a chapter to the topic; I used to teach this in our statistical literacy course. Tip from The Geek Press Update (22 July).  A new book on voting systems is reviewed inContinue reading “Brace yourself for (re)apportionment!”