The Tiny Tour

Sun

It starts with nine views of random or user-specified projections. Figures in sun.cwru.edu/~jiayang/nsf/ipp.html provide a birds-eye view of some features of our ipp. It then continues, by a user's click on the ``optimize'' button, with nine (not one) most informative solutions (maxima), based on Friedman's (1987) indices. Once an interesting projection is uncovered, the user may investigate it further, entering a new display that features only a single projection and/or its neighborhood and provides the P-value (calculated following Sun, 1991 and Fleischer and Sun, 1998) of the projection and summary statistics of the first four moments of that projection. Other options, such as changing the order, J, of the Legendre polynomials, assessing the importance of a particular variable on the PP index (for variable selection), and removing the current interesting projection (called structural removal by Friedman, 1987), are available for going into the next level of projections. Other multivariate analysis tools such as dendrograms, perspective plots and contour plots are also linked to the 2-d PP. ipp is very easy to use. It was successfully applied to a large messy data set collected by Bill Black on college football, which has many missing values (see sun.cwru.edu/~jiayang/ft.html).

For a quick but not so small a tour, go here for a tour of version 2.