BiplotGUI: Interactive Biplots in R

Biplots simultaneously provide information on both the samples and the variables of a data matrix in two- or three-dimensional representations. The BiplotGUI package provides a graphical user interface for the construction of, interaction with, and manipulation of biplots in R. The samples are represented as points, with coordinates determined either by the choice of biplot, principal coordinate analysis or multidimensional scaling. Various transformations and dissimilarity metrics are available. Information on the original variables is incorporated by linear or non-linear calibrated axes. Goodness-of-fit measures are provided. Additional descriptors can be superimposed, including convex hulls, alpha-bags, point densities and classification regions. Amongst the interactive features are dynamic variable value prediction, zooming and point and axis drag-and-drop. Output can easily be exported to the R workspace for further manipulation. Three-dimensional biplots are incorporated via the rgl package. The user requires almost no knowledge of R syntax.

Residents Informing the Planning Process: Pleasant Valley and Its Natural Resources

As a society, we are slowly learning the importance of the interaction between the natural and built environments. We need a new model for planning and development that gives more weight to natural resource considerations than has traditionally occurred in the development process. An opportunity exists in Pleasant Valley to bring focus to natural resources in future planning efforts by tapping into the local knowledge of residents who know and love the land. Because the area will begin to urbanize in the near future, it is necessary to learn about the area before development occurs or people move away. The purpose of this project was to gather the local knowledge of natural resources and distill it into key findings to guide future plans

BiplotGUI: Interactive Biplots in R

Biplots simultaneously provide information on both the samples and the variables ofa data matrix in two- or three-dimensional representations. The BiplotGUI package provides a graphical user interface for the construction of, interaction with, and manipulation of biplots in R. The samples are represented as points, with coordinates determined either by the choice of biplot, principal coordinate analysis or multidimensional scaling. Various transformations and dissimilarity metrics are available. Information on the original variables is incorporated by linear or non-linear calibrated axes. Goodness-of-t measures are provided. Additional descriptors can be superimposed, including convex hulls, alpha-bags, point densities and classication regions. Amongst the interactive features are dynamic variable value prediction, zooming and point and axis drag-and-drop. Output can easily be exported to the R workspace for further manipulation. Three-dimensional biplots are incorporated via the rgl package. The user requires almost no knowledge of R syntax

Catching a Black Cat in a Dark Room: Evaluating the Shortcomings of Federal and State Anti-Spyware Legislation

This note analyzes state anti-spyware legislation and the latest federal anti-spyware bill, considering criticism raised and evaluating their potential to be effective in stopping spyware. The note concludes that these laws are best aimed at regulating the use of adware, the allegedly more legitimate commercial type of spyware, but do little to protect users from more malicious types of spyware authored by hackers and cyber-criminals. Also, the federal government must regulate the software industry to ensure that a competitive market for technological solutions to these security problems exists. Only by coupling law enforcement with effective industry regulation can the federal government successfully protect computer users from the dangers of spyware

Heart-Balm Statute No Bar to Restitution of Property

Pavlicic v. Vogtsberger, 136 A.2d 127 (Pa. 1957)