gui_scatmat: Scatmat Tour GUI
Displays an Scatmat Tour GUI
Description
This GUI allows users to control the scatter matrix tour
by simply moving and clicking their mouses. The Variable
Selection checkboxes contains all the numeric variables,
and at least three of them need to be checked to make the
display work. All the categorical variables go to the
Class Seclection box. We should select the class variable
by double clicking the variable names. Color isn't
implemented with the scatmat tour yet. The Tour Type
radio buttons contains four different tour types. They
are the Grand Tour, Little Tour, Local Tour and Guided
Tour. We can only choose one type a time. For the Guided
Tour, we need to choose an index from the droplist to
specify which particular search type is desired. The
default index would be holes. For tour type
Guided(lda_pp) and Guided(pda_pp), we also need to
specify class variable first, and the Guided(pda_pp) is
also controlled by another parameter, lambda. Lambda
ranges from 0 to 1, with default at 0.02. A value of 0
will make the tour operate like Guided(lda_pp). The
Projections Dimension radio buttons allow us to select
pojection dimension for the nD tour. The Speed slider can
control the speed of the nD tour. Simply dragging the
mouse along the slider, changes the speed from slow to
fast. The Pause check box allow users to pause the
dynamic nD tour and have a close examination on the
details. The Apply button allows users to update the nD
tour, when it doesn't automatically update. The Quit
button allows users to close thie GUI window. The Help
button provides information about the tour and also what
this GUI can do. Tooltips will pop up when the mouse is
moved over the GUI, which give hints about the
functionality of the different GUI elements.
Usage
gui_scatmat(data = flea, ...)
Arguments
data
matrix, or data frame containing numeric
columns, defaults to flea dataset
Bei Huang, Dianne Cook, Hadley Wickham (2012). tourrGui:
A gWidgets GUI for the Tour to Explore High-Dimensional
Data Using Low-Dimensional Projections. Journal of
Statistical Software, 49(6), 1-12.
http://www.jstatsoft.org/v49/i06/.