Description Usage Arguments Details Value Note Author(s) Examples
We call a widget "dynamic" if it updates itself immediately when an event occurs, such as a drag and drop, or a change in some value. The dynamic widgets documented here, are meant to provide quick, easy (but limited) access to R's modeling functions, R's significance tests, and R's lattice functions
1 | dLatticeExplorer(container = NULL, ...)
|
container |
A container to attach the object to |
... |
Currently ignored |
For each "dynamic" widget, the variables can be specified by
drag and drop, or by editing the widget. The bold-face areas
of each widget can be edited by clicking on them or by
dropping values. If the drop value comes from a column of an
idf
instance, then when that column is edited, the
dynamic widget is updated. Such variables can not be edited or
changed. Other variables may, such as writing powers, or
applying functions.
The "dynamic" widgets are meant for easy exploration, but not for saving of actions.
The ilatticeexplorer
function creates a dynamic
graphing widget based on lattice
graphics. Up to three
variables (only 2 for univariate graphs) may be dropped on the
widget. The order is for univariate graphs: ~x
then
~x | y
. And for bivariate graphs x
, x ~
y
, x ~ y | z
. The panel functions add to the plots of
dots by, typically, incorporating some trend line.
Although there are methods for dModelsDialog
, these
widgets aren't meant to be interacted with from the command line.
Some of the usability was inspired by the Fathom software.
John Verzani
1 2 3 4 | ## Not run:
dLatticeExplorer()
## End(Not run)
|
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