The Rattle user interface uses the RGtk2 package to present an intuitive point and click interface for data mining, extensively building on the excellent collection of R packages by very many authors for data manipulation, exploration, analysis, and evaluation.
the optional name of a CSV file to load into Rattle on startup.
The optional name as a character string of a dataset to load into Rattle on startup.
if not supplied then automatically determine whether to use the new GtkBuilder rather than the deprecated libglade. A user can override the heuristic choice with TRUE or FALSE.
Refer to the Rattle home page in the URL below for a growing reference manual for using Rattle.
Whilst the underlying functionality of Rattle is built upon a vast collection of other R packages, Rattle itself provides a collection of utility functions used within Rattle. These are made available through loading the rattle package into your R library. The See Also section lists these utility functions that may be useful outside of Rattle.
Rattle can initialise some options using a .Rattle file if the folder in which Rattle is started. The currently supported options are .RATTLE.DATA, .RATTLE.SCORE.IN, and .RATTLE.SCORE.OUT.
If the environment variable RATTLE\_DATA is defined then that is set as the default CSV file name to load. Otherwise, if .RATTLE.DATA is defined then that will be used as the CSV file to load. Otherwise, if csvname is provided then that will be used.
Two environments are exported by Rattle, capturing the current rattle state (crs) and the current rattle variables (crv).
Package home page: https://rattle.togaware.com
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# You can start rattle with a path to a csv file to pre-specify the # dataset. You then need to click Execute to load the data. ## Not run: rattle(system.file("csv", "weather.csv", package = "rattle"))
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