Title: MVPARTwrap: Additional features for package mvpart.
Imports: Hmisc, labdsv, vegan, fBasics, ade4
Description: The main function of this package, MRT, provides to the following information : the proper cluster membership allocation in the tree, the discriminant species for each cluster, the tree nodes at the proper level of R2 (1-relative error), the total species variance partitioned by species, by the tree, and by the splits of the tree, plus a different graphic representation of the final model in the form of a tree. Moreover, the CascadeMRT function allows a cascade MRT analysis and the CasMRTR2 function allows to illustrate the (unadjusted) variation explained by each wave/drops. Last but not least, the R2aGDF function permits the calculation of an adjusted R^2 for an MRT model.

Package: MVPARTwrap
Version: 0.1-9
Date: 2011-11-14
Title: MVPARTwrap: Additional functionnalities for package mvpart.
Author: Marie-Helene Ouellette <marieheleneo@gmail.com>, with
contributions from Pierre Legendre
<pierre.legendre@umontreal.ca>.
Maintainer: Marie-Helene Ouellette <marieheleneo@gmail.com>
Depends: Hmisc, mvpart, labdsv, vegan, fBasics, ade4
Description: The main function of this package, MRT, provides to the
following information : the proper cluster membership
allocation in the tree, the discriminant species for each
cluster, the tree nodes at the proper level of R2 (1-relative
error), the total species variance partitionned by species, by
the tree, and by the splits of the tree, plus a different
graphic representation of the final model in the form of a
tree. Moreover, the CascadeMRT function allows a cascade MRT
analysis and the CasMRTR2 function allows to illustrate the
(unadjusted) variation explained by each wave/drops. Last but
not least, the R2aGDF function permits the calculation of an
adjusted R^2 for an MRT model.
License: GPL (>= 2)
URL: http://www.r-project.org
Packaged: 2012-05-01 16:29:07 UTC; maryh2002
Repository: CRAN
Date/Publication: 2012-05-02 05:52:41

Description: Functions used for graphing in multivariate contexts. These
functions are designed to support produce reasonable graphs with minimal
input of graphing parameters. The motivation for these functions was to
support students learning multivariate concepts and R - there may be
other functions and packages better-suited to practical data analysis. For
details about the ellipse methods see Johnson and Wichern (2007,
Packaged: 2020-02-20 12:57:52 UTC; Douglas Whitaker