Tools for Exploring Multivariate Data: The Package ICS
نویسندگان
چکیده
This introduction to the R package ICS is a (slightly) modified version of Nordhausen, Oja, and Tyler (2008c), published in the Journal of Statistical Software. Invariant coordinate selection (ICS) has recently been introduced as a method for exploring multivariate data. It includes as a special case a method for recovering the unmixing matrix in independent components analysis (ICA). It also serves as a basis for classes of multivariate nonparametric tests, and as a tool in cluster analysis or blind discrimination. The aim of this paper is to briefly explain the (ICS) method and to illustrate how various applications can be implemented using the R package ICS. Several examples are used to show how the ICS method and ICS package can be used in analyzing a multivariate data set.
منابع مشابه
Invariant coordinate selection for multivariate data analysis - the package ICS
Invariant coordinate selection (ICS ) has recently been introduced by Tyler et al. (2008) as a method for exploring multivariate data. It includes as shown in Oja et al. (2006) as a special case a method for recovering the unmixing matrix in independent components analysis (ICA). It also serves as a basis for classes of multivariate nonparametric tests. The aim of this paper is to briefly expla...
متن کاملGuest Editors' Introduction: Advances in 3-D Integrated Circuits, Systems, and CAD Tools - Part 2
h THREE-DIMENSIONAL INTEGRATION HAS been considered one of the most promising breakthrough technologies achieving higher integration density, better performance, lower power consumption, and smaller form factor. Enabling 3-D integration, however, requires innovation and advancement in manufacturing technology, modeling, design methodologies, and optimization algorithms for physical layout, circ...
متن کاملnetgwas: An R Package for Network-Based Genome-Wide Association Studies
Graphical models provide powerful tools to model and make the statistical inference regarding complex relationships among variables in multivariate data. They are widely used in statistics and machine learning particularly to analyze biological networks. In this paper, we introduce the R package netgwas which is designed for accomplishing three important, and inter-related, goals in genetics: l...
متن کاملMADE4: an R package for multivariate analysis of gene expression data
SUMMARY MADE4, microarray ade4, is a software package that facilitates multivariate analysis of microarray gene-expression data. MADE4 accepts a wide variety of gene-expression data formats. MADE4 takes advantage of the extensive multivariate statistical and graphical functions in the R package ade4, extending these for application to microarray data. In addition, MADE4 provides new graphical a...
متن کاملRankcluster: An R Package for clustering multivariate partial ranking
Rankcluster is the first R package dedicated to ranking data. This package proposes modelling and clustering tools for ranking data, potentially multivariate and partial. Ranking data are modelled by the Insertion Sorting Rank (isr) model, which is a meaningful model parametrized by a central ranking and a dispersion parameter. A conditional independence assumption allows to take into account m...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2009