Multivariate Projection Methods

Exploratory graphical analysis of multivariate data, specifically gene expression data with different projection methods: principal component analysis, correspondence analysis, spectral map analysis.


1.0-22 o further fix in plot.mpm in the presence of label.tol.col 1.0-21 o fix bug in plot.mpm that occurred when specifying 1.0-20 o trivial fix in .onAttach o small documentation improvements 1.0-19 o fix in plot.mpm to allow depiction of spectral maps with negative numbers o add option to only label a limited number of columns (label.col.tol) 1.0-18 o rename dump.summary.mpm to export.summary.mpm and add generic function 1.0-17 o compress data files better and move to Roxygen-based documentation 1.0-16 o remove dependency on geneplotter for plot.mpm with do.smoothScatter = TRUE and replace with dependency on recommended package KernSmooth o add legend argument 1.0-15 o extend the sampleNames argument to allow to specify the labels to be used on the plot as a character vector (alternatively to the use of a logical of length one as introduced in 1.0-14) 1.0-14 o introduce sampleNames argument to display sample names (TRUE) or not (FALSE) 1.0-13 o modification of default colors for smoothScatter 1.0-12 o return invisibly for plot.mpm o introduce tests directory and script o introduce NAMESPACE o display package version on loading package 1.0-11 o added dump.summary.mpm function to package o fix sub title 1.0-10 o introduction of labels argument for plot.mpm in order to allow labels to be different from the row names 1.0-9 o clarification plot.mpm documentation o removed (less flexible) title' argument in favor of classical main / sub titles which can be passed to eqscplot via...' instead

Reference manual

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1.0-22 by Tobias Verbeke, 7 years ago

Browse source code at

Authors: Luc Wouters <[email protected]>

Documentation:   PDF Manual  

GPL (>= 2) license

Depends on MASS, KernSmooth

See at CRAN