Basic wavelet analysis of multivariate time series with a visualisation and parametrisation using graph theory This package computes the correlation matrix for each scale of a wavelet decomposition, namely the one performed by the R package waveslim (Whitcher, 2000). An hypothesis test is applied to each entry of one matrix in order to construct an adjacency matrix of a graph. The graph obtained is finally analysed using the small-world theory (Watts and Strogatz, 1998) and using the computation of efficiency (Latora, 2001), tested using simulated attacks. The brainwaver project is complementary to the camba project for brain-data preprocessing. A collection of scripts (with a makefile) is avalaible to download along with the brainwaver package, see information on the webpage mentioned below. Software Depends: R (>= 1.5.0), waveslim Sophie Achard <sa428@cam.ac.uk>, , <sophie.achard@gipsa-lab.inpg.fr> Sophie Achard <sa428@cam.ac.uk>, <sophie.achard@gipsa-lab.inpg.fr> GPL (>= 2) 2010-08-10 application/tgz http://CRAN.R-project.org/package=brainwaver