From the reviews:

“This monograph, part of the Lecture Notes in Statistics series, provides a complete overview of multivariate analysis methods based on spatial signs and ranks. It covers a wide range of topics in classical multivariate analysis and presents some deep theoretical results. … It may serve as ‘a general reference for the latest developments in the area.’ … In summary, Multivariate Nonparametric Methods With R is a good reference book for the area of multivariate nonparametric methods based on spatial signs and ranks … .” (Gang Shen, Journal of the American Statistical Association, Vol. 106 (496), December, 2011)

“This book provides an overview of the theory of multivariate nonparametric methods based on spatial signs and ranks. … In most chapters, the theory and methods are illustrated with examples. Furthermore, the R package MNM is available for computation of the procedures, and the code for the analysis of example data set is also provided in the text.” (Elvan Ceyhan, Mathematical Reviews, Issue 2011 g)