As long ago as 1897 Karl Pearson, in a now classic paper on spurious correlation, first pointed out dangers that may befall the analyst who attempts to interpret correlations between ratios whose numerators and denominators contain common parts. He thus implied that the analysis of compositional data, with its concentration on relation ships between proportions of some whole, is likely to be fraught with difficulty. History has proved him correct: over the succeeding years and indeed right up to the present day, there has been no other form of data analysis where more confusion has reigned and where more improper and inadequate statistical methods have been applied. The special and intrinsic feature of compositional data is that the proportions of a composition are naturally subject to a unit-sum constraint. For other forms of constrained data, in particular for directional data where there is a unit-length constraint on each direction vector, scientist and statistician alike have readily appre ciated that new statistical methods, appropriate to the special nature of the data, are required; and there now exists an extensive literature on the successful statistical analysis of directional data. It is paradox ical that for compositional data, subject to an apparently simpler constraint, such an appreciation and development have been slower to emerge. In applications the unit-sum constraint has been widely ignored or wished away and inappropriate 'standard' statistical methods, devised for and successfully applied to unconstrained data, have been used with disastrous consequences. Content: Front Matter....Pages i-xv Compositional data: some challenging problems....Pages 1-23 The simplex as sample space....Pages 24-47 The special difficulties of compositional data analysis....Pages 48-63 Covariance structure....Pages 64-91 Properties of matrix covariance specifications....Pages 92-111 Logistic normal distributions on the simplex....Pages 112-140 Logratio analysis of compositions....Pages 141-183 Dimension-reducing techniques....Pages 184-207 Bases and compositions....Pages 208-233 Subcompositions and partitions....Pages 234-255 Irregular compositional data....Pages 256-280 Compositions in a covariate role....Pages 281-304 Further distributions on the simplex....Pages 305-323 Miscellaneous problems....Pages 324-341 Back Matter....Pages 342-416
