Statistics in the Triad, Part II: Log-Ratio Transformation

This post is a continuation of Statistics in the Triad, Part I: Geometric Mean. The two are meant to be read sequentially, since the mathematical elements of the first are an important and inescapable prerequisite for the second. If you already have a working knowledge of the geometric mean, however, and how its use differsContinue reading “Statistics in the Triad, Part II: Log-Ratio Transformation”

Statistics in the Triad, Part I: Geometric Mean

The ternary plot, better known in the Cogniverse as a triad, is familiar to users of SenseMaker as a tool for both data collection and data display. Its three vertices usually denote potential attributes, among which respondents can choose in any proportions, to amplify or augment their responses or reactions to some prompt about whichContinue reading “Statistics in the Triad, Part I: Geometric Mean”