Abstract
Abstract We present AMADA, an interactive web application to analyze multidimensional datasets. The user uploads a simple ascii file and AMADA performs a number of exploratory analysis together with contemporary visualizations diagnostics. The package performs a hierarchical clustering in the parameter space, and the user can choose among linear, monotonic or non-linear correlation analysis. AMADA provides a number of clustering visualization diagnostics such as heatmaps, dendrograms, chord diagrams, and graphs. In addition, AMADA has the option to run a standard or robust principal components analysis, displaying the results as polar bar plots. The code is written in r and the web interface was created using the shiny framework. AMADA source-code is freely available at https://goo.gl/KeSPue , and the shiny-app at http://goo.gl/UTnU7I .
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