2015/03/26 by Rafael S. de Souza, B. Ciardi, de Souza, Rafael S. +1
Computer Science · Mathematics · #Data Analysis with R #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Statistical and numerical algorithms #Time Series Analysis and Forecasting
paper · doi:10.48550/arxiv.1503.07736
openalex publication_date 2015/03/26 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We present AMADA, an interactive web application to analyse 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.