Statistically-rigorous, context-rich signal comparisons without compromise.

Works on All Signals and Responses

Our arc-length analytics framework has been proven effective on almost all types of continuous data. Datasets without a common sampling axes, that terminate at different points, or which are non-monotonic in one or more axes can all be handled with one tool!

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Arc-length Re-parameterization

Arc-length Re-parameterization is the cornerstone of the arc-length analytics Framework. This technique lets our products analyze your signals and responses while maintaining the context of the inputted data.

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Arc-length Statistical Parametric Mapping

Adapted from decades of neuroscience research,ARCMap uses statistical parametric mapping, a powerful tool to determine and localize differences between two or more sets of signals, without the need to reduce context-rich data to single scalar values. ARCMap not only lets you know if a statistically significant difference exists, but automatically highlights the regions and features that drive differences, accounting for variability in multiple axes simultaneously.

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Context-Rich Statistical Inferences

ARCMap automatically finds and highlights the regions of the responses that drive differences, providing critical context when understanding your datasets.

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Arcus Analytica is an innovative software, consulting and data analysis firm, enabling industry and researchers to rapidly achieve their data analysis objectives with certainty.

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