Provides tools for systematically exploring large quantities of temporal data across cyclic temporal granularities (deconstructions of time) by visualizing probability distributions. Cyclic time granularities can be circular, quasi-circular or aperiodic. 'gravitas' computes cyclic single-order-up or multiple-order-up granularities, check the feasibility of creating plots for any two cyclic granularities and recommend probability distributions plots for exploring periodicity in the data <doi:10.1080/10618600.2021.1938588> When there are many granularities that can be constructed for a time period, there will also be too many possible displays to decide which might be the more interesting to display. `gravitas` also provides functions to screen and rank the possible granularities, and hence choose the most interesting ones to plot.
Package details |
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Maintainer | Sayani Gupta <gupta.sayani@gmail.com> |
License | GPL-3 |
Version | 0.1.3 |
URL | https://github.com/Sayani07/gravitas/ |
Package repository | View on GitHub |
Installation |
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