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gravitas (version 0.1.3)

Explore Probability Distributions for Bivariate Temporal Granularities

Description

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.

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Install

install.packages('gravitas')

Monthly Downloads

217

Version

0.1.3

License

GPL-3

Issues

Pull Requests

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Maintainer

Sayani Gupta

Last Published

June 25th, 2020

Functions in gravitas (0.1.3)

gran_advice

Advice summaries for granularities
cricket

Cricket data set for different seasons of Indian Premier League
print.gran_advice

Advice summaries for granularities
validate_gran

Validate created granularities with existing columns
prob_plot

Plotting probability distributions across granularities
reexports

Objects exported from other packages
harmony

Get possible set of harmonies for a given tsibble
search_gran

Search for granularities
is_harmony

Check if two temporal granularities are harmonies
gran_obs

Cross tabulation of granularities useful for validating if number of observations are sufficient to compute probability distributions
run_app

Runs a shiny app demonstrating functionalities of gravitas
create_gran

Build dynamic temporal granularities
smart_meter10

Smart meter data for ten households