Browse Over Longitudinal Data Graphically and Analytically in R

Provides a framework of tools to summarise, visualise, and explore longitudinal data. It builds upon the tidy time series data frames used in the 'tsibble' package, and is designed to integrate within the 'tidyverse', and 'tidyverts' (for time series) ecosystems. The methods implemented include calculating features for understanding longitudinal data, including calculating summary statistics such as quantiles, medians, and numeric ranges, sampling individual series, identifying individual series representative of a group, and extending the facet system in 'ggplot2' to facilitate exploration of samples of data. These methods are fully described in the paper "brolgar: An R package to Browse Over Longitudinal Data Graphically and Analytically in R", Nicholas Tierney, Dianne Cook, Tania Prvan (2020) .


Reference manual

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0.1.2 by Nicholas Tierney, 5 months ago

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Authors: Nicholas Tierney [aut, cre] , Di Cook [aut] , Tania Prvan [aut] , Stuart Lee [ctb] , Earo Wang [ctb]

Documentation:   PDF Manual  

Task views: Time Series Analysis

MIT + file LICENSE license

Imports dplyr, fabletools, ggplot2, glue, magrittr, purrr, rlang, stats, tibble, tidyr, tsibble, vctrs

Suggests markdown, covr, gapminder, gghighlight, knitr, lme4, modelr, readr, rmarkdown, spelling, testthat, tsibbledata, vdiffr

Suggested by loadflux.

See at CRAN