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brolgar  

Browse Over Longitudinal Data Graphically and Analytically in R
View on CRAN: Click here


Download and install brolgar package within the R console
Install from CRAN:
install.packages("brolgar")

Install from Github:
library("remotes")
install_github("cran/brolgar")

Install by package version:
library("remotes")
install_version("brolgar", "1.0.1")



Attach the package and use:
library("brolgar")
Maintained by
Nicholas Tierney
[Scholar Profile | Author Map]
First Published: 2020-12-16
Latest Update: 2023-05-05
Description:
Provides a framework of tools to summarise visualise and explorelongitudinal data. It builds upon the tidy time series data frames used in thetsibble package and is designed to integrate within the tidyverse andtidyverts for time series ecosystems. The methods implemented includecalculating features for understanding longitudinal data includingcalculating summary statistics such as quantiles medians and numeric rangessampling individual series identifying individual series representative of agroup and extending the facet system in ggplot2 to facilitate exploration of samples of data. These methods arefully described in the paper brolgar An R package to Browse OverLongitudinal Data Graphically and Analytically in R Nicholas TierneyDianne Cook Tania Prvan 2020 arXiv2012.01619.
How to cite:
Nicholas Tierney (2020). brolgar: Browse Over Longitudinal Data Graphically and Analytically in R. R package version 1.0.1, https://cran.r-project.org/web/packages/brolgar. Accessed 11 Apr. 2025.
Previous versions and publish date:
0.1.0 (2020-12-16 16:30), 0.1.1 (2021-05-27 08:50), 0.1.2 (2021-08-25 14:50), 1.0.0 (2023-02-07 06:12)
Other packages that cited brolgar R package
View brolgar citation profile
Other R packages that brolgar depends, imports, suggests or enhances
Complete documentation for brolgar
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