This package is considered a duplicate. The official version of this package is found at:https://earowang.r-universe.dev/sugrrants

Package: sugrrants 0.2.9

Earo Wang

sugrrants: Supporting Graphs for Analysing Time Series

Provides 'ggplot2' graphics for analysing time series data. It aims to fit into the 'tidyverse' and grammar of graphics framework for handling temporal data.

Authors:Earo Wang [aut, cre], Di Cook [aut, ths], Rob Hyndman [aut, ths]

sugrrants_0.2.9.tar.gz
sugrrants_0.2.9.zip(r-4.7)sugrrants_0.2.9.zip(r-4.6)sugrrants_0.2.9.zip(r-4.5)
sugrrants_0.2.9.tgz(r-4.6-any)sugrrants_0.2.9.tgz(r-4.5-any)
sugrrants_0.2.9.tar.gz(r-4.7-any)sugrrants_0.2.9.tar.gz(r-4.6-any)
sugrrants_0.2.9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
sugrrants/json (API)

# Install 'sugrrants' in R:

install.packages('sugrrants', repos = c('https://robjhyndman.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/earowang/sugrrants/issues

Datasets:

hourly_peds - Pedestrian counts in Melbourne city

On CRAN:

statistical-graphics time-series

7.55 score 81 stars 1 packages 294 scripts 641 downloads 1 mentions 10 exports 27 dependencies

Last updated from:204a766b59. Checks:9 OK. Indexed: no.

Target	Result	Time
linux-devel-x86_64	OK	221
source / vignettes	OK	210
linux-release-x86_64	OK	147
macos-release-arm64	OK	131
macos-oldrel-arm64	OK	142
windows-devel	OK	115
windows-release	OK	113
windows-oldrel	OK	131
wasm-release	OK	135

Exports:%>%draw_key_acf facet_calendar FacetCalendar frame_calendar geom_acf GeomAcf prettify stat_acf vars

Dependencies:cli cpp11 dplyr farver generics ggplot2 glue gtable isoband labeling lifecycle lubridate magrittr pillar pkgconfig R6 RColorBrewer rlang S7 scales tibble tidyselect timechange utf8 vctrs viridisLite withr

Calendar-based graphics

Rendered fromframe-calendar.Rmdusingknitr::rmarkdown

Last update: 2024-03-11
Started: 2017-06-12

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
sugrrants: supporting graphs for analysing time series	sugrrants-package
Lay out panels in a calendar format	FacetCalendar facet_calendar
Rearrange a temporal data frame to a calendar-based data format using linear algebra	frame_calendar prettify
Autocorrelation for temporal data	GeomAcf geom_acf
Pedestrian counts in Melbourne city	hourly_peds
Autocorrelation for temporal data	stat_acf