Package: UpAndDownPlots 0.5.0

UpAndDownPlots: Displays Percentage and Absolute Changes

Displays percentage changes by height and absolute changes by area for up to three nested or non-nested levels. The plots visualise changes in indices and markets, showing how the changes for sectors or for individual components contribute to the overall change. Data can be classified by up to three levels of grouping variables in a layered, hierarchical plot. Each level can be ordered in several ways including by baseline, by percentage change, and by absolute change. The vignettes give examples.

Authors:Antony Unwin [aut, cre, cph], Bill Venables [ctb]

UpAndDownPlots_0.5.0.tar.gz
UpAndDownPlots_0.5.0.zip(r-4.7)UpAndDownPlots_0.5.0.zip(r-4.6)UpAndDownPlots_0.5.0.zip(r-4.5)
UpAndDownPlots_0.5.0.tgz(r-4.6-any)UpAndDownPlots_0.5.0.tgz(r-4.5-any)
UpAndDownPlots_0.5.0.tar.gz(r-4.7-any)UpAndDownPlots_0.5.0.tar.gz(r-4.6-any)
UpAndDownPlots_0.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
UpAndDownPlots/json (API)

# Install 'UpAndDownPlots' in R:
install.packages('UpAndDownPlots', repos = c('https://impaug.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • AutoSales - Sales of cars and vans in Germany in the years 2017 and 2018.
  • AutoSalesX - Sales of cars and vans in Germany by manufacturer (edited version of AutoSales).
  • CPIuk - Consumer Price Index data for the UK for August 2017 and August 2018.
  • NIpop - Northern Ireland population estimates 2011-2017

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.34 score 11 scripts 210 downloads 5 exports 102 dependencies

Last updated from:32034805da. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK152
source / vignettesOK240
linux-release-x86_64OK164
macos-release-arm64OK84
macos-oldrel-arm64OK109
windows-develOK179
windows-releaseOK105
windows-oldrelOK86
wasm-releaseOK132

Exports:dgroupsort5ud_coloursud_plotud_prep

Dependencies:askpassbackportsbase64encbitbit64blobbroombslibcachemcallrcellrangerclicliprconflictedcpp11crayoncurldata.tableDBIdbplyrdigestdplyrdtplyrevaluatefarverfastmapfontawesomeforcatsfsgarglegenericsggplot2ggthemesgluegoogledrivegooglesheets4gridExtragtablehavenhighrhmshtmltoolshttridsisobandjquerylibjsonliteknitrlabelinglifecyclelubridatemagrittrmemoisemimemodelropensslotelpillarpkgconfigprettyunitsprocessxprogresspspurrrR6raggrappdirsRColorBrewerreadrreadxlrematchrematch2reprexrlangrmarkdownrstudioapirvestS7sassscalesselectrstringistringrsyssystemfontstextshapingtibbletidyrtidyselecttidyversetimechangetinytextzdbutf8uuidvctrsviridisLitevroomwithrxfunxml2yaml

Drawing UpAndDown plots
Introduction | First UpAndDown plots | Plotting more than one level
Rendered fromDrawingUpAndDownPlots.Rmdusingknitr::rmarkdown

Last update: 2024-04-03
Started: 2024-04-03

Preparing data for UpAndDown plots
Data to be displayed | Data difficulties and their resolution | Examples using the reduced AutoSalesX dataset
Rendered fromPreparingDataForUpAndDownPlots.Rmdusingknitr::rmarkdown

Last update: 2024-04-03
Started: 2024-04-03

Nesting, Yes or No?
Introduction | A nested plot | A non-nested plot | Nesting and non-nesting together | Double-nesting -- another possible form
Rendered fromNestingYesOrNo.Rmdusingknitr::rmarkdown

Last update: 2024-04-03
Started: 2024-04-03

Sortings
Introduction | Comparing the five sortings | Keeping track of the percentages
Rendered fromSortings.Rmdusingknitr::rmarkdown

Last update: 2024-04-03
Started: 2024-04-03