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regions: Processing Regional Statistics

Validating sub-national statistical typologies, re-coding across standard typologies of sub-national statistics, and making valid aggregate level imputation, re-aggregation, re-weighting and projection down to lower hierarchical levels to create meaningful data panels and time series.

Version:0.1.8
Depends:R (≥ 2.10)
Imports:dplyr,magrittr,countrycode,tidyselect, utils,purrr,rlang,glue, stats,tidyr,readxl,stringr,assertthat,tibble,here
Suggests:knitr,testthat,rmarkdown,covr,spelling,devtools,eurostat,ggplot2
Published:2021-06-21
DOI:10.32614/CRAN.package.regions
Author:Daniel AntalORCID iD [aut, cre], Kasia KulmaORCID iD [ctb], Istvan ZsoldosORCID iD [ctb], Leo LahtiORCID iD [ctb]
Maintainer:Daniel Antal <daniel.antal at ceemid.eu>
BugReports:https://github.com/rOpenGov/regions
License:GPL-3
URL:https://regions.dataobservatory.eu/
NeedsCompilation:no
Language:en-US
Materials:README,NEWS
In views:OfficialStatistics
CRAN checks:regions results

Documentation:

Reference manual:regions.html ,regions.pdf
Vignettes:Working With Regional, Sub-National Statistical Products (source,R code)
Mapping Regional Data, Mapping Metadata Problems (source,R code)
Recoding & Relabelling (source,R code)
Validating Your Typology (source,R code)

Downloads:

Package source: regions_0.1.8.tar.gz
Windows binaries: r-devel:regions_0.1.8.zip, r-release:regions_0.1.8.zip, r-oldrel:regions_0.1.8.zip
macOS binaries: r-release (arm64):regions_0.1.8.tgz, r-oldrel (arm64):regions_0.1.8.tgz, r-release (x86_64):regions_0.1.8.tgz, r-oldrel (x86_64):regions_0.1.8.tgz
Old sources: regions archive

Reverse dependencies:

Reverse imports:eurostat

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=regionsto link to this page.


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