{"Package":"iotables","Type":"Package","Title":"Reproducible Input-Output Economics Analysis, Economic and\nEnvironmental Impact Assessment with Empirical Data","Date":"2024-01-08","Version":"0.9.3","Authors@R":"c(person(\"Daniel\", \"Antal\", role = c(\"aut\", \"cre\"),\nemail = \"daniel.antal@dataobservatory.eu\",\ncomment = c(ORCID = \"0000-0001-7513-6760\")),\nperson(given = \"Kasia\",\nfamily = \"Kulma\",\nrole = \"ctb\",\ncomment = c(ORCID = \"0000-0002-2952-9720\")),\nperson(given = \"Pyry\",\nfamily = \"Kantanen\",\nrole = \"ctb\",\ncomment = c(ORCID = \"0000-0003-2853-2765\"))\n)","Maintainer":"Daniel Antal ","Description":"Pre-processing and basic analytical tasks related to working\nwith Eurostat's symmetric input-output tables and provide basic\ninput-output economics calculations. The package is part of rOpenGov\n to open source open government initiatives.","URL":"https://iotables.dataobservatory.eu/","BugReports":"https://github.com/rOpenGov/iotables/issues","License":"MIT + file LICENSE","Encoding":"UTF-8","LazyData":"true","RoxygenNote":"7.2.3","Imports":"dplyr, eurostat, magrittr, tidyr, forcats, utils, plyr,\nlubridate, knitr, kableExtra, tibble, readxl, assertthat, glue,\ntidyselect, rlang","Suggests":"testthat, rmarkdown, spelling, covr, roxyglobals","Depends":"R(>= 3.5.0)","VignetteBuilder":"knitr","Language":"en-US","Config/roxyglobals/filename":"globals.R","Config/roxyglobals/unique":"FALSE","NeedsCompilation":"no","Packaged":"2024-01-08 13:06:15 UTC; antal","Author":"Daniel Antal [aut, cre] (),\nKasia Kulma [ctb] (),\nPyry Kantanen [ctb] ()","Repository":"CRAN","Date/Publication":"2024-01-08 20:10:02 UTC","repoType":"cran","tarballUrl":"ftp://cran.r-project.org/pub/R/src/contrib/iotables_0.9.3.tar.gz","jsonAuthors":[{"name":"Daniel Antal","email":"daniel.antal@dataobservatory.eu","maintainer":true},{"name":"Kasia Kulma","email":null,"maintainer":false},{"name":"Pyry Kantanen","email":null,"maintainer":false}],"readme":"\n\n# iotables

\n\n\n\n![iotables](man/figures/logo20.png)\n[![rOG-badge](https://ropengov.github.io/rogtemplate/reference/figures/ropengov-badge.svg)](https://ropengov.org/)\n[![packageversion](https://img.shields.io/badge/Package%20version-0.9.3-orange.svg?style=flat-square)](https://github.com/rOpenGov/iotables/commits/master)\n[![Project Status:\nActive](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active)\n[![R-CMD-check](https://github.com/rOpenGov/iotables/workflows/R-CMD-check/badge.svg)](https://github.com/rOpenGov/iotables/actions)\n[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/iotables)](https://cran.r-project.org/package=iotables)\n[![CRAN_time_from_release](https://www.r-pkg.org/badges/ago/iotables)](https://cran.r-project.org/package=iotables)\n[![metacran\ndownloads](https://cranlogs.r-pkg.org/badges/iotables)](https://cran.r-project.org/package=iotables)\n[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5887037.svg)](https://doi.org/10.5281/zenodo.5887037)\n[![license](https://img.shields.io/badge/license-MIT%20+%20file%20LICENSE-lightgrey.svg)](https://choosealicense.com/)\n[![codecov](https://codecov.io/gh/rOpenGov/iotables/branch/master/graph/badge.svg)](https://app.codecov.io/gh/rOpenGov/iotables)\n[![AppVeyor build\nstatus](https://ci.appveyor.com/api/projects/status/github/rOpenGov/iotables?branch=master&svg=true)](https://ci.appveyor.com/project/rOpenGov/iotables)\n[![dataobservatory](https://img.shields.io/badge/ecosystem-dataobservatory.eu-3EA135.svg)](https://dataobservatory.eu/)\n\nThe symmetric input-output tables (SIOTs) are complex statistical\nproducts that present inter-related statistics in a predefined\nstructure. They are often found in spreadsheets that follow this\nstructure or, in the case of Eurostat, in a data repository. In both\ncases in, reproducible research must be downloaded and restructured to a\nprogrammatically accessible form. Often, these highly structured\nstatistics need to be analysed together with other data, for example,\nwhen calculating employment effects and multipliers. In this case,\nprocessing the employment data to SIOT conforming format is a\nsignificant preprocessing challenge.\n\nThe iotables are exactly designed for these tasks. Currently, the\npackage downloads and processes standardized European SIOTs conforming\nto the latest statistical regulations, i.e. SIOTs starting from 2010.\n\nThe aim of this introduction is not to introduce input-output economics,\nor SIOTs in detail. The [Eurostat Manual of Supply, Use and Input-Output\nTables](https://ec.europa.eu/eurostat/en/web/products-manuals-and-guidelines/-/KS-RA-07-013)\nand the [Eurostat thematic\npage](https://ec.europa.eu/eurostat/web/esa-supply-use-input-tables/overview)\n(for further reference: `Eurostat Manual`) in the documentation should\nbe consulted for further information about the data and the metadata.\n\nTo test the analytical functions of the package and to have a\nmanageable-sized example data set, we use real-life data from the\nEurostat manual. The `germany_1995` dataset is a simplified 6x6 sized\nSIOT was taken from the `Eurostat Manual` (`p481`). The package function\nexamples can be checked against [published results from Jörg\nBeutel](https://ec.europa.eu/eurostat/documents/3859598/5902113/KS-RA-07-013-EN.PDF/b0b3d71e-3930-4442-94be-70b36cea9b39?version=1.0).\nThese calculations can be followed in the [Introduction to\niotables](https://iotables.dataobservatory.eu/articles/intro.html)\nvignette.\n\nThe calculation of induced effects (Type-II multipliers) are following\nthe [Input-Output Multipliers Specification Sheet and Supporting\nMaterial, Spicosa Project\nReport](https://web.archive.org/web/20220331124544/www.coastal-saf.eu/output-step/pdf/Specification%20sheet%20I_O_final.pdf).\nThe analytical functions are tested against this example, too.\n\n## Installation\n\nYou can install iotables 0.9 from CRAN or the latest 0.9.1 development\nversion with github:\n\n``` r\n# From CRAN:\ninstall.packages(\"iotables\")\n\n# From Github (development version)\ndevtools::install_github(\"rOpenGov/iotables\")\n\n#with vignettes:\n#devtools::install_github(\"rOpenGov/iotables\", build_vignettes = TRUE)\n```\n\nSee also a long-form documentation (publication candidate) [iotables: an\nR Package for Reproducible Input-Output Economics Analysis, Economic and\nEnvironmental Impact Assessment with Empirical\nData](https://zenodo.org/record/5887038#.Ye2ovv7MLIU) on Zenodo.\n\n## Vignettes\n\nThe [Introduction to\niotables](https://iotables.dataobservatory.eu/articles/intro.html)\nvignette presents most of the examples of the [Eurostat Manual of\nSupply, Use and Input-Output\nTables](https://ec.europa.eu/eurostat/documents/3859598/5902113/KS-RA-07-013-EN.PDF/b0b3d71e-3930-4442-94be-70b36cea9b39?version=1.0)\n(Eurostat Manual, Chapter 15.) This is a good introduction to understand\nwhat will the functions do, and to check that they work correctly. From\n0.9.9 it extended with the replication results from the [Handbook on\nSupply and Use Tables and Input-Output Tables with Extensions and\nApplications](https://unstats.un.org/unsd/nationalaccount/docs/SUT_IOT_HB_Final_Cover.pdf)\npublished by the United Nations.\n\nThe `testthat` infrastructure of the package checks the proper working\nof the functions against the published results from the\n`Eurostat Manual`.\n\nThe [Working with Eurostat\nData](https://iotables.dataobservatory.eu/articles/working_with_eurostat.html)\nvignette shows how you can download, pre-process and use real data from\nEurostat.\n\nThe [United Kingdom Input-Output Analytical Tables\n2010](https://webarchive.nationalarchives.gov.uk/20160114044923/http://www.ons.gov.uk/ons/rel/input-output/input-output-analytical-tables/2010/index.html)\nare used for testing the `iotables` package, because they are\nwell-documented and detailed, organized data is available with them.\nThese calculations can be followed in the [United Kingdom Input-Output\nAnalytical\nTables](https://iotables.dataobservatory.eu/articles/united_kingdom_2010.html)\nvignette.\n\n## Acquiring data\n\nEurostat’s data can be downloaded in several tidy, long-form, files, and\na lot of filtering is needed to start working with it.\n\nCurrently the following Eurostat SIOTs can be used:\n\n| Table type | source code |\n|:-------------------------------|:-------------------------------------:|\n| product x product SIOTs | `naio_10_cp1700` or `naio_10_pyp1700` |\n| industry x industry SIOTs | `naio_10_cp1750` or`naio_10_pyp1750` |\n| use tables at basic prices | `naio_10_cp1620` or `naio_10_pyp1610` |\n| trade and transport margins | `naio_10_cp1620` or `naio_10_pyp1620` |\n| net taxes less subsidies | `naio_10_cp1630` or `naio_10_pyp1630` |\n| Supply table at basic prices | `naio_10_cp15` |\n| Use table at purchasers’ price | `naio_10_cp16` |\n\nThe `cp` element refers to basic prices and the `pyp` to previous years’\nprices.\n\n### Contribute\n\nContributions are very welcome:\n\n- [Issue tracker](https://github.com/ropengov/iotables/issues) for\n feedback and bug reports.\n- [Pull requests](https://github.com/ropengov/iotables/)\n- [Github page](https://github.com/ropengov/iotables/)\n\n### Acknowledgements\n\n**Kindly cite this work** as follows:\n\nDaniel Antal. (2022. September 24.) rOpenGov/iotables: Importing and\nManipulating Symmetric Input-Output Tables (Version 0.9.1). Zenodo.\n[https://doi.org/10.5281/zenodo.7109769](https://zenodo.org/record/5153006/)\nfor released version. Development version URL:\n\n\nThanks to [@KKulma](https://github.com/KKulma/) for setting up new and\nimproved continuous integration, and\n[@pitkant](https://github.com/pitkant) for implementing many good\npractices on improving the code. See\n[contributors](https://github.com/ropengov/iotables/graphs/contributors).\nThis project is part of [rOpenGov](https://ropengov.org).\n\n## Code of Conduct\n\nPlease note that the iotables project is released with a [Contributor\nCode of\nConduct](https://contributor-covenant.org/version/2/0/CODE_OF_CONDUCT.html).\nBy contributing to this project, you agree to abide by its terms.","jobInfo":{"package":"iotables","version":"0.9.3","parsingStatus":"success","parserVersion":2,"parsedAt":"2024-01-08T21:30:42+0000"}}

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