Package: reiod 0.1.0

Nicholus Tint Zaw

reiod: Dietary Environmental Impact Metrics from the Intake EIOD Framework

Calculates the dietary environmental impact metrics defined in Intake's Environmental Impacts of Foods methods paper: absolute threshold metrics against per capita planetary boundary shares, relative benchmark metrics against a fixed global reference distribution, and the two composite metrics that combine diet quality with environmental impact. Cut-offs are age- and sex-specific. The package does not contain the Environmental Impacts of Foods database itself; it applies the published metric cut-offs to impact values the user has already derived. Includes a data quality check suite covering variable type, plausibility, numerical precision and unit magnitude.

Authors:Nicholus Tint Zaw [aut, cre]

reiod_0.1.0.tar.gz
reiod_0.1.0.zip(r-4.7-any)reiod_0.1.0.zip(r-4.6-any)reiod_0.1.0.zip(r-4.5-any)
reiod_0.1.0.tgz(r-4.6-any)reiod_0.1.0.tgz(r-4.5-any)
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reiod_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
reiod/json (API)

# Install 'reiod' in R:
install.packages('reiod', repos = c('https://ropensci-staging.r-universe.dev', 'https://cloud.r-project.org'))

Reviews:rOpenSci Software Review #()

Bug tracker:https://github.com/nicholustintzaw/reiod/issues

Pkgdown/docs site:https://nicholustintzaw.github.io

Datasets:
  • eiod_cutoffs - Published cut-offs for every dietary environmental impact metric
  • eiod_demo - Synthetic respondent-day data for examples
  • eiod_demo_map - Indicator keys mapped to the demonstration data's column names
  • eiod_indicators - The seven environmental impact indicators

On CRAN:

Conda:

4.26 score 19 exports 0 dependencies

Last updated from:dcd76d72c5. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develOK105
pkgdown docsOK191
source / vignettesOK192
linux-releaseOK103
macos-releaseOK127
macos-oldrelOK98
windows-develOK68
windows-releaseOK64
windows-oldrelOK71
wasm-releaseOK76

Exports:eiod_absolute_alleiod_absolute_thresholdeiod_age_sex_groupeiod_as_sex_factoreiod_check_dataeiod_check_demographicseiod_check_gdqseiod_check_impacteiod_check_magnitudeeiod_check_precisioneiod_hdleieiod_healthy_dieteiod_hesdeiod_list_indicatorseiod_lookup_cutoffeiod_low_impacteiod_relative_alleiod_relative_bandeiod_sustainable_diet

Dependencies:

Tables 4a–4g — relative benchmarks
Part 1 — Using it | A. One value | B. One vector (a column from your data) | C. Adding the result as a new column | D. Several indicators in one call | E. Only the indicators you have | Part 2 — What the bands actually mean | The reference distribution is external and fixed | Why quantile() is the wrong tool | How the bands are defined | Reporting | A caution on that mean | The limitation the paper states about itself | And the thing worth repeating | See also
Rendered fromtable4-relative.Rmdusingknitr::rmarkdown

Last update: 2026-10-27
Started: 2026-10-23

Check your data first
The one check that is automatic, and the many that are not | The one call that runs them all | The two checks worth understanding | Unit magnitude | Precision | The recommended pre-flight block | What the checks cannot do | See also
Rendered fromdata-checks.Rmdusingknitr::rmarkdown

Last update: 2026-10-27
Started: 2026-10-23

Troubleshooting: fixing a broken dataset
The data | Run the checks first | Fault 1 — biodiversity imported as text | Fault 2 — greenhouse gases in the wrong unit | Fault 3 — sex coded 0/1 with no labels | Fault 4 — water rounded to four significant digits | Fault 5 — arable land stored as an integer | Re-run the checks | Now compute the metrics | A reusable pattern | Error messages you may hit | What the checks do not do | The one you have to handle yourself: incomplete EIOF coverage
Rendered fromtroubleshooting.Rmdusingknitr::rmarkdown

Last update: 2026-10-27
Started: 2026-10-02

Table 3 — absolute thresholds
A. One value | B. One vector (a column from your data) | The indicator key and your column name are different things | C. Adding the result as a new column | D. Several indicators in one call | E. Only the indicators you have | Which number was each respondent compared against? | Two cautions specific to this table | See also
Rendered fromtable3-absolute.Rmdusingknitr::rmarkdown

Last update: 2026-10-26
Started: 2026-10-23

Getting started with reiod
What EIOF is | What reiod is — and is not | A first run, start to finish | What is in the package | The seven indicators, and their units | The cut-offs | Table 3 — one absolute threshold per group | Tables 4a–4g — nine decile cut-points per group | Tables 5a and 5b — no new cut-offs | Eight values differ from the published PDF | Survey weights | Where to go next
Rendered fromreiod.Rmdusingknitr::rmarkdown

Last update: 2026-10-26
Started: 2026-10-14

Demographic groups
Adding it to your data frame | Which type should sex be? | A note on the age boundaries | Checking it before you rely on it | See also
Rendered fromdemographic-groups.Rmdusingknitr::rmarkdown

Last update: 2026-10-23
Started: 2026-10-23

Tables 5a & 5b — composite metrics
A. One respondent | B. Vectors from your data | C. The two criteria separately | D. Adding both to a data frame | The thing to know before reporting these: HDLEI is nested inside HESD | Only one indicator is involved | See also
Rendered fromtable5-composites.Rmdusingknitr::rmarkdown

Last update: 2026-10-23
Started: 2026-10-23

Eutrophication: a corrected cut-off, and why it matters
What you need to know | The eight corrected thresholds | The quantity did not change, only the unit | What this means for your code | How the problem was found | Checking the current state yourself | See also
Rendered fromeutrophication.Rmdusingknitr::rmarkdown

Last update: 2026-10-23
Started: 2026-10-15

Check precision before you compute anything
The worry, and why it is the wrong one | What actually destroys impact data | The one that was measured | The two checks | 1. How many digits does the column actually retain? | 2. Does it matter here? | The recommended pre-flight block | What the check cannot do | See also
Rendered fromprecision.Rmdusingknitr::rmarkdown

Last update: 2026-10-15
Started: 2026-10-14

Readme and manuals

Help Manual

Help pageTopics
All absolute threshold metrics at once (Table 3)eiod_absolute_all
Absolute threshold metric (Table 3)eiod_absolute_threshold
Build the eight-category age and sex demographic groupeiod_age_sex_group
Convert a sex variable to the recommended factor formeiod_as_sex_factor
Check a dataset before computing any metriceiod_check_data print.eiod_check summary.eiod_check
Check the age and sex variableseiod_check_demographics
Check the Global Diet Quality Score variableeiod_check_gdqs
Check an environmental impact variableeiod_check_impact
Check the magnitude of an impact variable against the global referenceeiod_check_magnitude
Check the numerical precision of an impact variableeiod_check_precision
Published cut-offs for every dietary environmental impact metriceiod_cutoffs
Synthetic respondent-day data for exampleseiod_demo
Indicator keys mapped to the demonstration data's column nameseiod_demo_map
Healthy Diet with Low Environmental Impacts, HDLEI (Table 5b)eiod_hdlei
Healthy diet criterioneiod_healthy_diet
Healthy and Environmentally Sustainable Diet, HESD (Table 5a)eiod_hesd
The seven environmental impact indicatorseiod_indicators
List the seven environmental impact indicatorseiod_list_indicators
Look up a published cut-off valueeiod_lookup_cutoff Ops.eiod_cutoff print.eiod_cutoff
Low environmental impact criterioneiod_low_impact
All relative benchmark metrics at once (Tables 4a-4g)eiod_relative_all
Relative benchmark metric (Tables 4a-4g)eiod_relative_band
Environmentally sustainable diet criterioneiod_sustainable_diet