Package index • reiod

Demographic group

The eight-category age and sex variable every cut-off is scaled by. Required by all the metric functions.

eiod_age_sex_group(): Build the eight-category age and sex demographic group
eiod_as_sex_factor(): Convert a sex variable to the recommended factor form

The three metric families from the methods paper.

eiod_absolute_threshold(): Absolute threshold metric (Table 3)
eiod_relative_band(): Relative benchmark metric (Tables 4a-4g)
eiod_absolute_all(): All absolute threshold metrics at once (Table 3)
eiod_relative_all(): All relative benchmark metrics at once (Tables 4a-4g)
eiod_hesd(): Healthy and Environmentally Sustainable Diet, HESD (Table 5a)
eiod_hdlei(): Healthy Diet with Low Environmental Impacts, HDLEI (Table 5b)

The individual criteria behind the composite metrics, exported so each can be reported on its own.

Run these before computing anything. They report rather than stop, so one pass finds every problem.

eiod_check_data() print(<eiod_check>) summary(<eiod_check>): Check a dataset before computing any metric
eiod_check_impact(): Check an environmental impact variable
eiod_check_precision(): Check the numerical precision of an impact variable
eiod_check_magnitude(): Check the magnitude of an impact variable against the global reference
eiod_check_demographics(): Check the age and sex variables
eiod_check_gdqs(): Check the Global Diet Quality Score variable

eiod_list_indicators(): List the seven environmental impact indicators
eiod_lookup_cutoff() print(<eiod_cutoff>) Ops(<eiod_cutoff>): Look up a published cut-off value

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

reiod-package reiod: reiod: Dietary Environmental Impact Metrics from the Intake EIOD Framework