Classify the conformity of the UNE-EN 689 preliminary assessment

From the exposure indices (IE) of all the days evaluated, determines whether exposure is conforming, non-conforming, or whether no decision can be made without further measurements, following the criteria of the UNE-EN 689 preliminary assessment.

Usage

une689_classify_conformity(ie)

Arguments

ie

Numeric vector. Exposure indices, one per day (see une689_exposure_index()). NA values (days without enough data) are ignored.

Value

Character scalar: .t("une689_conformity") if all IE values are below 0.1; .t("une689_no_conformity") if any IE is above 1; .t("une689_no_decision") if any IE is between 0.1 and 1 (both inclusive) and none exceeds 1. Returns NA_character_ if there is no valid IE at all (not enough data to classify).

Correction relative to the original app

In the original Shiny app, if all days had IE = NA (due to missing data), the check all(IEs < 0.1, na.rm = TRUE) returned TRUE (because all() over an empty vector is TRUE in R), and the result was incorrectly reported as .t("une689_conformity") with no actual data. This function fixes that case by returning NA_character_ (not enough data) instead of a false conformity. This change is flagged here because, unlike the INRS points, it was applied without prior confirmation: reporting "conformity" with no data is a safety flaw, not a methodological judgement call.

Examples

une689_classify_conformity(c(0.02))
#> [1] "CONFORMITY"
une689_classify_conformity(c(1, 0.9, 0.56))
#> [1] "NO DECISION"
une689_classify_conformity(c(1.2, 0.05))
#> [1] "NON-CONFORMITY"