Detect the substantive concept a column measures — data_col

A content classifier for the concept facet (what the column measures), independent of how it is stored or its measurement level. Uses name+value agreement like data_check_demographic(), which it wraps for the demographic concepts. Rules-only and deterministic; concepts under cryptic names are left NA for the LLM tier in data_check to fill.

Usage

data_col_concept(col_name, x)

Arguments

col_name: the column's name
x: the column's values

Value

one of "reaction_time", "accuracy", "condition", "age", "gender", "race", "timestamp", or NA_character_. (id, date and likert concepts are assigned by data_col_facets() from the role / representation / measurement level, not here.)

Examples

data_col_concept("rt", c(512, 640, 498))
#> [1] "reaction_time"
data_col_concept("gender", c("male", "female", "female"))
#> [1] "gender"