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Add overall Protection composite score and need flags

Source: R/add_comp_prot.R
add_comp_prot.Rd

Assumes that per‑dimension severity scores have already been computed and added to df by earlier functions: add_prot_score_movement(), add_prot_score_practices(), and add_prot_score_rights(). This function performs only Step 4 of the 2025 Protection Composite workflow: it takes the maximum of those three existing columns to create comp_prot_score, then generates binary “in need” indicators.

Usage

add_comp_prot(df)

Arguments

df

A data.frame or tibble containing numeric columns:

  • comp_prot_score_movement – severity for movement dimension

  • comp_prot_score_practices – severity for practices dimension

  • comp_prot_score_rights – severity for rights & services dimension

If any of these three columns are missing, the function will abort, reminding you to run the corresponding prep functions first.

Value

The input df, with three new columns:

  • comp_prot_score – overall protection severity (maximum of the three dimensions)

  • comp_prot_in_need – binary (0/1): 1 if comp_prot_score >= 3, else 0

  • comp_prot_in_severe_need – binary (0/1): 1 if comp_prot_score >= 4, else 0

Details

  • Column checks via purrr::iwalk() ensure the three dimension scores exist.

  • Computation uses pmax() (with na.rm = FALSE)

  • Thresholds (3 for “in need”, 4 for “severe need”) are currently hard‑coded.