This function calculates the MSNI score, determines if households are in need or acute need, counts the number of sectoral needs, and creates a sectoral needs profile.
Prerequisite functions:
add_comp_edu.R
add_comp_foodsec.R
add_comp_health.R
add_comp_prot.R
add_comp_snfi.R
add_comp_wash.R
Usage
add_msni(
df,
comp_foodsec_score = "comp_foodsec_score",
comp_snfi_score = "comp_snfi_score",
comp_wash_score = "comp_wash_score",
comp_prot_score = "comp_prot_score",
comp_health_score = "comp_health_score",
comp_edu_score = "comp_edu_score",
comp_foodsec_in_need = "comp_foodsec_in_need",
comp_snfi_in_need = "comp_snfi_in_need",
comp_wash_in_need = "comp_wash_in_need",
comp_prot_in_need = "comp_prot_in_need",
comp_health_in_need = "comp_health_in_need",
comp_edu_in_need = "comp_edu_in_need"
)Arguments
- df
A data frame containing sectoral composite scores and in-need indicators.
- comp_foodsec_score
Column name for the food security composite score.
- comp_snfi_score
Column name for the SNFI composite score.
- comp_wash_score
Column name for the WASH composite score.
- comp_prot_score
Column name for the protection composite score.
- comp_health_score
Column name for the health composite score.
- comp_edu_score
Column name for the education composite score.
- comp_foodsec_in_need
Column name for food security in need.
- comp_snfi_in_need
Column name for SNFI in need.
- comp_wash_in_need
Column name for WASH in need.
- comp_prot_in_need
Column name for protection in need.
- comp_health_in_need
Column name for health in need.
- comp_edu_in_need
Column name for education in need.
Value
A data frame with 5 new columns:
msni_score: The Multi-Sectoral Needs Index score.
msni_in_need: Binary indicator for households in need.
msni_in_acute_need: Binary indicator for households in acute need.
sector_in_need_n: Number of sectoral needs identified.
sector_needs_profile: Profile of sectoral needs identified (NA if no sectoral need is identified).