set.seed(42)
n <- 200
men <- data.frame(
nutr = rbinom(n,1,0.35), elec = rbinom(n,1,0.6),
eau = rbinom(n,1,0.4), scol = rbinom(n,1,0.3),
mort = rbinom(n,1,0.12), comb = rbinom(n,1,0.5),
poids = runif(n,0.8,1.3)
)
ipm_g <- calcul_ipm(men, var_nutrition="nutr",
var_electricite="elec", var_eau="eau",
var_scolarisation="scol", var_mortalite_inf="mort",
var_combustible="comb", poids="poids")
ipm_n <- calcul_ipm_national(men,
indicateurs=list(
eau = list(var="eau", poids=0.4, dimension="Vie"),
elec = list(var="elec", poids=0.35, dimension="Vie"),
scol = list(var="scol", poids=0.25, dimension="Education")
), poids="poids")
comparer_ipm(ipm_g, ipm_n, pays="Centrafrique", annee=2026L)
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