get_mdd: Determining Minimum Acceptable Diet

In nutriverse/riycf: Utilities for Calculating Infant and Young Child Feeding Indicators

Determining Minimum Acceptable Diet

Description

Identification of individual 6-23 months old children minimum acceptable diet based on their breastfeeding status

Identification of individual 6-23 months old children dietary practices meet the minimum requirement of dietary diversity (at least 5 food group out of 8 food groups)

Usage

get_mad(age, q4, mdd, mmf, mmff)

get_mdd(food_score, age)

Arguments

age	This parameter holds the information about child age in the month format.
q4	The binary variable which mentions that the child was receiving breastfeeding in the previous day (yes = "1", no = "0").
mdd	The binary variable which holds whether the child received the minimum dietary diversity or not (yes = "1", no = "0").
mmf	The binary variable which indicates that the child got minimum meal frequency ("1") or not ("0").
mmff	This parameter is about the non-breastfed children received minimum milk feeding frequency or not (yes = "1", no = "0").
food_score	the integer variable with continuous scale which indicates the number of food groups the child consumed in previous day

Value

binary variable indicate child get the minimum acceptable diet (mad =1 ) or not (mad = 0)

binary variables indicate child get the minimum dietary diversity (mdd = 1 ) or not (mdd = 0)

Author(s)

Nicholus Tint Zaw

Examples

  df <- iycfData
  df$mdd <- rbinom(n = nrow(df), size = 1, prob = 0.5)
  df$mmf <- rbinom(n = nrow(df), size = 1, prob = 0.5)
  df$mmff <- rbinom(n = nrow(df), size = 1, prob = 0.5)

  mad <- get_mad(df$calc_age_months, df$child_bfyest, df$mdd, df$mmf, df$mmff)



# Minimum Dietary Diversity
  df <- iycfData

  df$food_score <- round(runif(nrow(df), min = 0, max = 8), 0)

  mdd <- get_mdd(df$food_score, df$calc_age_months)

nutriverse/riycf documentation built on Feb. 8, 2025, 8:32 p.m.