The DHS Program User Forum
Discussions regarding The DHS Program data and results
Home » Topics » Nutrition and Anthropometry » Can't get exact match between one regional calculation and reported stunting value (Stunting of children under 5)
Can't get exact match between one regional calculation and reported stunting value [message #18225] Thu, 17 October 2019 12:38 Go to previous message
dhsLearner is currently offline  dhsLearner
Messages: 4
Registered: October 2019
Member
I am trying to calculate childhood (under 5) stunting rates by region in Senegal in 2012. For one region, I am getting a different result than what it is reported in the Senegal sumary report. Here is my R code:

#read in data
PR2012<-fread("..\\dhs\\dataForR\\continuousSurvey2012\\SNPR6DFL.csv ")

# Create a binary variable for children stunted
PR2012$stuntedUnderFive<-ifelse(PR2012$hc70< -200, 1, 0)
# Assign NA when z score is >9900 sd (NA) #9998 are don't know responses
PR2012$stuntedUnderFive<-ifelse(PR2012$hc70>9900|
PR2012$hc1> 59, NA, PR2012$stuntedUnderFive)

# Create weight variable
PR2012$wt<-PR2012$hv005/1000000

# Tabluate stunted by region
PR2012%>%
group_by(shzone)%>% #shzone is the four regions (north, east, south west)
summarize(meanStunting = weighted.mean(stuntedUnderFive,wt,na.rm = T))

Results:

1 centre 0.190
2 nord 0.168
3 ouest 0.145
4 sud 0.266

I calculate West (ouest) as 14.5%, but it is reported as 14.7% in the summary (https://dhsprogram.com/pubs/pdf/FR288/FR288eng.pdf).

Can anyone help me figure out what I am doing incorrectly?
 
Read Message
Read Message
Read Message
Previous Topic: Anthropometric data for children Turkey 2008 and 2013
Next Topic: 'Don't know' in exclusive breastfeeding
Goto Forum:
  


Current Time: Fri Apr 12 10:07:34 Coordinated Universal Time 2024