The DHS Program User Forum: General » Weithted analysis in R

Home » Topics » General » Weithted analysis in R

Show: Today's Messages :: Show Polls :: Message Navigator

Re: Weithted analysis in R [message #29787 is a reply to message #29723]

Mon, 05 August 2024 09:29

Mahir
Messages: 12
Registered: September 2023

Member

Dear DHS team,

Thank you for your response.

Using the method you suggested removed the warning but the new scaled weight varialbe I created is actually in four digits for each observation. I have values of wt_scaled like (4061.151, 3859.654 etc). Is this normal or should I divide this by 1000?

Additionally when I create the table using tbl_svysummary() the overall sample size of the data increases exponentially. I am using Benin 2018 DHS KR data and the number of obersation increase from 3937 to total population that I have used for scaling the weight (14.080.072).

What should I do in this case?

Best
Mahir

Report message to a moderator

[Message index]

		Weithted analysis in R By: Mahir on Tue, 23 July 2024 10:22
		Re: Weithted analysis in R By: Janet-DHS on Fri, 26 July 2024 14:57
		Re: Weithted analysis in R By: Mahir on Mon, 05 August 2024 09:29
		Re: Weithted analysis in R By: Janet-DHS on Wed, 07 August 2024 12:54
		Re: Weithted analysis in R By: Mahir on Thu, 08 August 2024 09:29
		Re: Weithted analysis in R By: Bridgette-DHS on Fri, 09 August 2024 09:35
		Re: Weithted analysis in R By: Mahir on Wed, 14 August 2024 10:33
		Re: Weithted analysis in R By: Bridgette-DHS on Thu, 15 August 2024 10:09

Previous Topic:	Clarification on v511 in IR
Next Topic:	WEIGHTS AFTER DROP OUTS

Goto Forum:

-=] Back to Top [=-

[ Syndicate this forum (XML) ] [

] [

]

Current Time: Sun Dec 14 19:57:50 Coordinated Universal Time 2025