Home » Topics » General » Weithted analysis in R
| Weithted analysis in R [message #29696] |
Tue, 23 July 2024 10:22  |
Mahir
Messages: 12
Registered: September 2023
|
Member |
|
|
Dear DHS team,
I have one more question regarding analysis of data using sampling weights.
I am using weighted data for analysis in R. I use r and I am using tbl_svysummary() in R to generate weighted table, how ever after accounting for weight using the following formula I get a weird error
library(survey)
tb1<-svydesign(ids = ~v021,weights = ~wt,data = tb_data, strata = ~v022, nest= T) %>%
tbl_svysummary(include = c(age,v025,WI),statistic = list(all_continuous() ~"{mean} ({sd})",all_categorical() ~ "{n} ({p}%)"), digits = all_continuous() ~ 2, label = c(age~"Age",v025~"Residence",WI~"Wealth Index"))
I am running this command and I have checked the syntax is ture. However I encounter the following error:
"Warning message:
There were 2 warnings in `mutate()`.
The first warning was:
ℹ In argument: `df_stats = pmap(...)`.
Caused by warning in `svymean.survey.design2()`:
! Sample size greater than population size: are weights correctly scaled?
I am using the DHS_Benin data and I will do the same for seven other counties (Cameroon, Cote d'Ivoire, Ghana, Kenya, liberia, Nigeria and Uganda). Could you help me with this, it would be a big help. I have posted the question on DHS user forum already. Thank you!
Best
Mahir
|
|
|
|
Current Time: Fri Oct 31 06:25:38 Coordinated Universal Time 2025
|
Members
Search
Help
Register
Login
Home
