Using the srvyr package and replicate weights REPWT, I would like to calculate the standard error and margin of error of the proportion (p) of households (HHWT) in the dataframe "data" that are paying over housing tax credit level rents, this is denoted in the dataframe by a "1" in the field OVERLIHTC. I'm able to get as far as shown below, but I don't know how to finish the code and print the results. Ideas?
p <- sum(data$HHWT[data$OVERLIHTC == 1]) / sum(data$HHWT)
svy <- as_survey(data, weight = HHWT , repweights = matches("REPWT[0-9]+"), type = "JK1", scale = 4/ 80 , rscales = rep(1, 80 ), mse = TRUE)
sub_design <- subset(svy, OverLIHTC == 1 )
hi, the instructions on this page hopefully allow you to create a survey design and run the most common analysis commands.. the latter section also includes the `srvyr` conversion in case you'd like to work with dplyr syntax. hope this helps :-)
https://asdfree.com/american-community-survey-acs.html#analysis-examples-with-srvyr