Posit Community,

I'm looking for a solution to conduct difference of proportions tests and pairwise difference of proportions tests with survey data. I have an example below the uses `rstatix`

`pairwise_prop_test()`

to give a general sense of what I'm aiming for, but this function won't work since it doesn't account for a complex sample design. The best source I could think of to solve this problem is the `survey`

package, but I did not find a function to perform a difference of proportions test there. Any help would be greatly appreciated.

```
suppressPackageStartupMessages(
suppressWarnings({
library(tidyverse)
library(srvyr)
library(rstatix)
}))
# Minimal example
set.seed(5)
df <- data.frame(gender = rep(c("Female", "Male"), 50 ),
job_type = sample(c("type1", "type2", "type3"), 100, replace = TRUE),
smpl_wts = runif(100),
strat = sample(1:2, 100, replace = TRUE))
# Survey design object
df_design <- df %>%
as_survey_design(weight = smpl_wts,
strata = strat)
# Here is an example using {rstatix} pairwise_prop_test that's in the
# neighborhood of what I'd like to do, but the results are incorrect because
# it does not account for the sample design
df_design %>%
survey_count(gender, job_type) %>%
group_by(job_type) %>%
mutate(type_total = sum(n),
percent_women = ((n/type_total) * 100) %>% round(1)) %>%
select(gender, job_type, n) %>%
pivot_wider(names_from = "gender", values_from = "n") %>%
column_to_rownames("job_type") %>%
pairwise_prop_test(p.adjust.method = "bonferroni")
#> # A tibble: 3 × 5
#> group1 group2 p p.adj p.adj.signif
#> * <chr> <chr> <dbl> <dbl> <chr>
#> 1 type1 type2 0.282 0.846 ns
#> 2 type1 type3 0.854 1 ns
#> 3 type2 type3 0.572 1 ns
```

^{Created on 2024-04-02 with reprex v2.0.2}