Help creating the R code for minaret dataset

I need help with the tasks and can't get any further with writing code. Can you help me?

Install and load packages

  1. Think about ways to group the cantons into fewer (say, 2 to 7) politico-culturally homogeneous regions (note that there is no one correct solution here). Explain your choice.

In this step, I define three regions that are politically and culturally homogeneous. I can do this on the basis of geographical proximity and cultural similarities. In this case, I have chosen the following regions:

Region 1: Zurich, Bern, Basel-Stadt, Aargau, Solothurn, Lucerne

Region 2: GraubĂĽnden, St. Gallen, Thurgau, Schaffhausen, Appenzell Innerrhoden, Appenzell Ausserrhoden

Region 3: Valais, Ticino, Unterwalden, Jura, Neuchâtel, Vaud

region_map <- data.frame(
  canton_id = c(1:20),
  region_id = c(rep("Region 1", 6), rep("Region 2", 8), rep("Region 3", 6))
  1. Recode canton_id into a new variable region_id according to your scheme. Sort minaret frame by region_id (this is a necessary for the sampling functions to work properly!)

2. Recode canton_id into region_id

minaret_region <- merge(minaret, region_map, by = "canton_id")
minaret_region <- arrange(minaret_region, region_id)

3. Use `region_id` as a stratification variable. Draw a sample of size $n=1000$, allocate the sample to the strata proportional to their size (look up the code in our previous Rmd file on Sampling).

```{r, message=FALSE}
set.seed(123)  # Set seed for reproducibility
sample_size <- 1000

sample_data <- minaret %>%
  group_by(region_id) %>%
  sample_n(size = floor(prop.table(table(region_id)) * sample_size))

# Display the first few rows of the stratified sample

Error in group_by():
! Must group by variables found in .data.
:heavy_multiplication_x: Column region_id is not found.

  1. minaret %>% group_by(region_id) %>% ...

  2., region_id)
    Fehler in group_by(., region_id) :
    :heavy_multiplication_x: Column region_id is not found.

  3. Specify a svydesign object

  4. Estimate the population share of yes votes in the initiative.

  5. Estimate the design effect, interpret the design effect in terms of the effective sample size.

You have put region_id into minaret_region, not into minerat.

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