It seems like you’re trying to create a sample strata in R for a stratified sampling design. You can use the strata() function from the surveys package, which is part of the SurveyDesign suite.

Here’s an example of how you could achieve this:

# Install and load required packages
install.packages("SurveyDesign")
library(SurveyDesign)

# Create a data frame with the strata information
df <- data.frame(
  cod_jer = vacantes$cod_jer,
  grupo_fict = vacantes$grupo_fict,
  vacancy = vacantes[, c("vac1", "vac2", "vac3", "vac4", "vac5", "vac6", "vac7", "vac8")]
)

# Create a sample strata
s <- strata(per, data = df, 
            method = "srswor")

# Print the resulting sample strata
print(s)

In this example:

• We first create a data frame df that contains the cod_jer, grupo_fict, and vacancy information from your vacantes dataset.
• We then use the strata() function to create a sample strata. The per argument specifies the probability of selection for each unit in the population, which is assumed to be known. You can replace this with an estimated proportion if you don’t have prior knowledge of the probabilities.
• The data argument specifies the data frame that contains the strata information.
• The method argument specifies the sampling method to use; in this case, we’re using stratified random sampling ("srswor").

By following these steps, you should be able to create a sample strata for your stratified sampling design.

Last modified on 2024-06-25