# Input dataframes for R2BEAT two-stages sample design when sampling frame is available In case of scenario 1 (no previous round of the survey available), prepares the following input dataframes for R2BEAT two-stages sample design starting from the sampling frame: 1. strata 2. deff 3. effst 4. rho 5. PSU_file 6. des_file ```r prepareInputToAllocation1 ( samp_frame, id_PSU, id_SSU, strata_var, target_vars, deff_var, domain_var, minimum, delta, deff_sugg) ``` ## Arguments - `samp_frame`: The dataframe containing sampling units in the reference population. - `id_PSU`: variables used as identifiers in sampling frame. - `id_SSU`: variables used as identifiers in sampling frame. - `strata_var`: stratification variable used in sampling frame. - `target_vars`: target variables. - `deff_var`: stratification variable to be used when calculating deff. - `domain_var`: the variable used to identify the domain of interest. - `minimum`: minimum number of SSU to be selected from a PSU. - `delta`: average number of analysis units per sampling unit. - `deff_sugg`: suggested value of the deff. ## Returns A list containing (i) the vector of allocated PSUs in the iterations and (ii) the vector of allocated SSUs in the iterations ## Examples ```r ## Not run: library(readr) pop <- read_rds("https://github.com/barcaroli/R2BEAT_workflows/blob/master/pop.RDS?raw=true") library(R2BEAT) # parameters samp_frame <- pop id_PSU <- "municipality" id_SSU <- "id_ind" strata_var <- "stratum" target_vars <- c("income_hh","active","inactive","unemployed") deff_var <- "stratum" domain_var <- "region" minimum <- 50 # minimum number of SSUs to be interviewed in each selected PSU # average dimension of the SSU in terms of elementary survey units # delta = nrow(pop) /length(unique(pop$id_hh)) delta = 1 deff_sugg <- 1.5 # prepare inputs inp <- prepareInputToAllocation1(samp_frame, id_PSU, id_SSU, strata_var, target_vars, deff_var, domain_var, minimum, delta, deff_sugg) ## End(Not run) ``` ## Author(s) Giulio Barcaroli

prepareInputToAllocation1 function