context("Testing gsim with Banking Case ")
# Configure this test to fit your need
test_that(
"gsim-bank",{
# Create new datset
states <- list("New York", "Connecticut" , "California" , "Maine" , "Alabama" , "Texas")
proportions <- list(.32 ,.05 , .15 , .03 , .07 , .38)
jobs <- dplyr::tribble(
~job, ~proportion,
"admin", 1,
"b", 2,
"c", 3
)
# jobs <- c('admin','blue-collar','entrepreneur','housemaid','management','retired','self-employed','services','student','technician','unemployed','unknown')
# job_pro <- (.15 , .20 , .1 , .05 ,.02 , .20 , .3 , .02 , )
bank <- gsim(target_rows = 5000) %>%
gs_id_seq(colname = "id" , start = 100000) %>%
gs_chr_names(colname = "full_name") %>%
gs_fct(fcts = states , splits = proportions , colname = "states") %>% #states
# gs_fct(fct = jobs , splits = list(.1,.2,.3,.25,.15) , colname = "jobs") %>% # job
gs_norm(mu = 45 , sd = 20 , colname = "age" , min = 18 , max =73) %>% #age
gs_norm_corr(corr_col = "age" ,mu = 44000 , sd = 20000 , r = .7 , colname = "income" )
testthat::expect_equal(nrow(bank) , 5000)
testthat::expect_lt(max(bank$age) , 73 + 1)
}
)
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