library(tidyverse)
# building the bones of the data
# Specify the ranges of each of the data
#
household_design <- expand_grid(
month = c(1,2,3, 13, 14, 15),
arm = c("C", "I"),
b_a = c("b", "a"),
village = c(1,2),
household = 1
)
household_design
#> # A tibble: 48 × 5
#> month arm b_a village household
#> <dbl> <chr> <chr> <dbl> <dbl>
#> 1 1 C b 1 1
#> 2 1 C b 2 1
#> 3 1 C a 1 1
#> 4 1 C a 2 1
#> 5 1 I b 1 1
#> 6 1 I b 2 1
#> 7 1 I a 1 1
#> 8 1 I a 2 1
#> 9 2 C b 1 1
#> 10 2 C b 2 1
#> # ℹ 38 more rows
# Then, within each level here, we can simulate 3 random samples
household_data <- household_design |>
group_by(
month,
arm,
b_a,
village,
household
) |>
mutate(
weight = list(rpois(n = 3, lambda = 5))
)Created on 2025-02-24 with reprex v2.1.1
Session info
sessioninfo::session_info()
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