# Example data ------------------------------------------------------------ df1 <- tibble::tribble( ~x1, ~x2, ~sd1, ~sd2, ~n, "3.43", "5.28", "1.09", "2.12", 70, "2.97", "4.42", "0.43", "1.65", 65 ) df2 <- tibble::tribble( ~x1, ~x2, ~sd1, ~sd2, ~n, "0.30", "0.28", "0.17", "0.10", 70, "0.41", "0.39", "0.09", "0.15", 65 ) # Expected output --------------------------------------------------------- df1_grim_exp <- tibble::tibble( term = c("hits_total", "hits_forth", "hits_back", "scenarios_total", "hit_rate"), mean = c(2, 1.5, 0.5, 12, 0.1666666666666666574148), sd = c( 1.414213562373095145475, 0.7071067811865475727373, 0.7071067811865475727373, 0, 0.1178511301977579195377 ), median = c(2, 1.5, 0.5, 12, 0.1666666666666666574148), min = c(1, 1, 0, 12, 0.0833333333333333287074), max = c(3, 2, 1, 12, 0.25), na_count = numeric(5), na_rate = numeric(5), ) df1_grimmer_exp <- tibble::tibble( term = c("hits_total", "hits_forth", "hits_back", "scenarios_total", "hit_rate"), mean = c(1, 0.5, 0.5, 12, 0.0833333333333333287074), sd = c(0, 0.7071067811865475727373, 0.7071067811865475727373, 0, 0), median = c(1, 0.5, 0.5, 12, 0.0833333333333333287074), min = c(1, 0, 0, 12, 0.0833333333333333287074), max = c(1, 1, 1, 12, 0.0833333333333333287074), na_count = numeric(5), na_rate = numeric(5) ) df2_debit_exp <- tibble::tibble( term = c("hits_total", "hits_forth", "hits_back", "scenarios_total", "hit_rate"), mean = c(0, 0, 0, 12, 0), sd = numeric(5), median = c(0, 0, 0, 12, 0), min = c(0, 0, 0, 12, 0), max = c(0, 0, 0, 12, 0), na_count = numeric(5), na_rate = numeric(5), ) # Testing ----------------------------------------------------------------- test_that("`audit()` for `audit_total_n()` works correctly", { df1 %>% grim_map_total_n() %>% audit_total_n() %>% audit() %>% expect_equal(df1_grim_exp) df1 %>% grimmer_map_total_n() %>% audit_total_n() %>% audit() %>% expect_equal(df1_grimmer_exp) df2 %>% debit_map_total_n() %>% audit_total_n() %>% audit() %>% expect_equal(df2_debit_exp) })