# Generated by pointblank library(pointblank) method_test_loarmean <- function(df){ tbl <- df test_that("column `paper_id` is of type: character", { expect_col_is_character( tbl, columns = vars(paper_id), threshold = 1 ) }) test_that("column `method` is of type: character", { expect_col_is_character( tbl, columns = vars(method), threshold = 1 ) }) # test_that("column `method_applied` is of type: character", { # # expect_col_is_character( # tbl, # columns = vars(method_applied), # threshold = 1 # ) # }) # # test_that("column `no_quiz_scores_for_claim` is of type: logical", { # # expect_col_is_logical( # tbl, # columns = ends_with("_for_claim"), # threshold = 1 # ) # }) test_that("values in `cs` should be between `0` and `1`", { expect_col_vals_between( tbl, columns = vars(cs), left = 0, right = 1, threshold = 1 ) }) test_that("column `cs` is of type: numeric", { expect_col_is_numeric( tbl, columns = vars(cs), threshold = 1 ) }) test_that("all values in `cs` should not be NULL", { expect_col_vals_not_null( tbl, columns = vars(cs), threshold = 1 ) }) test_that("all values in `n_experts` should not be NULL", { expect_col_vals_not_null( tbl, columns = vars(n_experts), threshold = 1 ) }) } # Test LOArMean Flag for Quiz, Engwagg and Reasoning methods # Quiz -------------------------------------------------------------------- QuizWAgg <- LinearWAgg(data_ratings, weights = data_supp_quiz %>% dplyr::rename(weight = quiz_score), type = "Participant_LO", name = "QuizWAgg", placeholder = FALSE, flag_loarmean = TRUE, percent_toggle = TRUE) method_test_loarmean(QuizWAgg) # Reasons ----------------------------------------------------------------- ReasonWAgg <- ReasoningWAgg(data_ratings, reasons = data_supp_reasons, type = "ReasonWAgg", percent_toggle = TRUE, flag_loarmean = TRUE, placeholder = FALSE) ReasonWAgg2 <- ReasoningWAgg(data_ratings, reasons = data_supp_reasons, type = "ReasonWAgg2", placeholder = FALSE, flag_loarmean = TRUE, percent_toggle = TRUE) BetaReasonWAgg <- ReasoningWAgg(data_ratings, reasons = data_supp_reasons, type = "ReasonWAgg", name = "BetaReasonWAgg", beta_transform = TRUE, beta_param = c(6,6), placeholder = FALSE, flag_loarmean = TRUE, percent_toggle = TRUE) BetaReasonWAgg2 <- ReasoningWAgg(data_ratings, reasons = data_supp_reasons, type = "ReasonWAgg2", name = "BetaReasonWAgg2", beta_transform = TRUE, beta_param = c(6,6), placeholder = FALSE, flag_loarmean = TRUE, percent_toggle = TRUE) method_test_loarmean(ReasonWAgg) method_test_loarmean(ReasonWAgg2) method_test_loarmean(BetaReasonWAgg) method_test_loarmean(BetaReasonWAgg2)