# Biological hits per category The `hits_by_groupings_DT` (DT option) and `hits_by_groupings` (data frame option) functions create tables with one row per category("Biological", "Chemical", or "Chemical Class"). The columns indicate the "Biological" groupings. The values in the table signify how many sites have samples with EARs that exceeded the hit_threshold for that particular "Biological"/category combination. If the user chooses "Biological" as the category, it is a simple 2-column table of "Biological" groupings and number of sites (nSites). ```r hits_by_groupings_DT( chemical_summary, category = "Biological", mean_logic = FALSE, sum_logic = TRUE, hit_threshold = 0.1 ) hits_by_groupings( chemical_summary, category, mean_logic = FALSE, sum_logic = TRUE, hit_threshold = 0.1 ) ``` ## Arguments - `chemical_summary`: Data frame from `get_chemical_summary`. - `category`: Character. Either "Biological", "Chemical Class", or "Chemical". - `mean_logic`: Logical. `TRUE` displays the mean sample from each site, `FALSE` displays the maximum sample from each site. - `sum_logic`: Logical. `TRUE` sums the EARs in a specified grouping, `FALSE` does not. `FALSE` may be better for traditional benchmarks as opposed to ToxCast benchmarks. - `hit_threshold`: Numeric threshold defining a "hit". ## Returns data frame with one row per category, and one column per Biological grouping. ## Details The tables result in slightly different results for a single site, displaying the number of samples with hits rather than the number of sites. ## Examples ```r # This is the example workflow: path_to_tox <- system.file("extdata", package = "toxEval") file_name <- "OWC_data_fromSup.xlsx" full_path <- file.path(path_to_tox, file_name) tox_list <- create_toxEval(full_path) ACC <- get_ACC(tox_list$chem_info$CAS) ACC <- remove_flags(ACC) cleaned_ep <- clean_endPoint_info(end_point_info) filtered_ep <- filter_groups(cleaned_ep) chemical_summary <- get_chemical_summary(tox_list, ACC, filtered_ep) site_df <- hits_by_groupings(chemical_summary, category = "Biological") hits_by_groupings_DT(chemical_summary, category = "Biological") hits_by_groupings_DT(chemical_summary, category = "Chemical Class") hits_by_groupings_DT(chemical_summary, category = "Chemical") ```

hits_by_groupings_DT function