## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ----------------------------------------------------------------------------- library(corella) library(tibble) df <- tibble::tibble( name = c("Eolophus roseicapilla", "Eolophus roseicapilla"), latitude = c(-35.310, -35.273), longitude = c(149.125, 149.133), place = c("a big tree", "an open field") ) df ## ----------------------------------------------------------------------------- df |> set_coordinates(decimalLatitude = place, # wrong column decimalLongitude = longitude) ## ----term-table-output, out.extra='max-height:200px;', class.output='output-scroll'---- library(gt) library(dplyr) object <- darwin_core_terms |> select(set_function, term) |> filter(!is.na(set_function)) |> arrange(match(term, c("basisOfRecord", "occurrenceID", "scientificName", "occurrenceID", "scientificName", "decimalLatitude", "decimalLongitude", "geodeticDatum", "coordinateUncertaintyInMeters", "eventDate") ), desc(set_function) ) object |> mutate( check_function = glue::glue("check_{term}()") ) |> dplyr::select(2, 3, 1) |> dplyr::rename( "Term" = term, "check function" = check_function, "set function" = set_function ) |> gt() |> cols_align( align = "left" ) |> tab_header( title = md("Supported Darwin Core terms"), subtitle = "and their associated functions" ) |> tab_style( style = list( cell_fill(color = "#92b4ea", alpha = 0.3), cell_text(font = c(google_font(name = "Roboto"))) ), locations = cells_body(columns = c("Term")) ) |> tab_style( style = list( cell_borders(sides = c("l"), color = "gray50", weight = px(3)), cell_text(font = c(google_font(name = "Fira Mono"))) ), locations = cells_body(columns = c("check function", "set function")) ) |> tab_options( container.height = "450px" ) ## ----------------------------------------------------------------------------- df <- tibble::tibble( decimalLatitude = c(-35.310, "-35.273"), # deliberate error for demonstration purposes decimalLongitude = c(149.125, 149.133), date = c("14-01-2023", "15-01-2023"), individualCount = c(0, 2), scientificName = c("Callocephalon fimbriatum", "Eolophus roseicapilla"), country = c("AU", "AU"), occurrenceStatus = c("present", "present") ) df |> check_dataset()