NEWS.md
tibble package loaded, the datasets will return tibbles.pkgdown support.eco_guess only guessed unique values of x, this meant a user with duplicates would have issues assigning x to a data.frame as their lengths would differ.eco_run_all, 0.8 is the default value.message to warning in eco_guess when x vector is coerced from factor to character.eco_run_all for cases where n > 1 or n < 0. If this happens, n defaults to 0.8.eco_guess to make it faster. This function takes a vector, converts it to a data.table, and does all the matching on unique values only. Then joins the missing field to the original (non unique) data.table and returns a vector containing values for the missing field.extract_data now preserves the original rownames as a column rn using the keep.rownames = TRUE argument in as.data.table. This allows users to join additional variables back to the benefits dataframe. Especially important given this type of data is usually spatial. There is still the issue of reading data as the fread function isn’t preserving rownames. Will come back to that at some point.Vignettes.