Read the completed rating sheets — import_human

Read completed sheets and join them to the separate key. The function restores original material IDs and condition labels, then puts the ratings into the long format used by the rest of the package. I'd run human_check on this output to compare conditions.

Usage

import_human_ratings(path, key_path, dimensions = NULL, scale = NULL)

Arguments

path: Path to a completed sheet, or a character vector of paths.
key_path: Path to the key written by export_rating_task.
dimensions: Character vector of dimension column names to read. If NULL, every column other than material_id, text, and rater is treated as a dimension.
scale: Optional numeric length-2 vector. Ratings outside the scale are set to NA and reported.

Value

A long tibble with material_id, condition, rater, dimension, and rating.

Examples

if (FALSE) { # \dontrun{
human <- import_human_ratings(
  c("ratings_rater1.csv", "ratings_rater2.csv"),
  key_path = "ratings_key.csv"
)
human_check(human, target = c(economic = "economic", moral = "moral"))
} # }