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Processed, aggregated results

formr_post_process_results.Rd

This function chains formr_recognise() and formr_aggregate() in sequence. Useful if you want to post-process raw results before aggregating etc.

Usage

formr_post_process_results(
  item_list = NULL,
  results,
  compute_alphas = FALSE,
  fallback_max = 5,
  plot_likert = FALSE,
  quiet = FALSE,
  item_displays = NULL,
  tag_missings = !is.null(item_displays),
  remove_test_sessions = TRUE
)

Arguments

item_list

an item_list, defaults to NULL

results

survey results

compute_alphas

passed to formr_aggregate, defaults to TRUE

fallback_max

passed to formr_reverse, defaults to 5

plot_likert

passed to formr_aggregate, defaults to TRUE

quiet

passed to formr_aggregate, defaults to FALSE

item_displays

an item display table, necessary to tag missings

tag_missings

should missings that result from an item not being shown be distinguished from missings due to skipped questions?

remove_test_sessions

by default, formr removes results resulting from test session (animal names and null session codes)

Examples

results = jsonlite::fromJSON(txt = 
  system.file('extdata/BFI_post.json', package = 'formr', mustWork = TRUE))
items = formr_items(path = 
  system.file('extdata/BFI_post_items.json', package = 'formr', mustWork = TRUE))
item_displays = jsonlite::fromJSON(
  system.file('extdata/BFI_post_itemdisplay.json', package = 'formr', mustWork = TRUE))
processed_results = formr_post_process_results(items, results, item_displays = item_displays,
compute_alphas = FALSE, plot_likert = FALSE)
#> No test users detected.