View source: R/connect_to_formr.R
formr_post_process_results | R Documentation |
This function chains formr_recognise()
and formr_aggregate()
in sequence. Useful if you want to post-process raw results before aggregating etc.
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
)
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) |
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)
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