View source: R/connect_to_formr.R
formr_aggregate | R Documentation |
If you've retrieved an item table using formr_items()
you can use this
function to aggregate your multiple choice items into mean scores.
If you do not have a item table (e.g. your data was not collected using formr, you don't want another HTTP request in a time-sensitive process).
Example: If your data contains Extraversion_1, Extraversion_2R and Extraversion_3, there will be two new variables in the result: Extraversion_2 (reversed to align with _1 and _2) and Extraversion, the mean score of the three.
formr_aggregate(
survey_name,
item_list = formr_items(survey_name, host = host),
results = formr_raw_results(survey_name, host = host),
host = formr_last_host(),
compute_alphas = FALSE,
fallback_max = 5,
plot_likert = FALSE,
quiet = FALSE,
aggregation_function = rowMeans,
...
)
survey_name |
case-sensitive name of a survey your account owns |
item_list |
an item_list, will be auto-retrieved based on survey_name if omitted |
results |
survey results, will be auto-retrieved based on survey_name if omitted |
host |
defaults to |
compute_alphas |
deprecated, functionality migrated to codebook package |
fallback_max |
defaults to 5 - if the item_list is set to null, we will use this to reverse |
plot_likert |
deprecated, functionality migrated to codebook package |
quiet |
defaults to FALSE - If set to true, likert plots and reliability computations are not echoed. |
aggregation_function |
defaults to rowMeans with na.rm = FALSE |
... |
passed to |
results = jsonlite::fromJSON(txt =
system.file('extdata/gods_example_results.json', package = 'formr', mustWork = TRUE))
items = formr_items(path =
system.file('extdata/gods_example_items.json', package = 'formr', mustWork = TRUE))
results = formr_recognise(item_list = items, results = results)
agg = formr_aggregate(item_list = items, results = results,
compute_alphas = FALSE, plot_likert = FALSE)
agg[, c('religiousness', 'prefer')]
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