Category conditional response probability

Response probability of within-category transitions, conditional on availability.

Usage

category_crp(
  data,
  category_key,
  item_query = NULL,
  test_key = NULL,
  test = NULL
)

Arguments

data

Merged study and recall data.

category_key

Name of column with category labels.

item_query

Query string to select items to include in the pool of possible recalls to be examined.

test_key

Name of column with labels to use when testing transitions for inclusion.

test

Function that takes in previous and current item values and returns TRUE for transitions that should be included.

Value

Results with subject, prob, actual, and possible columns. The prob column indicates conditional response probability. The actual

column indicates the count of transitions actually made at a given lag. The possible column indicates the number of transitions that could have been made, given item availability (previously recalled items are excluded).

Examples

raw <- sample_data("Morton2013")
data <- merge_free_recall(raw, study_keys = list("category"))
cat_crp <- category_crp(data, "category")
head(cat_crp)
#>   subject      prob actual possible
#> 1       1 0.8011472    419      523
#> 2       2 0.7334559    399      544
#> 3       3 0.7631579    377      494
#> 4       4 0.8148820    449      551
#> 5       5 0.8772727    579      660
#> 6       6 0.8096154    421      520