Updated: 12 August, 2022
Added new functions to assist in processing and cleaning data.
center() to calculate z-score or centered scores for
a list of variables
composiste() to calculate a composite score for a
group of variables. Composites can be calculated using different
replace_outliers() to replace outlier values with
missing or some other method (e.g., mean). There is an option to save
the outlier values to a data file to store a log of what rows in the
data were removed.
remove_missing() to remove subjects with too much
missing data on a group of tasks for any given construct.
MemoryTargets and Recalled to more easily see and analyze the sequence of memory items and the sequence of recalled items on each trial.
EditDistance.unit and EditDistance.load calculate the trial scores based on the edit distance scoring method. See Gonthier et al. (2022).
Got rid of Recall.correct as it was redundant with Partial.load
Gonthier, C. (2022). An easy way to improve scoring of memory span tasks: The edit distance, beyond “correct recall in the correct serial position.” Behavior Research Methods, 16. https://doi.org/10.3758/s13428-022-01908-2
Updated: 5 May, 2022
Minor update only
score_visualarrays(). Added a
taskname = argument for different types of visual arrays
Updated: 12 May, 2021
Minor update only
Adds PartialScore and AbsoluteScore variables to score_ functions output for complex-span tasks
Updated: 24 February, 2021
This is a major update and will break previous versions (my apologies)
This is the first major release and will hopefully be stable after this
raw_ functions work pretty much the same and
might not break from previous versions
score_ functions will break and have been made
to be more flexible, such as using them to calculate alternate span
scores and reliability estimates.
See new Vignettes explaining this all: