modifiedRecursive takes a data frame of RT data and returns trimmed rt
data that fall below a set standard deviation above the each participant's
mean for each condition, with the criterion changing as more trials are
removed, as described in van Selst & Jolicoeur (1994).
A data frame. It must contain columns named "participant",
"condition", "rt", and "accuracy". The RT can be in seconds
(e.g., 0.654) or milliseconds (e.g., 654). Typically, "condition" will
consist of strings. "accuracy" must be 1 for correct and 0 for error
responses.
minRT
The lower criteria for acceptable response time. Must be in
the same form as rt column in data frame (e.g., in seconds OR milliseconds).
All RTs below this value are removed before proceeding with SD trimming.
omitErrors
If set to TRUE, error trials will be removed before
conducting trimming procedure. Final data returned will not be influenced
by errors in this case.
digits
How many decimal places to round to after trimming?
References
Van Selst, M. & Jolicoeur, P. (1994). A solution to the effect
of sample size on outlier elimination. Quarterly Journal of Experimental
Psychology, 47 (A), 631-650.
Examples
# load the example data that ships with trimr
data(exampleData)
# perform the trimming, returning mean RT
trimmedData <- modifiedRecursive(data = exampleData, minRT = 150)
providing 
.