non_recursive_mc {prepdat} | R Documentation |
Non-recursive Outlier Removal Procedure with Moving Criterion
Description
Non-recursive outlier removal procedure with moving criterion according to Van Selst & Jolicoeur (1994).
Usage
non_recursive_mc(exp_cell)
Arguments
exp_cell |
Numeric vector on which the outlier removal method takes
place. If experimental cell has 4 trials or less it will result in
|
Value
A vector with the mean of exp_cell
after removing outliers,
percent of trials removed, number of trials removed in the procedure,and
total number of trials in exp_cell
before outlier removal.
References
Grange, J.A. (2015). trimr: An implementation of common response time trimming methods. R Package Version 1.0.0. https://cran.r-project.org/package=trimr
Van Selst, M., & Jolicoeur, P. (1994). A solution to the effect of sample size on outlier elimination. The quarterly journal of experimental psychology, 47(3), 631-650.
[Package prepdat version 1.0.8 Index]