| twoStepTransform {superb} | R Documentation |
two-step transform for subject centering and bias correction
Description
twoStepTransform is a transformation that can
be applied to a matrix of data. The resulting matrix is both
subject-centered and bias corrected, a technique called
the CM technique (Baguley 2012; Cousineau 2005; Morey 2008)
Usage
twoStepTransform(dta, variables)
Arguments
dta |
a data.frame containing the data in wide format; |
variables |
a vector of column names on which the transformation will be applied. the remaining columns will be left unchanged |
Value
a data.frame of the same form as dta with the variables transformed.
This function is useful when passed to the argument preprocessfct of superbPlot()
where it performs a modification of the data matrix.
References
Baguley T (2012).
“Calculating and graphing within-subject confidence intervals for ANOVA.”
Behavior Research Methods, 44, 158 – 175.
doi:10.3758/s13428-011-0123-7.
Cousineau D (2005).
“Confidence intervals in within-subject designs: A simpler solution to Loftus and Masson's method.”
Tutorials in Quantitative Methods for Psychology, 1, 42 – 45.
doi:10.20982/tqmp.01.1.p042.
Morey RD (2008).
“Confidence Intervals from Normalized Data: A correction to Cousineau (2005).”
Tutorials in Quantitative Methods for Psychology, 4, 61 – 64.
doi:10.20982/tqmp.04.2.p061.