bias-correction transform

Source: R/functionsTransformation.R

biasCorrectionTransform() is a transformation that can be applied to a matrix of data. The resulting matrix's variance is corrected for bias (Morey 2008; Baguley 2012; Cousineau and O’Brien 2014) ;

biasCorrectionTransform(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 superb() 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, O’Brien F (2014). “Error bars in within-subject designs: a comment on Baguley (2012).” Behavior Research Methods, 46(4), 1149–1151. doi:10.3758/s13428-013-0441-z .

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 .