This function replicates 100 times the before and after values giving a start and end reference.
replicate_data(start,end,by=NULL,Before,After,data)Return a data frame we could call mee_chua containing the values for mu, before and after.
a start value for mu.
an end value for mu.
an increment for the sequence, if not informed (default) the increment is caluculated as the difference between end-start.
a numeric vector giving the data values for the first (before) measure.
a numeric vector giving the data values for the second (after) measure.
an optional data frame containing the before and after variables in the formula. By default the variables are taken from environment (formula)
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Daniela R. Recchia, Thomas Ostermann.
In order to overcome the limitation of Mee and Chua's test regarding the population mean mu a replication of the data is performed.
After replicating the data the unknown population mean mu is systematically estimated over a range of values. Further estimations will be based on this new dataset.
Ostermann, T., Willich, Stefan N. & Luedtke, Rainer. (2008). Regression toward the mean - a detection method for unknown population mean based on Mee and Chua's algorithm. BMC Medical Research Methodology.
Galton, F. (1886). Regression towards mediocrity in heriditary stature. Journal of the Anthropological Institute (I5: 246-263).
replicate_data(50,60,"Before","After",data=language_test)Run the code above in your browser using DataLab