replicate_data {regtomean}

Replicates before and after values 100 times.

Description

This function replicates 100 times the before and after values giving a start and end reference.

Usage

replicate_data(start,end,by=NULL,Before,After,data)

Arguments

start

a start value for mu.

end

an end value for mu.

by

an increment for the sequence, if not informed (default) the increment is caluculated as the difference between end-start.

Before

a numeric vector giving the data values for the first (before) measure.

After

a numeric vector giving the data values for the second (after) measure.

data

an optional data frame containing the before and after variables in the formula. By default the variables are taken from environment (formula)

.

Details

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.

Value

Return a data frame we could call mee_chua containing the values for mu, before and after.

Author(s)

Daniela R. Recchia, Thomas Ostermann.

References

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).

See Also

rep

Examples

replicate_data(50,60,"Before","After",data=language_test)