combine: Statistical combination of p-values

In SCMA: Single-Case Meta-Analysis

Description

Calculates a general p-value by statistically combining the p-values of a number of independent studies, to determine whether a general significant result is obtained.

Usage

combine(method, pvalues = read.table(file.choose(new = FALSE)))

Arguments

method	Indicates which combining function should be used: "x" (multiplicative) or "+" (additive)
pvalues	File in which the p-values can be found. Default: a window pops up in which the appropriate file can be selected.

Details

When using the default 'pvalues' argument, a window will pop up to ask in what file the pvalues can be found. This text file containing the pvalues should consist of 1 column with all the obtained pvalues.

Author(s)

Isis Bulte

References

Bulte, I., & Onghena, P. (2008). An R package for single-case randomization tests. Behavior Research Methods, 40, 467-478.

Bulte, I., & Onghena, P. (2009). Randomization tests for multiple baseline designs: An extension of the SCRT-R package. Behavior Research Methods, 41, 477-485.

http://ppw.kuleuven.be/cmes/SCRT-R.html

Examples

data(P)
combine(method="+",pvalues=P)

SCMA documentation built on Jan. 9, 2020, 9:06 a.m.