ES: measure of effect size
In SCMA: Single-Case Meta-Analysis

Description Usage Arguments Details Author(s) References Examples

View source: R/ES.R

Calculates the specified effect size measure.

1	ES(design, ES, data = read.table(file.choose(new = FALSE)))

`design`	Type of single-case design: "AB", "ABA", "ABAB", "CRD"(completely randomized design), "RBD" (randomized block design), "ATD" (alternating treatments design), "MBD" (multiple-baseline AB design) or "Custom" (user specified design).
`ES`	Type of effect size that has to be calculated: "SMD" (standardized mean difference), "SMDpool" (pooled standardized mean difference), "PND+" / "PND-" (percentage of nonoverlapping data, depending on the expected direction of the treatment effect), "PEM+" / "PEM-" (percentage of data points exceeding the median, depending on the expected direction of the treatment effect), or "NAP+" / "NAP-" (nonoverlap of all pairs, depending on the expected direction of the treatment effect).
`data`	File in which the data can be found. Default: a window pops up in which the appropriate file can be selected.

When using the default 'data' argument, a window will pop up to ask in what file the data can be found. This text file containing the data should consist of two columns for single-case phase and alternation designs: the first with the condition labels and the second with the obtained scores.

For multiple-baseline designs, it should consist of these two columns for EACH unit. This way, each row represents one measurement occasion. It is important not to label the rows or columns.

Missing data should be indicated as NA. For calculations, missing data are omitted.

Isis Bulte

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