graph {SCVA}

Graphical representation of single-case data

Description

The observed single-case data are plotted.

Usage

graph(design,data=read.table(file.choose(new=FALSE)),xlab="Measurement Times",
ylab="Scores",ylim=NULL,legendxy=NULL,labels=c("A","B","A","B"))

Arguments

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).

data

File in which the data can be found. Default: a window pops up in which the file can be selected.

xlab

Label x axis.

ylab

Label y axis.

ylim

Y axis limits in the form c(min, max).

legendxy

Optional legend location x and y coordinates in the form c(x coordinate, y coordinate). Only used when design is "CRD", "RBD", "ATD" or "Custom".

labels

Optional labels for treatment levels in the form c("A", "B").

Details

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.

For alternation designs, after the plot is drawn, the location of the legend should be indicated by a left mouse click.

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.

Bulte, I., & Onghena, P. (2012). When the truth hits you between the eyes: A software tool for the visual analysis of single-case experimental data. Methodology, 8, 104-114.

http://ppw.kuleuven.be/home/english/research/mesrg

See Also

graph.CL to plot a measure of central tendency as a line parallel to the abscissa.

graph.VAR to display variability information.

graph.TREND to display a possible trend in the data.

graphly to display an interactive plot.

Examples

data(AB)
graph(design = "AB", data = AB)