PairedData (version 0.5)

plotSliding: Sliding square plot

Description

Produce a sliding square plot for paired data which mixes the usual scatterplot with the tukey mean-difference plot.

Usage

plotSliding(df,condition1,condition2,xlab = "", ylab = "", ...)

Arguments

df

Data frame

condition1

name of the variable corresponding to measurements in the "first" condition

condition2

name of the variable corresponding to measurements in the "second" condition

xlab

new label for X axis

ylab

new label for Y axis

...

Arguments to be passed to methods, such as graphical parameters (see par)

References

• P.R. Rosenbaum. Exploratory plot for paired data. American Statistician, 43, 108-110, 1989.
• J.S. Pontius and R.M. Schantz. Graphical analyses of a twoperiod crossover design. The American Statistician, 48, 249-253, 1994.
• R.M. Pruzek and J.E. Helmreich. Enhancing dependent sample analyses with graphics. Journal of Statistics Education, 17, 2009.

See Also

plotCor, plotBA, plotMcNeil

Examples

data(PrisonStress)
plotSliding(df=PrisonStress,condition1="PSSbefore",condition2="PSSafter")
plotSliding(df=PrisonStress,condition1="PSSbefore",condition2="PSSafter",xlab="Before",ylab="After")