plotJT: display a plot of the obtained Jacobson-Truax indices

In AWKruijt/JT-RCI: obtain and plot Jacobson-Truax and reliable change indices

Description

This function plotsdata stored in the JTRCIdf dataframe that is outputted by the JTRCI() function. When JTRCI() is run with it's default value 'plot = T', it will call upon either plotRCI() or plotJT() to create a plot. plotRCI() and plotJT() can also be called directly by the user to output plots after having obtained the JTRCIdf (by running JTRCI())

Usage

plotJT(data = JTRCIdf, addInfoLegend = c("yes", "classcounts",
  "JTcrit", "no"), useGroups = F, facetplot = F, addJitter = F,
  xlab = "pre", ylab = "post", plottitle = "Jacobson-Truax plot")

Arguments

data	dataframe to use, default is JTRCIdf.
addInfoLegend	choice of "yes", "classcounts", "JTcrit" or "no": if "yes" (default) both a count of observations within each JT class (or within each class and group) and the type and value of the JT criterion will be added to the plot legends. If "classcounts", only the counts will be added, if "JTcrit" only the criterion-information will be added, and if "no", no additional information will be displayed in the legends.
useGroups	logical. If 'useGroups = T', dots are given different shapes, and counts are given seperately, for each level of the group variable originally provided in the call to JTRCI()
facetplot	logical. If 'facetplot = T', different groups are plotted in separate facets
addJitter	logical. If 'addJitter = T', a small amount of random jitter is added to each data point in the plot.
xlab	label to use for the x-axis.
ylab	label to use for the y-axis.
plottitle	title to show at the top of the plot.

Value

a plot showing Jacobson-Truax indices.

Examples

plotJT(xlab = "score pre", ylab = "score post", plottitle = "my JT plot", useGroups = F)

AWKruijt/JT-RCI documentation built on July 9, 2019, 3:54 p.m.