This function plots bootstrap equating results for objects of class ‘bootstrap’ .
## S3 method for class 'bootstrap'plot( x, add =FALSE, out ="mean", xpoints, ypoints, addident =TRUE, identy, identcol =1, rescale = c(0,1), xlab ="Total Score", ylab, col = rainbow(length(x$args)), pch, lty =1, subset, morepars =NULL, addlegend =TRUE, legendtext, legendplace ="bottomright",...)
Arguments
x: output from the bootstrap function.
add: logical, with default FALSE, specifying whether to create a new plot or add to the current one.
out: character vector specifying the output to be plotted, either the mean equated scores ("mean"), standard errors ("se"), bias ("bias"), or RMSE ("rmse").
xpoints, ypoints: optional vectors of the same length containing raw scores on forms X and Y, assuming a single group or equivalent groups design.
addident: logical, with default TRUE, for plotting the identity function. The result depends on out.
identy: vector of y coordinates for plotting the identity line. Defaults to the identity function when out = "eqs", otherwise, a horizontal line with intercept 0.
identcol: color used for plotting the identity line.
rescale: intercept and slope, with default 0 and 1, used to rescale all lines before plotting.
xlab, ylab, col, pch, lty: graphical parameters passed to par, with the lengths of col and lty recycled as necessary.
subset: vector for subsetting the output when multiple equating functions are included in x.
morepars: list of additional graphical parameters, excluding xlab, ylab, col, pch, lty.
addlegend: logical, with default TRUE, indicating whether or not a legend should be added.
legendtext: character vector of text to be passed to the legend
argument of the legend function, defaulting to a combination of the equating types and methods specified in each equating object.
legendplace: placement of the legend.
...: further arguments passed to or from other methods, excluding graphical parameters.
Details
Lines are plotted for the chosen output type, whether mean equated scores across replications (out = "mean"), standard errors (out = "se"), bias (out = "bias") or RMSE (out = "rmse"). The result is similar to that of plot.equate.