## S3 method for class 'corregp':
ciplot(x, parm = "x", axis, cl = 0.95, nq = TRUE,
horiz = FALSE, na.rm = FALSE, type = "p", col = "darkgrey",
cex = par("cex"), font = par("font"), alim = NULL, adir = 1,
ecol = "darkgrey", ewid = par("lwd"), etyp = par("lty"), psym = 16,
pcol = par("col"), pcex = cex, pbgc = par("bg"), lwd = ewid,
lty = etyp, sfrac = 0.01, gap = 1, main = NULL, sub = NULL, ...)
ciplot(x, ...)corregp (i.e. an object of class "corregp")."y", "x", or any vector of term names in X, level names in X or
level names in Y. Defaults to "x".0.95.qnorm) in the computation of the confidence intervals.
Defaults to TRUE. If FALSE, then the confidence intervalsFALSE.NA coordinates from the plot. Defaults to FALSE.plot.default. For correspondence regression, there is an additional option "labs" which
plots the text labels at the centers of the confidence intervals. Defnumeric or see colors.1 for plain, 2 for bold, 3 for italic, and 4 for bold italic. Defaults to 1.numeric value between 0 and 3 (see the las argument in
the graphical parameters par<numeric or see colors.0 or "blank", 1 or "solid", 2 or "dashed", 3 or "dotted",
4 or "dotdash", 5 or numeric or see colors.numeric or see colors.0 or "blank", 1 or "solid", 2 or "dashed",
3 or "dotted", 4 ciplot (of a corregp output) makes use of plotCI from the package ci, plotCI.data(HairEye)
haireye.crg <- corregp(Eye ~ Hair * Sex, data = HairEye, b = 3000)
ciplot(haireye.crg, parm = "y", axis = 1)
ciplot(haireye.crg, parm = c("Hair", "Sex"), axis = 1)Run the code above in your browser using DataLab