# plot.isoreg

0th

Percentile

##### Plot Method for isoreg Objects

The plot and lines method for R objects of class isoreg.

Keywords
hplot, print
##### Usage
# S3 method for isoreg
plot(x, plot.type = c("single", "row.wise", "col.wise"),
main = paste("Isotonic regression", deparse(x$call)), main2 = "Cumulative Data and Convex Minorant", xlab = "x0", ylab = "x$y",
par.fit = list(col = "red", cex = 1.5, pch = 13, lwd = 1.5),
mar = if (both) 0.1 + c(3.5, 2.5, 1, 1) else par("mar"),
mgp = if (both) c(1.6, 0.7, 0) else par("mgp"),
grid = length(x\$x) < 12, …)# S3 method for isoreg
lines(x, col = "red", lwd = 1.5,
do.points = FALSE, cex = 1.5, pch = 13, …)
##### Arguments
x
an isoreg object.
plot.type
character indicating which type of plot is desired. The first (default) only draws the data and the fit, where the others add a plot of the cumulative data and fit. Can be abbreviated.
main
main title of plot, see title.
main2
title for second (cumulative) plot.
xlab, ylab
x- and y- axis annotation.
par.fit
a list of arguments (for points and lines) for drawing the fit.
mar, mgp
graphical parameters, see par, mainly for the case of two plots.
grid
logical indicating if grid lines should be drawn. If true, grid() is used for the first plot, where as vertical lines are drawn at ‘touching’ points for the cumulative plot.
do.points
for lines(): logical indicating if the step points should be drawn as well (and as they are drawn in plot()).
col, lwd, cex, pch
graphical arguments for lines(), where cex and pch are only used when do.points is TRUE.
further arguments passed to and from methods.
isoreg for computation of isoreg objects.
library(stats) require(graphics) utils::example(isoreg) # for the examples there plot(y3, main = "simple plot(.) + lines(<isoreg>)") lines(ir3) ## 'same' plot as above, "proving" that only ranks of 'x' are important plot(isoreg(2^(1:9), c(1,0,4,3,3,5,4,2,0)), plot.type = "row", log = "x") plot(ir3, plot.type = "row", ylab = "y3") plot(isoreg(y3 - 4), plot.t="r", ylab = "y3 - 4") plot(ir4, plot.type = "ro", ylab = "y4", xlab = "x = 1:n") ## experiment a bit with these (C-c C-j): plot(isoreg(sample(9), y3), plot.type = "row") plot(isoreg(sample(9), y3), plot.type = "col.wise") plot(ir <- isoreg(sample(10), sample(10, replace = TRUE)), plot.type = "r")