plot.isoreg
Plot Method for isoreg Objects
Usage
"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, ...)
"lines"(x, col = "red", lwd = 1.5, do.points = FALSE, cex = 1.5, pch = 13, ...)Arguments
- x
- an
isoregobject. - 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
listof arguments (forpointsandlines) 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 inplot()). - col, lwd, cex, pch
- graphical arguments for
lines(), wherecexandpchare only used whendo.pointsisTRUE. - ...
- further arguments passed to and from methods.
See Also
isoreg for computation of isoreg objects.
Examples
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")
Community examples
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